WorksPhysics and Astronomy
The Most Luminous Known Fast Blue Optical Transient AT 2024wpp: Unprecedented Evolution and Properties in the Ultraviolet to the Near-Infrared
Abstract
We present an extensive photometric and spectroscopic ultraviolet-optical-infrared campaign on the luminous fast blue optical transient (LFBOT) AT 2024wpp over the first ~100 d. AT 2024wpp is the most luminous LFBOT discovered to date, with erg s (5-10 times that of the prototypical AT 2018cow). This extreme luminosity enabled the acquisition of the most detailed LFBOT UV light curve thus far. In the first ~45 d, AT 2024wpp radiated erg, surpassing AT 2018cow by an order of magnitude and requiring a power source beyond the radioactive Ni decay of traditional supernovae. Like AT 2018cow, the UV-optical spectrum of AT 2024wpp is dominated by a persistently blue thermal continuum throughout our monitoring, with blackbody parameters at peak of T>30,000 K and . A temperature of 20,000 K is maintained thereafter without evidence for cooling. We interpret the featureless spectra as a consequence of continuous energy injection from a central source of high-energy emission which maintains high ejecta ionization. After 35 d, faint (equivalent width <10 Å) H and He spectral features with kinematically separate velocity components centered at 0 km s and -6400 km s emerge, implying spherical symmetry deviations. A near-infrared excess of emission above the optical blackbody emerges between 20-30 d with a power-law spectrum at 30 d. We interpret this distinct emission component as either reprocessing of early UV emission in a dust echo or free-free emission in an extended medium above the optical photosphere. LFBOT asphericity and multiple outflow components (including mildly relativistic ejecta) together with the large radiated energy are naturally realized by super-Eddington accretion disks around neutron stars or black holes and their outflows.
Corresponding author: Natalie LeBaron
Introduction
Recently, high-cadence, wide-field optical transient surveys have led to the identification of a new class of astrophysical phenomena, Fast Blue Optical Transients (FBOTs). Characterized by an extremely rapid rise to maximum light ( d), luminous emission which can reach erg s, and persistent blue colors for weeks after peak [30, 141, 109, 4, 92, 115, 106] (Ho et al. 2023a), these transients challenge traditional supernova (SN) models that are powered by the radioactive decay of Ni. Alternative sources of energy are therefore needed. Proposed sources include shock interaction with dense circumstellar material (CSM; e.g., Pellegrino et al. [98]; Margalit [75]; Khatami & Kasen [67]) and a central engine powered either by magnetar spin-down or accretion onto a compact object. There is debate on the nature of the compact object as well as (in the latter case) on the origin of the accreted material. Considered models include magnetar powered supernovae (SNe; Prentice et al. [106]; Vurm & Metzger [156]), accretion onto a compact object at the center of a failed SN Margutti et al. [78]; Quataert et al. [111], merger of a black hole (BH) and Wolf–Rayet (WR) star Metzger [84], tidal disruption event (TDE) of a main-sequence companion star by a stellar-mass BH or neutron star (NS; Tsuna & Lu [146]), and TDE by an intermediate-mass BH (IMBH; Perley et al. [100]; Gutiérrez et al. [46]; Ho et al. (2023b)) .
FBOTs span a wide range of peak luminosities ( erg s; e.g., Ho et al. 2023a), are not intrinsically rare (7–11% of the core-collapse (CC)SN rate; Drout et al. [30]; Ho et al. (2023a)), and are likely a heterogeneous class. Lower luminosity ( erg s) FBOTs likely represent manifestations of the fast-evolving tail of hydrogen-poor SNe (e.g., Ho et al. 2023a) possibly powered by shock interaction (and subsequent shock cooling emission) between their fast ejecta and surrounding CSM. However, there is a subset of FBOTs with erg s that are also associated with luminous radio and/or X-ray emission. These luminous (L)FBOTs (also called “cow-like” transients after the prototypical AT 2018cow) are much rarer ( the CCSN rate; Coppejans et al. [25]; Ho et al. (2023a)), and thus either represent the outcome of a more unusual stellar evolution pathway (e.g., Tsuna & Lu [146]) or might not be stellar explosions at all (e.g., Metzger [84]). Their persistent blue colors (indicative of high temperatures K) and featureless ultraviolet (UV)–optical–near-infrared (NIR) spectra over many weeks point to the presence of a central heating source that is distinct from the outer shock CSM interaction. From this perspective LFBOTs present clear observational analogies to the recently identified class of featureless TDEs ([47, 162]), which may also extend to the underlying physics of these phenomena.
Identified LFBOTs accompanied with X-ray/radio emission include AT 2018cow ([78, 100, 106, 21] (Ho et al. 2019)), AT 2018lug (ZTF18abvkwla, the “Koala”; Ho et al. 2020), AT 2020mrf ([161]), AT 2022tsd ([81] (Ho et al. 2023b)), CRTS-CSS161010 J045834-081803 (CSS161010; [25, 46]), AT 2020xnd ([101, 14] (Ho et al. 2022)), AT 2023fhn (Chrimes et al. 2024a,b), AT 2024qfm ([39]), and AT 2024wpp ([110, 93]). From this small sample of objects, LFBOTs are inferred to possess aspherical ejecta with outflows that are high velocity near the poles () and lower velocity at the equator (a few 1000 km s). At early times ( d), the ejecta reprocess X-rays produced by the central engine into UV–optical–IR (UVOIR) wavelengths (e.g., [104, 148, 18, 20]). As the ejecta photosphere recedes, H and He features are revealed in their spectra. While such observational features of this class are well-established, the exact ejecta structure and intrinsic nature of LFBOTs is unconstrained owing to the lack of objects with extensive UV–NIR pre- to post-peak photometry and spectroscopy. Only two previous LFBOTs (AT 2018cow and CSS161010) have extensive, multi-epoch optical spectral sequences. AT 2024wpp presents a rare opportunity to obtain this dataset.
AT 2024wpp is the most luminous LFBOT discovered to date (both in the UV and bolometrically); the first to have pre-peak UV photometry, which led to an extensive UV–optical observational campaign; the second to be sampled in the NIR photometrically and spectroscopically, which revealed the second detected LFBOT NIR excess; the second to be observed with optical polarimetry ([110]); and only the third LFBOT with an optical spectral sequence up to 55 d (rest frame), which revealed unprecedented line profiles of H and He. Despite being more distant (411 Mpc) than the closest known LFBOT AT 2018cow (60 Mpc), the extreme luminosity of AT 2024wpp ultimately enabled this well-sampled dataset and allowed for the search for short duration optical flares like those observed in AT 2022tsd (Ho et al. 2023b), which were not detected ([93]). Here in Paper I, we present our mult爱wavelength observations of AT 2024wpp over the first days of evolution, with focus on the transient thermal UVOIR emission. We analyze the broad-band X-ray and radio emission from AT 2024wpp in our companion paper (Nayana et al. 2025, Paper II hereafter). We refer to the results from Paper II where appropriate to build a holistic picture of the event.
This paper is structured as follows. We present our UV, optical and NIR observations (photometry and spectroscopy) in § 2 and derive the bolometric luminosity of the transient in § 3. In § 4, we discuss the astrophysical implications of the observed featureless spectra maintained for weeks after discovery, and the later emergence of H+He emission lines with unusual profiles. Section § 6 explores the nature of the NIR excess in the context of free-free emission and dust models. We discuss in § 7 AT 2024wpp in the context of other LFBOTs and TDEs with similar spectral features, and we conclude in § 8.
From [102], AT 2024wpp is located at redshift , which corresponds to a luminosity distance of 411 Mpc under CDM cosmological parameters km s Mpc, , and ([105]). We estimate the time of first light to be MJD = 60578.3. We refer to times with respect to this , in the observed reference frame, and as UTC unless otherwise stated. Uncertainties in have no impact on our major conclusions. Uncertainties are reported at the (Gaussian equivalent) confidence level and upper limits correspond to a statistical level. We correct for Milky Way (MW) reddening using adopting the [36] model with mag and mag. Other than for the Swift UV photometry discussed in § 2, we assume host galaxy extinction is negligible and do not apply a correction because of the large transient separation from its host (3.1′; [102]) and the lack of narrow absorption lines in the early-time, high-signal-to-noise-ratio (S/N) spectra.
Observations
UV to NIR Photometry
Observations with the Ultra-Violet/Optical Telescope (UVOT; [118]) onboard the Neil Gehrels Swift Observatory ([42]) began on 2024-09-27 at 9:52:34 (δt = 2.1 d, PI M. Coughlin). An extensive one-day cadence UVOT campaign was initiated under our Guest Observer program (PI R. Margutti), and covered the period δt = 5 − 59 d, followed by a lower-cadence campaign to sample the later-time evolution of AT 2024wpp until δt = 119 d. This prompt and intensive monitoring led to the acquisition of the first UV data during the rise time of an FBOT, and to the most detailed UV data on an FBOT to date.
Ground-based optical and NIR photometry of AT 2024wpp was obtained between 2024 October 2 and 2024 October 25 (δt = 7 − 30 d). Photometry in filters , , and was obtained from the Las Cumbres Observatory (LCO) Global Telescope Network 1 m telescopes2 and the Supra Solem Observatory operating in SkiesAway Remote Observatory with a PlaneWave CDK 125 telescope. Additional -, -, and -band photometry as well as three epochs of -band photometry was obtained from the Thacher 0.7 m telescope in Ojai, CA (Swift et al. [140]). Three epochs of optical and NIR observations in filters , , , , and (epoch 1), , , , and (epoch 2), and (epoch 3) were obtained by the 0.6 m robotic Rapid Eye Mount telescope (REM; Zerbi et al. [166]; Covino et al. [26]), located at the European Southern Observatory (ESO) at La Silla (Chile). A fading source was detected consistent with the transient position in all REM optical observations; however, no infrared counterpart was detected in any of the three REM NIR observations. An additional four epochs of NIR imaging were obtained with the Flamingos-2 instrument (Eikenberry et al. [32, 31]) mounted on the Gemini-South Telescope. The first three Gemini epochs are derived from the acquisition images for NIR spectroscopy in the and bands; the fourth epoch was observed in , , and . The source was detected at all Gemini epochs.
We also collected publicly available photometry from the Transient Name Server3 (TNS) AstroNotes and the Asteroid Terrestrial-impact Last Alert System (ATLAS; Tonry et al. [145]; Smith et al. [131]). ATLAS data were obtained through the ATLAS forced-photometry server4. ATLAS photometry is listed in Table B1 and public ZTF photometry reported to TNS (Ho et al. 2024) is listed in Table B2. Magnitudes in these tables are corrected for MW extinction.
| UTC Date | MJD | Phase | Mag | Filter |
| (1) | (2) | (3) | (4) | (5) |
| 2024-09-24 | 60577.3 | -1.0 | o | |
| 2024-09-27 | 60580.0 | 1.7 | o | |
| 2024-10-01 | 60584.9 | 6.6 | o | |
| 2024-10-03 | 60587.0 | 8.7 | o | |
| 2024-10-04 | 60588.0 | 9.7 | o | |
| 2024-10-08 | 60591.5 | 13.2 | o | |
| 2024-10-09 | 60593.0 | 14.6 | o | |
| 2024-10-10 | 60593.1 | 14.8 | o | |
| 2024-10-11 | 60594.6 | 16.3 | o | |
| 2024-10-12 | 60595.9 | 17.6 | o | |
| 2024-10-15 | 60598.4 | 20.1 | o | |
| 2024-10-17 | 60600.1 | 21.7 | o | |
| 2024-10-19 | 60602.3 | 23.9 | o | |
| 2024-10-22 | 60605.3 | 26.9 | o | |
| 2024-10-23 | 60606.2 | 27.9 | o | |
| 2024-09-28 | 60581.3 | 3.0 | c | |
| 2024-09-29 | 60582.2 | 3.9 | c | |
| 2024-10-03 | 60586.2 | 7.9 | c | |
| 2024-10-10 | 60593.2 | 14.9 | c | |
| 2024-10-23 | 60606.9 | 28.5 | c | |
| 2024-10-24 | 60608.0 | 29.6 | c | |
| 2024-10-25 | 60608.0 | 29.7 | c |
Table B1. ATLAS Optical Photometry (AB Mag)
| UTC Date | MJD | Phase | Mag | Filter |
| (6) | (7) | (8) | (9) | (10) |
| 2024-09-25 | 60578.44 | 0.11 | g | |
| 2024-09-26 | 60579.37 | 1.0 | g |
Table B2. Public ZTF AB Optical Photometry
All data were reduced using standard procedures. Swift-UVOT observations span the wavelength range Å ( filter) – Å ( filter; central wavelengths listed). We extracted the UVOT photometry following standard practice and updated zero-points (e.g., Brown et al. [16]). Specifically, we used a 5″-radius source region centered at the location of AT 2024wpp and a 35″-radius source-free region to estimate the background contribution. We merged individual exposures to reach a minimum S/N . We estimate the host galaxy flux contribution to be negligible at early times ( d) for all filters. Final observations in filters and near 100 d are assumed to be host dominated and we use these measurements to host-correct the and data. Pre-explosion observations from the Galaxy Evolution Explorer (GALEX; Martin et al. [79]) measured the host galaxy UV emission to be mag. The GALEX-NUV to Swift- filter correction based on the best-fitting host galaxy spectral energy distribution (SED) from BLAST5 is mag. We thus use the filter-corrected GALEX-NUV measurement (with added 5% systematic uncertainty to account for filter transmission differences) to correct for the host contribution to the Swift observations. Swift-UVOT photometry (with correction for MW extinction but without host correction) is listed in Table B3 (optical filters) and B4 (UV filters).
| UTC Date | MJD | Phasea | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-09-27 | 60580.40 | 2.1 | 16.01 ± 0.05 | 16.46 ± 0.06 | |
| 2024-09-27 | 60580.50 | 2.2 | 16.03 ± 0.05 | 16.43 ± 0.06 | 16.9 ± 0.1 |
| 2024-09-27 | 60580.50 | 2.2 | 16.02 ± 0.05 | 16.45 ± 0.07 | |
| 2024-09-27 | 60580.60 | 2.3 | 15.99 ± 0.04 | 16.43 ± 0.06 | |
| 2024-09-27 | 60580.60 | 2.3 | 16.01 ± 0.05 | 16.37 ± 0.06 | |
| 2024-09-27 | 60580.70 | 2.4 | 15.99 ± 0.04 | 16.36 ± 0.06 | 16.8 ± 0.1 |
| 2024-09-28 | 60581.80 | 3.5 | 15.65 ± 0.04 | 16.04 ± 0.05 | |
| 2024-09-29 | 60582.00 | 3.7 | 15.60 ± 0.04 | 16.01 ± 0.05 | |
| 2024-09-29 | 60582.40 | 4.1 | 15.52 ± 0.04 | 15.99 ± 0.06 | |
| 2024-09-29 | 60582.40 | 4.1 | 15.56 ± 0.04 | ||
| 2024-09-29 | 60582.50 | 4.2 | 15.59 ± 0.04 | 15.98 ± 0.05 | |
| 2024-09-30 | 60583.70 | 5.4 | 15.60 ± 0.04 | 16.12 ± 0.08 | |
| 2024-10-01 | 60584.00 | 5.7 | 15.63 ± 0.05 | 16.03 ± 0.06 | 16.5 ± 0.1 |
| 2024-10-01 | 60584.10 | 5.8 | 15.63 ± 0.05 | 15.94 ± 0.07 | 16.3 ± 0.1 |
| 2024-10-01 | 60584.30 | 6.0 | 15.67 ± 0.06 | 16.09 ± 0.08 | 16.3 ± 0.2 |
| 2024-10-01 | 60584.70 | 6.4 | 15.63 ± 0.04 | 16.11 ± 0.05 | 16.52 ± 0.09 |
| 2024-10-02 | 60585.60 | 7.3 | 15.84 ± 0.04 | 16.22 ± 0.05 | 16.66 ± 0.09 |
| 2024-10-04 | 60587.80 | 9.5 | 16.26 ± 0.05 | 16.77 ± 0.06 | 17.1 ± 0.1 |
| 2024-10-05 | 60588.40 | 10.1 | 16.44 ± 0.05 | 16.88 ± 0.07 | 17.2 ± 0.1 |
| 2024-10-07 | 60590.40 | 12.1 | 16.83 ± 0.06 | 17.28 ± 0.08 | 17.7 ± 0.2 |
| 2024-10-07 | 60590.50 | 12.2 | 16.88 ± 0.04 | 17.49 ± 0.06 | 17.9 ± 0.2 |
| 2024-10-07 | 60590.70 | 12.4 | 16.89 ± 0.04 | 17.37 ± 0.05 | 17.8 ± 0.1 |
| 2024-10-11 | 60594.40 | 16.1 | 18.3 ± 0.2 | ||
| 2024-10-11 | 60594.60 | 16.3 | 17.74 ± 0.07 | 18.3 ± 0.1 | |
| 2024-10-12 | 60595.40 | 17.1 | 18.01 ± 0.09 | 18.2 ± 0.1 | |
| 2024-10-13 | 60596.80 | 18.5 | 18.3 ± 0.2 | ||
| 2024-10-14 | 60597.30 | 19.0 | 18.3 ± 0.1 | 18.7 ± 0.2 | |
| 2024-10-16 | 60599.60 | 21.3 | 18.6 ± 0.1 | ||
| 2024-10-17 | 60600.30 | 22.0 | 18.8 ± 0.1 | ||
| 2024-10-17 | 60600.40 | 22.1 | 19.0 ± 0.3 | ||
| 2024-10-18 | 60601.20 | 22.9 | 18.9 ± 0.1 | ||
| 2024-10-19 | 60602.40 | 24.1 | 19.4 ± 0.2 | ||
| 2024-10-19 | 60602.70 | 24.4 | 19.2 ± 0.2 | ||
| 2024-10-20 | 60603.50 | 25.2 | 19.4 ± 0.4 | ||
| 2024-10-20 | 60603.60 | 25.3 | 19.2 ± 0.2 | ||
| 2024-10-21 | 60604.80 | 26.5 | 19.2 ± 0.2 | ||
| 2024-10-22 | 60605.40 | 27.1 | 19.7 ± 0.2 | ||
| 2024-10-23 | 60606.30 | 28.0 | 20.1 ± 0.3 | ||
| 2024-10-24 | 60607.10 | 28.8 | 19.4 ± 0.2 | ||
| UTC Date | MJD | Phase | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-10-24 | 60607.30 | 29.0 | 19.7 ± 0.3 | ||
| 2024-10-25 | 60608.60 | 30.3 | 19.4 ± 0.2 | ||
| 2024-10-26 | 60609.00 | 30.7 | 19.3 ± 0.2 | ||
| 2024-10-27 | 60610.70 | 32.4 | 19.9 ± 0.3 | ||
| 2024-10-28 | 60611.90 | 33.6 | 20.2 ± 0.3 | ||
| 2024-10-29 | 60612.80 | 34.5 | 20.2 ± 0.6 | 19.4 ± 0.7 | |
| 2024-11-07 | 60621.70 | 43.4 | 20.7 ± 0.3 | ||
| 2024-11-11 | 60625.70 | 47.4 | 21.0 ± 0.4 |
Table B3. Swift UVOT AB Optical Photometry. Table B3 continued.
Supra Solem images were flat-fielded, bias-corrected, and dark-corrected using Maxim DL process6, implemented automatically by the ACP Observatory Control Software7. Template subtraction was performed on the science images with the High Order Transform of Psf ANd Template Subtraction (HOTPANTS; Becker [10]) code with pre-explosion Pan-STARRS images. Aperture photometry was performed on the subtracted images using the photutils package in astropy (Astropy Collaboration et al. [5]), and flux-calibrated from zero-points derived from Pan-STARRS DR2 sources (Flewelling [37]). Supra Solem photometry (MW extinction corrected) is listed in Table B5.
| UTC Date | MJD | Phase | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-10-03 | 60586.4 | 8.1 | 16.94 ± 0.06 | 17.5 ± 0.1 | |
| 2024-10-04 | 60587.4 | 9.0 | 17.02 ± 0.07 | 17.8 ± 0.1 | |
| 2024-10-05 | 60588.4 | 10.0 | 17.65 ± 0.08 | 17.9 ± 0.2 | |
| 2024-10-09 | 60592.5 | 14.1 | 17.86 ± 0.09 | 18.5 ± 0.1 | |
| 2024-10-11 | 60594.3 | 16.0 | 18.6 ± 0.2 | ||
| 2024-10-12 | 60595.5 | 17.1 | 18.5 ± 0.1 | 18.9 ± 0.2 |
Table B5. Supra Solem Optical Photometry (AB Mag)
For the LCO photometry, calibrated BANZAI frames were downloaded from the LCO archive and aperture photometry was performed using the procedure outlined above for Supra Solem Observatory data. LCO photometry (MW extinction corrected) is listed in Table B6.
| UTC Date | MJD | Phase | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-10-02 | 60585.9 | 7.5 | 16.41 ± 0.05 | 16.9 ± 0.2 | 17.39 ± 0.06 |
| 2024-10-03 | 60586.7 | 8.3 | 16.61 ± 0.01 | 17.01 ± 0.02 | 17.50 ± 0.02 |
| 2024-10-04 | 60587.9 | 9.5 | 16.87 ± 0.03 | 17.27 ± 0.03 | 17.67 ± 0.03 |
| 2024-10-04 | 60587.9 | 9.6 | 17.34 ± 0.02 | 17.64 ± 0.04 | |
| 2024-10-05 | 60588.6 | 10.2 | 17.11 ± 0.02 | 17.47 ± 0.02 | 17.83 ± 0.05 |
| 2024-10-06 | 60589.7 | 11.4 | 17.43 ± 0.02 | 17.79 ± 0.02 | 18.01 ± 0.04 |
| 2024-10-07 | 60590.9 | 12.6 | 17.69 ± 0.04 | 17.97 ± 0.05 | 18.27 ± 0.06 |
| 2024-10-10 | 60593.2 | 14.9 | 18.13 ± 0.03 | 18.43 ± 0.04 | 18.59 ± 0.05 |
| 2024-10-10 | 60593.7 | 15.4 | 18.21 ± 0.04 | 18.61 ± 0.04 | 18.83 ± 0.05 |
| 2024-10-12 | 60595.4 | 17.1 | 18.51 ± 0.07 | 18.91 ± 0.06 | 19.3 ± 0.1 |
| 2024-10-15 | 60598.3 | 19.9 | 19.19 ± 0.07 | 19.47 ± 0.09 | 19.4 ± 0.1 |
| 2024-10-24 | 60607.2 | 28.9 | 20.09 ± 0.06 | 20.7 ± 0.1 | 20.6 ± 0.2 |
| 2024-10-25 | 60608.3 | 29.9 | 20.07 ± 0.05 | 20.49 ± 0.09 | 20.7 ± 0.1 |
Table B6. LCO Optical Photometry (AB Mag)
REM data reduction was performed with the REM reduction pipeline. After bias subtraction, nonuniformities were corrected using a normalized flat-field frame processed with tools from the Swift Reduction Package (SRP).8 NIR data were sky-subtracted using the median of individual frames. Frame registration was performed using the Python-based software Astroalign (Beroiz et al. [11]), and astrometric solutions were derived against Gaia DR3 stars (Gaia Collaboration et al. [41]). Aperture photometry was performed, calibrating against Pan-STARRS DR2 sources (PS1; Flewelling [37]). Upper limits on the NIR photometry were derived using calibration against 2MASS stars (2MASS; Skrutskie et al. [130]). REM photometry (MW extinction corrected) is listed in Table B7.
| UTC Date | MJD | Phasea | J | H | |||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) |
| 2024-10-02 | 60585.0 | 6.7 | 16.35 0.04 | 16.63 0.04 | 17.02 0.07 | b | b |
| 2024-10-03 | 60586.0 | 7.7 | 16.60 0.03 | 16.94 0.03 | 17.19 0.06 | b | |
| 2024-10-12 | 60595.0 | 16.7 | b |
Table B7. REM Photometry (AB Mag)
Flamingos-2 images were reduced with standard recipes in DRAGONS (Labrie et al. [70]). Aperture photometry was performed with photutils and flux calibration was done using zero-points derived from 2MASS stars. Gemini photometry (MW extinction corrected) is listed in Table B8.
| UTC Date | MJD | Phasea | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-10-05 | 60588.3 | 10.0 | 18.79 0.04 | 19.21 0.06 | |
| 2024-10-16 | 60599.2 | 20.9 | 20.47 0.08 | ||
| 2024-10-17 | 60600.2 | 21.9 | 20.6 0.1 | ||
| 2024-10-25 | 60608.3 | 30.0 | 21.2 0.2 | 21.4 0.1 | 21.0 0.2 |
Table B8. Gemini NIR Photometry AB Mag
Thacher images were processed using standard reduction procedures using photpipe (Rest et al. [114]). All images were calibrated using flat-field and bias frames from the same night and instrumental configuration, and astrometrically calibrated to Gaia DR3 calibrators. We transformed each image to a regular image coordinate frame with SWarp (Bertin [12]), and then performed point-spread-function (PSF) photometry using DoPhot (Schechter et al. [124]). Finally, we photometrically calibrated photometry from each field using Pan-STARRS DR2 sources. Thacher photometry (MW extinction corrected) is listed in Table B9.
| UTC Date | MJD | Phasea | ||||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) |
| 2024-10-04 | 60587.3 | 9.0 | 16.77 0.02 | 17.16 0.02 | 17.57 0.04 | 17.57 0.09 |
| 2024-10-05 | 60588.3 | 10.0 | 17.07 0.02 | 17.36 0.02 | 17.68 0.03 | 17.74 0.08 |
| 2024-10-11 | 60594.2 | 15.9 | 18.4 0.1 | |||
| 2024-10-13 | 60596.2 | 17.9 | 18.9 0.1 | 18.95 0.08 | 19.5 0.2 |
Table B9. Thacher Optical Photometry (AB Mag)
All photometric observations are presented in Figure 1.

Figure 1. UVOIR light curve of AT 2024wpp corrected for Galactic extinction. Offsets are applied for clarity. Pink horizontal line: pre-transient GALEX NUV emission at the location of the transient, marking the level of UV emission from the host galaxy. At d, the Swift UV photometry is dominated by the host galaxy flux. In § 2.1, we use the GALEX NUV observation to subtract the host galaxy contribution from the Swift photometry. Magnitudes are expressed in the AB system (Oke & Gunn [94]).
Optical and NIR Spectroscopy
To estimate our , we linearly extrapolate the rise rate in flux between the first ZTF -band marginal detection and the subsequent detection (Ho et al. 2024).
We present 16 optical spectra of AT 2024wpp observed 4–63 d from explosion in Figure 2. We list these spectra in Table B10 and overview reduction details below.

Figure 2. Left: Collated AT 2024wpp optical spectral series spanning +4.1 to +63.0 days from (observed frame). Spectra are plotted in the rest frame and are binned for visual clarity. For comparison, coeval optical spectra of the only other well-sampled LFBOTs, AT 2018cow [78] and CSS161010 [46], are plotted in the middle and right panels respectively and identified by the observed-frame epoch of observation. We note that the +4.1 d AT 2024wpp spectrum has an unreliable spectral slope.
| UTC Date | MJD | Phase | Telescope | Instrument | Grating (Blue & Red) | Exposure Time (s; Blue / Red) |
| (1) | (2) | (3) | (4) | (5) | (6) | (7) |
| 2024-09-29 | 60582.4 | 4.1 | Shane | Kast | 600 / 4310 & 600 / 7500 | 2460 / 2400 |
| 2024-10-01 | 60584.5 | 6.2 | Shane | Kast | 452 / 3306 & 600 / 7500 | 2460 / 2400 |
| 2024-10-01 | 60584.9 | 6.6 | SALT | RSS | PG0900 / 5100 & PG0900 / 5700 | 1200 / 1200 |
| 2024-10-03 | 60586.4 | 8.1 | Shane | Kast | 452 / 3306 & 300 / 7500 | 1870 / 1800 |
| 2024-10-04 | 60586.5 | 9.1 | Shane | Kast | 600 / 4310 & 300 / 7500 | 1835 / 1800 |
| 2024-10-05 | 60588.4 | 10.1 | Shane | Kast | 600 / 4310 & 300 / 7500 | 1530 / 1500 |
| 2024-10-05 | 60588.5 | 10.2 | Keck I | LRIS | 600 / 4000 & 400 / 8500 | 600 / 600 |
| 2024-10-07 | 60590.4 | 12.1 | Keck I | LRIS | 400 / 3400 & 400 / 8500 | 300 / 300 |
| 2024-10-10 | 60593.3 | 15.0 | DeVeny | LDT | 300 / 5800 | 1200 |
| 2024-10-11 | 60594.4 | 16.1 | Shane | Kast | 600 / 4310 & 300 / 7500 | 10980 / 10800 |
| 2024-10-12 | 60595.4 | 17.1 | Shane | Kast | 452 / 3306 & 300 / 7500 | 3090 / 3000 |
| 2024-10-24 | 60607.4 | 29.0 | Shane | Kast | 452 / 3306 & 300 / 7500 | 4290 / 4200 |
| 2024-10-25 | 60608.9 | 30.6 | SALT | RSS | PG0900 / 5100 & PG0900 / 5700 | 1200 / 1200 |
| 2024-10-30 | 60613.4 | 35.1 | Keck I | LRIS | 600 / 4000 & 400 / 8500 | 2400 / 2400 |
| 2024-11-08 | 60622.4 | 44.1 | Keck I | LRIS | 600 / 4000 & 400 / 8500 | 4500 / 4500 |
| 2024-11-27 | 60641.3 | 63.0 | Keck I | LRIS | 600 / 4000 & 400 / 8500 | 5400 / 5250 |
Table B10. Table B10. Optical Spectroscopy. Relative to (MJD 60578.3).
We obtained seven optical spectra with the Kast double spectrograph (Miller [89]) mounted on the Shane 3 m telescope with a 2.0″-wide slit. Three of these Kast spectra were reduced using the UCSC Spectral Pipeline9 (Siebert et al. [127]), a custom data-reduction pipeline based on procedures outlined by Foley et al. [38], Silverman et al. [128], and references therein, while the other Kast spectra were reduced in an equivalent manner. The two-dimensional (2D) spectra were bias-corrected, flat-field corrected, adjusted for varying gains across different chips and amplifiers, and trimmed. One-dimensional spectra were extracted using the optimal algorithm (Horne 1986). The spectra were wavelength-calibrated using internal comparison-lamp spectra with linear shifts applied by cross-correlating the observed night-sky lines in each spectrum to a master night-sky spectrum. Flux calibration and telluric correction were performed using standard stars at a similar airmass to that of the science exposures. We combine the sides by scaling one spectrum to match the flux of the other in the overlap region and use their error spectra to correctly weight the spectra when combining. More details of this process are discussed elsewhere (Foley et al. [38]; Silverman et al. [128]; Siebert et al. [127]). The +4.1 d Kast spectrum was obtained at airmass 1.7 with the slit oriented 20–30 deg away from the parallactic angle (Filippenko [35]), so this spectrum experienced enhanced loss of blue light, making the blue spectral slope unreliable.
We also obtained five optical spectra with LRIS (Oke et al. [95]) mounted on the Keck I 10 m telescope. LRIS spectra were reduced and calibrated similarly to the Kast spectra. Low-order polynomial fits to calibration-lamp spectra were used to establish the wavelength scale, and small adjustments derived from night-sky lines in the object frames were applied. The +12.1 d LRIS spectrum was reduced in an equivalent manner with LPipe (Perley [99]). LRIS is equipped with an atmospheric dispersion corrector, thereby precluding differential slit losses.
We obtained two optical spectra of AT 2024wpp with the Southern African Large Telescope (SALT) Robert Stobie Spectrograph (RSS; Smith et al. [132]). The first observation was taken on 2024 Oct. 10, and the second on 2024 Oct. 25. We used a 1.5″-wide slit and the PG0900 grating in two tilted positions to cover the blue part of the spectrum without detector chip gaps. The data were reduced using RUSALT, a custom pipeline based on PySALT (Crawford et al. [27]) which uses standard Pyraf (Science Software Branch at STScI 2012) spectral reduction routines such as wavelength and relative flux calibration, 1D extraction, and the removal of cosmic rays and telluric absorption.
We obtained an optical spectrum of AT 2024wpp using the DeVeny optical spectrograph mounted on the 4.3 m Lowell Discovery Telescope (LDT) on 2024-10-10 (PI E. Hammerstein). The spectrum was reduced using PypeIt [107 b] and standard optical spectroscopic reduction techniques, including bias subtraction, flat-fielding, flux calibration, coaddition, and telluric correction. Optical spectra are presented in Figure 2 and Table B10.
We present a total of four epochs of NIR spectroscopy of AT 2024wpp in Figure 3. These spectra are listed in Table B11 and we overview reduction details below.

Figure 3. Left: AT 2024wpp NIR spectral series from +10.0 d to +24.2 d after . Spectra are plotted in the rest frame and are binned and scaled for clarity. For comparison, a +16.6 d spectrum of AT 2018cow ([78]), the only other LFBOT with NIR spectra, is plotted. In contrast to the AT 2018cow spectrum, the AT 2024wpp spectra show no signs of He feature development by day 24. Right: Zoom-in on the 1.08 m He I feature.
| UTC Date | MJD | Phase | Telescope | Instrument | Filter | Exposure Time (s; / ) |
| (1) | (2) | (3) | (4) | (5) | (6) | (7) |
| 2024-10-05 | 60588.3 | 10.0 | Gemini | F2 | 840 / 840 | |
| 2024-10-16 | 60599.2 | 20.9 | Gemini | F2 | 600 | |
| 2024-10-17 | 60600.2 | 21.9 | Gemini | F2 | 960 / 2040 | |
| 2024-10-19 | 60602.5 | 24.2 | Keck II | NIRES | 2200 |
Table B11. Table B11. NIR Spectroscopy. Relative to (MJD 60578.3).
Three epochs of and two epochs of NIR spectra of AT 2024wpp were obtained with the Flamingos-2 instrument [32, 31] mounted on the Gemini-South Telescope (PI N. LeBaron). The additional spectrum was obtained due to technical issues preventing the full spectroscopy sequence from being obtained on 2024 October 16. The spectra were reduced with PypeIt, which performed flat-fielding, background subtraction, and source detection and extraction. The science spectra were then flux-calibrated, coadded, and corrected for telluric absorption, using the A0 V star HIP12858 which was observed directly after AT 2024wpp.
We also observed AT 2024wpp with the Near-InfraRed Echellette Spectrometer [159 NIRES] on the Keck II 10 m telescope on 2024 October 20 as part of the Keck Infrared Transient Survey (KITS; [144]). The observations were performed with two sets of the ABBA dithering pattern to sample the sky background, with a total exposure time of 2200 s. The A0 V star HIP14627 was observed immediately after the LFBOT to provide flux and telluric calibration. We reduced the data using PypeIt following the procedure outlined by Tinyanont et al. [144].
Bolometric Luminosity and inferred properties
Similar to AT 2018cow, at d the UV to optical radiation from AT 2024wpp is dominated by a blackbody spectrum. The extremely blue colors and color evolution of AT 2024wpp impose non-negligible deviations from the standard UVOT count-to-flux conversion factors. We account for this effect self-consistently in our blackbody fits by following the prescriptions by Brown et al. [17] — that is, we iteratively recalibrate the fluxes with the input blackbody temperature until the input and output temperature agree to within uncertainties, as done for AT 2018cow (Margutti et al. [78]). We find that with a peak bolometric luminosity erg s and a rise time of d (estimates in agreement with Pursiainen et al. [110]), AT 2024wpp is the most luminous known FBOT (Figure 4). Reaching an absolute UV magnitude of , AT 2024wpp was times more UV-luminous at peak than the prototypical event AT 2018cow.

Figure 4. AT 2024wpp is the most luminous LFBOT discovered to date. Panel A: AT 2024wpp in the phase space of peak bolometric luminosity vs. rise time (rest frame) for FBOTs and other transients. Colored (grayscale) star symbols represent LFBOTs (likely LFBOTs). References: AT 2018cow ([78]; [100]), CSS 161010 ([46]), AT 2018lug (Ho et al. 2020), AT 2020xnd ([101]), AT 2020mrf ([161]), Dougie ([155]), AT 2024puz ([134]), FBOTs ([30]; [109]; [4]), Type Ibc SNe ([142]; [97]; [149]; [34]; [116]; [150]; [90]; [59]; [164]; [82, 83]; [136]; [103]), SLSNe ([112]; [62]), Type IIP SNe ([48]), Type IIn SNe ([68]; [76]), Type IIL SNe ([2]). We calculate peak pseudobolometric luminosities of LFBOTs AT 2018lug, AT 2020xnd, and AT 2020mrf using their peak -band magnitudes (i.e., ). For FBOTs, SLSNe, and some SNe Ib/c, we similarly plot pseudobolometric luminosities. Panel B: Comparison of the three best-sampled LFBOTs in the UV (extinction-corrected, host-subtracted absolute magnitudes). For AT 2023fhn, we report the HST results from Chrimes et al. (2024a) for aperture photometry performed using a 0.4″ annulus background and an extinction-corrected Swift observation (see Appendix § 11 for reduction details). Swift-UVOT observations of AT 2024wpp captured the rise of a LFBOT and the evolution of a LFBOT at d for the first time at UV wavelengths. Panel C: AT 2024wpp is times more UV luminous than the prototypical event AT 2018cow at peak, and it is the most UV-luminous FBOT discovered to date.
We show the best-fitting blackbody parameters (temperature and radius ) in Figure 5. AT 2024wpp displays a high temperature ( K) in the first week of evolution and maintains K until the end of our monitoring, again in strict similarity with AT 2018cow, but in stark contrast with SNe (see, e.g., Dessart et al. [29]). Our inferred temperatures are higher around peak than those presented by Pursiainen et al. [110] which could be attributed to our iterative recalibration of the UV fluxes as described previously. Without this correction, we obtained similar temperatures to Pursiainen et al. [110] and our fits settle at K consistent with their analysis at epochs at which the recalibration is less impactful. We note that a “lack of cooling with time” is also a hallmark observational feature of TDEs (van Velzen et al. [152]). The initial blackbody radius of AT 2024wpp is cm. This radius shows limited increase in the first few days before later decreasing monotonically with time, again in contrast with ordinary SNe where the photospheric radius typically shows a linear increase with time during the first few weeks (Dessart et al. [29]). This evolution implies an initial average blackbody “expansion velocity” (defined as ) as high as , decreasing to km s at d. We note that the initial high expansion velocities are similar to those inferred from radio modeling of the blast wave in Paper II, by analogy to AT 2018cow. This, in addition to the more luminous AT 2024wpp having slightly higher velocities than AT 2018cow, points to a connection between LFBOT optical and radio emission components. We also note that blueshifted spectral features with km s appear in the time period d (Figure 6), consistent with the idea that the recession of the blackbody radius inward revealed slower material in the LFBOT. The velocity and time of appearance of the spectral features associated with slowly moving material makes it consistent with ejecta launched at .

Figure 5. Temporal evolution of the best-fitting blackbody temperature , radius , bolometric luminosity , and blackbody expansion velocity of AT 2024wpp (shades of blue) compared to AT 2018cow (red) from Margutti et al. [78]. Dark (light) blue filled points: results from the Swift (Swift+LCO+Gemini) photometry. Open circles assume the color extrapolation presented in Figure 13 for and between days +2 and +7 from . AT 2024wpp reaches K (potentially as high as K), and similarly to AT 2018cow, the plateaus at late times around K (horizontal, dashed black line in the upper panel). Yellow and orange shaded areas indicate the time of emergence of spectroscopic features in AT 2018cow and AT 2024wpp, respectively. The horizontal, gray dashed-dotted line marks a velocity of km s, which corresponds to the observed blueshift velocity of spectroscopic features that emerge between +16 d and +30 d (see Figure 2).

Figure 13. Color evolution of AT 2024wpp. The black dashed lines are extrapolations of the and colors to the beginning of the Swift photometry on day +2, which were used to derive the blackbody temperature and radius fits presented in Figure 5.

Figure 6. By +35 d, AT 2024wpp shows the emergence of clear H and He features blueshifted by km s (dashed black line). The FWHM values of the blueshifted features stay consistently near km s over the final three epochs. A blend of narrow host galaxy emission and a slightly broader spectral feature base from AT 2024wpp is also evident at km s, especially for H and He I. We do not identify a He I feature in the +63 d spectrum, and thus omit that wavelength region for visual clarity.
While the overall UV-to-NIR bolometric emission is well fit by a blackbody continuum, we find evidence for an excess of NIR emission at d, but no evidence for a NIR excess from our broad-band photometry at day 10.3. § 6 discusses the observational properties of the NIR excess, its connections with a similar excess reported for AT 2018cow, and potential scenarios that can explain our observations.
We end with a few considerations. First, we derive an order-of-magnitude estimate of the ejecta mass at peak brightness, under the assumption that the rise time reflects the diffusion time of radiation from a centrally located source within ejecta expanding with typical velocity . Following, for example, Margutti et al. [78],
where is an order-of-magnitude estimate of the opacity,10 and we have adopted an ejecta velocity of as indicated by our blackbody fits in Figure 5 (for , ). The implied corresponding kinetic energy of the optically emitting material is large: erg (compared to erg inferred for AT 2018cow; Margutti et al. [78]), effectively ruling out ordinary stellar explosions. The estimated for AT 2024wpp is larger than that inferred for AT 2018cow with the same approach ( from Margutti et al. [78]), consistent with the longer rise time to peak, but overall similar blackbody initial expansion velocity. We note that Eq. (1) is an upper limit as (see example in Metzger [84]). Under other methods and assumptions (e.g., following Roth et al. [120]; Matsumoto & Piran [80]), we find .
Post peak, the UVOIR bolometric light curve decays as , steeper than the evolution of AT 2018cow [100, 78] for which (Figure 5). Defining the “engine luminosity” as (where is the soft X-ray luminosity integrated in the range 0.3–10 keV; is a relevant quantity if the thermal UVOIR emission and the soft X-rays are manifestation of the same physical component; see Margutti et al. [78]), and using the X-ray results from Paper II, we find a similar temporal evolution at d, again steeper than in AT 2018cow, for which in this time interval (Margutti et al. [78], their Figure 9). However, by analogy with AT 2018cow, we find that optical spectroscopic features emerge in AT 2024wpp when .

Figure 9. Ratio of the soft (0.3–10 keV) X-ray luminosity () to (shades of orange) and (shades of blue; see § 6) for AT 2024wpp (circles) and AT 2018cow (stars). is calculated from the blackbody fits (see Figure 5). The shaded yellow (orange) area marks the time of emergence of clear spectral features with widths of a few 1000 km s in AT 2018cow (AT 2024wpp). Interestingly, for both events this happens for . This plot also shows that constant with time for AT 2018cow, and that the parameters of AT 2024wpp are consistent with the same value. AT 2018cow data from Margutti et al. [78] and AT 2024wpp data from Paper II.
The total radiated energy by each emission component is listed in Table 1. From this table we note that during the first d, AT 2024wpp radiated erg, a value that is only matched by the most luminous and long-lasting stellar explosions such as superluminous SNe (SLSNe; Quimby et al. [112]), and that rules out ordinary SNe for which the kinetic energy is erg. As a comparison, AT 2018cow radiated erg during the first 60 days of evolution (Margutti et al. [78], their Table 1).
Table 1. Energy radiated by AT 2024wpp in the time interval d.
A persistent, mostly featureless, optical-to-NIR thermal continuum
A distinct observational trait of LFBOTs is the combination of an almost completely featureless optical-to-NIR spectrum with a thermal continuum over a long timescale of weeks after first light. The prominently thermal continuum indicates an optically thick environment, and its persistence with time indicates that this environment is maintained over timescales of weeks. This combination can be obtained with either (i) a large ejecta mass or (ii) slowly expanding ejecta as we show below. For ejecta with mass , maximum velocity , opacity , in homologous expansion, the optical depth is
where we have assumed a constant density profile in radius, and a minimum ejecta velocity . The optically thick condition () up to d either requires fast-moving heavy ejecta with and , or light ejecta with and km s. A large ejecta mass would violate the constraints from the rapid rise time of AT 2024wpp, which indicates ,11 while the low maximum expansion velocities are inconsistent with the inferred (Figure 5).12 Another way to put this is that ejecta mass with expanding at km s would be optically thin by 45 days, producing optical spectra rich with well-defined spectral features (as in SNe) and thus violating our observations of AT 2024wpp. From another perspective, if and , then we would expect an optically thin spectrum after 1–2 weeks. A solution to this problem is the continuous deposition of ejecta mass similar to a wind (as opposed to one episode of ejection, like in an SN), which will keep the optical
depth large even if matter is expanding fast and diluting, and/or multiple outflow components with different velocities dominating the detected emission at different epochs. At the same time, the persistently featureless spectra can be the (combined) result of three main physical scenarios. (i) A steep ejecta density profile above the photosphere, which implies a very small line-forming region, such that the line flux would be negligible and very hard to detect against the bright, thermal continuum. (ii) Extremely large expansion velocities () that lead to extreme Doppler broadening and line smearing. (iii) Extreme ionization of the ejecta such that recombination is prevented. Option (i) is the main factor leading to the blue and featureless spectra of Type IIn SNe at very early times. However, in the absence of a central energy source, scenario (i) would lead to the development of strong spectral lines as the ejecta expand and the photosphere recedes in mass coordinates (as observed in SNe), which are not observed in LFBOTs. Interestingly, high ionization has been invoked in the context of TDEs as a way to depress line formation (e.g., [45, 120] and references therein) and, given the observational similarities between TDEs and LFBOTs, might play a role in LBOTs as well.
In the following we thus consider a framework with continuous energy deposition, a luminous central energy source that overionizes the ejecta, combined with extreme Doppler broadening and multiple outflow components as key physical ingredients to explain the observed phenomenology. A similar model was proposed for AT 2018cow ([78]), and we speculate on the astrophysical implications in §7. The viability of this model will be quantitatively explored in detail by Aspegren et al., (in prep.) with non-local thermodynamic equilibrium (NLTE) numerical simulations with Sedona (Kasen et al. [66]). In this framework, by , the “engine” has deposited of ejecta and the optical/UV emission is a combination of reprocessing of X-rays from the central source and thermalization of the kinetic energy of the outflow (e.g., Metzger [84]; Tsuna & Lu [146]).
The emergence and properties of optical spectral features
Delayed appearance of spectral features
Similar to AT 2018cow ([78, 84, 104, 20, 18]), we hypothesize that around the optical peak brightness, the UV-optical emission is dominated by partial reprocessing of the highly variable, inner X-ray source by fast polar
outflows (i.e., the external shock interaction is subdominant, as supported by the coupled evolution, similar luminosities at late times, and highly variable nonthermal X-ray emission). In this scenario, the temporal evolution of in Figure 9 directly depends on the reprocessing efficiency of the outflow, and hence on its density, temperature, and ionization state (with lower density, higher ionization material having a lower reprocessing efficiency). Figure 9 shows that increases from at optical peak, to at the time of emergence of clear spectral features with width of a few 1000 km s at d (Figure 11). Interestingly, a similar pattern is followed by AT 2018cow; however, AT 2018cow has consistently larger values and reaches at an earlier stage (with related earlier appearance of the spectral features). This phenomenology is consistent with the observed longer rise time and larger mass of the polar outflow that we inferred for AT 2024wpp (§ 4) compared to AT 2018cow.

Figure 11. Evolution of the FWHM (top panel), velocity offset (middle panel; i.e., blue or redshift of line peak from the rest wavelength), and line equivalent width (EW; bottom panel) for the H (pink), He I (gold), and He II (green) emission lines and associated blueshifted components of AT 2024wpp (outlined stars). AT 2024wpp exhibits unique spectral feature evolution compared to LFBOTs AT 2018cow (non-outlined stars) and CSS161010 (squares), as well as to TDEs AT 2020wey (upward oriented triangles denote the spectral feature near the rest wavelength and hexagons denote blueshifted components attributed to H by Charalampopoulos et al. [19]), AT 2018hyz (circles; Short et al. [126]), and AT 2022dbl (downward oriented triangles; Guo et al., in prep.). Especially note the slight blueshift in time of the spectral features of AT 2024wpp.
An increasing ratio with time is expected as a result of (i) the expansion of the polar outflow, which leads to lower densities, and/or (ii) increasing ionization of the ejecta (Metzger et al. [87]; Tsuna & Lu [146]). Both factors are likely at play and lead to a decrease of the effective opacity with time (as shown in Figure 10), thus allowing inner regions to be revealed, while at the same time reducing the effects of line smearing due to photon scattering. The latter effect creates line profiles with broad scattering wings and might make the emission lines effectively undetectable against the continuum at times of larger optical depths, as proposed by Tsuna & Lu [146]. The blackbody radius evolution paints a similar picture. At early times ( d) we find evidence for an expanding blackbody radius13 (Figure 5), indicating a brief period of time during which the polar outflow can carry out the photosphere with an inferred velocity of 0.2–0.3. This brief phase is absent in the observations of AT 2018cow, again consistent with the smaller mass of the polar outflow in this event. At d, the inferred radius of the blackbody that best fits the UV-optical emission monotonically decreases with time. The recession of the optical photosphere allows slower moving ejecta components to be revealed and line emission to emerge. In line with this argument, at the time of emergence of spectral features, the H+He line-forming region of AT 2024wpp is roughly at a radius , under the assumption that the slower moving ejecta was launched at . We conclude that the line emission in AT 2024wpp is consistent with originating from an inner region of the ejecta with lower expansion velocities ( vs. 0.2–0.3) that is revealed only at later times because of optical-depth-related effects (e.g., Figure 10).

Figure 10. Assuming that the observed is purely due to radiative processing of X-rays (Metzger [84]) occurring within (an arbitrary) 50% of the solid angle (parameterized by ; in the other half, we assume all X-rays are reprocessed), we calculate the associated for AT 2024wpp (circles) and AT 2018cow (stars) over time and compare to the time of emergence of spectral features (vertical dashed lines; same as Figure 9) for each object. The gray dashed line represents the canonical scaling () for radiation escaping a medium expanding at constant velocity. We find that AT 2024wpp maintains a higher for longer compared to AT 2018cow. This is consistent with the features of AT 2024wpp emerging at a later epoch and with the larger inferred (§ 3).
Interestingly, we do not observe a continuum of outflow velocities; rather, in addition to the mildly relativistic outflows with , our spectra indicate only two components centered at 6500 km s and 0 km s with similar values of the full width at half-maximum intensity (FWHM) few 1000 km s. This peculiar dual-component profile where the FWHM is less than the blueshift of the centroid is observed for both the H and He features. Thus, the line-forming regions of both elements (which are likely distinct; see, e.g., Roth et al. [120]) share similar physical conditions and kinematics. Line formation in an outflowing medium that is dominated by electron scattering has been demonstrated to lead to blueshifted line profiles (e.g., see models for TDEs such as Roth & Kasen [119]). However, for a homogenously expanding outflow, this model leads to a blueshifted component with a profile width that is commensurate with the displacement of the line centroid together with a prominent red wing (e.g., Figure 6 of Roth & Kasen [119]), which contrasts with our observations of AT 2024wpp. We thus consider it likely that the line profiles of Figure 6–Figure 7 indicate a deviation from spherical symmetry of the emitting region.14 This is not necessarily inconsistent with the low polarization of AT 2024wpp measured between 6–14 d (Pursiainen et al. [110]) as the weak spectral features indicating asphericity do not appear until at least d. Thus, AT 2024wpp may be more spherical at early times before the photosphere recedes and inner ejecta structure is revealed. Similar to AT 2018cow, these observations are consistent with a model where the H+He emission originates from lower-velocity equatorial material, with polar outflows carrying the mildly relativistic ejecta (Margutti et al. [78], their Fig. 12; Paper II, Fig. 14). These conditions are naturally realized in super-Eddington accretion disks (e.g., Sadowski & Narayan [122]; Sądowski & Narayan [129]). Interestingly, radiation-hydrodynamic simulations of super-Eddington accretion flows around BHs by

Figure 7. Evolution of the Hα line in AT 2024wpp (left) and CSS161010 (right; Gutiérrez et al. [46]), the two LFBOTs with evidence for blueshifted emission. The km s component in CSS161010’s spectrum is narrow host galaxy emission. In AT 2024wpp, the component is broader (FWHM km s, similar to the blueshifted component; see Figure 11); thus, we identify it as a transient emission feature.
Yoshioka et al. [165] found evidence for two components of outflows, with a faster, lighter component having velocity ejected along the polar direction (i.e., within ), and slower, denser outflows having typical velocities of a few at larger angles (their Fig. 4). The presence and properties of these two outflow components are consistent with the observations of AT 2024wpp and LFBOTs that have detailed spectroscopic sequences.
In Figure 11, we compare the evolution of the FWHM, velocity offset from line center, and equivalent width (EW) of AT 2024wpp’s spectral features to other transients. To date, CSS161010 is the only other FBOT to show blueshifted spectral features; these features are up to a factor of 10 broader than those observed in AT 2024wpp and are blueshifted by , other than the final epoch at 40 d which is blueshifted by , similar to AT 2024wpp’s features. Neither AT 2024wpp’s nor CSS161010’s line profiles show the red wing expected for an electron-scattering dominated outflowing medium ([119]). A few TDEs show blueshifted spectral features: AT 2020wey possibly has blueshifted secondary H peaks in several optical spectra ([19]), though the spectra have low S/N; PTF09ge ([3]), ASASSN-15oi ([58]), and SDSS J0748 ([158]) all exhibit blueshifted He II in at least one epoch; and ASASSN-14ae ([57]) and AT 2022dbl (Guo et al., in prep.) both show a blueshift of H in their earliest spectrum. Many of these TDE features can be at least partly explained by electron scattering ([119]), potentially alongside Bowen fluorescence feature blends for the He II profiles (see [43, 15]). We also note that TDE features tend to have much larger EWs than those measured for AT 2024wpp.
Line Luminosity
Another peculiarity of the spectral features of AT 2024wpp is their low line luminosity and EW. Peaking at , the observed line luminosity is of the bolometric luminosity at the same time. We follow the reasoning by Tsuna & Lu [146] and consider a photoionization origin for the detected lines. For comparison, shock ionization of of material would contribute at most in H line assuming 100% efficiency, and we observed . We thus consider shock ionization less likely. The amount of ionized mass () in the slow-moving ejecta can either be the total mass (density-bounded regime) or lower (ionization-bounded regime; e.g., [96]).
In the ionization-bounded regime, the H line luminosity is (Tsuna & Lu [146])
where is the photoionization rate; is the ionizing luminosity; is the fraction of ionizing luminosity intercepted by the slow ejecta; is the energy “cost” for each hydrogen ionization, which depends on the details of photoionization and recombination of each species in the ejecta (here we use following Tsuna & Lu [146]); is the recombination coefficient and is the H recombination coefficient; and is the H photon energy. For a typical recombination branching fraction of , Eq. (3) leads to the following H production efficiency
The significantly lower ratio observed, , may be due to a significantly lower (i.e., geometric effects), a small fraction of being ionizing photons, a H-depleted slow outflow (e.g., a tidally disrupted WR star), or that this is instead in the density-bounded regime.
The maximum ionized mass is given by Eq. 49 from Tsuna & Lu [146],
where we used a fiducial value of for the radius relevant to the slower ejecta of AT 2024wpp.
If the actual mass of the ionized H emitting gas, , is much lower than , we would be in the density-bounded regime and hence the line production efficiency will be lower than that in the ionization-bounded regime () by a factor of . In the super-Eddington disk outflow picture, the majority of the mass is carried by the slowest outflow that originates from the outer disk. For an outer disk radius of and compact object mass , we expect the velocity of the slowest outflow to be . The outflow near is launched from smaller radii near , and hence the outflow mass near velocity is roughly given by , where is the disk mass and we have adopted a radial power-law scaling for the accretion rate in a super-Eddington disk . For (as adopted by Tsuna & Lu [146]), we expect
where we have adopted fiducial values of and outer radius as the disk loses mass and viscously spreads over time (assuming that the line emission comes from the freshly launched slow outflow). We find that the system may indeed be in the density-bounded regime, but this only reduces by line production efficiency by an order of magnitude to about if . Geometric effects or a hydrogen-poor outflow may further reduce the line production efficiency to the observed value.
To conclude and summarize, the structure of the spectral features of AT 2024wpp points to an ejecta geometry with clear deviation from spherical symmetry involving multiple outflows including a fast, collimated component as well as a slower component. Outflows from disks accreting at super-Eddington rates are a plausible formation scenario of the observed dual line-profile structure (see, e.g., Yoshioka et al. [165]).
A NIR excess of emission
The appearance of a NIR excess of emission at early times is a hallmark observational feature of LFBOTs15. We first summarize the key observational facts, and then consider two interpretations: reprocessed radiation from a pre-existing dust shell (i.e., a dust echo in § 6.1) and frequency-dependent opacity effects due to free-free processes in the transient’s outflows or pre-existing material (§ 6.2).
The NIR observational results are as follows.
We find evidence for a deviation from the blackbody that best fits the UV-optical SED at NIR wavelengths. At , the local power-law slope measured from our photometry in the NIR is with . Following Perley et al. [100] and Chen et al. [21], we fit the overall spectrum with a phenomenological model consisting of a blackbody + power law (), finding (Figure 12).

Figure 12. Top Panel: Blackbody fits to the observed photometry (blue points) at various epochs (observed frame days). Pink points are extrapolated - and -band photometry that assume the and colors shown in Figure 13. Bottom Panel: AT 2024wpp SEDs on the (observed frame) days of its - and -band photometry compared to coeval SEDs of AT 2018cow. We find no evidence of emission in excess of a blackbody fit (blue curves) until day +30, at which time a blackbody plus power-law model (blue dashed curve) is required to fit the SED. The best-fit power law (blue dashed line; ) has . AT 2024wpp is not fit well by the power law ( yellow and green dashed lines) that Perley et al. [100] and Chen et al. [21] used to fit the NIR excess of AT 2018cow. Additionally, the extrapolation of the coeval radio SED (pink curve; from Paper II) cannot explain the observed NIR excess.
The NIR luminosity of AT 2024wpp at (rest frame) determined from (integrated in the range 2300 Å – 2.4 m) is , which is comparable to the power-law luminosity of AT 2018cow at (rest frame) ( over the same wavelength region, using the power-law parameters from Chen et al. [21]).
The NIR “excess” is clearly detected at , but it was not detected in our previous epoch with NIR sampling at day , nor in the final -band epoch (day ). Our Keck NIR spectroscopy at indicates with (especially at wavelengths ; see Figure 3) consistent with the day findings, suggesting that the NIR excess was already emerging at (this aligns with the 20 d NIR excess reported by Pursiainen et al. [110]). At we do not find significant evidence for a departure from a blackbody spectrum in the NIR, and we estimate a limit on the (undetected) NIR excess of . We note that the later detection of a NIR excess in AT 2024wpp (20–30 d) compared with AT 2018cow, which showed a NIR excess within a few days, can be related to the significantly larger UV-optical luminosity of AT 2024wpp.
The ratio of the soft X-ray luminosity (0.3–10 keV) to the NIR power-law luminosity () for AT 2024wpp is consistent with that of AT 2018cow, remaining constant with time at (Figure 9).
As in AT 2018cow (Margutti et al. [78]), the extrapolation of the radio spectrum of AT 2024wpp (from Paper II) to the NIR range significantly underpredicts the NIR flux (Figure 12), even in the absence of any spectral break in between the two wavelength regimes, implying that the NIR excess is not directly connected with the nonthermal radio synchrotron spectrum.
Dust Echo
Following Metzger & Perley [86] and Tuna et al. [147], we investigate whether the NIR excess can be explained by reprocessing of early UV emission by a pre-existing, opaque, dusty medium. Metzger & Perley [86] postulate that LFBOT progenitors may be surrounded by a dense and cool CSM at large radii () where dust can form before the LFBOT. This “dusty outer shell” would initially be opaque to UV photons until reaching sublimation temperatures (). In this model the absorbed energy is reradiated as a NIR “echo” on a timescale mostly set by geometric time delays. The persistent NIR excess of AT 2018cow, observed during –44 d, was interpreted by Metzger & Perley [86] as a dust echo originating from a medium with density and at (assuming silicate grains and a dust-to-gas ratio ). We note that the assumed scaling was motivated by the findings from the radio modeling. This model is appealing as the derived medium density is not too different from that inferred from the radio modeling of AT 2018cow if large deviations from equipartition are considered (Margutti et al. [78]).
A similarly steep and dense CSM density profile is obtained from the radio modeling of AT 2024wpp (Paper II, their Figure 9), motivating us to explore the dust-echo model for AT 2024wpp. Under the same model assumptions, the maximum duration of a NIR excess of emission is (Metzger & Perley [86], their Eq. 22)
The NIR excess in AT 2024wpp lasts d and thus implies cm, similar to AT 2018cow. As a comparison, the CSM density inferred from the radio modeling of AT 2024wpp in equipartition is cm at cm (see Paper II). Similar to above, this density can only be comparable with the density of the NIR-emitting material derived above if corrections from a large deviation from equipartition are applied.
The predicted NIR luminosity (Eq. 23 of Metzger & Perley [86], here renormalized using the peak bolometric luminosity and rise time of AT 2024wpp) is
The observed erg s thus implies cm, again consistent with the radio-inferred CSM density for large deviations from equipartition. In this scenario, while the NIR and the radio do not belong to the same component of emission, they can nevertheless originate from the same medium.16
Free-Free Opacity Effects in an Extended ``Atmosphere''
Chen & Shen [20] propose that an LFBOT NIR excesses can be related to free-free opacity effects occurring within an extended medium having a shallow density profile above the optical photosphere . In this region at , the absorptive opacity changes systematically with frequency—that is, different frequencies of the continuum spectrum will have different effective thermalization radii, producing a deviation from a single-temperature blackbody spectrum. This is analogous to the process that produces NIR/radio excesses in hot stars surrounded by dense winds (e.g., Wright & Barlow [160]; Crowther [28]), and it has been suggested by Roth et al. [120] to play a major role in shaping the continuum in TDEs. Here we follow Roth et al. [120], Lu & Bonnerot (2020), Chen & Shen [20], and Somalwar et al. [134], and assume that free-free dominates the absorptive opacity (), and that in the extended atmosphere (where is the electron-scattering opacity), such that the effective opacity is (see Rybicki & Lightman [121], Ch. 1). In this treatment the medium is assumed to be effectively optically thick. We generalize the Lu & Bonnerot (2020) analytical model for a power-law density profile of the emitting medium above the optical photosphere of the form . The specific luminosity is , where is the emissivity; the emitting volume is for a frequency-dependent thermalization radius ,
where is the temperature of the medium, is the proton mass, is the atomic number, and () is the mean molecular weight for electrons (ions). The expected spectrum scales as for (Margutti et al. [78], their Eq. 6). We report below the entire expression for completeness:
For , we find the well-known wind-like medium scaling .
The observed at d is broadly consistent with an medium. For this medium, the observed NIR requires for an assumed cm, K, (i.e., for spherical symmetry), and H-dominated composition. The derived density is times the CSM density inferred from the radio modeling in equipartition. Thus, in this scenario, the radio and NIR emission components are unlikely to originate from the same CSM and the NIR originates from extended material above the optically emitting medium. With a density profile the medium is significantly shallower than a wind-like profile that is expected for constant . For an assumed wind velocity (motivated by the “expansion velocity” of the blackbody; see Figure 5), the density above corresponds to an effective mass-loss rate . If maintained over a month timescale, this value implies a total ejecta mass of . For these parameters we calculate
cm at Hz at 30 d, which is a factor of larger than the blackbody radius ( cm). The mass in the region cm at 30 d is , which is similar to the ejecta mass inferred with Eq. (1). We note that it is quantitatively unclear whether very large velocities and the presumably high level of ionization are enough to prevent the detection of prominent lines from this material above the optical photosphere, and we leave the detailed investigation of this aspect to future work.
Chen & Shen [20] find this model can well explain the optical-to-NIR emission in AT 2018cow using a wind-like medium scaling for . They infer at early times ( d), , and at late times, , with . Over the 15 d evolution of AT 2018cow, Chen & Shen [20] estimate the outflow total mass to be . These parameters are similar to our inferences for AT 2024wpp.
We end with two considerations. First, neither the dust-echo nor the free-free opacity effects models provide a natural explanation for for both AT 2018cow and AT 2024wpp, nor for the constancy of this ratio throughout the evolution of AT 2018cow (Figure 9). Observations of a larger sample of LFBOTs that extend to the NIR will clarify if this is a peculiarity of the two events known, or a failure of current models. Interestingly, we note that the LFBOT-like transient AT 2024puz also exhibits a NIR excess that was interpreted in the context of both of these models (Somalwar et al. [134]).
Second, as inferred for AT 2018cow by Margutti et al. [78], for very steep density profiles , Eq. (10) asymptotically converges to . This is not dissimilar from the observed slope of the early optical-UV spectrum of AT 2024wpp at d (), implying that the optical continuum is formed in a medium with a steep density gradient, as in AT 2018cow. This is important, since the steepness of the optical continuum-forming medium is a key physical ingredient that we identified in §4 to obtain featureless spectra. We note that this last inference is independent of the explanation of the NIR excess.
Discussion
Comparison of AT2024wpp with Other Transients
In the previous sections we have compared AT 2024wpp with “classical,” “cow-like” LFBOTs. Here we expand our comparisons to more broadly include classes of transients that share some aspects of LFBOT phenomenology (in particular, fast evolving luminous transients and TDEs).
Fast Evolving Luminous Transients: AT 2024puz (Somalwar et al. [134]) is a peculiar transient with similar properties to both LFBOTs and TDEs (e.g., persistent blue colors, luminous optical emission , featureless spectra, bright and highly variable X-ray emission , NIR excess emission above a blackbody), but the UV-optical light curve evolves on an intermediate timescale (10 d rise time, d evolution timescale; slow for LFBOTs, fast for TDEs). Somalwar et al. [134] interpret this object as a slowly evolving LFBOT. The discovery of it points to a continuum of phenomena between LFBOTs and TDEs, and suggests that future LFBOT searches may benefit from including phenomena that evolve on slightly longer timescales (Somalwar et al. [134]).
Other fast-rising and fading ( d), luminous ( mag) transients such as Dougie (Vinkó et al. [155]), AT 2022adem (Nicholl et al. [92]), and AT 2020bot (Ho et al. 2023a; Nicholl et al. [92]) may also exist within this LFBOT to TDE continuum. Both Dougie and AT 2022adem have hot, blue spectral continua, but while Dougie remains featureless through 30 d, AT 2022adem shows H+He emission beginning from 3 d. These features transition to absorption after 14 d. AT 2020bot may be spectrally different from the former two objects with broad, weak lines at peak brightness that are distinct from traditional SN features and are not obviously identifiable. All of these transients exhibit much faster cooling of their optical-UV emission than typical LFBOTs (especially AT 2020bot) and all occurred in elliptical galaxies with low recent star formation (Nicholl et al. [92]), unlike typical (L)FBOT host galaxies (Ho et al. 2023a). Additionally, Dougie and AT 2022adem do not show the luminous X-ray/radio emission that is characteristic of LFBOTs (AT 2020bot was not observed at X-ray or radio wavelengths).
TDEs: There are clear observational analogies between TDEs and LFBOTs. Both classes of objects are characterized by persistently blue optical light curves (van Velzen et al. [152, 154]; Arcavi et al. [3]), and typically only show signatures of H and He in their spectra (Hammerstein et al. [47]; Yao et al. [162]; van Velzen et al. [154]). The potentially connected subclasses of featureless and jetted TDEs both have persistent featureless optical spectra (Andreoni et al. [1]; Hammerstein et al. [47]; Yao et al. [162]). As discussed in § 4, featurelessness can be attributed to a combination of a steep density profile limiting the size of the line-formation region, large expansion velocities leading to extreme line broadening, and high ionization of the ejecta.
By analogy with TDE literature (e.g., Guillochon et al. [45]; Roth et al. [120]), we lean toward the latter two explanations for the featurelessness of AT 2024wpp and LFBOTs. We posit the presence of a reprocessing envelope (as in some models of TDEs) but remain agnostic about the astrophysical origin (Loeb & Ulmer [73]; Metzger [84]). TDEs are typically considered nuclear transients involving a supermassive BH (SMBH) (van Velzen et al. [153, 154]; Hammerstein et al. [47]; Yao et al. [162]; though recently an off-nuclear SMBH TDE was discovered — see Yao et al. [163]). Most LFBOTs (including AT 2024wpp) are decidedly off-nuclear transients (Chrimes et al. 2024b), thus a TDE-like interpretation likely requires an IMBH or stellar-mass BH (or NS). Along with LFBOTs, TDEs are the only other transients known to have late-time X-ray/UV plateaus (Mummery et al. [91]) as observed for AT 2018cow (Migliori et al. [88]; Chen et al. [21]; Inkenhaag et al. [61]; Sun et al. [138, 139]). For both classes of transients, this late-time emission is attributed to an accretion disk, but as LFBOTs involve much less massive compact objects, their accretion rate is likely (highly) super-Eddington, which is not always true in TDEs. Thus, LFBOTs may allow us to probe objects with much higher accretion rates than typical TDEs.
LFBOT Models
AT 2024wpp radiated an extreme erg over the first d, surpassing AT 2018cow in the same time period, and we thus rule out ordinary neutrino-driven -powered core-collapse SNe as the only power source for LFBOT phenomena. Below, we discuss three main physical models for LFBOTs.
(i) Khatami & Kasen [67] propose that LFBOT UVOIR light curves can be modeled as SNe that explode within dense CSM shells, leading to a shock-breakout flash that produces the initial fast rise to peak emission and a subsequent shock-cooling tail. As the blackbody temperature of AT 2024wpp does not cool beyond K (for rest-frame days; see Figure 5), we note that this pure CSM interaction interpretation would require very long lived, continuous interaction to maintain such temperatures. Additionally, the inferred blackbody expansion velocities of up to imply a compact-object power source with a large enough gravitational well to be able to launch such fast outflows. But instead, if the outflows are interacting with a pre-existing CSM, the inferred velocity () is reduced to a few –. However, more importantly, the CSM interaction model struggles to reproduce the X-ray nonthermal spectrum and rapid variability discussed in Paper II. Thus, we disfavor a pure CSM interaction model for LFBOT phenomena, though we note that CSM interaction could play a role in addition to accretion onto a compact object (e.g., to produce the observed radio emission). We thus consider two alternative models that involve compact-object accretion.
(ii) Following Tsuna & Lu [146], we consider the production of an LFBOT via a stripped-envelope SN (Type Ibc) that produces a compact object with a kick that is fortuitously aligned such that the compact object can disrupt and accrete its main-sequence companion at a super-Eddington rate. The LFBOT is a consequence of the accretion and occurs with some time delay after the SN. Generally, if the compact object is a BH, super-Eddington accretion could provide the erg radiated by AT 2024wpp (an NS falls just short of producing the energetics of AT 2024wpp but could be enough for AT 2018cow; see Tsuna & Lu [146], their Eqs. 16 and 37 and generate LFBOT inferred asymmetric geometry and multicomponent outflows. Tsuna & Lu [146] find that their models are able to reproduce rates consistent with LFBOT observational rates as well as typical LFBOT features including the fast () outflows originating from the super-Eddington accretion winds, spectra that evolve from featureless to presenting weak H and He lines at d with widths of a few km s and small , the evolution of the ratio from to over the same timescale due to X-ray ionization of the ejecta, and the steep radio-inferred CSM density profile at cm likely due to He-star’s mass loss within the last few centuries before explosion. If the CSM is dense enough, it could naturally produce a dust echo emitting the observed NIR excess as discussed in § 6.1, though free-free opacity effects (§ 6.2) could also produce this emission component.
Observationally, the challenge for this model is avoiding the detection of the SN. If there were a Type Ibc SN that occurred just before the LFBOT, the SN would have to be significantly underluminous with a short delay time before the LFBOT in order for the SN to remain undetected. Nothing suggesting the presence of an SN has been detected in an LFBOT thus far. The SN may also dominate the light curve once the FBOT emission fades significantly, though observations of AT 2018cow at 2–4 yr after discovery showed a bright ( erg s), blue (F336W − F555W = −1.3 mag) source interpreted as a remnant accretion disk around a BH ([138, 139, 21]), which could potentially prevent detection of the SN light-curve component. We would also expect typical Type Ibc SN spectral features to be produced (e.g., Ca, O), which have yet to be observed in LFBOTs.
(iii) Metzger [84] model LFBOTs as emission from the tidal disruption of a WR star with a compact-object binary companion (either NS or stellar-mass BH) and subsequent super-Eddington accretion. The optical light curve is produced by some combination of reprocessed X-rays produced by the central accretion disk and shock interaction between the WR ejecta and CSM from prior mass-loss events. Observed X-rays would consist of the fraction that were not reprocessed by the intervening material. This model broadly produces phenomena consistent with AT 2018cow, and thus AT 2024wpp, including a viscous accretion timescale of less than a few days, matching with LFBOT peak timescales; energy budget from super-Eddington accretion of erg; generation of both fast polar () and slow equatorial (few km s) outflows; for an accretion efficiency of (reasonable for super-Eddington accretion onto a magnetar or BH) which is slightly shallower than observed in AT 2024wpp (; see Figure 8) but more consistent with the evolution of AT 2018cow ( [78]); low Ni abundance () in the disk outflows consistent with AT 2018cow light-curve modeling ([100]); rough agreement with the observed optical light curve of AT 2018cow where the early-time emission is reprocessed X-rays and the resulting X-ray luminosity is suppressed due to this absorption causing until at d; and a density of cm combined with a steepening of the density profile from to at cm in the remnant circumbinary disk which is produced by WR mass loss prior to the explosion and is consistent with radio-inferred densities. CSM formed by this mass loss would provide a natural environment for a NIR dust echo to be produced as discussed in § 6.1. Metzger [84] further predict a potential flattening of the light curve at late times ( d) due to the compact-object accretion rate approaching the Eddington limit, which was observed in AT 2018cow ([138, 139, 21]). Assuming AT 2024wpp had similar luminosities and light-curve evolution to AT 2018cow (see Figure 4 of Chen et al. [21]), HST could have observed such behavior up to d.

Figure 8. Soft X-ray (0.3–10 keV; , dark-blue circles), broad-band X-ray (0.3–30 keV; , orange circles), NIR (fitted power-law luminosity in the range 2000–24,000 Å; , yellow circles), and UVOIR bolometric luminosity (, teal circles) evolution of AT 2024wpp in its first 100 days. We also show the “engine luminosity” with dark-red circles. We find that at d, (gray dashed line) and that a similar scaling applies to at d d, while (blue dashed line). At d, there is some indication that the decay of flattens slightly toward the power law. The orange shaded area marks the time of appearance of clear spectral features ( d, Figure 2 and Figure 6). X-ray data from Paper II.
This model predicts an LFBOT continuum where slower evolving transients reach higher luminosities (see Figure 3 of Metzger [84]), as increasing the system mass (i.e., and the WR mass ) can lead to both a longer viscous timescale and peak accretion rate, thus flattening and increasing the peak of the light curve. This continuum is broadly consistent with the properties of AT 2024wpp (and AT 2024puz) compared to other LFBOTs.
*
To conclude this subsection, overall the models that are the most successful in accounting for the panchromatic properties of LFBOTs share a common ingredient of a central engine in the form of a super-Eddington accretion disk around a compact object and invoke shocks between outflows launched by the accretion disk and/or between disk outflows and pre-existing CSM as a way to thermalize some of the energy released by the central engine. At the time of writing, the astrophysical origin and nature of the compact object is an open question.
Summary and Conclusions
We have presented an extensive UVOIR photometric (Figure 1) and spectroscopic (Figure 2, Figure 3) observational campaign for the third LFBOT to be well-sampled in this wavelength range during the time period –97 d. We summarize our findings as follows.
AT 2024wpp is the most luminous LFBOT discovered to date (both at UV wavelengths and bolometrically; see Figure 4), reaching erg s at peak (which is –10 times larger than the prototypical event of this class, AT 2018cow). The UV-optical
spectrum is dominated by a thermal continuum at all times (Figure 2). From our blackbody fits (Figure 5), we infer K and blackbody “expansion velocities” of at peak — slightly larger than (but comparable to) the mildly relativistic expansion of the optical photosphere inferred for AT 2018cow. Similarly to AT 2018cow, AT 2024wpp maintains a high temperature ( K) throughout our monitoring. We infer an initial cm. Unlike ordinary SNe, shows a brief phase of expansion in the first few days before decreasing monotonically. The post-peak bolometric luminosity shows rapid fading .
The rise time of AT 2024wpp is among the longest of known classical LFBOTs (Figure 4). Assuming d reflects the diffusion timescale of radiation from a central source (we note this is an upper limit), we infer an ejecta mass , which is larger than inferred for AT 2018cow, but consistent with the longer rise time of AT 2024wpp to peak but similarly mildly relativistic initial blackbody expansion velocity.
Over the first d, AT 2024wpp radiated erg (Table 1), more than an order of magnitude above that radiated by AT 2018cow in a similar timescale, and a value only matched by the most luminous stellar explosions. The large rules out ordinary neutrino-driven SNe and requires additional sources of energy. Among these, we favor super-Eddington accretion-powered systems harboring a compact object (most likely a BH). The other two LFBOTs with existing spectral sequences (CSS161010, Gutiérrez et al. [46]; AT 2018cow, Margutti et al. [78]; Perley et al. [100]), the spectra of AT 2024wpp are entirely featureless for weeks post discovery (Figure 2). This is a hallmark observational feature of LFBOTs that sets them apart from SNe. Interestingly, this observational trait is also seen in the new class of “featureless TDEs” (Andreoni et al. [1]; Hammerstein et al. [47]; Yao et al. [162]), with which LFBOTs share the presence of a central source of high-energy emission. By analogy with featureless TDEs, we suggest that featureless spectra might result from persistent ionization of the fast-expanding ejecta.
At d, we confidently detect faint (EW Å; Figure 11) spectral features of H and He with two kinematically separate velocity components centered at km s and km s with FWHM km s (Figure 6). A prominently blueshifted component was detected before in CSS 161010 (Gutiérrez et al. [46]) (Figure 7). The line profiles indicate a clear deviation from spherical symmetry. We note that as in AT 2018cow, the spectral features emerge when (Figure 9).
These line profiles imply the presence of multiple outflow components — namely, one that is fast and polar, and another that is slower and equatorial. Super-Eddington accretion disks provide a natural explanation for this structure (Yoshikawa et al. 2024).
While overall the UV-optical SED at each epoch is well fit by a blackbody spectrum, between 20–30 d we measure a NIR excess of emission, with a power-law spectrum at 30 d (Figure 6). The presence of NIR excess emission is similar to AT 2018cow (Perley et al. [100]; Margutti et al. [78]; Chen et al. [21]) and AT 2024puz (Somalwar et al. [134]). The extrapolation of the radio SED of AT 2024wpp to NIR wavelengths significantly underpredicts the observed flux, implying that the NIR is a distinct emission component.
We consider two models to explain the NIR excess: (i) reprocessing of early UV emission by pre-existing dust with density cm at cm (§ 6.1; following Metzger & Perley [86]; Tuna et al. [147]), which is consistent with the radio-inferred density from Paper II ( cm) with large deviation from equipartition; and (ii) free-free scattering occurring in the extended medium above the optical photosphere (§ 6.2; following Chen & Shen [20]; Roth et al. [120]; Lu & Bonnerot 2020; Somalwar et al. [134]) with density profile . Both models are able to produce the observed erg s at the time of appearance (30 d). The free-free model requires a density g cm at cm, which is times the radio-derived CSM density; thus, in this model we would expect the NIR to originate from CSM separate from the radio-emitting region. However, neither model provides a natural explanation for the roughly constant soft X-ray to NIR luminosity ratio of (Figure 9).
While the presence of a compact-object central engine is a feature of LFBOT models that successfully reproduce LFBOT phenomenology across the electromagnetic spectrum, the nature of this object is unknown. Circumstantial evidence such as the extreme radiated energy of AT 2024wpp ( erg) and mildly relativistic velocities inferred in LFBOT radio and optical emission suggest stellar-mass BHs, which would make LFBOTs highly super-Eddington, and thus valuable probes of this accretion regime. Progress relies on increasing the small sample of well-studied objects.
As LFBOTs are extremely UV-luminous transients, future UV missions such as ULTRASAT (Sagiv et al. [123]) and UVEX (Kulkarni et al. [69]) will be instrumental for discovering and characterizing these rare transients out to larger volumes and at earlier times. Tens of LFBOTs per year will be discovered by these surveys. Discovering more LFBOTs pre-peak will also allow better sampling of color evolution from pre- to post-rise, potentially revealing the initial reddened colors indicative of sublimation of dusty CSM predicted by Metzger & Perley [86]. At the same time, on the follow-up side, higher-cadence NIR monitoring coordinated with X-ray observations to later epochs is also needed to understand whether the X-ray/NIR correlation with time observed in AT 2018cow (Figure 5 of Chen et al. [21]) is distinctive to LFBOTs and thus requires a model that connects the two emission components. Mid-IR spectroscopy with JWST would also better constrain the SED peak of the observed NIR excess and simultaneously be sensitive to dust features (e.g., the feature indicating silicate dust composition). We conclude by emphasizing that only two LFBOTs (three if including AT 2024puz) to date have extensive multiwavelength datasets; thus, future observations are required to probe the diversity of this class and put meaningful population-level constraints on the intrinsic nature of these intriguing objects.
Facilities: Swift (XRT and UVOT), Keck, Lick, ATLAS, Supra Solem, REM, Gemini, Thacher, SALT, LDT, GALEX
Software: Astropy (Astropy Collaboration et al. [5, 7, 9]), NumPy (Harris et al. 2020), synphot (STScI Development Team [137]), Matplotlib (Hunter [60]), photutils (Bradley et al. [13]), HOTPANTS (Becker [10]), photpipe (Rest et al. [114]), DRAGONS (Labrie et al. [70]), SWarp (Bertin [12]), DoPhot (Schechter et al. [124]), UCSC Spectral Pipeline (Siebert et al. [127]), LPipe (Perley [99]), PySALT (Crawford et al. [27]), PypeIt (Prochaska et al. [107]), Astroalign (Beroiz et al. [11])
Acknowledgments
Some of the data presented herein were obtained at Keck Observatory, which is a private 501(c)3 nonprofit organization operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration (NASA). The Observatory was made possible by the generous financial support of the W. M. Keck Foundation.
The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the Native Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain.
Some of the LRIS data presented in this work were the result of cooperative data-sharing agreements between the classical and ToO programs of our group with another Keck ToO proposal (Keck 2024B proposal U042; PI: S. Valenti) and classical observers (D. Perley and I. Caiazzo).
Observations used in this work were obtained in part at the international Gemini Observatory, a program of NSF’s NOIR-Lab, which is managed by the Association of Universities for Research in Astronomy (AURA, Inc.) under a cooperative agreement with the U.S. National Science Foundation (NSF) on behalf of the Gemini Observatory partnership: the NSF (United States), National Research Council (Canada), Agencia Nacional de Investigación y Desarrollo (Chile), Ministerio de Ciencia, Tecnología e Innovación (Argentina), Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brazil), and Korea Astronomy and Space Science Institute (Republic of Korea).
A major upgrade of the Kast spectrograph on the Shane 3 m telescope at Lick Observatory, led by Brad Holden, was made possible through gifts from the Heising-Simons Foundation, William and Marina Kast, and the University of California Observatories. Research at Lick Observatory is partially supported by a generous gift from Google.
These results made use of the Lowell Discovery Telescope (LDT) at Lowell Observatory. Lowell is a private, nonprofit institution dedicated to astrophysical research and public appreciation of astronomy and operates the LDT in partnership with Boston University, the University of Maryland, the University of Toledo, Northern Arizona University and Yale University. The upgrade of the DeVeny optical spectrograph has been funded by a generous grant from John and Ginger Giované and by a grant from the Mt. Cuba Astronomical Foundation.
The Southern African Large Telescope (SALT) observations presented here were taken under Rutgers University program 2024-1-MLT-003 (PI: S. W. Jha). Research on astrophysical transients at Rutgers University is supported by NSF grant AST-2407567.
This research has made use of data and software provided by the High Energy Astrophysics Science Archive Research Center (HEASARC), which is a service of the Astrophysics Science Division at NASA/GSFC.
This work has made use of data from the Asteroid Terrestrial-impact Last Alert System (ATLAS) project. The ATLAS project is primarily funded to search for near-Earth objects through NASA grants NN12AR55G, 80NSSC18K0284, and 80NSSC18K1575; byproducts of the NEO search include images and catalogs from the survey area. This work was partially funded by Kepler/K2 grant J1944/80NSSC19K0112 and HST GO-15889, and STFC grants ST/T000198/1 and ST/S006109/1. The ATLAS science products have been made possible through the contributions of the University of Hawaii Institute for Astronomy, the Queen’s University Belfast, the Space Telescope Science Institute, the South African Astronomical Observatory, and The Millennium Institute of Astrophysics (MAS), Chile.
BLAST makes use of the following software packages: AstroPy ([7]), NumPy ((Harris et al. 2020)), GHOST ([40]), PhotUtils ([13]), Astroquery ([44]), HiPS ([33]), DYNESTY ([135]), Prospector ([65]), sedpy ([64]), SVO Filter Profile Service ([117]), Healpy ([167]), Python FSPS ([63]), SBI ([143]), and SBI++ ([157]).
R.M. acknowledges support by the National Science Foundation under award No. AST-2224255, and by NASA under grants 80NSSC22K1587, 80NSSC25K7591 and 80NSSC22K0898. A.V.F.’s research group at U.C. Berkeley acknowledges financial assistance from the Christopher R. Redlich Fund, as well as donations from Gary and Cynthia Bengier, Clark and Sharon Winslow, Alan Eustace and Kathy Kwan, William Draper, Timothy and Melissa Draper, Briggs and Kathleen Wood, Sanford Robertson (W.Z. is a Bengier-Winslow-Eustace Specialist in Astronomy, T.G.B. is a Draper-Wood-Robertson Specialist in Astronomy, Y.Y. was a Bengier-Winslow-Robertson Fellow in Astronomy), and many other donors. N.L. thanks the LSST-DA Data Science Fellowship Program, which is funded by LSST-DA, the Brinson Foundation, the WoodNext Foundation, and the Research Corporation for Science Advancement Foundation; her participation in the program has benefited this work. C.D.K. gratefully acknowledges support from the NSF through grant AST-2432037, the HST Guest Observer Program through HST-SNAP-17070 and HST-GO-17706, and from JWST Archival Research through JWST-AR-6241 and JWST-AR-5441. G.M. acknowledges financial support from the INAF mini-grant "The high-energy view of jets and transient" (Bando Ricerca Fondamentale INAF 2022).
Appendix
AT 2023fhn Swift w1 photometry
Swift-UVOT observed AT 2023fhn beginning at 2023-04-25 08:24:30 ( d). We report mag as the non-extinction-corrected magnitude. We reduced and corrected this photometry for Galactic extinction using the methods performed for the AT 2024wpp Swift UVOT photometry in § 2. MW extinction was corrected using with the Fitzpatrick [36] model with mag and mag.
Data Tables
| UTC Date | MJD | Phase | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-09-27 | 60580.4 | 2.1 | 15.74 ± 0.04 | 15.52 ± 0.04 | |
| 2024-09-27 | 60580.5 | 2.2 | 15.76 ± 0.04 | 15.49 ± 0.04 | |
| 2024-09-27 | 60580.5 | 2.2 | 15.68 ± 0.04 | ||
| 2024-09-27 | 60580.6 | 2.3 | 15.72 ± 0.04 | 15.39 ± 0.05 | |
| 2024-09-27 | 60580.6 | 2.3 | 15.63 ± 0.04 | 15.42 ± 0.04 | |
| 2024-09-27 | 60580.7 | 2.4 | 15.48 ± 0.04 | 15.64 ± 0.04 | 15.39 ± 0.04 |
| 2024-09-28 | 60581.8 | 3.5 | 15.29 ± 0.04 | ||
| 2024-09-28 | 60581.9 | 3.6 | 15.33 ± 0.04 | ||
| 2024-09-29 | 60582.0 | 3.7 | 15.32 ± 0.04 | 15.17 ± 0.04 | |
| 2024-09-29 | 60582.4 | 4.1 | 15.29 ± 0.04 | ||
| 2024-09-29 | 60582.5 | 4.2 | 15.29 ± 0.04 | 15.14 ± 0.04 | |
| 2024-09-30 | 60583.7 | 5.4 | 15.36 ± 0.04 | ||
| 2024-10-01 | 60584.0 | 5.7 | 15.27 ± 0.04 | 15.41 ± 0.04 | 15.42 ± 0.04 |
| 2024-10-01 | 60584.1 | 5.8 | 15.31 ± 0.04 | 15.41 ± 0.05 | 15.39 ± 0.04 |
| 2024-10-01 | 60584.3 | 6.0 | 15.33 ± 0.05 | 15.42 ± 0.04 | |
| 2024-10-01 | 60584.7 | 6.4 | 15.38 ± 0.04 | 15.47 ± 0.04 | 15.49 ± 0.04 |
| 2024-10-02 | 60585.6 | 7.3 | 15.53 ± 0.04 | 15.60 ± 0.04 | 15.64 ± 0.04 |
| 2024-10-04 | 60587.8 | 9.5 | 16.03 ± 0.04 | 16.09 ± 0.04 | 16.18 ± 0.04 |
| 2024-10-05 | 60588.4 | 10.1 | 16.23 ± 0.04 | 16.23 ± 0.04 | 16.37 ± 0.04 |
| 2024-10-07 | 60590.4 | 12.1 | 16.79 ± 0.05 | 16.78 ± 0.05 | 16.95 ± 0.05 |
| 2024-10-07 | 60590.5 | 12.2 | 16.80 ± 0.04 | 16.80 ± 0.04 | 17.00 ± 0.04 |
| 2024-10-07 | 60590.7 | 12.4 | 16.74 ± 0.04 | 16.84 ± 0.04 | 16.95 ± 0.04 |
| UTC Date | MJD | Phase | |||
| (1) | (2) | (3) | (4) | (5) | (6) |
| 2024-10-09 | 60592.5 | 14.2 | 17.16 ± 0.05 | ||
| 2024-10-10 | 60593.5 | 15.2 | 17.50 ± 0.05 | 17.45 ± 0.06 | 17.62 ± 0.05 |
| 2024-10-11 | 60594.6 | 16.3 | 17.83 ± 0.05 | 17.69 ± 0.06 | 17.93 ± 0.05 |
| 2024-10-12 | 60595.4 | 17.1 | 17.87 ± 0.05 | 17.82 ± 0.06 | 17.97 ± 0.05 |
| 2024-10-13 | 60596.3 | 18.0 | 18.14 ± 0.06 | ||
| 2024-10-14 | 60597.3 | 19.0 | 18.21 ± 0.06 | 18.11 ± 0.07 | 18.40 ± 0.06 |
| 2024-10-16 | 60599.6 | 21.3 | 18.61 ± 0.07 | 18.68 ± 0.09 | 18.76 ± 0.07 |
| 2024-10-17 | 60600.3 | 22.0 | 18.99 ± 0.08 | 19.1 ± 0.1 | 19.36 ± 0.09 |
| 2024-10-18 | 60601.2 | 22.9 | 18.93 ± 0.07 | 18.9 ± 0.1 | 19.04 ± 0.08 |
| 2024-10-19 | 60602.7 | 24.4 | 19.22 ± 0.08 | 19.1 ± 0.1 | 19.4 ± 0.1 |
| 2024-10-20 | 60603.6 | 25.3 | 19.25 ± 0.09 | 19.2 ± 0.1 | 19.25 ± 0.09 |
| 2024-10-22 | 60605.4 | 27.1 | 19.48 ± 0.09 | 19.6 ± 0.1 | |
| 2024-10-23 | 60606.3 | 28.0 | 19.7 ± 0.1 | 19.5 ± 0.1 | 20.0 ± 0.1 |
| 2024-10-24 | 60607.1 | 28.8 | 19.8 ± 0.1 | 19.7 ± 0.2 | 20.0 ± 0.1 |
| 2024-10-25 | 60608.6 | 30.3 | 19.9 ± 0.2 | 19.7 ± 0.1 | 19.7 ± 0.1 |
| 2024-10-26 | 60609.0 | 30.7 | 19.6 ± 0.1 | 19.7 ± 0.1 | 19.9 ± 0.1 |
| 2024-10-27 | 60610.7 | 32.4 | 20.2 ± 0.1 | 20.1 ± 0.1 | |
| 2024-10-28 | 60611.1 | 32.8 | 20.3 ± 0.1 | 20.4 ± 0.2 | |
| 2024-10-29 | 60612.8 | 34.5 | 20.2 ± 0.1 | 20.1 ± 0.2 | 20.5 ± 0.1 |
| 2024-11-06 | 60620.6 | 42.3 | 20.9 ± 0.1 | ||
| 2024-11-07 | 60621.7 | 43.4 | 21.0 ± 0.2 | 21.0 ± 0.1 | |
| 2024-11-09 | 60623.8 | 45.5 | 21.0 ± 0.2 | ||
| 2024-11-10 | 60624.7 | 46.4 | 21.3 ± 0.2 | ||
| 2024-11-11 | 60625.7 | 47.4 | 20.8 ± 0.2 | 20.9 ± 0.1 | |
| 2024-11-18 | 60632.8 | 54.5 | 21.3 ± 0.2 | ||
| 2024-11-19 | 60633.7 | 55.4 | 21.2 ± 0.3 | ||
| 2024-11-22 | 60636.1 | 57.8 | 21.9 ± 0.3 | ||
| 2024-11-22 | 60636.5 | 58.2 | 21.3 ± 0.2 | 21.9 ± 0.2 | |
| 2024-11-23 | 60637.4 | 59.1 | 21.6 ± 0.2 | ||
| 2024-11-28 | 60642.3 | 64.0 | 21.5 ± 0.2 | 21.8 ± 0.2 | |
| 2024-12-12 | 60656.3 | 78.0 | 22.1 ± 0.3 | 21.9 ± 0.2 | |
| 2024-12-31 | 60675.2 | 96.9 | 22.2 ± 0.3 |
Table B4. Table B4. Swift UVOT AB UV Photometry
Relative to (MJD 60578.3).
Relative to (MJD 60578.3).
References
- [1]Andreoni, I., Coughlin, M. W., Perley, D. A., et al. 2023, Nature, 613, E6, doi: 10.1038/s41586-023-05699-0DOI
- [2]Arcavi, I., Gal-Yam, A., Cenko, S. B., et al. 2012, ApJL, 756, L30, doi: 10.1088/2041-8205/756/2/L30DOI
- [3]Arcavi, I., Gal-Yam, A., Sullivan, M., et al. 2014, ApJ, 793, 38, doi: 10.1088/0004-637X/793/1/38DOI
- [4]Arcavi, I., Wolf, W. M., Howell, D. A., et al. 2016, ApJ, 819, 35, doi: 10.3847/0004-637X/819/1/35DOI
- [5]Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013a, A&A, 558, A33, doi: 10.1051/0004-6361/201322068
- [7]Astropy Collaboration, Price-Whelan, A. M., Sipőcz, B. M., et al. 2018a, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f
- [9]Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167, doi: 10.3847/1538-4357/ac7c74DOI
- [10]Becker, A. 2015, HOTPANTS: High Order Transform of PSF And Template Subtraction, Astrophysics Source Code Library, record ascl:1504.004
- [11]Beroiz, M., Cabral, J. B., & Sanchez, B. 2020, Astronomy and Computing, 32, 100384, doi: 10.1016/j.ascom.2020.100384DOI
- [12]Bertin, E. 2010, Swarp: Resampling and Co-adding FITS Images Together, Astrophysics Source Code Library, record ascl:1010.068
- [13]Bradley, L., Sipőcz, B., Robitaille, T., et al. 2024a, astropy/photutils: 1.11.0, 1.11.0, Zenodo, doi: 10.5281/zenodo.10671725 —. 2024b, astropy/photutils: 1.13.0, 1.13.0, Zenodo, doi: 10.5281/zenodo.12585239
- [14]Bright, J. S., Margutti, R., Matthews, D., et al. 2022, ApJ, 926, 112, doi: 10.3847/1538-4357/ac4506DOI
- [15]Brown, J. S., Kochanek, C. S., Holoien, T. W. S., et al. 2018, MNRAS, 473, 1130, doi: 10.1093/mnras/stx2372DOI
- [16]Brown, P. J., Holland, S. T., Immler, S., et al. 2009, AJ, 137, 4517, doi: 10.1088/0004-6256/137/5/4517DOI
- [17]Brown, P. J., Roming, P. W. A., Milne, P., et al. 2010, ApJ, 721, 1608, doi: 10.1088/0004-637X/721/2/1608DOI
- [18]Calderón, D., Pejcha, O., & Duffell, P. C. 2021, MNRAS, 507, 1092, doi: 10.1093/mnras/stab2219DOI
- [19]Charalampopoulos, P., Pursiainen, M., Leloudas, G., et al. 2023, A&A, 673, A95, doi: 10.1051/0004-6361/202245065DOI
- [20]Chen, C., & Shen, R.-F. 2022, Research in Astronomy and Astrophysics, 22, 035017, doi: 10.1088/1674-4527/ac488a
- [21]Chen, Y., Drout, M. R., Piro, A. L., et al. 2023a, ApJ, 955, 43, doi: 10.3847/1538-4357/ace964DOI
- [25]Coppejans, D. L., Margutti, R., Terreran, G., et al. 2020, ApJL, 895, L23, doi: 10.3847/2041-8213/ab8cc7DOI
- [26]Covino, S., Zerbi, F. M., Chincarini, G., et al. 2004, Astronomische Nachrichten, 325, 543, doi: 10.1002/asna.200410276
- [27]Crawford, S. M., Still, M., Schellart, P., et al. 2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7737, Observatory Operations: Strategies, Processes, and Systems III, ed. D. R. Silva, A. B. Peck, & B. T. Soifer, 773725, doi: 10.1117/12.857000
- [28]Crowther, P. A. 2007, ARA&A, 45, 177, doi: 10.1146/annurev.astro.45.051806.110615DOI
- [29]Dessart, L., Hillier, D. J., Livne, E., et al. 2011, MNRAS, 414, 2985, doi: 10.1111/j.1365-2966.2011.18598.xDOI
- [30]Drout, M. R., Chornock, R., Soderberg, A. M., et al. 2014, ApJ, 794, 23, doi: 10.1088/0004-637X/794/1/23DOI
- [31]Eikenberry, S., Bandyopadhyay, R., Bennett, J. G., et al. 2012, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 8446, Ground-based and Airborne Instrumentation for Astronomy IV, ed. I. S. McLean, S. K. Ramsay, & H. Takami, 84460I, doi: 10.1117/12.925679
- [32]Eikenberry, S. S., Elston, R., Raines, S. N., et al. 2004, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 5492, Ground-based Instrumentation for Astronomy, ed. A. F. M. Moorwood & M. Iye, 1196–1207, doi: 10.1117/12.549796
- [33]Fernique, P., Allen, M. G., Boch, T., et al. 2015, A&A, 578, A114, doi: 10.1051/0004-6361/201526075DOI
- [34]Ferrero, P., Kann, D. A., Zeh, A., et al. 2006, A&A, 457, 857, doi: 10.1051/0004-6361:20065530DOI
- [35]Filippenko, A. V. 1982, PASP, 94, 715, doi: 10.1086/131052DOI
- [36]Fitzpatrick, E. L. 1999, PASP, 111, 63, doi: 10.1086/316293DOI
- [37]Flewelling, H. 2018, in American Astronomical Society Meeting Abstracts, Vol. 231, American Astronomical Society Meeting Abstracts #231, 436.01
- [38]Foley, R. J., Pankova, M. S., Swift, B. J., et al. 2003, PASP, 115, 1220, doi: 10.1086/378242DOI
- [39]Fulton, M., Chen, T. W., Smartt, S. J., et al. 2024, Transient Name Server AstroNote, 206, 1
- [40]Gagliano, A., Narayan, G., Engel, A., Carrasco Kind, M., & LSST Dark Energy Science Collaboration. 2021, ApJ, 908, 170, doi: 10.3847/1538-4357/abd02bDOI
- [41]Gaia Collaboration, Nale, A., Brown, A. G. A., et al. 2023, A&A, 674, A1, doi: 10.1051/0004-6361/202243940
- [42]Gehrels, N., Chincarini, G., Giommi, P., et al. 2004, ApJ, 611, 1005, doi: 10.1086/422091DOI
- [43]Gezari, S., Chornock, R., Lawrence, A., et al. 2015, ApJL, 815, L5, doi: 10.1088/2041-8205/815/1/L5DOI
- [44]Ginsburg, A., Sipőcz, B. M., Brasseur, C. E., et al. 2019, AJ, 157, 98, doi: 10.3847/1538-3881/aafc33DOI
- [45]Guillochon, J., Manukian, H., & Ramirez-Ruiz, E. 2014, ApJ, 783, 23, doi: 10.1088/0004-637X/783/1/23DOI
- [46]Gutiérrez, C. P., Mattila, S., Lundqvist, P., et al. 2024, arXiv e-prints, arXiv:2408.04698, doi: 10.48550/arXiv.2408.04698DOI
- [47]Hammerstein, E., van Velzen, S., Gezari, S., et al. 2023, ApJ, 942, 9, doi: 10.3847/1538-4357/aca283DOI
- [48]Hamuy, M. 2003, The Astrophysical Journal, 582, 905, doi: 10.1086/344689
- [57]Holoien, T. W. S., Prieto, J. L., Bersier, D., et al. 2014, MNRAS, 445, 3263, doi: 10.1093/mnras/stu1922DOI
- [58]Holoien, T. W. S., Kochanek, C. S., Prieto, J. L., et al. 2016, MNRAS, 463, 3813, doi: 10.1093/mnras/stw2272 Horne, K. 1986, PASP, 98, 609, doi: 10.1086/131801
- [59]Hunter, D. J., Valenti, S., Kotak, R., et al. 2009, A&A, 508, 371, doi: 10.1051/0004-6361/200912896DOI
- [60]Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
- [61]Inkenhaag, A., Jonker, P. G., Levan, A. J., et al. 2023, MNRAS, 525, 4042, doi: 10.1093/mnras/stad2531DOI
- [62]Inserra, C., Smartt, S. J., Jerkstrand, A., et al. 2013, ApJ, 770, 128, doi: 10.1088/0004-637X/770/2/128DOI
- [63]Johnson, B., Foreman-Mackey, D., Sick, J., et al. 2024, dfm/python-fsps: v0.4.7, v0.4.7, Zenodo, doi: 10.5281/zenodo.12447779DOI
- [64]Johnson, B. D. 2021, bd-j/sedpy: sedpy v0.2.0, v0.2.0, Zenodo, doi: 10.5281/zenodo.14587223
- [65]Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S. 2021, ApJS, 254, 22, doi: 10.3847/1538-4365/abef67DOI
- [66]Kasen, D., Thomas, R. C., & Nugent, P. 2006, ApJ, 651, 366, doi: 10.1086/506190DOI
- [67]Khatami, D. K., & Kasen, D. N. 2024, ApJ, 972, 140, doi: 10.3847/1538-4357/ad60c0DOI
- [68]Kiewe, M., Gal-Yam, A., Arcavi, I., et al. 2012, ApJ, 744, 10, doi: 10.1088/0004-637X/744/1/10DOI
- [69]Kulkarni, S. R., Harrison, F. A., Grefenstette, B. W., et al. 2021, arXiv e-prints, arXiv:2111.15608, doi: 10.48550/arXiv.2111.15608DOI
- [70]Labrie, K., Simpson, C., Cardenes, R., et al. 2023a, Research Notes of the American Astronomical Society, 7, 214, doi: 10.3847/2515-5172/ad0044
- [73]Loeb, A., & Ulmer, A. 1997, ApJ, 489, 573, doi: 10.1086/304814DOI
- [75]Margalit, B. 2022, ApJ, 933, 238, doi: 10.3847/1538-4357/ac771aDOI
- [76]Margutti, R., Milisavljevic, D., Soderberg, A. M., et al. 2014a, ApJ, 780, 21, doi: 10.1088/0004-637X/780/1/21DOI
- [78]Margutti, R., Metzger, B. D., Chornock, R., et al. 2019, ApJ, 872, 18, doi: 10.3847/1538-4357/aafa01DOI
- [79]Martin, D. C., Fanson, J., Schiminovich, D., et al. 2005, ApJL, 619, L1, doi: 10.1086/426387DOI
- [80]Matsumoto, T., & Piran, T. 2021, MNRAS, 502, 3385, doi: 10.1093/mnras/stab240DOI
- [81]Matthews, D., Margutti, R., Metzger, B. D., et al. 2023, Research Notes of the American Astronomical Society, 7, 126, doi: 10.3847/2515-5172/acddel
- [82]Mazzali, P. A., Iwamoto, K., & Nomoto, K. 2000, ApJ, 545, 407, doi: 10.1086/317808DOI
- [83]Mazzali, P. A., Deng, J., Pian, E., et al. 2006, ApJ, 645, 1323, doi: 10.1086/504415DOI
- [84]Metzger, B. D. 2022a, ApJ, 932, 84, doi: 10.3847/1538-4357/ac6d59DOI
- [86]Metzger, B. D., & Perley, D. A. 2023, ApJ, 944, 74, doi: 10.3847/1538-4357/acae89DOI
- [87]Metzger, B. D., Yurm, I., Hascoët, R., & Beloborodov, A. M. 2014, MNRAS, 437, 703, doi: 10.1093/mnras/stt1922DOI
- [88]Migliori, G., Margutti, R., Metzger, B. D., et al. 2024, ApJL, 963, L24, doi: 10.3847/2041-8213/ad2764DOI
- [89]Miller, J. S. 1994, The Kast Double Spectrograph (University of California Observatories/Lick Observatory)
- [90]Modjaz, M., Li, W., Butler, N., et al. 2009, ApJ, 702, 226, doi: 10.1088/0004-637X/702/1/226DOI
- [91]Mummery, A., van Velzen, S., Nathan, E., et al. 2024, MNRAS, 527, 2452, doi: 10.1093/mnras/stad3001DOI
- [92]Nicholl, M., Srivastav, S., Fulton, M. D., et al. 2023, ApJL, 954, L28, doi: 10.3847/2041-8213/acf0baDOI
- [93]Ofek, E. O., Ozer, L., Konno, R., et al. 2025, A search for minute-time-scale flares from the transient AT 2024wpp. https://arXiv.org/abs/2508.18359arxiv.org/abs/2508.18359
- [94]Oke, J. B., & Gunn, J. E. 1983, ApJ, 266, 713, doi: 10.1086/160817DOI
- [95]Oke, J. B., Cohen, J. G., Carr, M., et al. 1995, PASP, 107, 375, doi: 10.1086/133562DOI
- [96]Osterbrock, D. E., & Ferland, G. J. 2006, Astrophysics of gaseous nebulae and active galactic nuclei
- [97]Patat, F., Cappellaro, E., Danziger, J., et al. 2001, ApJ, 555, 900, doi: 10.1086/321526DOI
- [98]Pellegrino, C., Howell, D. A., Vinkó, J., et al. 2022, ApJ, 926, 125, doi: 10.3847/1538-4357/ac3e63DOI
- [99]Perley, D. A. 2019, PASP, 131, 084503, doi: 10.1088/1538-4373/ab215d
- [100]Perley, D. A., Mazzali, P. A., Yan, L., et al. 2019, MNRAS, 484, 1031, doi: 10.1093/mnras/sty3420DOI
- [101]Perley, D. A., Ho, A. Y. Q., Yao, Y., et al. 2021, MNRAS, 508, 5138, doi: 10.1093/mnras/stab2785DOI
- [102]Perley, D. A., Qin, Y., Rich, R. M., et al. 2024, Transient Name Server AstroNote, 280, 1
- [103]Pignata, M., Stritzinger, M., Soderberg, A., et al. 2011, ApJ, 728, 14, doi: 10.1088/0004-637X/728/1/14DOI
- [104]Piro, A. L., & Lu, W. 2020, The Astrophysical Journal, 894, 2, doi: 10.3847/1538-4357/ab83f6
- [105]Planck Collaboration, Aghanim, N., Akrami, Y., et al. 2020, A&A, 641, A6, doi: 10.1051/0004-6361/201833910
- [106]Prentice, S. J., Maguire, K., Smartt, S. J., et al. 2018, ApJL, 865, L3, doi: 10.3847/2041-8213/aadd90DOI
- [107]Prochaska, J., Hennawi, J., Westfall, K., et al. 2020a, The Journal of Open Source Software, 5, 2308, doi: 10.21105/joss.02308
- [109]Pursiainen, M., Childress, M., Smith, M., et al. 2018, MNRAS, 481, 894, doi: 10.1093/mnras/sty2309DOI
- [110]Pursiainen, M., Killestein, T. L., Kuncarayakti, H., et al. 2025, MNRAS, 537, 3298, doi: 10.1093/mnras/staf232DOI
- [111]Quataert, E., Lecciaonnet, D., & Coughlin, E. R. 2019, MNRAS, 485, L83, doi: 10.1093/mnrasl/slz031DOI
- [112]Quimby, R. M., Kulkarni, S. R., Kasliwal, M. M., et al. 2011, Nature, 474, 487, doi: 10.1038/nature10095DOI
- [113]Rabinak, I., & Waxman, E. 2011, ApJ, 728, 63, doi: 10.1088/0004-637X/728/1/63DOI
- [114]Rest, A., Stubbs, C., Becker, A. C., et al. 2005, ApJ, 634, 1103, doi: 10.1086/497060DOI
- [115]Rest, A., Garnavich, P. M., Khatami, D., et al. 2018, Nature Astronomy, 2, 307, doi: 10.1038/s41550-018-0423-2DOI
- [116]Richmond, M. W., van Dyk, S. D., Ho, W., et al. 1996, AJ, 111, 327, doi: 10.1086/117785DOI
- [117]Rodrigo, C., & Solano, E. 2020, in XIV.0 Scientific Meeting (virtual) of the Spanish Astronomical Society, 182
- [118]Roming, P. W. A., Kennedy, T. E., Mason, K. O., et al. 2005, SSRv, 120, 95, doi: 10.1007/s11214-005-5095-4DOI
- [119]Roth, N., & Kasen, D. 2018, ApJ, 855, 54, doi: 10.3847/1538-4357/aaaec6DOI
- [120]Roth, N., Kasen, D., Guillochon, J., & Ramirez-Ruiz, E. 2016, ApJ, 827, 3, doi: 10.3847/0004-637X/827/1/3DOI
- [121]Rybicki, G. B., & Lightman, A. P. 1979, Radiative processes in astrophysics
- [122]Sadowski, A., & Narayan, R. 2015, MNRAS, 453, 3213, doi: 10.1093/mnras/stv1802DOI
- [123]Sagiv, I., Gal-Yam, A., Ofek, E. O., et al. 2014, AJ, 147, 79, doi: 10.1088/0004-6256/147/4/79DOI
- [124]Schechter, P. L., Mateo, M., & Saha, A. 1993, PASP, 105, 1342, doi: 10.1086/133316DOI
- [126]Short, P., Nicholl, M., Lawrence, A., et al. 2020, MNRAS, 498, 4119, doi: 10.1093/mnras/staa2065DOI
- [127]Siebert, M. R., Dimitriadis, G., Polin, A., & Foley, R. J. 2020, ApJL, 900, L27, doi: 10.3847/2041-8213/abae6e
- [128]Silverman, J. M., Foley, R. J., Filippenko, A. V., et al. 2012, MNRAS, 425, 1789, doi: 10.1111/j.1365-2966.2012.21270.xDOI
- [129]Sadowski, A., & Narayan, R. 2016, MNRAS, 456, 3929, doi: 10.1093/mnras/stv2941DOI
- [130]Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163, doi: 10.1086/498708DOI
- [131]Smith, K. W., Smartt, S. J., Young, D. R., et al. 2020, PASP, 132, 085002, doi: 10.1088/1538-3873/ab936eDOI
- [132]Smith, M. P., Nordsieck, K. H., Burgh, E. B., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 6269, Ground-based and Airborne Instrumentation for Astronomy, ed. I. S. McLean & M. Iye, 62692A, doi: 10.1117/12.672415
- [133]Smith, N., Mauerhan, J. C., Kasliwal, M. M., & Burgasser, A. J. 2013, MNRAS, 434, 2721, doi: 10.1093/mnras/stt944DOI
- [134]Somalwar, J. J., Ravi, V., Margutti, R., et al. 2025, arXiv e-prints, arXiv:2505.11597, doi: 10.48550/arXiv.2505.11597DOI
- [135]Speagle, J. S. 2020, MNRAS, 493, 3132, doi: 10.1093/mnras/staa278DOI
- [136]Stritzinger, M., Hamuy, M., Suntzeff, N. B., et al. 2002, AJ, 124, 2100, doi: 10.1086/342544DOI
- [137]STScI Development Team. 2018, synphot: Synthetic photometry using Astropy, Astrophysics Source Code Library, record ascl:1811.001
- [138]Sun, N.-C., Maund, J. R., Crowther, P. A., & Liu, L.-D. 2022, MNRAS, 512, L66, doi: 10.1093/mnrasl/slac023DOI
- [139]Sun, N.-C., Maund, J. R., Shao, Y., & Janiak, I. A. 2023, MNRAS, 519, 3785, doi: 10.1093/mnras/stac3773DOI
- [140]Swift, J. J., Andersen, K., Arculli, T., et al. 2022, PASP, 134, 035005, doi: 10.1088/1538-3873/ac5acaDOI
- [141]Tanaka, M., Tominaga, N., Morokuma, T., et al. 2016, ApJ, 819, 5, doi: 10.3847/0004-637X/819/1/5DOI
- [142]Taubenberger, S., Pastorello, A., Mazzali, P. A., et al. 2006, MNRAS, 371, 1459, doi: 10.1111/j.1365-2966.2006.10776.xDOI
- [143]Tejero-Cantero, A., Boelts, J., Deistler, M., et al. 2020, Journal of Open Source Software, 5, 2505, doi: 10.21105/joss.02505
- [144]Tinyanont, S., Foley, R. J., Taggart, K., et al. 2024, PASP, 136, 014201, doi: 10.1088/1538-3873/ad1b39DOI
- [145]Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505, doi: 10.1088/1538-3873/aabadfDOI
- [146]Tsuna, D., & Lu, W. 2025, ApJ, 986, 84, doi: 10.3847/1538-4357/add158DOI
- [147]Tuna, S., Metzger, B. D., Jiang, Y.-F., & White, C. J. 2025, arXiv e-prints, arXiv:2501.11357, doi: 10.48550/arXiv.2501.11357
- [148]Uno, K., & Maeda, K. 2020, ApJ, 897, 156, doi: 10.3847/1538-4357/ab9632DOI
- [149]Valenti, S., Benetti, S., Cappellaro, E., et al. 2008, MNRAS, 383, 1485, doi: 10.1111/j.1365-2966.2007.12647.xDOI
- [150]Valenti, S., Fraser, M., Benetti, S., et al. 2011, MNRAS, 416, 3138, doi: 10.1111/j.1365-2966.2011.19262.xDOI
- [151]van Baal, B. F. A., Jerkstrand, A., Wongsathanarat, A., & Janka, H.-T. 2023, MNRAS, 523, 954, doi: 10.1093/mnras/stad1488DOI
- [152]van Velzen, S., Farrar, G. R., Gezari, S., et al. 2011, ApJ, 741, 73, doi: 10.1088/0004-637X/741/2/73DOI
- [153]van Velzen, S., Gezari, S., Cenko, S. B., et al. 2019, ApJ, 872, 198, doi: 10.3847/1538-4357/aaf e0c
- [154]van Velzen, S., Gezari, S., Hammerstein, E., et al. 2021, ApJ, 908, 4, doi: 10.3847/1538-4357/abc258DOI
- [155]Vinkó, J., Yuan, F., Quimby, R. M., et al. 2015, ApJ, 798, 12, doi: 10.1088/0004-637X/798/1/12DOI
- [156]Vurm, I., & Metzger, B. D. 2021, ApJ, 917, 77, doi: 10.3847/1538-4357/ac0826DOI
- [157]Wang, B., Leja, J., Villar, V. A., & Speagle, J. S. 2023, ApJL, 952, L10, doi: 10.3847/2041-8213/ace361DOI
- [158]Wang, T.-G., Zhou, H.-Y., Wang, L.-F., Lu, H.-L., & Xu, D. 2011, ApJ, 740, 85, doi: 10.1088/0004-637X/740/2/85DOI
- [159]Wilson, J. C., Henderson, C. P., Herter, T. L., et al. 2004, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 5492, Ground-based Instrumentation for Astronomy, ed. A. F. M. Moorwood & M. Iye, 1295–1305, doi: 10.1117/12.550925
- [160]Wright, A. E., & Barlow, M. J. 1975, MNRAS, 170, 41, doi: 10.1093/mnras/170.1.41DOI
- [161]Yao, Y., Ho, A. Y. Q., Medvedev, P., et al. 2022, ApJ, 934, 104, doi: 10.3847/1538-4357/ac7a41DOI
- [162]Yao, Y., Ravi, V., Gezari, S., et al. 2023, ApJL, 955, L6, doi: 10.3847/2041-8213/acf216DOI
- [163]Yao, Y., Chornock, R., Ward, C., et al. 2025, ApJL, 985, L48, doi: 10.3847/2041-8213/add7deDOI
- [164]Yoshii, Y., Tomita, H., Kobayashi, Y., et al. 2003, ApJ, 592, 467, doi: 10.1086/375572DOI
- [165]Yoshioka, S., Mineshige, S., Oh s u g a, K., Kawashima, T., & Kitaki, T. 2024, PASJ, 76, 1015, doi: 10.1093/pasj/psae067DOI
- [166]Zerbi, R. M., Chincarini, G., Ghisellini, G., et al. 2001, Astronomische Nachrichten, 322, 275, doi: 10.1002/1521-3994(200112)322:5/6<275::AID-ASNA275>3.0.CO;2-Ndoi.org/10.1002/1521-3994(200112)322:5/6<275::aid-asna275>3.0.co;2-n
- [167]Zonca, A., Singer, L., Lenz, D., et al. 2019, The Journal of Open Source Software, 4, 1298, doi: 10.21105/joss.01298DOI