FS
F. Sobreira
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.HEastro-ph.SRgr-qcastro-ph.EPhep-phhep-thastro-ph
On Valency
published · living versionsW_4egn3j25·v1 · currentpublished
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets?
with D. Scolnic, R. Kessler, D. Brout, P. S. Cowperthwaite +81
1 version
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W_2zyqujkb·v1published
W_caq2h6g4·v1published
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Preprints & journals
207 papers in the corpus · 2004–2025Ultra-Faint Milky Way Satellites Discovered in Carina, Phoenix, and Telescopium with DELVE Data Release 32510.11684v2 · C. Y. Tan, W. Cerny, A. B. Pace et al.2025 · 3 citationsApJ 1000, 46 (2026)
Calibrating the Absolute Magnitude of Type Ia Supernovae in Nearby Galaxies using [OII] and Implications for 2408.01001v2 · M. Dixon, J. Mould, C. Lidman et al.2024 · 1 citationarXiv
The Hanbury-Brown and Twiss effect in inflationary cosmological perturbations2406.13082v2 · Gustavo Matheus Gauy, Flavia Sobreira, Giorgio Torrieri2024 · 0 citationsarXiv
Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data2307.13860v2 · M. Gatti, N. Jeffrey, L. Whiteway et al.2023 · 22 citationsarXiv
The Kinematic Sunyaev-Zel'dovich Effect with ACT, DES, and BOSS: a Novel Hybrid Estimator2305.06792v3 · M. Mallaby-Kay, S. Amodeo, J. C. Hill et al.2023 · 16 citationsPhys. Rev. D 108, 023516 - Published 18 July 2023
Discovery of a Candidate Binary Supermassive Black Hole in a Periodic Quasar from Circumbinary Accretion Variability2008.12317v3 · Wei-Ting Liao, Yu-Ching Chen, Xin Liu et al.2020 · 38 citationsMonthly Notices of the Royal Astronomical Society, Volume 500, Issue 3, pp.4025-4041 (2021)on Valency
The first Hubble diagram and cosmological constraints using superluminous supernova2004.12218v2 · C. Inserra, M. Sullivan, C. R. Angus et al.2020 · 26 citationsarXiv
Detection of Cross-Correlation between Gravitational Lensing and γ Rays.32216401 · Ammazzalorso, S, Gruen, D, Regis, M et al.2020 · 27 citationsPhysical review letters. 2020;124(10):101102
Dynamical Classification of Trans-Neptunian Objects Detected by the Dark Energy Survey2001.06060v1 · T. Khain, J. C. Becker, Hsing Wen Lin et al.2020 · 32 citationsarXiv
Observation and Confirmation of Nine Strong Lensing Systems in Dark Energy Survey Year 1 Data1911.02162v1 · B. Nord, E. Buckley-Geer, H. Lin et al.2019 · 8 citationsarXiv
Search for RR Lyrae stars in DES ultra-faint systems: Grus I, Kim 2, Phoenix II, and Grus II1909.06308v1 · C. E. Mart'inez-V'azquez, A. K. Vivas, M. Foucoin et al.2019 · 49 citationsarXiv
Dark Energy Survey Year 1 results: The relationship between mass and light around cosmic voids1909.01386v2 · Y. Fang, N. Hamaus, B. Jain et al.2019 · 48 citationsarXiv
Trans-Neptunian objects found in the first four years of the Dark Energy Survey1909.01478v2 · Pedro H. Bernardinelli, Gary M. Bernstein, Masao Sako et al.2019 · 42 citationsarXiv
Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging1908.03610v2 · Ting-Yun Cheng, Christopher J. Conselice, Alfonso Arag'on-Salamanca et al.2019 · 119 citationsarXiv
A DECam Search for Explosive Optical Transients Associated with IceCube Neutrinos1907.07193v2 · R. Morgan, K. Bechtol, R. Kessler et al.2019 · 14 citationshttps://ui.adsabs.harvard.edu/abs/2019ApJ...883..125M
Producing a BOSS-CMASS sample with DES imaging1906.01136v1 · S. Lee, E. M. Huff, A. J. Ross et al.2019 · 26 citationsarXiv
Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space1905.12682v1 · B. Mawdsley, D. Bacon, C. Chang et al.2019 · 12 citationsarXiv
An extended catalog of galaxy-galaxy strong gravitational lenses discovered in DES using convolutional neural networks1905.10522v1 · C. Jacobs, T. Collett, K. Glazebrook et al.2019 · 14 citationsarXiv
H0LiCOW X: Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI2033-47231905.08800v2 · D. Sluse, C. E. Rusu, C. D. Fassnacht et al.2019 · 38 citationsarXiv
Cosmological Constraints from Multiple Probes in the Dark Energy Survey.31107093 · Abbott, T M C, Alarcon, A, Allam, S et al.2019 · 107 citationsPhysical review letters. 2019;122(17):171301
Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification1905.00428v1 · K. M. Stringer, J. P. Long, L. M. Macri et al.2019 · 24 citationsarXiv
Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zeldovich effect cross-correlations1904.13347v1 · S. Pandey, E. J. Baxter, Z. Xu et al.2019 · 47 citationsPhys. Rev. D 100, 063519 (2019)
Spectral Variability of a Sample of Extreme Variability Quasars and Implications for the MgII Broad-line Region1904.10912v1 · Qian Yang, Yue Shen, Yu-Ching Chen et al.2019 · 29 citationsarXiv
Modelling the Milky Way. I -- Method and first results fitting the thick disk and halo with DES-Y3 data1904.04350v2 · A. Pieres, L. Girardi, E. Balbinot et al.2019 · 21 citationsarXiv
Brown dwarf census with the Dark Energy Survey year 3 data and the thin disk scale height of early L types1903.10806v1 · A. Carnero Rosell, B. Santiago, M. dal Ponte et al.2019 · 41 citationsarXiv
Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters1903.08813v2 · A. Palmese, J. Annis, J. Burgad et al.2019 · 41 citationsarXiv
Mass Variance from Archival X-ray Properties of Dark Energy Survey Year-1 Galaxy Clusters1903.08042v1 · A. Farahi, X. Chen, A. E. Evrard et al.2019 · 27 citationsarXiv
CIV Black Hole Mass Measurements with the Australian Dark Energy Survey (OzDES)1902.04206v2 · J. K. Hoormann, P. Martini, T. M. Davis et al.2019 · 53 citationsarXiv
Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy1902.04589v1 · Mei-Yu Wang, Sergey Koposov, Alex Drlica-Wagner et al.2019 · 25 citationsarXiv
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing1901.05005v2 · R. Buchs, C. Davis, D. Gruen et al.2019 · 105 citationsarXiv
Three new VHS-DES Quasars at 6.7 < z < 6.9 and Emission Line Properties at z > 6.51901.07456v1 · S. L. Reed, M. Banerji, G. D. Becker et al.2019 · 102 citationsarXiv
First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW1708141901.01540v2 · M. Soares-Santos, A. Palmese, W. Hartley et al.2019 · 300 citationsThe Astrophysical Journal Letters, Volume 876, 1, L7 (2019)
Is the tension suggesting a 4th neutrino's generation?1812.06064v2 · S. Carneiro, P. C. de Holanda, C. Pigozzo et al.2018 · 48 citationsPhys. Rev. D 100, 023505 (2019)
Dark Energy Survey Year 1 results: Validation of weak lensing cluster member contamination estimates from P(z) decomposition1812.05116v1 · T. N. Varga, J. DeRose, D. Gruen et al.2018 · 42 citationsarXiv
Superluminous Supernovae from the Dark Energy Survey1812.04071v2 · C. R. Angus, M. Smith, M. Sullivan et al.2018 · 105 citationsarXiv
Candidate Massive Galaxies at in the Dark Energy Survey1811.12422v1 · Pierandrea Guarnieri, Claudia Maraston, Daniel Thomas et al.2018 · 19 citationsarXiv
Astrometry and Occultation predictions to Trans-Neptunian and Centaur Objects observed within the Dark Energy Survey1811.10724v1 · Martin Banda-Huarca, Julio Camargo, Josselin Desmars et al.2018 · 10 citationsarXiv
More out of less: an excess integrated Sachs-Wolfe signal from supervoids mapped out by the Dark Energy Survey1811.07812v2 · A. Kov'acs, C. S'anchez, J. Garc'ia-Bellido et al.2018 · 72 citationsarXiv
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing1811.06989v2 · S. Samuroff, J. Blazek, M. A. Troxel et al.2018 · 94 citationsarXiv
Measurement of the Splashback Feature around SZ-selected Galaxy Clusters with DES, SPT and ACT1811.06081v2 · T. Shin, S. Adhikari, E. J. Baxter et al.2018 · 80 citationsarXiv
Finding high-redshift strong lenses in DES using convolutional neural networks1811.03786v2 · C. Jacobs, T. Collett, K. Glazebrook et al.2018 · 103 citationsarXiv
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields1811.03638v2 · Zhefu Yu, Paul Martini, T. M. Davis et al.2018 · 63 citationsThe Astrophysical Journal Supplement Series, 246:16 (27pp), 2020
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters1811.02374v4 · T. M. C. Abbott, S. Allam, P. Andersen et al.2018 · 273 citationshttps://ui.adsabs.harvard.edu/abs/2019ApJ...872L..30A
First Cosmological Results using Type Ia Supernovae from the Dark Energy Survey: Measurement of the Hubble Constant1811.02376v2 · E. Macaulay, R. C. Nichol, D. Bacon et al.2018 · 230 citationsarXiv
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation1811.02377v5 · D. Brout, D. Scolnic, R. Kessler et al.2018 · 133 citationsThe Astrophysical Journal, Volume 874, Issue 2, article id. 150, 29 pp. (2019)
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release1811.02378v5 · D. Brout, M. Sako, D. Scolnic et al.2018 · 90 citationsThe Astrophysical Journal, 874:106 (12pp), 2019 March 20
First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases1811.02379v4 · R. Kessler, D. Brout, C. B. D'Andrea et al.2018 · 90 citationshttps://ui.adsabs.harvard.edu/abs/2019MNRAS.485.1171K
First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Effects of Chromatic Corrections to Supernova Photometry on Measurements of Cosmological Parameters1811.02380v2 · J. Lasker, R. Kessler, D. Scolnic et al.2018 · 22 citationsarXiv
Steve: A hierarchical Bayesian model for Supernova Cosmology1811.02381v3 · S. R. Hinton, T. M. Davis, A. G. Kim et al.2018 · 33 citationsarXiv
Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data1810.10998v2 · S. Raghunathan, S. Patil, E. Baxter et al.2018 · 36 citationsarXiv
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