alphaFeedback

WorksPhysics and Astronomy

Properties of the extremely energetic GRB~221009A from Konus-WIND and SRG/ART-XC observations

AI contributions
Not recorded for this paper
View details

Abstract

We report on Konus-Wind (KW) and Mikhail Pavlinsky ART-XC telescope observations and analysis of a nearby GRB 221009A, the brightest γγ-ray burst (GRB) detected by KW for >>28 years of observations. The prompt, pulsed phase of the burst emission lasts for ∼600\sim 600 s and is followed by a steady power-law decay lasting for more than 25 ks. From the analysis of the KW and ART-XC light curves and the KW spectral data we derive time-averaged spectral peak energy of the burst Ep≈2.6E_p\approx 2.6 MeV, EpE_p at the brightest emission peak ≈3.0\approx 3.0 MeV, the total 20 keV–10 MeV energy fluence of ≈0.22\approx0.22 erg cm−2^{-2}, and the peak energy flux in the same band of ≈0.03\approx 0.03 erg cm−2^{-2} s−1^{-1}. The enormous observed fluence and peak flux imply, at redshift z=0.151z=0.151, huge values of isotropic energy release Eiso≈1.2×1055E_{\mathrm{iso}}\approx1.2\times10^{55} erg (or ≳6.5\gtrsim 6.5 solar rest mass) and isotropic peak luminosity Liso≈3.4×1054L_{\mathrm{iso}}\approx3.4\times10^{54} erg s−1^{-1} (64 ms scale), making GRB 221009A the most energetic and one the most luminous bursts observed since the beginning of the GRB cosmological era in 1997. The isotropic energetics of the burst fit nicely both "Amati" and "Yonetoku" hardness-intensity correlations for >>300 KW long GRBs, implying that GRB~221009A is most likely a very hard, super-energetic version of a "normal" long GRB.

Introduction

Cosmological gamma-ray bursts (GRBs) are thought to be produced by at least two distinct classes of catastrophic events: mergers of binary compact objects, such as two neutron stars or a neutron star and a black hole, typically produce short, ≲2\lesssim2 s, so-called Type I GRBs; the core collapse of massive stars produce typically long (Type II) GRBs. See, e.g., Zhang et al. [84] for more information on the Type I/II classification scheme.

GRBs have been the target of many observational efforts at all wavelengths, from a multitude of space- and ground-based observatories (see [74] for a recent GRB facility review). GRBs occur at a rate of about 1 day−1^{-1} and, with many thousand events observed to date [52, 13, 7, 28, 34, 30, 44, 72, 37], the basic properties of their prompt γ\gamma-ray emissions are well established. The bursts last from a fraction of a second to several thousand seconds, showing a wide range of structures in their light curves and having a typical peak energy in the 100 keV–1 MeV range. The overall observed GRB fluences range from 10−710^{-7} to as high as 10−310^{-3} erg cm−2^{-2}.

The GRB cosmological origin was established about 25 years ago and it became clear that the observed flux corresponds to an enormous emitted energy, making GRBs the most luminous objects in the sky. The measured GRB isotropic-equivalent energy release EisoE_{\mathrm{iso}} and isotropic peak luminosity LisoL_{\mathrm{iso}} have broad distributions [3, 2, 82, 33, 8, 75, 76] and tend to follow a number of empirical correlations between rest-frame parameters of GRB prompt emission, e.g., the “Amati” [3], “Yonetoku” [82] and “Ghirlanda” [29] relations. The most intense GRBs reaching close to Eiso∼1055E_{\mathrm{iso}} \sim10^{55} erg [1, 32, 75] and

Corresponding author: D. Frederiks Liso∼5×1054 erg s−1L_{\rm iso} \sim5 \times10^{54}\ {\rm erg\ s}^{-1} ([27, 70]). An upper limit on GRB isotropic energy has recently been predicted (Eiso∼3.8×1054 ergE_{\rm iso} \sim3.8 \times10^{54}\ {\rm erg}, [17]), which, together with a strong cutoff of the EisoE_{\rm iso} distribution above 1−3×1054 erg1 - 3 \times10^{54}\ {\rm erg}, suggested from the analysis of Konus-WIND and Fermi-GBM samples of GRBs with known redshifts ([8, 75, 76]), imply very rare detections of extremely energetic GRBs. Bright, nearby GRBs provide a unique opportunity to probe the central-engine physics, prompt emission mechanisms, as well as the GRB local environment. So far, only a few such bursts have been observed.

On 2022 October 9 at about 13:17:00 UTC, an extremely intense GRB 221009A was detected by many space-based missions: Fermi (GBM and LAT; [79, 41, 12, 62]), Konus-Wind ([71, 25]), AGILE (MCAL and GRID; [77, 61]), INTEGRAL (SPI-ACS; [31]), Insight-HXMT ([73]), Solar Orbiter (STIX; [81]), Spektr-RG (ART-XC; [40]), GRBAlpha ([67]), SIRI-2 ([55]), GECAM-C ([45]), and BepiColombo (MGNS; [38]). The initial analysis of the burst showed that the prompt emission was so intense that it saturated almost all instruments.

About 53 minutes later, the bright hard X-ray and optical afterglow, initially designated as a transient Swift J1913.1+1946, was detected by the Neil Gehrels Swift Observatory (Burst Alert Telescope, BAT; X-Ray Telescope, XRT; and Ultraviolet/Optical Telescope, UVOT; [22, 39]). The multiwavelength follow-up observations led to detection of bright optical afterglow and spectroscopic redshift determination of z=0.151z = 0.151, which implies a luminosity distance dLd_L of 745 Mpc 1 ([21, 16, 49]). The possible supernova associated with the burst was discovered a few days after the GRB ([10, 20, 11]).

A preliminary analysis of the Konus-WIND (KW) detection revealed that GRB 221009A is the most intense γ\gamma-ray burst observed by the instrument ([25]). The brightness of the main burst episode did not allow to perform the standard KW spectral analysis of the emission. However, with preliminary dead-time corrections applied, a rough estimate of the energy fluence of the 600-s long burst was obtained (∼0.052 erg cm−2\sim0.052\ {\rm erg\ cm}^{-2}), which is the highest value observed for GRBs for 28 years of the KW operation.

The Mikhail Pavlinsky ART-XC telescope (ART-XC) observed GRB 221009A outside its field of view (FoV). The burst signal passed through the telescope’s side shield, but it was clearly visible in all seven detectors. A preliminary analysis showed that the GRB light curve has a complex shape which can be restored with good accuracy ([40]).

In this work, we present the detailed analysis of KW and ART-XC detections of GRB 221009A. Both instruments operate in interplanetary space, in orbits around Lagrange points L1 and L2, respectively, that allowed to observe the burst for its whole duration in stable background conditions. From the KW temporal and spectral data corrected for instrumental effects and the ART-XC light curve data we derive key parameters of GRB 221009A prompt emission in the observer frame, estimate the event energetics in the cosmological rest frame of the source, and discuss this extraordinary burst in the context of the KW sample of long GRBs.

Throughout the paper all errors reported are 90% conf. levels unless otherwise specified. We adopt the conventional notation Qk=Q/10kQ_k = Q/10^k and use cgs units unless otherwise noted.

Observations

Konus-Wind

GRB 221009A triggered KW at T0(KW)=47821.648T_0(KW)=47821.648 s UT (13:17:01.648) on 2022 October 22. The KW trigger time corresponds to the Earth-crossing time T0=47820.401T_0=47820.401 s UT (13:17:00.401) that is ∼0.4\sim0.4 s after the GBM trigger and ∼3200\sim3200 s before the BAT trigger on Swift J1913.1+1946. Throughout the paper, we report all times with respect to this reference point unless otherwise specified.

KW ([5]) consists of two cylindrical NaI(Tl) detectors, S1 and S2, mounted on the opposite sides of the rotationally stabilized Wind spacecraft. The burst triggered S2, with the incident angle of 48\fdg2 and an effective area of 90–150 cm2^2, depending on the photon energy. S1 observed the burst through the spacecraft body and the rear structure of the detector, with the incident angle of 132\fdg8. The attenuation of the burst emission detected in S1 cannot be easily quantified, but unsaturated data from this detector can be used as a reference.

In the triggered detector S2, count rates were recorded by time history analyzers (THA) in three energy bands: G1 (20–80 keV), G2 (80–320 keV), and G3 (320–1220 keV). The record starts at −0.512-0.512 s; where 2-ms resolution light curves are available up to 0.512 s, 16-ms – up to 33.280 s, 64-ms – up to 98.816 s, and 256-ms – up to 229.632 s. Starting from T0T_0, 64 multichannel energy spectra were measured by two pulse-height analyzers: PHA1 (63 channels, 20–1200 keV) and PHA2 (60 channels, 0.4–16.5 MeV). For spectra 1 to 56, the accumulation time varies between 64 ms and 8.192 s. For the last eight spectra, measured from 192.256 s to 257.792 s, the accumulation time is fixed at 8.192 s.

The KW “waiting mode THA” (BGA) data are available in G1, G2, and G3 from both detectors up to 251.371 s, along with the count rates at energies ∼16.5\sim16.5–22 MeV (the Z channel), all with a resolution of 2.944 s. In the interval from 251.371 s, when the measurements were stopped due to the data readout, to ∼5070\sim5070 s, when the waiting mode resumed, only the count rates in G2 are available from S2, with the time resolution of 3.68 s and the very rough quantization of 256 counts per time bin (the “housekeeping THA”, hereafter HGA, data).

The reduction of the light-curve and spectral data is made using standard KW analysis tools and procedures (described, e.g., in Svinkin et al. 2016; Tsvetkova et al. 2017, 2021; Lysenko et al. 2022). Standard KW dead-time (DT) corrections [51] are applied to the time history and spectral data outside the region of the most intense emission, from 216 s to 270 s, where additional flux saturation and pulse-pileup corrections are required (see Appendix A for the details).

For the prompt emission light curves (up to 650 s), we assume a constant background estimated from a preburst interval from -2500 to -150 s, during which count rates in all energy ranges of both KW detectors are consistent with being Poisson distributed. To analyze the burst extended emission on time-scales of tens of ks we use linear background approximations, constructed, for each channel, from time-averaged count rates in two time intervals: 10 ks preceding T0T_0 and from 30 to 40 ks after the trigger. For G2 and G3 these approximations are consistent with the constant background we use for the prompt emission analysis; however, for G1, a slight negative slope is required (mainly due to the activity of bright Galactic X-ray sources).

Background spectra were extracted during a “quiet” time interval from 74 s to 123 s, and the detector energy scale was calibrated using the background spectra. The spectral analysis is performed with XSPEC2 (Arnaud [6]), version 12.11.1, using the χ2\chi^2 statistic and the Band GRB function (Band et al. [9]) if not mentioned otherwise: f(E)∝Eαexp⁡(−(2+α)E/Epeak)f(E) \propto E^\alpha\exp(-(2+\alpha)E/E_{\mathrm{peak}}) for E<Epeak(α−β)/(2+α)E < E_{\mathrm{peak}}(\alpha-\beta)/(2+\alpha), and f(E)∝Eβf(E) \propto E^\beta for E≥Epeak(α−β)/(2+α)E \geq E_{\mathrm{peak}}(\alpha-\beta)/(2+\alpha), where α\alpha is the low-energy photon index, EpE_{\mathrm{p}} is the peak energy in the νFν\nu F_\nu spectrum, and β\beta is the photon index at higher energies. The spectral model is normalized to the energy flux in the 20 keV–10 MeV range, a standard band for the KW GRB spectral analysis.

Spectral lags τlag\tau_{\mathrm{lag}} between the KW light curves are calculated with the method similar to that used in Frederiks et al. [27].

ART-XC

ART-XC is a grazing-incidence-focusing X-ray telescope on board the SRG observatory (Sunyaev et al. [69]). The telescope includes seven independent modules and has an FoV of 36 arcmin in angular diameter. It provides imaging, timing, and spectroscopy in the 4–30 keV energy range with the total effective area of ∼450 cm2\sim450\ \mathrm{cm}^2 at 6 keV, angular resolution of 45′′45^{\prime\prime}, energy resolution of 1.4 keV at 6 keV and timing resolution of 23 μ\mus (Pavlinsky et al. [60]). The primary purpose of ART-XC is to carry out the all-sky survey in hard X-rays with unprecedented sensitivity. At the same time, due to the high sensitivity and wide working energy range of the detectors (4–120 keV), ART-XC is able to detect high-energy events, such as solar flares or GRBs, from any direction in the sky (see, e.g., Levin et al. [43]).3

The instrument detected GRB 221009A at 13:19:55 UT on 2022 October 9. The burst happened outside its FoV, but its emission is well registered with all seven detectors. Due to the strong attenuation of the signal passed through the surrounding matter, ART-XC registers a light-curve shape that is practically not distorted by instrumental effects such as pulse pileup or flux saturation.

The telescope structure is designed in such a way that X-rays from celestial sources as well as cosmic background radiation are completely absorbed if coming not from the FoV. However, GRB 221009A came from about 30 degrees off axis through the lateral surface of the structure of the instrument. This means, that at least in the 4–60 keV energy range it did not detect the direct radiation from the burst, but rather saw high-energy photons, whose energies were converted in the surrounding telescope structure by means of Compton scattering. Therefore, in the following analysis we use all photons registered by ART-XC in the energy range of 4–120 keV and correct count rates on DT and efficiency of CdTl detectors. The data from each module are analyzed separately, and then the results are combined.

Analysis and Results

Figure 1 shows time history of GRB 221009A reconstructed from KW and ART-XC observations. The burst prompt emission has a complex time profile consisting of two distinct emission episodes. It starts with a single initial pulse (IP), which is followed, after a period of quiescence, by an extremely bright emission complex that lasts for ∼460\sim460 s and shows four prominent peaks: P1, at the onset; two huge pulses P2 and P3; and a much longer but less intense P4. After ∼600\sim600 s, the pulsed prompt phase of the burst evolves to a steadily decaying, extended emission tail, which is visible in the KW data for more than 25 ks. Results of the KW spectral analysis are summarized in Table 1.

Overview of GRB 221009A prompt emission as observed by KW and ART-XC

Figure 1. Overview of GRB 221009A prompt emission as observed by KW and ART-XC. The KW background-subtracted light curve, corrected for instrumental effects, is composed of THA, BGA, and HGA count rates in G2 (80–320 keV, the magenta line). The dark green line shows background-subtracted ART-XC light curve in the full energy range 4–120 keV with the resolution of 1 s. Labels indicate the positions of five peaks discussed in the text: the initial pulse (IP) and four prominent peaks P1–P4 during the main phase. The KW triggered-mode data are available for the interval between two vertical dashed lines.

SpectrumTime intervalα\alphaβ\betaEpeakE_{\mathrm{peak}}χ2/dof\chi^2/\mathrm{dof}Fluxa,b^{a,b}
(s)(keV)(erg cm−2^{-2} s−1^{-1})
Initial pulse
1 to 70.000–24.832−1.62−0.04+0.05-1.62^{+0.05}_{-0.04}<2.0<2.0970−330+704970^{+704}_{-330}80/981.03−0.15+0.21×10−61.03^{+0.21}_{-0.15}\times10^{-6}
1 to 50.000–8.448−1.65−0.03+0.03-1.65^{+0.03}_{-0.03}<2.0<2.01495−448+8841495^{+884}_{-448}89/942.58−0.30+0.40×10−62.58^{+0.40}_{-0.30}\times10^{-6}
P1
27 to 58180.480–208.640−1.17−0.02+0.02-1.17^{+0.02}_{-0.02}−2.60−0.12+0.09-2.60^{+0.09}_{-0.12}1011−54+541011^{+54}_{-54}181/973.64−0.04+0.04×10−53.64^{+0.04}_{-0.04}\times10^{-5}
35 to 41186.624–188.416−0.93−0.02+0.02-0.93^{+0.02}_{-0.02}−3.08−0.48+0.27-3.08^{+0.27}_{-0.48}1702−110+1111702^{+111}_{-110}58/791.11−0.05+0.05×10−41.11^{+0.05}_{-0.05}\times10^{-4}
P2
59208.640–216.832−1.33−0.03+0.03-1.33^{+0.03}_{-0.03}−2.40−0.18+0.12-2.40^{+0.12}_{-0.18}981−106+112981^{+112}_{-106}158/933.67−0.09+0.09×10−53.67^{+0.09}_{-0.09}\times10^{-5}
60216.832–225.024−1.18−0.07+0.08-1.18^{+0.08}_{-0.07}−2.49−0.06+0.05-2.49^{+0.05}_{-0.06}2733−133+1412733^{+141}_{-133}60/551.29−0.18+0.20×10−31.29^{+0.20}_{-0.18}\times10^{-3}
61c^{c}225.024–233.216−0.76−0.05+0.05-0.76^{+0.05}_{-0.05}−2.13−0.02+0.02-2.13^{+0.02}_{-0.02}3038−116+1203038^{+120}_{-116}75/591.62−0.09+0.09×10−21.62^{+0.09}_{-0.09}\times10^{-2}
62233.216–241.408−0.86−0.06+0.06-0.86^{+0.06}_{-0.06}−2.78−0.04+0.04-2.78^{+0.04}_{-0.04}1617−32+321617^{+32}_{-32}77/582.17−0.09+0.09×10−32.17^{+0.09}_{-0.09}\times10^{-3}
63241.408–249.600−1.25−0.04+0.04-1.25^{+0.04}_{-0.04}−2.75−0.06+0.05-2.75^{+0.05}_{-0.06}1072−31+321072^{+32}_{-31}85/673.15−0.15+0.15×10−43.15^{+0.15}_{-0.15}\times10^{-4}
P3
64249.600–257.792−0.97−0.06+0.07-0.97^{+0.07}_{-0.06}−2.51−0.04+0.04-2.51^{+0.04}_{-0.04}1886−71+731886^{+73}_{-71}53/568.60−0.12+0.12×10−48.60^{+0.12}_{-0.12}\times10^{-4}
P1 + P2 + P3
27 to 64d^{d}180.480–257.792−0.89−0.05+0.06-0.89^{+0.06}_{-0.05}−2.21−0.02+0.02-2.21^{+0.02}_{-0.02}2660−105+1092660^{+109}_{-105}60/582.22−0.10+0.11×10−32.22^{+0.11}_{-0.10}\times10^{-3}

Table 1. KW spectral fits to the prompt emission spectra with the Band function. a^{a}Averaged over the spectrum accumulation time interval. b^{b}In the 20 keV–10 MeV band. c^{c}“Peak” spectrum, used to calculate the peak energy flux. d^{d}Time-averaged spectrum, used in calculation of the prompt emission fluence.

Initial Pulse (IP)

The light curve of the smooth, FRED-like IP, which triggered KW, resembles that of a typical long GRB. It starts at -1.8 s, peaks at ∼0.8\sim0.8 s and decays to ∼30\sim30 s, with the G2 durations T90T_{90} and T50T_{50} of (29.9 ±\pm 3.9) s and (10.4 ±\pm 1.0) s, respectively.4 The peak count rate is reached at 1.10 ×103\times10^3 counts s−1^{-1} in the 64 ms interval starting from 0.768 s.

A time-averaged spectrum of the IP, measured from T0T_0 to 24.832 s, is best described by an exponentially cut off power-law (CPL), parameterized as EpE_{\mathrm{p}}: f(E)∝Eαexp⁡(−E(2+α)/Ep)f(E) \propto E^\alpha\exp(-E(2+\alpha)/E_{\mathrm{p}}), with α≈−1.62\alpha\approx-1.62 and Ep≈970E_{\mathrm{p}} \approx970 keV. A CPL fit to the spectrum near the peak count rate (from T0T_0 to 8.448 s) is characterized by a similar α≈−1.65\alpha\approx-1.65 and the considerably higher Ep≈1500E_{\mathrm{p}} \approx1500 keV. For both spectra, fits with the Band function are poorly constrained and set only an upper limit on the high-energy photon index (β<−2.0\beta< -2.0). The energy fluence of the IP is (2.56±0.52)×10−5(2.56\pm0.52)\times10^{-5} erg cm−2^{-2} and the 64 ms peak energy flux is (6.20±1.52)×10−5(6.20\pm1.52)\times10^{-5} erg cm−2^{-2} s−1^{-1} (both in the 20 keV–10 MeV energy range).

For the IP, we derived statistically significant spectral lags (τlag\tau_{\mathrm{lag}}) between the 64-ms light curves in G3 and G2 (280 ±\pm 97 ms), and between G3 and G1 light curves (180 ±\pm 86 ms). The positive spectral lags are indicative of hard-to-soft spectral evolution.

The Main Phase

During about 150 s after the end of the IP, the emission barely exceeds the background level, with only a hint of a wide bump around ∼150\sim150 s in the KW light curve. The main phase of the event begins at 175 s with a fast rise of the emission intensity to the peak P1 around 188 s (with the peak count rate of ∼1×104\sim1 \times10^{4} counts s−1^{-1}, or 10×10\times the IP), then temporary decays to ∼2×103\sim2 \times10^{3} counts s−1^{-1} around 208 s, the minimum between P1 and P2. A time-averaged spectrum of this pulse, measured from 180.48 s to 208.64 s is best described by a Band function with α≈−1.17\alpha\approx-1.17, β≈−2.60\beta\approx-2.60 and Ep≈1010E_{\mathrm{p}} \approx1010 keV.

The brightest phase of the burst (from ∼208\sim208 s to ∼280\sim280 s) is shown in Figure 2. Two huge pulses P2 and P3 contain about ∼90%\sim90\% (∼60%\sim60\% and ∼30%\sim30\%, respectively) of the total burst counts recorded in both KW and ART-XC light curves. In the KW G2 band (and in the combined G1+G2+G3 band 20–1220 keV), the enormous peak count rate of ∼9.6×105\sim9.6 \times10^{5} counts s−1^{-1} (∼2.2×106\sim2.2 \times10^{6} counts s−1^{-1}) is reached in a 1 s interval around Tpeak=230T_{\mathrm{peak}} = 230 s, at the second peak of the double-peaked P2. The ART-XC light curve shows a similar pattern, with the 1 s peak count rate of ∼2.7×104\sim2.7 \times10^{4} counts s−1^{-1}. The emission at this phase is not only extremely intense but also spectrally hard: for the first time in KW GRB observations, a statistically significant (>60σ> 60\sigma) excess over the background is detected in the instrument’s Z channel (∼\sim 16.5–22 MeV), which lasts for about 10 s and peaks, at ∼\sim 2400 counts/s, at the same time as the sub-MeV emission.

Brightest phase of GRB 221009A, showing the light curve, spectral peak energy, and photon indices

Figure 2. Brightest phase of GRB 221009A (peaks P2 and P3). The upper panel shows the light curve as seen by KW in G2 (80–320 keV, dead-time and pileup corrected count rate, magenta), ART-XC (dead-time corrected count rate times 35, dark green), and by KW in the Z band (16.5–22 MeV, dead-time corrected count rate times 75, orange/yellow). Middle panel: temporal evolution of the spectral peak energy EpE_{\mathrm{p}} as derived from the KW spectral fits with the Band function (Table 1). Lower panel: the evolution of the model photon indices: low-energy α\alpha (red) and high-energy β\beta (blue). For the spectral parameters, statistical errors are within the data points. Gray points illustrate EpE_{\mathrm{p}} and α\alpha estimates obtained from the KW light-curve data (Appendix A.§ 1).

Spectral fits during the brightest phase are made using the pileup- and saturation-corrected THA (20–1220 keV) and PHA2 (0.4–16.5 MeV) data, and, at the highest peak, the DT-corrected Z-channel data (Figure 3). PHA1 data cannot be used due to the unrecoverable instrumental effects arising at such enormous fluxes (Appendix A.§ 2). The two lower panels in Figure 2 show the spectral evolution of the emission: EpE_{\mathrm{p}} rises from $\sim$1 MeV between P1 and P2 to ∼\sim3 MeV around the peak count rate, then drops back to ∼\sim1 MeV between P2 and P3, and rises again to ∼\sim2 MeV during the first ∼\sim1/3$ of the second huge pulse P3 (the last spectrum measured by KW). The temporal evolution of the low-energy photon index α\alpha shows a similar pattern, which is consistent with a positive correlation between the emission intensity and its spectral hardness.

νFν spectrum at the peak of the prompt emission

Figure 3. νFν\nu F_{\nu} spectrum at the peak of the prompt emission (225 s to 233 s). Blue points represent pileup- and saturation-corrected THA data; orange points: pileup- and saturation-corrected PHA2 data; and the green point - dead-time corrected Z-channel data (16.5–22 MeV). The best spectral fit with the Band function (Table 1) is shown with the solid line.

After the peak of P3 around 260 s the burst intensity starts to drop drastically (nearly to the pre-event level in ART-XC) but then increases again. The final, less bright phase of the prompt emission (P4) has a long (∼\sim 300 s), complicated structure, with the narrow count-rate maximum around 510 s. This part of the event was observed by KW in a single energy band (G2), making its spectral analysis impossible.

For the main phase, and given the relative weakness of IP, for the whole prompt emission, durations T90T_{90} and T50T_{50} in the KW 80–320 keV band are 284.0 ±\pm 3.7 s and 31.1 ±\pm 3.7 s, respectively. Estimated from the ART-XC light curve, the durations are very similar, T90T_{90} = 276.0 ±\pm 5.4 s and T50T_{50} = 31.0 ±\pm 1.4 s.

Observer-frame Energetics in the Prompt Emission

A time-averaged spectrum of the main phase of the prompt emission (180 s to 258 s, Table 1) is best described by a Band function with α≈−0.89\alpha\approx-0.89, β≈−2.21\beta\approx-2.21 and Ep≈2660E_{\mathrm{p}} \approx2660 keV. From this spectrum, the energy fluence measured up to the end of the KW triggered mode is (0.172 ±\pm 0.015) erg cm−2^{-2}. Using the KW count-to-fluence ratio for the last recorded spectrum and assuming that the emission hardness during the remaining part of P3 is not much different, we calculate the overall fluence in P1+P2+P3 to be (0.21 ±\pm 0.017) erg cm−2^{-2}.

The lack of KW spectral data for P4 does not allow us evaluate its fluence directly. Therefore, using the fraction of the total KW counts in this pulse (∼\sim 10%), and under the assumption that emission at this stage is likely softer than in the huge peaks (e.g., [35]), we account for the P4 contribution by adding 5% (≈ 0.01 erg cm−2^{-2}) to the P1+P2+P3 fluence and 2.5% systematic to the uncertainty. As a result, we obtain the total energy fluence of the prompt emission S=(0.22±0.02)S = (0.22 \pm0.02) erg cm−2^{-2} (0 to 600 s, 20 keV–10 MeV).

The spectrum at the brightest emission peak (225.024 – 233.216 s) is best fit with α≈−0.76\alpha\approx-0.76, β≈−2.13\beta\approx-2.13 and Ep≈3040E_{\mathrm{p}} \approx3040 keV. From this spectrum and a peak-to-average count-rate ratio in the combined G1+G2+G3 light curve5 we calculate the 20 keV–10 MeV peak energy flux of the burst Fp=(3.14±0.47)×10−2F_{\mathrm{p}} = (3.14 \pm0.47) \times10^{-2} erg cm−2^{-2} s−1^{-1} (or ∼1.4×104\sim1.4 \times10^{4} photons cm−2^{-2} s−1^{-1}), in a 1-s interval starting from 229.632 s. As for the exceptionally high count rate, the derived FpF_{\mathrm{p}} is the highest among >3500>3500 GRBs detected by the KW so far.

Early Afterglow

The pulsed prompt phase of the burst ends at ∼600\sim600 s, when the light curve evolves to a steadily decaying emission tail, which is below the sensitivity of ART-XC but is visible in the KW data for more than 25 ks (Figure 4a). In the KW G2 band, the decay in the interval from 650 s to 25.7 ks is well described by a simple power law (PL) N(t)∝(t−T0)−αtN(t) \propto(t-T_{0})^{-\alpha_{\mathrm{t}}} with the PL index αt=1.69±0.03\alpha_{\mathrm{t}} = 1.69 \pm0.03 (χ2=16/14\chi^{2}=16/14 dof), while a broken PL (BPL) fit to the data is not constrained.

Early afterglow light curves of GRB 221009A observed by KW

Figure 4. Early afterglow of GRB 221009A observed by KW in the 80–320 keV band. Magenta points: time-averaged HGA data. Orange points: time-averaged BGA data. The interval from 5.1 ks to 25.7 ks (the vertical dotted lines in panel (a)) is used for the late-time spectral fit. Dashed lines in each panel show the best PL (or the best BPL) temporal fit to the data in the interval from 650 s to 25.7 ks after the trigger. Zero time points of the fits are specified in the x-axis labels. The prompt emission light curve (gray solid lines) is shown for the reference.

Starting from 5.1 ks, count rates in all three bands (G1, G2, and G3) are available that allows estimating emission spectrum. From a PL fit to a three-channel spectrum constructed for the time interval from 5.1 ks to 25.7 ks, we obtain the photon index Γ=1.99±0.05\Gamma= 1.99 \pm0.05 and time-averaged flux 1.10−0.08+0.06×10−81.10^{+0.06}_{-0.08} \times10^{-8} erg cm−2^{-2} s−1^{-1} (20–1500 keV). Assuming a PL spectrum with Γ=2\Gamma=2, we estimate the 20 keV–10 MeV energy fluence of the GRB 221009A extended emission from 650 s to 25.7 ks to be (2.15±0.14)×10−3(2.15 \pm0.14) \times10^{-3} erg cm−2^{-2}, or ≈1%\approx1\% of the energy in the prompt phase of the burst. Using the late-time spectrum, we extrapolate KW flux points after ∼5\sim5 ks to the 0.3–10 keV band and find them consistent, within a factor of ∼1.3\sim1.3, with unabsorbed fluxes derived from simultaneous XRT observations6.

The combination of the spectral and temporal behaviors of the steadily decaying emission is in reasonable agreement with that expected at the “normal” (III) phase of the canonical X-ray afterglow ([57, 83, 65]) and supports a scenario in which the bright, extended γ\gamma-ray emission observed by KW is generated by the synchrotron forward-shock mechanism during the normal spherical decay of the afterglow ([53]). It should be noted, however, that the use of T0T_{0}, corresponding to the early and relatively weak precursor, as a zero time point (t0t_{0}) of the bright afterglow can barely be justified, and the decay slope measured at times not much larger than T90T_{90} could be very sensitive to the assumed t0t_{0} (the “t0t_{0} effect”; [83]).

Therefore, in order to characterize the afterglow temporal behavior more precisely and to identify a possible break, we performed temporal PL and BPL fits with t0t_{0} set to several characteristic times in the GRB 221009A light curve: Tpeak=230T_{\mathrm{peak}}=230 s, the peak time of the prompt emission; 370 s, the light-curve minimum between the brightest phase (P2+P3) and the last episode of the prompt emission (P4); 510 s, the peak time of P4; and, finally, 650 s, the time when the steadily decaying afterglow starts to dominate the observed flux.

The results of our fits with different zero time points are presented in Table 2 and Figure 4. The choice of TpeakT_{\mathrm{peak}} as t0t_{0} does not constrain a break and results in a more gentle, as compared to t0=0t_{0}=0, PL slope αt=−1.50±0.04\alpha_{\mathrm{t}}=-1.50 \pm0.04. This index is in perfect agreement with the soft X-ray slope of ≈1.5\approx1.5 between ∼3\sim3 ks and ∼80\sim80 ks ([58, 80]), and it also fits better in the slope range of the “normal” afterglow segment (1<αt<1.51 < \alpha_{\mathrm{t}} < 1.5).

t0t_0Modelαt\alpha_tα1,t\alpha_{1,t}α2,t\alpha_{2,t}tbt_bχ2/dof\chi^2/\mathrm{dof}
0PL1.69−0.03+0.031.69^{+0.03}_{-0.03}.........16/14
230 sPL1.50−0.04+0.041.50^{+0.04}_{-0.04}.........14/14
370 sPL1.36−0.02+0.021.36^{+0.02}_{-0.02}.........23/14
370 sBPL...1.12−0.10+0.101.12^{+0.10}_{-0.10}1.67−0.09+0.121.67^{+0.12}_{-0.09}2200−540+8702200^{+870}_{-540}9/12
510 sPL1.20−0.02+0.021.20^{+0.02}_{-0.02}.........31/14
510 sBPL...0.86−0.08+0.080.86^{+0.08}_{-0.08}1.63−0.09+0.111.63^{+0.11}_{-0.09}1840−370+5501840^{+550}_{-370}8/12
650 sPL0.88−0.01+0.010.88^{+0.01}_{-0.01}.........141/14
650 sBPL...0.51−0.04+0.040.51^{+0.04}_{-0.04}1.58−0.09+0.101.58^{+0.10}_{-0.09}1440−250+3001440^{+300}_{-250}9/12

Table 2. KW temporal power-law fits to the early afterglow.

With the shift of t0t_{0} toward the end of the prompt emission, a broken PL shape becomes preferred by the data: the break significance increases from ∼2.5σ\sim2.5\sigma (t0=370t_{0}=370 s) to ∼4σ\sim4\sigma (t0=510t_{0}=510 s) and ∼10.5σ\sim10.5\sigma (t0=650t_{0}=650 s). In the two latter cases, the combination of a shallow pre-break slope α1,t∼0.51−0.86\alpha_{1,\mathrm{t}} \sim0.51-0.86 and the steeper post-break slope α2,t∼1.6\alpha_{2,\mathrm{t}} \sim1.6 closely resembles that of the transition from the “plateau” (Segment II) to the “normal” phase of the canonical X-ray afterglow. The break positions, located in a narrow time interval of the light curve (2100–2600 s relative to T0T_{0}), are also in the range expected for a break from Segment II to Segment III (103−10410^{3}-10^{4} s). We note, that, using T0+510T_{0}+510 s as a reference time point when fitting the late-time GBM light curve, Lesage et al. [42] obtained a similar index to KW PL index (∼0.82\sim0.82) for the decay from 650 s to 1460 s after the trigger (after that time GRB 221009A is occulted by Earth for Fermi); and also the post-break KW index is consistent with the early soft X-ray slope of ≈1.5\approx1.5 noticed above in this Section.

**Note—**The fits are made in the time interval from 650 s to 25.7 ks and use t0t_0 as a zero time point. The model parameters are as follows: αt\alpha_t is the simple PL index; α1,t\alpha_{1,t} and α2,t\alpha_{2,t} are BPL pre-break and post-break indices, respectively; and tbt_b is the break time (with respect to t0t_0).

Discussion

Prompt Emission in Context

GRB 221009A is the brightest gamma-ray burst observed by KW in almost 30 years of observations. The incident photon flux, peaking at ≳2×106 s−1\gtrsim2 \times10^{6}\ \mathrm{s}^{-1}, was previously exceeded only in KW detections of giant flares from Galactic magnetars SGR 1900+14 (on 1998 August 27; Mazets et al. [51]) and SGR 1806-20 (2004 December 27; Frederiks et al. [26]), and is comparable to that in the extremely bright flare from SGR 1627-41 (1998 June 18; Mazets et al. [50]).

Since the launch in 1994 November and up to 2023 February, KW has detected ∼3570\sim3570 GRBs with virtually no bright GRBs having been missed. About ∼85%\sim85\% of them are long-duration bursts. To compare GRB 221009A with the bright KW GRB population, we have selected ∼150\sim150 long bursts with S≳10−4 erg cm−2S \gtrsim10^{-4}\ \mathrm{erg\ cm}^{-2}. In this sample, GRB 130427A has the largest fluence 3×10−3 erg cm−23 \times10^{-3}\ \mathrm{erg\ cm}^{-2} and GRB 140219A is the brightest in terms of the peak energy flux (1.2×10−3 erg cm−2 s−1)(1.2 \times10^{-3}\ \mathrm{erg\ cm}^{-2}\ \mathrm{s}^{-1}). Ten percent of the most fluent bursts have durations ranging from 10 s (GRB 021206) to 680 s (GRB 160625B) and EpE_p of time-integrated spectra between ∼550\sim550 keV (GRB 160625B) and ∼2500\sim2500 keV (GRB 140219A). The KW ultra-long GRBs (22 bursts with a duration ≳1000\gtrsim1000 s) have moderate spectral hardness, with typical EpE_p of a few hundred keV, which yield moderate fluences below 6×10−4 erg cm−26 \times10^{-4}\ \mathrm{erg\ cm}^{-2}. Thus, GRB 221009A is at the extreme end of the bright GRB population being simultaneously very long-duration and hard-spectrum. A more detailed analysis of GRB 221009A in the context of the bright GRB population is presented in a separate paper (Burns et al. [15]).

Rest-frame Energetics and Prompt Hardness-Intensity Correlations

Using z=0.151z = 0.151, and the values of the total energy fluence SS and the peak energy flux FpF_p in the observer frame (§ 3.3), we estimate the rest-frame energetics of the burst prompt emission. Assuming a Λ\LambdaCDM cosmological model with ΩM=0.308\Omega_M = 0.308, ΩΛ=0.692\Omega_\Lambda= 0.692, and H0=67.8 km s−1 Mpc−1H_0 = 67.8\ \mathrm{km\ s}^{-1}\ \mathrm{Mpc}^{-1} (Planck Collaboration et al. [63]), EisoE_{\mathrm{iso}} is (1.2±0.1)×1055 erg(1.2 \pm0.1) \times10^{55}\ \mathrm{erg}, and the peak isotropic luminosity LisoL_{\mathrm{iso}} is (2.1±0.4)×1054 erg s−1(2.1 \pm0.4) \times10^{54}\ \mathrm{erg\ s}^{-1} (on the 1 s scale). By applying a typical, for KW long GRBs, 1024 ms FpF_p to 64 ms FpF_p conversion factor of 1.71, the 64 ms LisoL_{\mathrm{iso}} is estimated to be (3.4±0.5)×1054 erg s−1(3.4 \pm0.5) \times10^{54}\ \mathrm{erg\ s}^{-1}. The reported energetics are calculated in the bolometric rest-frame range 1 keV–

10 MeV. Derived from the observer-frame EpE_{\mathrm{p}} values (§ 3.3), the rest-frame spectral peak energies (1+z)Ep(1+z)E_{\mathrm{p}} are Ep,i,z≈2900E_{\mathrm{p,i,z}} \approx2900 keV (time-averaged) and Ep,p,z≈3500E_{\mathrm{p,p,z}} \approx3500 keV (at the peak luminosity).

These estimates make GRB 221009A the most energetic and the third-most luminous7 γ\gamma-ray burst observed since the beginning of the cosmological era in 1997. Figure 5 shows EisoE_{\mathrm{iso}} and LisoL_{\mathrm{iso}} for GRB 221009A along with the KW sample of more than 300 long GRBs with known redshifts ([75, 76]). In the rest-frame hardness-intensity plane Ep,i,z−EisoE_{\mathrm{p,i,z}}-E_{\mathrm{iso}} GRB 221009A lies inside the 68% prediction interval of the “Amati” relation for the KW sample. Likewise, in the Ep,p,z−LisoE_{\mathrm{p,p,z}}-L_{\mathrm{iso}} plane, the burst perfectly fits the “Yonetoku” relation. From this, we conclude that GRB 221009A is most likely a very rare, very hard, super-energetic version of a “normal” long GRB.

Rest-frame energetics of GRB 221009A in the $E_{\mathrm{p,i,z}}$–$E_{\mathrm{iso}}$ and $E_{\mathrm{p,p,z}}$–$L_{\mathrm{iso}}$ planes

Figure 5. Rest-frame energetics of GRB 221009A in the Ep,i,zE_{\mathrm{p,i,z}}–EisoE_{\mathrm{iso}} and Ep,p,zE_{\mathrm{p,p,z}}–LisoL_{\mathrm{iso}} planes (stars). The rest-frame parameters of 315 long KW GRBs with known redshifts ([76]) are shown with circles; the color of each data point represents the burst’s redshift. The ‘Amati’ and ‘Yonetoku’ relations for this sample are plotted with dashed lines and the dark- and light-grey shaded areas show their 68% and 90% prediction intervals, respectively. The error bars are not shown here for reasons of clarity.

Fundamental Plane Correlation between Prompt and Afterglow Emissions

In Section 3.4 we show that, with the zero time point shifted close to the end of the prompt emission, the broken power-law behavior of the bright, early γ\gamma-ray afterglow observed by KW can be interpreted as the transition from Segment II (plateau phase) to Segment III (normal spherical decay phase) of the canonical X-ray afterglow. Based on this assumption, we test the rest-frame parameters of the prompt emission and the early afterglow against a 3-dimensional relation between the peak prompt luminosity LpeakL_{\mathrm{peak}}, the rest-frame time at the end of the X-ray plateau TX∗T_X^*, and its corresponding luminosity in X-rays LXL_X: the so-called 3D Dainotti fundamental plane relation ([18, 19]). Given the most significant break position (tb=1440t_b = 1440 s; t0=650t_0 = 650 s), TX∗=tb/(1+z)T_X^* = t_b/(1+z) is ∼1250\sim1250 s and LX=4πdL2FX=4.0×1049 erg s−1L_X = 4\pi d_L^2 F_X = 4.0 \times10^{49}\ \mathrm{erg\ s^{-1}}, where FX=6.0×10−7 erg cm−2 s−1F_X = 6.0 \times10^{-7}\ \mathrm{erg\ cm^{-2}\ s^{-1}} is the X-ray flux at tbt_b, extrapolated from the KW band to the 0.3–10 keV band using the late-time KW spectrum8.

Using TX∗T_X^*, LXL_X, and Lpeak=LisoL_{\mathrm{peak}} = L_{\mathrm{iso}} (1-s scale), we calculate a distance from GRB 221009A to the fundamental plane for the full sample of 222 GRBs studied in Dainotti et al. [19] and to the planes for its “gold“ (65 GRBs) and “long GRB” (129 events) subsamples. In each case, we find the distance within 1 sigma scatter of the tested relation, with the best agreement achieved for the “gold“ and long GRB fundamental planes. This further supports the consistency of GRB 221009A properties with the less-energetic long GRB population.

Collimation-corrected Energy and Central Engine

Long GRBs are thought to originate in the collapse of massive stars (Paczyński [59]; MacFadyen & Woosley [48]). The most widely discussed models of central engines are newborn, rapidly rotating compact objects, such as magnetars and black holes emitting highly collimated, ultra-relativistic jets (fireballs). When the tightly collimated relativistic fireball is decelerated by the circumburst medium (CBM) down to the Lorentz factor ≈1/θjet\approx1/\theta_{\mathrm{jet}} (θjet\theta_{\mathrm{jet}} is the jet opening angle), an achromatic break (jet break) should appear, in the form of a sudden steepening in the GRB afterglow light curve, at a characteristic time tjett_{\mathrm{jet}}. When the opening angle of the jetted outflow is known, the isotropic-equivalent energetics can be converted to the more accurate collimation-corrected energetics (Sari et al. [68]).

Given Eiso=1.2×1055 ergE_{\mathrm{iso}} = 1.2 \times10^{55}\ \mathrm{erg} and assuming a top-hat jet, the total collimation-corrected energy of GRB 221009A is EK≈1053 erg tjet3/4(ηγ/0.2)−3/4n01/4E_K \approx10^{53}\ \mathrm{erg}\ t_{\mathrm{jet}}^{3/4}(\eta_\gamma/0.2)^{-3/4}n_0^{1/4}, where n0n_0 is the medium number density, ηγ\eta_\gamma is the radiative efficiency of the prompt phase, and tjett_{\mathrm{jet}} is measured in days. Although extensive multiwavelength follow-up of GRB 221009A did not reveal an apparent achromatic break in the afterglow light curve, a number of θjet\theta_{\mathrm{jet}} estimates are reported, ranging from 0.7∘0.7^\circ to >10.7∘>10.7^\circ (Kann et al. [36]; O’Connor et al. [58]; Negro et al. [56]; Williams et al. [80]; An et al. 2023), which, assuming typical ηγ=0.2\eta_\gamma= 0.2 and n0=1 cm−3n_0 = 1\ \mathrm{cm^{-3}}, imply EKE_K from ∼5×1051\sim5 \times10^{51} to ∼5×1053\sim5 \times10^{53} and even higher.

The magnetar central-engine model, where the GRB is powered by a newborn, fast-rotating magnetar, predicts EKE_K below few ×1052 erg\times10^{52}\ \mathrm{erg} (see, e.g., Metzger et al. [54]), while the accreting black hole models extend the limit on the GRB total energetics up to 1054 erg10^{54}\ \mathrm{erg} (see, e.g., van Putten & Della Valle [78]). For GRB 221009A to match the total released energy consistent with the predictions of the black hole central-engine model a collimation correction factor of ≳10\gtrsim10 is required, corresponding to a top-hat jet half-opening angle constraint of θjet<25∘\theta_{\mathrm{jet}} < 25^\circ, or tjet≲30t_{\mathrm{jet}} \lesssim30 days. The structured jet model suggested by O’Connor et al. [58] allows even lower total energy of the explosion, below ∼1053 erg\sim10^{53}\ \mathrm{erg}, which may fit magnetar central-engine models. Thus, despite the enormous isotropic energy implied, an energy budget of GRB 221009A can still be explained within standard scenario for the central engine/progenitor of long GRBs.

A more detailed discussion of GRB 221009A collimated energetics is presented in Burns et al. [15], including in the context of the KW sample.

Emission Feature around 10 MeV

Ravasio et al. [66], hereafter R23, analyzed Fermi/GBM spectral data outside the time interval affected by saturation (called Bad Time Interval, BTI; 219–277 s after the GBM trigger) and discovered a highly significant narrow emission feature on top of the prompt emission continuum. The spectral line, modeled by a Gaussian with a roughly constant width ∼1 MeV\sim1\ \mathrm{MeV} and a central energy ElineE_{\mathrm{line}} decreasing in time from ∼12.5\sim12.5 to ∼6 MeV\sim6\ \mathrm{MeV}, is detected at >6σ>6\sigma in the interval from 280 s to 320 s (the decay phase of the second huge pulse P3) and nondetected before BTI (including the interval 184–216 s at the rising front of the brightest phase of the burst). R23 interpret this feature as a blue-shifted electron-positron annihilation line of relatively cold electron-positron pairs, which could have formed within the jet region where the brightest pulses of the GRB were produced.

Among the many γ\gamma-ray detectors that observed GRB 221009A KW is one of the few instruments capable of making detailed spectral measurements at energies around 10 MeV and its independent identification of the spectral line reported from GBM data would be of obvious importance. Unfortunately, the time span of KW spectral measurements ends ∼20\sim20 s before the time range of the spectral line detection reported in R23. However, KW spectral data on the brightest part of the burst, corrected for pileups and saturations, can be tested for the presence of a similar spectral feature.

We visually inspect best-fit residuals for five KW spectra covering the interval from 217 s to 257 s, and only in one, measured at the very peak of the emission (225 s to 233 s), we find a marginal (≲2σ\lesssim2\sigma) excess in the count rate over the fitted continuum in the region around 10 MeV. Although this excess is not alone in this spectrum (there is another one around 1.8 MeV), and the systematic variations in the fit residuals may be, among other reasons, due to a spectral evolution of the emission during the 8-s accumulation interval, we analyze the spectrum for the presence of a statistically significant feature similar to that of R23.

For this purpose, we model the excess by adding a Gaussian line (XSPEC model gauss), with initial Eline=10E_{\mathrm{line}}=10 MeV and width fixed to 1 MeV9, to the best-fit continuum for this spectrum. Our fit with the combined model results at only a marginal improvement in the statistic (Δχ2=6.7\Delta\chi^2=6.7 for two additional dofs) in Eline=14.65−0.69+0.86E_{\mathrm{line}}=14.65^{+0.86}_{-0.69} MeV and the total photon flux in the line of 5.9−2.3+2.45.9^{+2.4}_{-2.3} ph cm−2^{-2} s−1^{-1}, which implies the line isotropic luminosity Lline∼9.2±3.8×1051L_{\mathrm{line}}\sim9.2\pm3.8\times10^{51} erg s−1^{-1}. We estimate the improvement significance by applying the Akaike Information Criterion (see, e.g., [14]), the method employed by R23, and find that the addition of the Gaussian line to the model results in only a small decrease in the value of the criterion ΔAIC≈2.7\Delta\mathrm{AIC}\approx2.7 that corresponds to <1σ<1\sigma significance of the improvement.

Nevertheless, we note that the estimated line central energy fits well the decaying trend of ElineE_{\mathrm{line}} reported in R23, and the implied ratio Lline,51/(Eline/MeV)∼0.63L_{\mathrm{line},51}/(E_{\mathrm{line}}/\mathrm{MeV})\sim0.63 is in the range, predicted at times close to the emission peak by one of the emission scenarios explored by the authors, which involves high-latitude emission (HLE) from the shell that produced the most luminous pulse in the GRB light curve.

This work is supported by RSF grant 21-12-00250. S.M. and A.A.L. acknowledge the support by the RFBR grant 19-29-11029 in the part of the ART-XC data analysis. This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester.

Facilities: Wind (Konus), SRG (ART-XC)

Appendix

A Konus-WIND Data Corrections

Light Curves

A standard Konus-Wind dead-time (DT) correction procedure for light curves is a simple non-paralyzable DT correction in each of the measurement bands, with a dead time τ\tau of ∼4μ\sim4\mus, taking into account a softer gate blocking by harder ones. This method, based on a relation 1/n+1/N=τ1/n+1/N=\tau between the total photon flux NN incident on the detector (assuming 100% detection efficiency) and the recorded count rate nn, provides a robust flux estimate for N≲1/τN\lesssim1/\tau (∼2.5×105\sim2.5\times10^5 cts s−1^{-1}). At N≫1/τN\gg1/\tau nn ceases to depend on NN (saturates) and the standard DT correction becomes ineffective.

At very high incident fluxes, pulse pileups in detector electronics lead to multiple analog and digital distortion effects that require special efforts to correctly reconstruct the time history of the event and the energy spectra. The instrument response to fluxes up to 106−10710^6-10^7 cts s−1^{-1} of various incident photon spectra was studied in laboratory experiments with strong radioactive and X-ray sources, as well as in Monte Carlo simulations of KW analog and digital electronics behavior ([51]). It was found that the pattern of the pileup-distorted n(N)n(N) relations for each of the three energy bands G1, G2, and G3 is strongly sensitive to the shape of the incident photon spectrum. Hence, by comparing the behavior of observed rates g1,2,3g_{1,2,3} (in G1, G2, and G3, respectively) with the n1,2,3(N)n_{1,2,3}(N) dependencies obtained from simulations for different energy spectra, one can reliably reconstruct not only the incident emission intensity but also its spectral shape. Based on this approach, deconvolution procedures were developed that allowed, e.g., to successfully recover time histories and energy spectra of extremely bright magnetar flares ([50 b]).

To reconstruct GRB 221009A light curves in the triggered detector S2 at the peak of the emission, we, following the approach of Mazets et al. [51], performed Monte Carlo simulations for various incident count fluxes NN and Band-shaped photon spectra, forward-folded with the detector response matrix. From the simulations, we obtained a database of ∼10,000\sim10{,}000 ni(N,α,β,Ep)n_i(N,\alpha,\beta,E_{\mathrm{p}}) dependencies for NN up to ∼4×107 s−1\sim4 \times10^{7}\ \mathrm{s}^{-1}, α\alpha in range (−1.8,+1.0)(-1.8,+1.0), β\beta in range (−3.0,−2.0)(-3.0,-2.0), and EpE_{\mathrm{p}} in the range from 500 keV to 4.5 MeV. Then, for each time bin in the interval from 216 s to 250 s, we searched the database for the best match of a simulated triplet n1,2,3(N,α,β,Ep)n_{1,2,3}(N,\alpha,\beta,E_{\mathrm{p}}) and the measured rates g1,2,3(t)g_{1,2,3}(t) by minimizing the sum in quadrature of normalized differences (ni(N,α,β,Ep)−gi(t))/gi(t)(n_i(N,\alpha,\beta,E_{\mathrm{p}})-g_i(t))/g_i(t). In order to reduce the number of free spectral parameters in the search, β(t)\beta(t) was fixed to that obtained from a preliminary fit to the corresponding multichannel spectrum in the PHA2 band (0.4–16.5 MeV); this approach is justified by the fact that the hard end of the KW instrumental spectrum (at energies above ∼2\sim2–4 MeV) remains nearly undistorted by pileups, and hence, the high-energy spectral index can be estimated independently. In a case of ambiguous identification, we manually selected the best-solution parameters (N,α,Ep)(N,\alpha,E_{\mathrm{p}}) using the following criteria. First, the variation of the emission intensity (NN) over time had to follow its general course in the second KW detector S1, for which, for this GRB, saturation and pileup effects are negligible due to the emission absorption in the Wind body and the rear structure of the detector. Second, we aimed to achieve smooth variations in the spectral parameters α\alpha and EpE_{\mathrm{p}} over time. Finally, using the best-solution parameters (α(t),β(t),Ep(t))(\alpha(t),\beta(t),E_{\mathrm{p}}(t)), we calculated a Band-shaped spectrum, normalized on the incident count flux N(t)N(t) in the whole instrument energy range, and reconstructed count rates Gi(t)G_i(t) were calculated, from this spectrum, as count fluxes in the corresponding energy band GiG_i.

As a result, we obtained the reconstructed incident count rates as well as time-resolved estimates of the spectral parameters (illustrated in Figure 2). To estimate uncertainties in these values, we performed simulations by varying (assuming Poisson-distributed counts) the measured rates for several time bins. The resulting variations in the best-solution parameters do not exceed ∼0.15\sim0.15 for α\alpha, ∼10%\sim10\% for EpE_{\mathrm{p}}, and about 18% for the flux NN.

Multichannel Spectra

A standard Konus-Wind dead-time correction procedure for multichannel spectra is similar to that for the light curves, but with about 10 times longer τ≈42 μs\tau\approx42\ \mu\mathrm{s}. Accordingly, count rate saturations in PHA1 and PHA2 are not negligible at N≳2.4×104 s−1N \gtrsim2.4 \times10^{4}\ \mathrm{s}^{-1}, and pileup corrections become necessary at N≳5×104 s−1N \gtrsim5 \times10^{4}\ \mathrm{s}^{-1} (in the corresponding spectral band). The influence of the pileup effect on KW spectra was examined in studies of powerful solar flares (Lysenko et al. [46, 47]). An iterative correction method for pileup-distorted spectra was developed that allowed, e.g., to recover, at incident count rates up to ∼2×105 cts s−1\sim2 \times10^{5}\ \mathrm{cts\ s}^{-1}, steep, broken power-law spectral shapes to the accuracy of ∼0.1\sim0.1 in the spectral indices and ∼10\sim10 keV in the break energy. In these studies, spectral shape corrections were applied to PHA1 (20–1200 keV), whereas the flux was corrected using joint spectral fits with nearly undistorted and unsaturated spectra in the PHA2 range (0.4–16.5 MeV).

For GRB 221009A, both saturation and pileup corrections are necessary to three 8.192-s long spectra measured from 216.832 s to 241.408 s after the trigger. In this time interval, a huge incident flux in the PHA1 band (up to millions counts/s) makes corrections with a method similar to that of Lysenko et al. [46] very difficult, if not impossible. However, such a procedure is still applicable to spectra in the PHA2 band, where incident rates do not exceed ∼3×105 cts s−1\sim3 \times10^{5}\ \mathrm{cts\ s}^{-1}, but an “external” normalization is still required to correct the deeply saturated measured flux. The flux corrections were performed by simultaneous fits of the shape-corrected PHA2 spectra with three spectral points in the 20–1200 keV band, constructed from the light-curve data, which were corrected independently (see Appendix A.§ 1).

For the spectrum at the peak of the emission (225.024–233.216 s after the trigger), an additional spectral point is available from the unsaturated Z-channel data (16.5–22 MeV), thus providing an independent reference at the higher energies. For this spectrum, joint fits were made to three data sets: THA+PHA2; PHA2+Z; and THA+PHA2+Z. The fits result in very similar spectral parameters and fluxes, which confirms the correctness of our approach to recover both the pileup-distorted shape of the spectrum and the saturated incident flux.

References

  1. [1]Abdo, A. A., Ackermann, M., Arimoto, M., et al. 2009, Science, 323, 1688
  2. [2]Amati, L., Guidorzi, C., Frontera, F., et al. 2008, MNRAS, 391, 577
  3. [3]Amati, L., Frontera, F., Tavani, M., et al. 2002, A&A, 390, 81
  4. [5]Aptekar, R. L., Frederiks, D. D., Golenetskii, S. V., et al. 1995, SSRv, 71, 265
  5. [6]Arnaud, K. A. 1996, in Astronomical Society of the Pacific Conference Series, Vol. 101, Astronomical Data Analysis Software and Systems V, ed. G. H. Jacoby & J. Barnes, 17
  6. [7]Atteia, J. L., Boër, M., & Hurley, K. 1999, A&AS, 138, 421
  7. [8]Atteia, J. L., Heussaff, V., Dezalay, J. P., et al. 2017, ApJ, 837, 119
  8. [9]Band, D., Matteson, J., Ford, L., et al. 1993, ApJ, 413, 281
  9. [10]Belkin, S., Kim, V., Pozanenko, A., et al. 2022a, GRB Coordinates Network, 32769, 1
  10. [11]Belkin, S., Moskvitin, A., Kim, V., et al. 2022b, GRB Coordinates Network, 32818, 1
  11. [12]Bissaldi, E., Omodei, N., Kerr, M., & Fermi-LAT Team. 2022, GRB Coordinates Network, 32637, 1
  12. [13]Briggs, M. S., Paciesas, W. S., Pendleton, G. N., et al. 1996, ApJ, 459, 40
  13. [14]Burnham, K. P., & Anderson, D. R. 2004, Sociological Methods & Research, 33, 261
  14. [15]Burns, E., Svinkin, D., Fenimore, E., et al. 2023, ApJL, 946, L31
  15. [16]Castro-Tirado, A. J., Sanchez-Ramirez, R., Hu, Y. D., et al. 2022, GRB Coordinates Network, 32686, 1
  16. [17]Dado, S., & Dar, A. 2022, ApJL, 940, L4
  17. [18]Dainotti, M. G., Hernandez, X., Postnikov, S., et al. 2017, ApJ, 848, 88
  18. [19]Dainotti, M. G., Lenart, A. L., Sarracino, G., et al. 2020, ApJ, 904, 97
  19. [20]de Ugarte Postigo, A., Izzo, L., Thoene, C. C., et al. 2022a, GRB Coordinates Network, 32800, 1
  20. [21]de Ugarte Postigo, A., Izzo, L., Pugliese, G., et al. 2022b, GRB Coordinates Network, 32648, 1
  21. [22]Dichiara, S., Gropp, J. D., Kennea, J. A., et al. 2022, GRB Coordinates Network, 32632, 1
  22. [23]Evans, P. A., Beardmore, A. P., Page, K. L., et al. 2007, A&A, 469, 379
  23. [25]Frederiks, D., Lysenko, A., Ridnaiа, A., et al. 2022, GRB Coordinates Network, 32668, 1
  24. [26]Frederiks, D. D., Golenetskii, S. V., Palshin, V. D., et al. 2007, Astronomy Letters, 33, 1
  25. [27]Frederiks, D. D., Hurley, K., Svinkin, D. S., et al. 2013, ApJ, 779, 151
  26. [28]Frontera, F., Guidorzi, C., Montanari, E., et al. 2009, ApJS, 180, 192
  27. [29]Ghirlanda, G., Nava, L., Ghisellini, G., & Firmani, C. 2007, A&A, 466, 127
  28. [30]Goldstein, A., Preece, R. D., Mallozzi, R. S., et al. 2013, ApJS, 208, 21
  29. [31]Götz, D., Mereghetti, S., Savchenko, V., et al. 2022, GRB Coordinates Network, 32660, 1
  30. [32]Greiner, J., Clemens, C., Krühler, T., et al. 2009, A&A, 498, 89
  31. [33]Gruber, D., Greiner, J., von Kienlin, A., et al. 2011, A&A, 531, A20
  32. [34]Guidorzi, C., Lacapra, M., Frontera, F., et al. 2011, A&A, 526, A49
  33. [35]Kann, D. A., & Agui Fernandez, J. F. 2022, GRB Coordinates Network, 32762, 1
  34. [36]Kann, D. A., Agayeva, S., Aivazyan, V., et al. 2023, arXiv e-prints, arXiv:2302.06225DOI
  35. [37]Kozlova, A. V., Svinkin, D. S., Lysenko, A. L., et al. 2019, in Journal of Physics Conference Series, Vol. 1400, Journal of Physics Conference Series, 022014
  36. [38]Kozyrev, A. S., Golovin, D. V., Litvak, M. L., et al. 2022, GRB Coordinates Network, 32805, 1
  37. [39]Krimm, H. A., Barthelmy, S. D., Dichiara, S., et al. 2022, GRB Coordinates Network, 32688, 1
  38. [40]Lapshov, I., Molkov, S., Mereminskiy, I., et al. 2022, GRB Coordinates Network, 32663, 1
  39. [41]Lesage, S., Veres, P., Roberts, O. J., et al. 2022, GRB Coordinates Network, 32642, 1
  40. [42]Lesage, S., Veres, P., Briggs, M. S., et al. 2023, arXiv e-prints, arXiv:2303.14172DOI
  41. [43]Levin, V., Molkov, S., Mereminskiy, I., et al. 2021, GRB Coordinates Network, 30283, 1
  42. [44]Lien, A., Sakamoto, T., Barthelmy, S. D., et al. 2016, ApJ, 829, 7
  43. [45]Liu, J. C., Zhang, Y. Q., Xiong, S. L., et al. 2022, GRB Coordinates Network, 32751, 1
  44. [46]Lysenko, A. L., Anfinogentov, S. A., Svinkin, D. S., Frederiks, D. D., & Fleishman, G. D. 2019, ApJ, 877, 145
  45. [47]Lysenko, A. L., Ulanov, M. V., Kuznetsov, A. A., et al. 2022, ApJS, 262, 32
  46. [48]MacFadyen, A. I., & Woosley, S. E. 1999, ApJ, 524, 262
  47. [49]Malesani, D. B., Levan, A. J., Izzo, L., et al. 2023, arXiv e-prints, arXiv:2302.07891DOI
  48. [50]Mazets, E. P., Aptekar, R. L., Butterworth, P. S., et al. 1999a, ApJL, 519, L151
  49. [51]Mazets, E. P., Cline, T. L., Aptekar, R. L., et al. 1999b, Astronomy Letters, 25, 635
  50. [52]Mazets, E. P., Golenetskii, S. V., Ilinskii, V. N., et al. 1981, Ap&SS, 80, 3
  51. [53]Mészáros, P., & Rees, M. J. 1997, ApJ, 476, 232
  52. [54]Metzger, B. D., Giannios, D., Thompson, T. A., Bucciantini, N., & Quataert, E. 2011, MNRAS, 413, 2031
  53. [55]Mitchell, L. J., Philips, B. F., & Johnson, W. N. 2022, GRB Coordinates Network, 32746, 1
  54. [56]Negro, M., Di Lalla, N., Omodei, N., et al. 2023, ApJL, 946, L21
  55. [57]Nousek, J. A., Kouveliotou, C., Grupe, D., et al. 2006, ApJ, 642, 389
  56. [58]O’Connor, B., Troja, E., Ryan, G., et al. 2023, arXiv e-prints, arXiv:2302.07906arxiv.org/abs/2302.07906
  57. [59]Paczyński, B. 1998, ApJL, 494, L45
  58. [60]Pavlinsky, M., Tkachenko, A., Levin, V., et al. 2021, A&A, 650, A42
  59. [61]Piano, G., Verrecchia, F., Bulgarelli, A., et al. 2022, The Astronomer’s Telegram, 15662, 1
  60. [62]Pillera, R., Bissaldi, E., Omodei, N., et al. 2022, GRB Coordinates Network, 32658, 1
  61. [63]Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. 2016, A&A, 594, A13
  62. [64]Planck Collaboration, Aghanim, N., Akrami, Y., et al. 2020, A&A, 641, A6
  63. [65]Racusin, J. L., Liang, E. W., Burrows, D. N., et al. 2009, ApJ, 698, 43
  64. [66]Ravasio, M. E., Sharan Salafia, O., Oganesyan, G., et al. 2023, arXiv e-prints, arXiv:2303.16223arxiv.org/abs/2303.16223
  65. [67]Ripa, J., Pal, A., Werner, N., et al. 2022, GRB Coordinates Network, 32685, 1
  66. [68]Sari, R., Piran, T., & Halpern, J. P. 1999, ApJL, 519, L17
  67. [69]Sunyaev, R., Arefiev, V., Babyshkin, V., et al. 2021, A&A, 656, A132
  68. [70]Svinkin, D., Golenetskii, S., Frederiks, D., et al. 2021, GRB Coordinates Network, 30276, 1
  69. [71]Svinkin, D., Frederiks, D., Ridnaia, A., et al. 2022, GRB Coordinates Network, 32641, 1
  70. [72]Svinkin, D. S., Frederiks, D. D., Aptekar, R. L., et al. 2016, ApJS, 224, 10
  71. [73]Tan, W. J., Li, C. K., Ge, M. Y., et al. 2022, The Astronomer’s Telegram, 15660, 1
  72. [74]Tsvetkova, A., Svinkin, D., Karpov, S., & Frederiks, D. 2022, Universe, 8, 373
  73. [75]Tsvetkova, A., Frederiks, D., Golenetskii, S., et al. 2017, ApJ, 850, 161
  74. [76]Tsvetkova, A., Frederiks, D., Svinkin, D., et al. 2021, ApJ, 908, 83
  75. [77]Ursi, A., Panebianco, G., Pittori, C., et al. 2022, GRB Coordinates Network, 32650, 1
  76. [78]van Putten, M. H. P. M., & Della Valle, M. 2017, MNRAS, 464, 3219
  77. [79]Veres, P., Burns, E., Bissaldi, E., et al. 2022, GRB Coordinates Network, 32636, 1
  78. [80]Williams, M. A., Kennea, J. A., Dichiara, S., et al. 2023, ApJL, 946, L24
  79. [81]Xiao, H., Krucker, S., & Daniel, R. 2022, GRB Coordinates Network, 32661, 1
  80. [82]Yonetoku, D., Murakami, T., Nakamura, T., et al. 2004, ApJ, 609, 935
  81. [83]Zhang, B., Fan, Y. Z., Dyks, J., et al. 2006, ApJ, 642, 354
  82. [84]Zhang, B., Zhang, B.-B., Virgili, F. J., et al. 2009, ApJ, 703, 1696

Paper details

vlnc:W_rcnfg79s
v1 · latestHistory (1)

published · Fresh — added to the Hub within the last 30 days

added ·

Usage

views · 0

downloads · 0

A view counts once per browser per day, a download each time the PDF is requested.

CC BY 4.0

Original source

  • Physics and Astronomy

Not recorded for this paper · View statement →

Looking for related papers…
Contents