2021
DOI: 10.1007/s10686-021-09763-3
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Gamma ray burst studies with THESEUS

Abstract: Gamma-ray Bursts (GRBs) are the most powerful transients in the Universe, over–shining for a few seconds all other γ-ray sky sources. Their emission is produced within narrowly collimated relativistic jets launched after the core–collapse of massive stars or the merger of compact binaries. THESEUS will open a new window for the use of GRBs as cosmological tools by securing a statistically significant sample of high-z GRBs, as well as by providing a large number of GRBs at low–intermediate redshifts extending t… Show more

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Cited by 17 publications
(14 citation statements)
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“…For the spectral lag calculation, we then restricted the following analysis to the time interval [−0.5:4] s and calculated the cross-correlation function (CCF) between the backgroundsubtracted profiles of the two energy bands, using both the original binning of 1 ms and that of 16 ms. A positive lag corresponds to the softer band lagging behind the harder one. The peak of the CCF was found to be about 100 ms. To provide a more accurate estimate, we fitted the CCF around the peak with a third-degree polynomial between −0.4 and 0.6 s and it gave 95 ms. To estimate the uncertainty, we carried out the following simulations: starting from the 16 ms profiles, we obtained smooth versions of these curves by adopting the L1 trend filtering by Politsch et al (2020) properly adapted to modeling GRB light curves (e.g., see Ghirlanda et al 2021). We then obtained 1000 random realizations of both profiles by assuming uncorrelated Poisson noise, assuming the total expected count for each temporal bin (i.e., the interpolated background plus the smoothed GRB signal).…”
Section: Appendix Spectral Lagmentioning
confidence: 99%
“…For the spectral lag calculation, we then restricted the following analysis to the time interval [−0.5:4] s and calculated the cross-correlation function (CCF) between the backgroundsubtracted profiles of the two energy bands, using both the original binning of 1 ms and that of 16 ms. A positive lag corresponds to the softer band lagging behind the harder one. The peak of the CCF was found to be about 100 ms. To provide a more accurate estimate, we fitted the CCF around the peak with a third-degree polynomial between −0.4 and 0.6 s and it gave 95 ms. To estimate the uncertainty, we carried out the following simulations: starting from the 16 ms profiles, we obtained smooth versions of these curves by adopting the L1 trend filtering by Politsch et al (2020) properly adapted to modeling GRB light curves (e.g., see Ghirlanda et al 2021). We then obtained 1000 random realizations of both profiles by assuming uncorrelated Poisson noise, assuming the total expected count for each temporal bin (i.e., the interpolated background plus the smoothed GRB signal).…”
Section: Appendix Spectral Lagmentioning
confidence: 99%
“…Using the intrinsic GRB rate and the corresponding luminosity function for each theoretical model, we estimate the expected Swift/BAT GRB detection rate. For the GRB spectral shape, we adopt a Band function with E peak , α, and β following distributions described in Ghirlanda et al (2015Ghirlanda et al ( , 2021. Note that the E peak from Ghirlanda et al (2021) follows the Amati E peak −L relationship, implying a harder spectrum for a more luminous burst.…”
Section: Calibrating and Comparing Models To Current Datamentioning
confidence: 99%
“…For the GRB spectral shape, we adopt a Band function with E peak , α, and β following distributions described in Ghirlanda et al (2015Ghirlanda et al ( , 2021. Note that the E peak from Ghirlanda et al (2021) follows the Amati E peak −L relationship, implying a harder spectrum for a more luminous burst.…”
Section: Calibrating and Comparing Models To Current Datamentioning
confidence: 99%
“…Using the intrinsic GRB rate and the corresponding luminosity function for each theoretical model, we estimate the expected Swift/BAT GRB detection rate. For GRB spectral shape, we adopt a Band function with E peak , α, and β following distributions described in Ghirlanda et al (2015Ghirlanda et al ( , 2021. Note that the E peak from Ghirlanda et al (2021) follows the Amati E peak − L relationship, implying an harder spectrum for a more luminous burst.…”
Section: Calibrating and Comparing Models To Current Datamentioning
confidence: 99%
“…For GRB spectral shape, we adopt a Band function with E peak , α, and β following distributions described in Ghirlanda et al (2015Ghirlanda et al ( , 2021. Note that the E peak from Ghirlanda et al (2021) follows the Amati E peak − L relationship, implying an harder spectrum for a more luminous burst.…”
Section: Calibrating and Comparing Models To Current Datamentioning
confidence: 99%