Spectral properties of 438 GRBs detected by Fermi/GBM

By L. Nava, G. Ghirlanda, G. Ghisellini, A. Celotti. 2010

157 citations recorded by the source corpus.

We present the results of the spectral analysis of the public data of 438 Gamma Ray Bursts (GRBs) detected by the Fermi Gamma ray Burst Monitor (GBM) up to March 2010. For 432 bursts we could fit the time integrated spectrum. In 318 cases we can reliably constrain the peak energy Epeak of their \nu F_\nu spectrum by analyzing their time integrated spectrum between 8 keV and 35 MeV. 80% of these spectra are fitted by a power law with an exponential cutoff, and the remaining with the Band function. Among these 318 GRBs, 274 and 44 belong to the long and short GRB class, respectively. Long GRBs have a typical peak energy Epeak=160 keV and low energy spectral index alpha=-0.92. Short GRBs have harder peak energy (Epeak=490 keV) and harder low energy spectral index (alpha=-0.50) than long bursts. For each Fermi GRB we analyzed also the spectrum corresponding to the peak flux of the burst. On average, the peak spectrum has harder low energy spectral index but similar Epeak than the corresponding time-integrated spectrum for the same burst. The spectral parameters derived in our analysis of Fermi/GBM bursts are globally consistent with those reported in the GRB Cicular Network (GCN) archive after December 2008, while we found systematic differences, concerning the low energy power law index, for earlier bursts.

Subfields: Astronomy and Astrophysics, Instrumentation, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/27bb805c7361f63c3c9a1ed59665dbb15a804a25

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In Astronomy and Astrophysics

1. Bing Zhang
2. Pawan Kumar
3. A. Pe’er
4. F. Ryde
5. T. Piran
6. G. Ghirlanda
7. G. Ghisellini
8. D. Wanderman

In Instrumentation

1. Bing Zhang
2. Pawan Kumar
3. F. Ryde
4. A. Pe’er
5. T. Piran
6. D. Wanderman
7. G. Ghirlanda
8. G. Ghisellini

In Nuclear and High Energy Physics

1. Bing Zhang
2. Pawan Kumar
3. T. Piran
4. F. Ryde
5. G. Ghirlanda
6. D. Wanderman
7. A. Pe’er
8. G. Ghisellini

Citations in the corpus

• A complete sample of bright Swift long gamma-ray bursts: testing the spectral-energy correlations (2011, methodology): “Nava et al. (2008; 2011b) studied the distribution of BATSE and GBM bursts in this plane and derived respectively a 6% and 3% of outliers.”
• A theory of photospheric emission from relativistic, collimated outflows (2012, result): “We consider this a very important result as this is similar to the average low energy photon index observed in GRBs (e.g. Kaneko et al. 2006; Nava et al. 2011; Goldstein et al. 2012).”
• THE SECOND FERMI GBM GAMMA-RAY BURST CATALOG: THE FIRST FOUR YEARS (2014, background): “Detailed studies of various GBM GRB subsamples have been presented elsewhere (e.g., Ghirlanda et al. 2010; Guiriec et al. 2010; Lv et al. 2010; Bissaldi et al. 2011; Ghirlanda et al. 2011; Gruber et al. 2011a; Nava et al. 2011a, 2011b; Zhang et al. 2011; Lu et al. 2012; Qin et al. 2013).”
• THE FERMI GBM GAMMA-RAY BURST SPECTRAL CATALOG: THE FIRST TWO YEARS (2012, methodology): “Additionally, in the Nava et al. (2011) sample, signal selections were not performed in a systematic way, but rather subjectively selected, based on a subjective estimate of where the signal fell below the background.”
• The rate, luminosity function and time delay of non-Collapsar short GRBs (2014, methodology): “We carry out a combined likelihood analysis using the BATSE and the Fermi/GBM peak-flux distributions and the Swift sGRB redshift sample.”
• The physics of gamma-ray bursts & relativistic jets (2014, background): “Such a distribution is also confirmed for the Fermi and INTEGRAL bursts [103,436,434].”
• THE FERMI GBM GAMMA-RAY BURST SPECTRAL CATALOG: FOUR YEARS OF DATA (2014, result): “Figure 30(c), and similar results found in Goldstein et al. (2012) and Nava et al. (2011), seems to contradict this belief with marginal difference between Epeak measured at the peak of the photon flux and Epeak measured over the full duration of the burst.”