THE
                    <i>FERMI</i>
                    GBM GAMMA-RAY BURST SPECTRAL CATALOG: FOUR YEARS OF DATA

Gruber, D.; Goldstein, A.; Ahlefeld, Victoria Weller von; Bhat, P. N.; Bissaldi, E.; Briggs, M. S.; Byrne, Dave; Cleveland, W. H.; Connaughton, V.; Diehl, R.; Fishman, G. J.; Fitzpatrick, G.; Foley, S.; Gibby, M. H.; Giles, M. M.; Greiner, J.; Guiriec, S.; Horst, A. J. van der; Kienlin, A. von; Kouveliotou, C.; Layden, Emily; Lin, Lin; Meegan, C.; McGlynn, S.; Pačiesas, W. S.; Pelassa, V.; Preece, R. D.; Rau, A.; Wilson-Hodge, C.; Xiong, S. L.; Younes, George; Yu, H. F.

doi:10.1088/0067-0049/211/1/12

Cited by 368 publications

(451 citation statements)

References 39 publications

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“…The E peak distribution peaks at ∼80 keV (the center of the bin with the largest number of bursts), which is similar to the one presented in the BAT2 catalog, but is significantly different than the distributions from GRBs detected by other instruments, as shown in Figure 12 (Sakamoto et al 2011b;Goldstein et al 2013;Gruber et al 2014;von Kienlin et al 2014). The difference is likely due to instrumental biases with each instrument sensitives to a different energy range.…”

Section: Bat Sensitivity On Grb Detectionssupporting

confidence: 56%

“…For the BAT GRBs, only bursts with successfully determined are included in the plot. T 90 for Fermi/GBM bursts are obtained from the Fermi GBM burst catalog (Gruber et al 2014;von Kienlin et al 2014). T 90 for CGRO/BATSE bursts are from The Fourth Gamma-ray Bursts Catalog (Paciesas et al 1999).…”

Section: Standard Analysismentioning

confidence: 99%

“…We use these trigger numbers in the fake TDRSS Figure 12. E peak distributions for GRBs detected by Fermi (Gruber et al 2014;von Kienlin et al 2014) and BATSE (Goldstein et al 2013). Distributions using the upper and lower bounds of the E peak uncertainty range are also plotted for comparison.…”

Section: Ground-detected Grbsmentioning

confidence: 99%

“…The middle and bottom panels of Figure 7 shows the T 90 distributions for GRBs detected by Fermi and BATSE for comparison. T 90 of the Fermi GRBs are obtained from the Fermi GBM burst catalog 30 (Gruber et al 2014;von Kienlin et al 2014), and T 90 of the BATSE GRBs are from The Fourth Gamma-ray Bursts Catalog (Paciesas et al 1999). Compared to the short GRB fraction in the Swift/BAT GRB sample (∼9%), the fractions of short bursts are larger in both the Fermi GRB sample (∼17%) and the BATSE sample (∼26%).…”

Section: Burst Durationsmentioning

confidence: 99%

See 3 more Smart Citations

The Third Swift Burst Alert Telescope Gamma-Ray Burst Catalog

Lien

Sakamoto

Barthelmy

et al. 2016

ApJ

313

320

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To date, the Burst Alert Telescope (BAT) onboard Swift has detected ∼1000 gamma-ray bursts (GRBs), of which ∼360 GRBs have redshift measurements, ranging from z=0.03 to z=9.38. We present the analyses of the BATdetected GRBs for the past ∼11 years up through GRB151027B. We report summaries of both the temporal and spectral analyses of the GRB characteristics using event data (i.e., data for each photon within approximately 250 s before and 950 s after the BAT trigger time), and discuss the instrumental sensitivity and selection effects of GRB detections. We also explore the GRB properties with redshift when possible. The result summaries and data products are available at http://swift.gsfc.nasa.gov/results/batgrbcat/index.html. In addition, we perform searches for GRB emissions before or after the event data using the BAT survey data. We estimate the false detection rate to be only one false detection in this sample. There are 15 ultra-long GRBs (∼2% of the BAT GRBs) in this search with confirmed emission beyond ∼1000 s of event data, and only two GRBs (GRB100316D and GRB101024A) with detections in the survey data prior to the starting of event data.

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Section: Bat Sensitivity On Grb Detectionssupporting

confidence: 56%

Section: Standard Analysismentioning

confidence: 99%

Section: Ground-detected Grbsmentioning

confidence: 99%

Section: Burst Durationsmentioning

confidence: 99%

See 2 more Smart Citations

The Third Swift Burst Alert Telescope Gamma-Ray Burst Catalog

Lien

Sakamoto

Barthelmy

et al. 2016

ApJ

313

320

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“…In the others, a three-Gaussian distribution was found to follow the histogram better than a two-Gaussian, but those fits yielded only two peaks, so although statistical analyses support the presence of a third class, its existence is still elusive and may be due to selection and instrument effects, or might be described by a distribution that is not necessarily a mixture of Gaussians. The latest release is due to Fermi GBM observations (Gruber et al 2014;von Kienlin et al 2014) and consists of 1568 GRBs 1 with calculated T 90 . This sample, to the best of the author's knowledge, has not yet been investigated for the presence of an intermediate class; only Horváth et al (2012) and Qin et al (2013) conducted research on a subsample consisting of 425 bursts from the first release of the catalog.…”

Section: Introductionmentioning

confidence: 99%

Analysis ofFermigamma-ray burst duration distribution

Tarnopolski

2015

A&A

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Context. Two classes of gamma-ray bursts (GRBs), short and long, have been determined without any doubts, and are usually prescribed to different physical scenarios. A third class, intermediate in T 90 durations has been reported in the datasets of BATSE, Swift, RHESSI, and possibly BeppoSAX. The latest release of >1500 GRBs observed by Fermi gives an opportunity to further investigate the duration distribution. Aims. The aim of this paper is to investigate whether a third class is present in the log T 90 distribution, or whether it is described by a bimodal distribution. Methods. A standard χ 2 fitting of a mixture of Gaussians was applied to 25 histograms with different binnings. Results. Different binnings give various values of the fitting parameters, as well as the shape of the fitted curve. Among five statistically significant fits, none is trimodal. Conclusions. Locations of the Gaussian components are in agreement with previous works. However, a trimodal distribution, understood in the sense of having three distinct peaks, is not found for any binning. It is concluded that the duration distribution in the Fermi data is well described by a mixture of three log-normal distributions, but it is intrinsically bimodal, hence no third class is present in the T 90 data of Fermi. It is suggested that the log-normal fit may not be an adequate model.

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Fermi GBM GRBs' multivariate statistics

et al. 2018

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Studying their gamma‐ray spectra may reveal some physical information on γ‐ray bursts (GRBs). The Fermi satellite has observed more than 2,000 GRBs. The FERMIGBRST catalog contains the GRB parameters (peak energy, spectral indices, intensity) estimated for both the total emission (fluence) and the emission during the interval of the peak flux. We found a relationship with linear discriminant analysis between the spectral categories and the model‐independent physical data. We compared the Swift and Fermi spectral types, and found a connection between the Fermi fluence spectra and the Swift spectra, but the result of the peak flux spectra can be disputable. We found that those GRBs that were observed by both Swift and Fermi can similarly discriminate as the complete Fermi sample. We conclude that the common observation probably did not find any trace of selection effects in the spectral behavior of GRBs.

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THE FERMI GBM GAMMA-RAY BURST SPECTRAL CATALOG: FOUR YEARS OF DATA

Cited by 368 publications

References 39 publications

The Third Swift Burst Alert Telescope Gamma-Ray Burst Catalog

The Third Swift Burst Alert Telescope Gamma-Ray Burst Catalog

Analysis ofFermigamma-ray burst duration distribution

Fermi GBM GRBs' multivariate statistics

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