J/ApJ/763/15      Fermi GRB analysis. III. T90 distributions      (Qin+, 2013)
A comprehensive analysis of Fermi gamma-ray burst data.
III. Energy-dependent T90 distributions of GBM GRBs and instrumental selection
effect on duration classification.
    Qin Y., Liang E.-W., Liang Y.-F., Yi S.-X., Lin L., Zhang B.-B., Zhang J.,
    Lu H.-J., Lu R.-J., Lu L.-Z., Zhang B.
   <Astrophys. J., 763, 15 (2013)>
   =2013ApJ...763...15Q 2013ApJ...763...15Q
ADC_Keywords: Gamma rays
Keywords: gamma-ray burst: general; methods: statistical
Abstract:
    The durations (T90) of 315 gamma-ray bursts (GRBs) detected with
    Fermi/GBM (8-1000keV) up to 2011 September are calculated using the
    Bayesian Block method. We compare the T90 distributions between this
    sample and those derived from previous/current GRB missions. We show
    that the T90 distribution of this GRB sample is bimodal, with a
    statistical significance level comparable to those derived from the
    BeppoSAX/GRBM sample and the Swift/BAT sample, but lower than that
    derived from the CGRO/BATSE sample. The short-to-long GRB number ratio
    is also much lower than that derived from the BATSE sample, i.e.,
    1:6.5 versus 1:3. We measure T90 in several bands, i.e., 8-15,
    15-25, 25-50, 50-100, 100-350, and 350-1000keV, to investigate the
    energy-dependence effect of the bimodal T90distribution. It is found
    that the bimodal feature is well observed in the 50-100 and 100-350keV
    bands, but is only marginally acceptable in the 25-50keV and
    350-1000keV bands. The hypothesis of bimodality is confidently
    rejected in the 8-15 and 15-25keV bands. The T90distributions in
    these bands are roughly consistent with those observed by missions
    with similar energy bands. The parameter T90 as a function of energy
    follows {overline}{T}90∝E-0.20±0.02 for long GRBs.
    Considering the erratic X-ray and optical flares, the duration of a
    burst would be even longer for most GRBs. Our results, together with
    the observed extended emission of some short GRBs, indicate that the
    central engine activity timescale would be much longer than T90 for
    both long and short GRBs and the observed bimodal T90 distribution
    may be due to an instrumental selection effect.
Description:
    We include all 315 GRBs detected by the GBM, as reported by the GBM
    team in GCN circulars up to 2011 September. We download the data from
    the Fermi Archive available at
    ftp://legacy.gsfc.nasa.gov/fermi/data/gbm/bursts/
    The time-tagged event (TTE) data have excellent time resolution of 2us.
File Summary:
--------------------------------------------------------------------------------
 FileName   Lrecl  Records   Explanations
--------------------------------------------------------------------------------
ReadMe         80        .   This file
table1.dat    101      315   Derived Fermi/GBM T90 in different energy bands
--------------------------------------------------------------------------------
See also:
 IX/20 : The Fourth BATSE Burst Revised Catalog (Paciesas+ 1999)
 J/ApJS/211/13    : The second Fermi/GBM GRB catalog (4yr) (von Kienlin+, 2014)
 J/MNRAS/431/3608 : BeppoSAX/GRBM and Fermi/GBM long GRBs (Dichiara+, 2013)
 J/ApJS/207/39    : IPN supplement to the Fermi GBM (Hurley+, 2013)
 J/ApJ/756/112    : Fermi/GBM GRB time-resolved spectral analysis (Lu+, 2012)
 J/ApJ/754/121    : GRBs from Fermi/GBM and LAT (The Fermi Team, 2012)
 J/ApJS/199/18    : The Fermi GBM catalog (Paciesas+, 2012)
 J/ApJS/195/2     : The second Swift BAT GRB catalog (BAT2) (Sakamoto+, 2011)
 J/A+A/525/A53    : GBM parameters for detected FERMI bursts (Guetta+, 2011)
 J/ApJS/180/192   : BeppoSAX/GRBM γ-ray Burst Catalog (Frontera+, 2009)
 http://heasarc.gsfc.nasa.gov/W3Browse/fermi/fermigbrst.html : Fermi GBM burst
                                                                 catalog
Byte-by-byte Description of file: table1.dat
--------------------------------------------------------------------------------
  Bytes Format Units  Label      Explanations
--------------------------------------------------------------------------------
  1-  9 I9     ---    ID         Fermi/GBM GRB identifier (YYMMDDNNN)
 11- 17 A7     ---    GRB        GRB name (YYMMDDA)
 19- 24 F6.2   s      T8-15      [0.4/262.5]? T90 time in 8-15keV band
 26- 29 F4.2   s    e_T8-15      [0.2/2.3]? Uncertainty in 8-15keV
 31- 36 F6.2   s      T15-25     [0.3/273.2]? T90 time in the 15-25keV band
 38- 41 F4.2   s    e_T15-25     [0.1/2]? Uncertainty in 15-25keV band
 43- 48 F6.2   s      T25-50     [0.3/256.5]? T90 time in the 25-50keV band
 50- 53 F4.2   s    e_T25-50     [0.09/1.6]? Uncertainty in 25-50keV band
 55- 60 F6.2   s      T50-100    [0.2/215.5]? T90 time in the 50-100keV band
 62- 65 F4.2   s    e_T50-100    [0.1/1.6]? Uncertainty in 50-100keV band
 67- 72 F6.2   s      T100-350   [0.1/252.6]? T90 time in the 100-350keV band
 74- 77 F4.2   s    e_T100-350   [0.05/1.9]? Uncertainty in 100-350keV band
 79- 84 F6.2   s      T350-1000  [0.1/281]? T90 time in the 350-1000keV band
 86- 89 F4.2   s    e_T350-1000  [0.1/2.1]? Uncertainty in 350-1000keV band
 91- 96 F6.2   s      T8-1000    [0.1/261.2]? T90 time in the 8-1000keV band
 98-101 F4.2   s    e_T8-1000    [0.05/1.6]? Uncertainty in 8-1000keV band
--------------------------------------------------------------------------------
History:
    From electronic version of the journal
References:
  Zhang et al.   Paper I.   2011ApJ...730..141Z 2011ApJ...730..141Z
  Lu et al.      Paper II.  2012ApJ...756..112L 2012ApJ...756..112L  Cat. J/ApJ/756/112
(End)                 Greg Schwarz [AAS], Emmanuelle Perret [CDS]    09-Oct-2014