J/ApJ/855/101 BATSE TTE GRB pulse catalog (Hakkila+, 2018)
Properties of short gamma-ray burst pulses from a BATSE TTE GRB pulse catalog.
Hakkila J., Horvath I., Hofesmann E., Lesage S.
<Astrophys. J., 855, 101 (2018)>
=2018ApJ...855..101H 2018ApJ...855..101H
ADC_Keywords: GRB
Keywords: astronomical databases: miscellaneous ; gamma-ray burst: general ;
methods: data analysis ; methods: statistical
Abstract:
We analyze pulse properties of short gamma-ray bursts (GRBs) from a
new catalog containing 434 pulses from 387 BATSE time-tagged event
(TTE) GRBs. Short GRB pulses exhibit correlated properties of
duration, fluence, hardness, and amplitude, and they evolve hard to
soft while undergoing similar triple- peaked light curves similar to
those found in long/intermediate bursts. We classify pulse light
curves using their temporal complexities, demonstrating that short GRB
pulses exhibit a range of complexities from smooth to highly variable.
Most of the bright, hard, chaotic emission seen in complex pulses
seems to represent a separate highly variable emission component.
Unlike long/intermediate bursts, as many as 90% of short GRBs are
single-pulsed. However, emission in short multipulsed bursts is
coupled such that the first pulse's duration is a predictor of both
the interpulse separation and subsequent pulse durations. These
results strongly support the idea that external shocks produce the
prompt emission seen in short GRBs. The similarities between the
triple-peaked structures and spectral evolution of long, short, and
intermediate GRBs then suggests that external shocks are responsible
for the prompt emission observed in all GRB classes. In addition to
these findings, we identify a new type of gamma-ray transient in which
peak amplitudes occur at the end of the burst rather than at earlier
times. Some of these "crescendo" bursts are preceded by rapid-fire
"staccato" pulses, whereas the remaining are preceded by a variable
episode that could be unresolved staccato pulses.
Description:
BATSE obtained time-tagged event (TTE) data for 532 GRBs (2702 GRBs
appear in the online BATSE Burst Catalog; M. S. Briggs+ 2018, in
preparation, at http://gammaray.msfc.nasa.gov/batse/grb/catalog/current/).
Some of these are long GRBs with durations extending far beyond the 2s
maximum boundary of the TTE window, leaving a smaller number of
shorter bursts available for high-resolution pulse analysis. Our
initial sample consists of 392 of these BATSE TTE GRBs obtained from
Horvath+ (2005NCimC..28..291H 2005NCimC..28..291H); these GRBs are all short enough to
potentially fit completely within their respective TTE windows.
The values we are fitting are the 4ms binned counts summed over the
four BATSE energy channels. Upon removal of five bursts with data
problems, the sample available for GRB pulse fitting is reduced to 387
bursts.
Of the 387 TTE bursts for which TTE data are available, 206 completely
fit within the TTE temporal window and 181 partially fit within the
TTE temporal window. GRBs that completely fit within the window have
been analyzed using 4ms resolution data (TTE complete pulses), while
those that do not have been analyzed using 64ms resolution (TTE
partial pulses).
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table5.dat 201 434 BATSE TTE GRB pulse catalog (Part I)
table6.dat 184 434 BATSE TTE GRB pulse catalog (Part II)
table7.dat 165 434 BATSE TTE GRB pulse catalog (Part III)
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See also:
J/ApJ/508/314 : Gamma-ray bursts types (Mukherjee+, 1998)
J/ApJ/720/1146 : Spectral analysis of GRBs (Lu+, 2010)
J/ApJ/740/104 : BATSE GRB pulse catalog - preliminary data (Hakkila+, 2011)
J/ApJ/777/132 : A search for progenitors of short GRBs (Dichiara+, 2013)
J/ApJS/208/21 : The BATSE 5B GRB spectral catalog (Goldstein+, 2013)
J/ApJS/227/7 : Long & short GRBs with host galaxies data (Li+, 2016)
http://gammaray.msfc.nasa.gov/batse/grb/catalog/current/ : Gamma-ray
astrophysics at the NSSTC - BATSE home page
Byte-by-byte Description of file: table5.dat
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Bytes Format Units Label Explanations
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1- 4 I4 --- TNum [138/8120] BASTE trigger number
5 A1 --- m_TNum [a-d] Component for the pulse identifier
7- 10 A4 --- Res Resolution ("4ms" for TTE complete or
"64ms" for TTE partial)
12- 17 F6.1 ct B0 [23/2211] Mean background counts per bin
19- 21 F3.1 ct e_B0 [0.1/7.6] Uncertainty in B0
23- 26 F4.1 ct/s BS [-8.9/11.2] Background rate change per bin
28- 30 F3.1 ct/s e_BS [0/8.4] Uncertainty in BS
32- 40 F9.4 s ts [-179.2/2.3] Pulse start time from Eq. 1
42- 51 E10.4 s e_ts [0/124990] Uncertainty in ts
53- 60 F8.1 ct A [9/467871] Pulse amplitude from Eq. 1
62- 70 E9.3 ct e_A [0/196700000] Uncertainty in A
72- 80 E9.3 s tau1 [0/14340000] Pulse rise parameter from Eq. 1
82- 90 E9.3 s e_tau1 [0/136000000] Uncertainty in tau1
92-100 E9.3 s tau2 [4.7e-05/1.2] Pulse decay parameter from Eq. 1
102-110 E9.3 s e_tau2 [0/268] Uncertainty in tau2
112-117 F6.4 s w [0.003/4.7] Pulse duration from Eq. 3
119-128 E10.4 s e_w [0/1189800] Uncertainty in w
130-134 F5.3 --- kappa [0.001/1] Pulse asymmetry from Eq. 4
136-144 E9.3 --- e_kappa [0/12790000] Uncertainty in kappa
146-155 E10.4 s tau-pk [-1.8/2.5] Pulse peak time from Eq. 2
157-165 E9.3 s e_tau-pk [0/3849000] Uncertainty in tau-pk
167-172 F6.3 s tstart [-2.3/2.2] Fiducial start time from Eq. 7
174-179 F6.3 s tend [-0.4/10.3] Fiducial end time from Eq. 6
181-189 F9.3 --- chi2 [4.4/12367] Goodness of fit for
pulse + background model
191-193 I3 --- nu [2/659] Degrees of freedom for
pulse + background model
195-201 F7.3 --- chi2nu [0.4/288] Reduced goodness of fit for
pulse + background model
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Byte-by-byte Description of file: table6.dat
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Bytes Format Units Label Explanations
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1- 4 I4 --- TNum [138/8120] BASTE trigger number
5 A1 --- m_TNum [a-d] Component for the pulse identifier
7- 12 F6.3 s t0 [-0.08/2.5]? Residual peak time (1)
14- 19 F6.4 s e_t0 [0/0.2]? Uncertainty in t0
21- 26 F6.1 ct a [0.7/3300]? Residual amplitude (1)
28- 32 F5.1 ct e_a [0/929]? Uncertainty in a
34- 39 F6.1 s-1 omega [49/8880]? Residual Bessel frequency (1)
41- 47 F7.2 s-1 e_omega [5/8580]? Uncertainty in omega
49- 53 F5.3 --- s [0.06/1]? Bessel function stretching
parameter (1)
55- 59 F5.3 --- e_s [0.01/1.7]? Uncertainty in s
61- 67 F7.1 --- chi2r [3.9/10844]? Goodness of fit for
pulse+residual+background model
69- 73 F5.1 --- nur [6/655]? Degrees of freedom for
pulse+residual+background model
75- 80 F6.2 --- chi2nur [0.6/279]? Reduced goodness of fit for
pulse+residual+background model
82- 87 F6.1 --- delchi2r [-19/1523]? Goodness of fit improvement from
residual model
89- 91 F3.1 --- delnur [1.9/4]? Difference in degrees of freedom
93-100 E8.2 --- pdel [0/1] p-value of model improvement
102 A1 --- Inc Included code; based on pdel (x=include
residuals or o=exclude residuals)
104-106 F3.1 --- R [0/1]? Ratio of A/a, from Equation 13
108-110 I3 ct 4msPcts [49/821]? Measure peak counts per bin
112-115 F4.1 --- 4msS/N [0/26.6]? Signal-to-Noise from Equation 14
117-118 A2 --- BClass GRB class from Section 3.1 (2)
120-127 E8.2 --- pbest [0/1] Best-fit p-value
129-138 A10 --- PClass Pulse classification; see Section 3.2
140-147 E8.2 mJ/m2 S [1.5e-08/2.6e-05] Energy fluence from BATSE
catalog and pulse fits; in erg/cm2
149-156 E8.2 mJ/m2 e_S [1.5e-08/2.4e-06] Uncertainty in S
158-171 F14.9 --- HR [0/1073.6] Hardness ratio (3)
173-184 F12.6 --- e_HR [0.1/65710] Uncertainty in HR
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Note (1): From Equation 5.
Note (2): Summarized in Table 1 (I=intermediate, L=long or S=short GRBs).
Note (3): For this analysis we define energy hardness as, Equation (15):
HR=(S3+S4)/(S1+S2) where Sn refers to the fluence in
BATSE energy channel n.
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Byte-by-byte Description of file: table7.dat
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Bytes Format Units Label Explanations
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1- 4 I4 --- TNum [138/8120] BASTE trigger number
5 A1 --- m_TNum [a-d] Component for the pulse identifier
7-165 A159 --- Comm Comment
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History:
From electronic version of the journal
(End) Prepared by [AAS], Emmanuelle Perret [CDS] 04-Jan-2019