GRB 041217 , the SIMBAD biblio

GRB 041217 , the SIMBAD biblio (26 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST08:04:07


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Title First 3 Authors
2004GCN..2853....1P 74 T                   1 4
GRB041217: the first GRB located on-board Swift.
PALMER D., FENIMORE E., BARTHELMY S., et al.
2004GCN..2854....1B 73 T                   1 2
GRB041217: infrared observations.
BLOOM J.S.
2004GCN..2855....1C 73 T                   1 0
GRB041217: P60 optical observations.
CENKO S.B.
2004GCN..2856....1T 73 T                   1 0
GRB041217: NIR and optical observations with REM.
TESTA V., TOSTI G., MONFARDINI A., et al.
2004GCN..2857....1W 73 T                   1 0
GRB041217: optical observations.
WILLIAMS G.G., YOSHIDA F. and ITO T.
2004GCN..2859....1B 73 T                   1 0
GRB 041217: LCO40 optical observations and possible candidates.
BERGER E. and GONZALEZ S.
2004GCN..2862....1C 73 T                   1 0
GRB041217: optical limit 30 min after GRB.
CWIOK M., KRUPSKA K., KWIECINSKA K., et al.
2004GCN..2864....1B 73 T                   1 1
GRB 041217: PROMPT observations.
BAYLISS M., NYSEWANDER M., FOSTER A., et al.
2004GCN..2926....1D 73 T                   1 0
GRB 041217: optical observations.
DURIG D.T. and PALMER D.
2006ApJ...637..880B 65 14 A search for early optical emission at gamma-ray burst locations by the Solar Mass Ejection Imager (SMEI). BUFFINGTON A., BAND D.L., JACKSON B.V., et al.
2008ApJS..175..179S viz 43           X         1 13 165 The first Swift BAT gamma-ray burst catalog. SAKAMOTO T., BARTHELMY S.D., BARBIER L., et al.
2008ApJ...678.1127K viz 74             C       1 19 31 GRB 070610: a curious galactic transient. KASLIWAL M.M., CENKO S.B., KULKARNI S.R., et al.
2009ApJ...693..922S 15       D               1 53 53 Epeak estimator for gamma-ray bursts observed by the Swift burst alert telescope. SAKAMOTO T., SATO G., BARBIER L., et al.
2009ApJ...701..824N viz 15       D               1 459 138 A comparison of the afterglows of short- and long-duration gamma-ray bursts. NYSEWANDER M., FRUCHTER A.S. and PE'ER A.
2009A&A...504...67H 41           X         1 2 19 A comparison of the gamma-ray bursts detected by BATSE and Swift. HUJA D., MESZAROS A. and RIPA J.
2010ApJ...713..552H 39           X         1 14 53 Detailed classification of Swift's gamma-ray bursts. HORVATH I., BAGOLY Z., BALAZS L.G., et al.
2011ApJS..195....2S viz 356       D     X         10 477 210 The second Swift Burst Alert Telescope gamma-ray burst catalog. SAKAMOTO T., BARTHELMY S.D., BAUMGARTNER W.H., et al.
2012MNRAS.425..514K 40           X         1 5 22 Prospects for detecting gamma-ray bursts at very high energies with the cherenkov telescope array. KAKUWA J., MURASE K., TOMA K., et al.
2013PASP..125..287S 38           X         1 10 2 Swift publication statistics: A comparison with other major observatories. SAVAGLIO S. and GROYHKOPF U.
2013ApJS..209...20G viz 15       D               1 754 27 Evidence for new relations between gamma-ray burst prompt and X-ray afterglow emission from 9 years of Swift. GRUPE D., NOUSEK J.A., VERES P., et al.
2016ApJ...829....7L viz 16       D               1 1010 215 The third Swift burst alert telescope gamma-ray burst catalog. LIEN A., SAKAMOTO T., BARTHELMY S.D., et al.
2020ApJ...893...77W viz 16       D               1 3281 34 A comprehensive statistical study of gamma-ray bursts. WANG F., ZOU Y.-C., LIU F., et al.
2020ApJ...896L..20J viz 16       D               1 1320 28 An unambiguous separation of gamma-ray bursts into two classes from prompt emission alone. JESPERSEN C.K., SEVERIN J.B., STEINHARDT C.L., et al.
2020ApJ...897...77T 41           X         1 2 ~ Can the cosmological dilation explain the skewness in the gamma-ray burst duration distribution? TARNOPOLSKI M.
2021ApJ...911...20T viz 17       D               1 1354 14 A comprehensive power spectral density analysis of astronomical time series. II. The Swift/BAT long gamma-ray bursts. TARNOPOLSKI M. and MARCHENKO V.
2023ApJ...951....4G 17       D               1 99 2 Identification of Extended Emission Gamma-Ray Burst Candidates Using Machine Learning. GARCIA-CIFUENTES K., BECERRA R.L., DE COLLE F., et al.

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