Multiple regression of GRB luminosity on light-curve properties
| dc.contributor.author | Koen, Chris | |
| dc.date.accessioned | 2013-11-19T13:28:13Z | |
| dc.date.available | 2013-11-19T13:28:13Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | Statistical relations between the luminosity L of gamma-ray burster (GRBs) and several of their other observable properties have been discovered. Four of these properties are considered here: the spectral lag; a measure of the light-curve variability; peak energy and the minimum light-curve rise time. Data are taken from a tabulation by Schaefer. Log–log regression of L on various combinations of the four light-curve properties, as well as redshift, is considered, using conventional multiple linear regression, and multiple errors-in-variables regression. Several cases are found in which the regression coefficients of more than one luminosity indicators are significant. In particular, the simultaneous regression of luminosity on peak energy, spectral lag, minimum rise time and redshift is meaningful. | en_US |
| dc.identifier.citation | Koen, C. (2009). Multiple regression of GRB luminosity on light-curve properties. Monthly Notices of the Royal Astronomical Society, 396(3): 1499–1506 | en_US |
| dc.identifier.issn | 0035-8711 | |
| dc.identifier.uri | http://hdl.handle.net/10566/838 | |
| dc.language.iso | en | en_US |
| dc.privacy.showsubmitter | false | |
| dc.publisher | Oxford University Press | en_US |
| dc.rights | © 2009 copyright Oxford University Press. This file may be freely used for educational purposes, as long as it is not altered in any way. Acknowledgement of the authors and the source is required. | |
| dc.source.uri | http://dx.doi.org/10.1111/j.1365-2966.2009.14795.x | |
| dc.status.ispeerreviewed | true | |
| dc.subject | Methods: statistical | en_US |
| dc.subject | Gamma-rays: bursts | en_US |
| dc.title | Multiple regression of GRB luminosity on light-curve properties | en_US |
| dc.type | Article | en_US |