Interpretation of gamma-ray burst source count statistics

Details Interpretation of gamma-ray burst source count statistics Interpretation of gamma-ray burst source count statistics

Jan 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993apj...402l..33p&link_type=abstract

Astrophysical Journal, Part 2 - Letters (ISSN 0004-637X), vol. 402, no. 2, p. L33-L36.

Statistics

Computation

37

Gamma Ray Bursts, Statistical Analysis, Computational Astrophysics, Maximum Likelihood Estimates, Stochastic Processes

Scientific paper

Ever since the discovery of gamma-ray bursts, the so-called log N-log S relation has been used for determination of their distances and distribution. This task has not been straightforward because of varying thresholds for the detection of bursts. Most of the current analyses of these data are couched in terms of ambiguous distributions, such as the distribution of Cp/Clim, the ratio of peak to threshold photon count rates, or the distribution of V/Vmax = (Cp/Clim) exp -3/2. It is shown that these distributions are not always a true reflection of the log N-log S relation. Some kind of deconvolution is required for obtaining the true log N-log S. Therefore, care is required in the interpretation of results of such analyses. A new method of analysis of these data is described, whereby the bivariate distribution of Cp and Clim is obtained directly from the data.

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