Gamma-Ray Burst Class Properties

Details Gamma-Ray Burst Class Properties Gamma-Ray Burst Class Properties

Jul 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000apj...538..165h&link_type=abstract

The Astrophysical Journal, Volume 538, Issue 1, pp. 165-180.

Astronomy and Astrophysics

Astronomy

56

Gamma Rays: Bursts, Methods: Analytical, Methods: Data Analysis

Scientific paper

Guided by the supervised pattern recognition algorithm C4.5 developed by Quinlan in 1986, we examine the three gamma-ray burst classes identified by Mukherjee et al. in 1998. C4.5 provides strong statistical support for this classification. However, with C4.5 and our knowledge of the BATSE instrument, we demonstrate that class 3 (intermediate fluence, intermediate duration, soft) does not have to be a distinct source population: statistical/systematic errors in measuring burst attributes combined with the well-known hardness/intensity correlation can cause low peak flux class 1 (high fluence, long, intermediate hardness) bursts to take on class 3 characteristics naturally. Based on our hypothesis that the third class is not a distinct one, we provide rules so that future events can be placed in either class 1 or class 2 (low fluence, short, hard). We find that the two classes are relatively distinct on the basis of Band's work in 1993 on spectral parameters α, β, and Epeak alone. Although this does not indicate a better basis for classification, it does suggest that different physical conditions exist for class 1 and class 2 bursts. In the process of studying burst class characteristics, we identify a new bias affecting burst fluence and duration measurements. Using a simple model of how burst duration can be underestimated, we show how this fluence duration bias can affect BATSE measurements and demonstrate the type of effect it can have on the BATSE fluence versus peak flux diagram.

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