A search for gamma-ray signals from NGC 4151, 3C 273, and Cen-A by bootstrap sampling the SAS-2 data
Abstract
Bootstrap sampling is a method that can be used to generate a large number of simulated samples (bootstrap samples) from the data of the measured sample. By working out the statistic of interest in each bootstrap sample and then calculating the frequency distribution of the statistic over the bootstrap samples, we can derive the probability distribution of the parameter required. A bootstrap sample is a subset of the measured data formed by randomly drawing data from the measured sample with replacement. In this paper, we have made use of the bootstrap sampling technique to identify the γ-ray signals for the 3 extragalactic γ-ray sources NGC 4151, 3C 273, and Cen-A.
- Publication:
-
Astrophysics and Space Science
- Pub Date:
- December 1990
- DOI:
- 10.1007/BF00642517
- Bibcode:
- 1990Ap&SS.174..315Y
- Keywords:
-
- Extragalactic Radio Sources;
- Gamma Ray Astronomy;
- Data Sampling;
- Error Analysis;
- Frequency Distribution;
- Astronomy;
- Probability Distribution;
- Frequency Distribution;
- Sampling Technique;
- Bootstrap Sample;
- Measured Sample