Astronomy and Astrophysics – Astronomy
Scientific paper
Jul 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986a%26a...162..340s&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 162, no. 1-2, July 1986, p. 340-348.
Astronomy and Astrophysics
Astronomy
29
Data Sampling, Gamma Ray Astronomy, Statistical Analysis, Calibrating, Cos-B Satellite, Point Sources, Radiation Sources, Regression Analysis
Scientific paper
Techniques for using bootstrap sampling (BS) methods to analyze cosmic gamma ray data are described. Sophisticated statistical techniques are required for gamma ray analyses because of the rarity of available data, i.e., only about 200,000 photons in the energy range 50-5000 MeV have been recorded to date. BS consists basically of randomly sampling the data many times, sometimes same data points repeatedly, and calculating the statistic of interest from each BS sample. A frequency distribution of the statistic is then computed over all the samples in order to derive a probability distribution for the entire data set, and thereby obtain confidence intervals for conclusions regarding the characteristics of the parent population. The power of the method is compared to the results available from linear regression analysis. Sample applications are provided in the form of feature analysis, point-source significance statistics, error box determination, line spectra and time variability calculations for the COS-B data.
Mayer-Hasselwander H. H.
Simpson Gideon
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