Astronomy and Astrophysics – Astronomy
Scientific paper
Nov 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..371..423a&link_type=abstract
Statistical Challenges in Modern Astronomy IV ASP Conference Series, Vol. 371, proceedings of the conference held 12-15 June 200
Astronomy and Astrophysics
Astronomy
Scientific paper
We numerically investigate the performances of binned and unbinned
statistics in the spectrum parameter estimation problem of low-count
X-ray data. The unbinned likelihood is found to perform best, and is
applied to recent XMM-Newton observations of the Taurus Molecular Cloud.
Arzner Kaspar
Audard Marc
Briggs Keith
Franciosini Elena
Güdel Manuel
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