Unbinned MLE for Low-Count Spectra

Astronomy and Astrophysics – Astronomy

Scientific paper

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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.

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