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Paper: Unbinned MLE for Low-Count Spectra
Volume: 371, Statistical Challenges in Modern Astronomy IV
Page: 423
Authors: Arzner, K.; Guedel, M.; Briggs, K.; Telleschi, A.; Schmidt, M.; Audard, M.; Scelsi, L.; Franciosini, E.
Abstract: 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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