A new method to perform data-model comparison in <i>Fermi</i>-LAT analysis

نویسندگان

چکیده

The analysis of Fermi Large Area Telescope (LAT) gamma-ray data in a given Region Of Interest (RoI) usually consists performing binned log-likelihood fit order to determine the sky model that, after convolution with instrument response, best accounts for distribution observed counts. While tools are available perform such fit, it is not easy check goodness-of-fit. difficulty assessment data/model agreement twofold. First all, and predicted counts three dimensions (two spatial one energy dimension) comparing two 3D maps straightforward. Secondly, source spectra generally decrease as inverse square. As consequence number above several GeV falls into Poisson regime, which precludes simple $\chi^2$ test. We propose method that overcomes these obstacles by producing spatially integrated count at each pixel analysed RoI. comparison performed following approach extends test histograms low statistics. This can take account likelihood weights used systematic uncertainties. optimize new so provides fast reliable tool assess goodness-of-fit Fermi-LAT we use latest catalog on 10~years data.

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ژورنال

عنوان ژورنال: Astronomy and Astrophysics

سال: 2021

ISSN: ['0004-6361', '1432-0746']

DOI: https://doi.org/10.1051/0004-6361/202141553