UHECR mass composition at highest energies from anisotropy of their arrival directions. (arXiv:2011.11590v1 [astro-ph.HE])
<a href="http://arxiv.org/find/astro-ph/1/au:+Kuznetsov_M/0/1/0/all/0/1">M.Yu. Kuznetsov</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Tinyakov_P/0/1/0/all/0/1">P.G. Tinyakov</a>

We propose a new method for the estimation of ultra-high energy cosmic ray
(UHECR) mass composition from a distribution of their arrival directions. The
method employs a test statistic (TS) based on a characteristic deflection of
UHECR events with respect to the distribution of luminous matter in the local
Universe. Making realistic simulations of the mock UHECR sets, we show that
this TS is robust to the presence of regular Galactic magnetic field and
sensitive to the mass composition of events in a set. This allows one to
constrain the UHECR mass composition by comparing the TS distribution of a
composition model in question with the data TS, and to discriminate between
different composition models. While the statistical power of the method depends
somewhat on the GMF parameters, this dependence decreases with the growth of
statistics. The method shows good performance even at GZK energies where the
estimation of UHCER mass composition with traditional methods is complicated by
a low statistics.

We propose a new method for the estimation of ultra-high energy cosmic ray
(UHECR) mass composition from a distribution of their arrival directions. The
method employs a test statistic (TS) based on a characteristic deflection of
UHECR events with respect to the distribution of luminous matter in the local
Universe. Making realistic simulations of the mock UHECR sets, we show that
this TS is robust to the presence of regular Galactic magnetic field and
sensitive to the mass composition of events in a set. This allows one to
constrain the UHECR mass composition by comparing the TS distribution of a
composition model in question with the data TS, and to discriminate between
different composition models. While the statistical power of the method depends
somewhat on the GMF parameters, this dependence decreases with the growth of
statistics. The method shows good performance even at GZK energies where the
estimation of UHCER mass composition with traditional methods is complicated by
a low statistics.

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