The influence of stellar objects mass distribution on their gravitational fields. (arXiv:1911.11769v1 [astro-ph.GA])
<a href="http://arxiv.org/find/astro-ph/1/au:+Stephanovich_V/0/1/0/all/0/1">Vladimir Stephanovich</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Godlowski_W/0/1/0/all/0/1">Wlodzimierz Godlowski</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Biernacka_M/0/1/0/all/0/1">Monika Biernacka</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Mrzyglod_B/0/1/0/all/0/1">Blazej Mrzyglod</a>

We study theoretically the influence of the astronomical objects masses
randomness on the distribution function of their gravitational fields. We have
shown that mass randomness does not change the non-Gaussian character of the
gravitational fields distribution. At the same time, our results show that mass
distribution alters the dependencies of the mean angular momenta of galaxies
and clusters on their richness. The specific form of above dependence is
determined by the interplay of mass distribution and different assumptions made
about cluster morphology. We trace the influence of masses distribution on the
time evolution of stellar objects angular momenta in CDM and $Lambda$CDM
models. We also compare our theoretical predictions with results derived both
form observational data and numerical simulations.

We study theoretically the influence of the astronomical objects masses
randomness on the distribution function of their gravitational fields. We have
shown that mass randomness does not change the non-Gaussian character of the
gravitational fields distribution. At the same time, our results show that mass
distribution alters the dependencies of the mean angular momenta of galaxies
and clusters on their richness. The specific form of above dependence is
determined by the interplay of mass distribution and different assumptions made
about cluster morphology. We trace the influence of masses distribution on the
time evolution of stellar objects angular momenta in CDM and $Lambda$CDM
models. We also compare our theoretical predictions with results derived both
form observational data and numerical simulations.

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