The Splashback Mass Function in the Presence of Massive Neutrinos
Suho Ryu, Jounghun Lee (Seoul National U.)

TL;DR
This paper introduces a novel method using the splashback mass function's diffusion coefficient to constrain the total neutrino mass, demonstrating its effectiveness through simulations and analytic fits across various redshifts.
Contribution
It develops and validates an analytic formula for the diffusion coefficient of the splashback mass function in the presence of massive neutrinos, enabling neutrino mass constraints from redshift evolution.
Findings
The analytic formula fits simulation data well for different neutrino masses.
Massive neutrinos lower the diffusion coefficient's value and increase the characteristic redshift.
The diffusion coefficient's redshift decline can be modeled linearly, aiding neutrino mass estimation.
Abstract
We present a complementary methodology to constrain the total neutrino mass, , based on the diffusion coefficient of the splashback mass function of dark matter halos. Analyzing the snapshot data from the Massive Neutrino Simulations, we numerically obtain the number densities of distinct halos identified via the SPARTA code as a function of their splashback masses at various redshifts for two different cases of eV and eV. Then, we fit the numerical results to the recently developed analytic formula characterized by the diffusion coefficient that quantifies the degree of ambiguity in the identification of the splashback boundaries. Our analysis confirms that the analytic formula works excellently even in the presence of neutrinos and that the decrement of its diffusion coefficient with redshift is well described by a linear fit, , in…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Particle physics theoretical and experimental studies · Cosmology and Gravitation Theories
