Cosmology and neutrino mass with the Minimum Spanning Tree
Krishna Naidoo, Elena Massara, Ofer Lahav

TL;DR
This paper demonstrates that the minimum spanning tree (MST) captures higher-order cosmic web information, providing tighter constraints on neutrino mass and cosmological parameters than the power spectrum alone, especially when combined.
Contribution
It introduces the use of MST in cosmology for neutrino mass estimation, showing its advantages over traditional power spectrum analysis and its potential for future surveys.
Findings
MST yields tighter constraints on neutrino mass and certain cosmological parameters.
Combining MST with power spectrum improves parameter constraints by a factor of two or more.
MST's sensitivity to small-scale clustering enhances neutrino mass detection.
Abstract
The information content of the minimum spanning tree (MST), used to capture higher-order statistics and information from the cosmic web, is compared to that of the power spectrum for a CDM model. The measurements are made in redshift space using haloes from the Quijote simulation of mass in a box of length . The power spectrum multipoles (monopole and quadrupole) are computed for Fourier modes in the range . For comparison the MST is measured with a minimum length scale of . Combining the MST and power spectrum allows for many of the individual degeneracies to be broken; on its own the MST provides tighter constraints on the sum of neutrino masses and cosmological parameters , , and but…
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