Kavli Affiliate: Jia Liu
| First 5 Authors: James Sunseri, Adrian E. Bayer, Jia Liu, ,
| Summary:
We study the cosmological information contained in the cosmic web,
categorized as four structure types: nodes, filaments, walls, and voids, using
the Quijote simulations and a modified nexus+ algorithm. We show that splitting
the density field by the four structure types and combining the power spectrum
in each provides much tighter constraints on cosmological parameters than using
the power spectrum without splitting. We show the rich information contained in
the cosmic web structures — related to the Hessian of the density field — for
measuring all of the cosmological parameters, and in particular for
constraining neutrino mass. We study the constraints as a function of Fourier
scale, configuration space smoothing scale, and the underlying field. For the
matter field with $k_{rm max}=0.5,h/{rm Mpc}$, we find a factor of
$times20$ tighter constraints on neutrino mass when using smoothing scales
larger than 12.5~Mpc/$h$, and $times80$ tighter when using smoothing scales
down to 1.95~Mpc/$h$. However, for the CDM+Baryon field we observe a more
modest $times1.7$ or $times3.6$ improvement, for large and small smoothing
scales respectively. We release our new python package for identifying cosmic
structures pycosmmommf at https://github.com/James11222/pycosmommf to enable
future studies of the cosmological information of the cosmic web.
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