Pith. sign in

REVIEW 2 cited by

Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2001.11024 v1 pith:OTWDUGKH submitted 2020-01-29 astro-ph.CO

classification astro-ph.CO
keywords powerspectrummarkeddensityneutrinoregionsconstraintcosmological
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Cosmological neutrinos have their greatest influence in voids: these are the regions with the highest neutrino to dark matter density ratios. The marked power spectrum can be used to emphasize low density regions over high density regions, and therefore is potentially much more sensitive than the power spectrum to the effects of neutrino masses. Using 22,000 N-body simulations from the Quijote suite, we quantify the information content in the marked power spectrum of the matter field, and show that it outperforms the standard power spectrum by setting constraints improved by a factor larger than 2 on all cosmological parameters. The combination of marked and standard power spectrum allows to place a 4.3{\sigma} constraint on the minimum sum of the neutrino masses with a volume equal to 1 (Gpc/h)^3 and without CMB priors. Combinations of different marked power spectra yield a 6{\sigma} constraint within the same conditions.

Discussion (0). Sign in to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    Hermes/PyHermes reconstructs catalogues in a scaling-function basis and unifies CIC, 2PCF, 3PCF, marked, and operator-based cosmic statistics as reusable window operations with FFT/MPI/GPU scaling.

  2. Renormalized Perturbation Theory at Field-level: the LSS bootstrap in GridSPT

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A renormalized field-level perturbation theory is shown to recover the LSS bootstrap parameter consistently across different grid cutoffs, validated at third and fifth order against N-body simulations.

Pith tools