Pith. sign in

REVIEW 5 cited by

Fundamental physics with the Lyman-alpha forest: constraints on the growth of structure and neutrino masses from SDSS with effective field theory

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 2405.13208 v2 pith:EW6RQKM5 submitted 2024-05-21 astro-ph.CO hep-phhep-th

classification astro-ph.COhep-phhep-th
keywords datalyman-alphacosmologicalforestparametersanalysisassumingconstraints
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

We present an effective field theory (EFT) approach to extract fundamental cosmological parameters from the Lyman-alpha forest flux fluctuations as an alternative to the standard simulation-based techniques. As a first application, we re-analyze the publicly available one-dimensional Lyman-alpha flux power spectrum data from the Sloan Digital Sky Survey. Our analysis relies on informative priors on EFT parameters which we extract from a combination of public hydrodynamic simulation and emulator data. Assuming the concordance cosmological model, our one-parameter analysis yields a $2\%$ measurement of the late time mass fluctuation amplitude $\sigma_8 = 0.841\pm 0.017$, or equivalently, the structure growth parameter $S_8 = 0.852\pm 0.017$, consistent with the standard cosmology. This result is obtained assuming that non-linear EFT parameters are cosmology-independent functions of the linear bias parameter. When this assumption is loosened, the limit degrades by a factor of 3, suggesting that informative priors are necessary for competitive constraints. Combining our EFT likelihood with Planck + baryon acoustic oscillation data, we find a new constraint on the total neutrino mass, $\sum m_\nu<$ 0.08 eV (at 95\% CL). Our study defines priorities for the development of EFT methods and sets the benchmark for cosmological analyses of the Lyman-alpha forest data from the Dark Energy Spectroscopic Instrument.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 5 Pith papers

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

  1. Modeling the Cosmological Lyman-$\alpha$ Forest at the Field Level

    astro-ph.CO 2025-06 conditional novelty 7.0 of 10

    An effective-field-theory forward model reproduces the Lyman-alpha forest field from a hydrodynamic simulation at percent level, down to a few megaparsecs, using the same initial conditions.

  2. Constraining Dynamical Dark Energy from Galaxy Clustering with Simulation-Based Priors

    astro-ph.CO 2025-06 conditional novelty 7.0 of 10

    Adding BOSS galaxy clustering with simulation-based priors modeled as Gaussian mixtures shifts the DESI plus CMB plus supernova constraints on dark energy toward a cosmological constant and improves the w0-wa figure o...

  3. Reanalyzing DESI DR1: 4. Percent-Level Cosmological Constraints from Combined Probes and Robust Evidence for the Normal Neutrino Mass Hierarchy

    astro-ph.CO 2026-01 conditional novelty 6.0 of 10

    A combined-analysis of DESI galaxy clustering, CMB lensing, BAO, CMB, and supernovae yields percent-level Lambda-CDM parameters, improved dark-energy figure-of-merit, and neutrino-mass bounds that disfavor the inverte...

  4. Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field

    astro-ph.CO 2025-12 conditional novelty 6.0 of 10

    A hybrid EFT forward model using N-body displacements reproduces the simulated Lyman-alpha forest to 5% at k <= 1 h/Mpc with a white-noise residual.

  5. GGI Lectures on Large-Scale Structure Perturbation Theory (Effective Field Theory)

    astro-ph.CO 2026-07 accept novelty 2.0 of 10

    Pedagogical notes derive large-scale-structure EFT from symmetries, covering SPT failures, BAO IR resummation, counterterms, galaxy bias, redshift-space distortions, and Lagrangian PT.

Pith tools