Pith. sign in

REVIEW 8 cited by

Blinded challenge for precision cosmology with large-scale structure: results from effective field theory for the redshift-space galaxy power spectrum

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 2003.08277 v2 pith:YU3TPZWL submitted 2020-03-18 astro-ph.CO

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

An accurate theoretical template for the galaxy power spectrum is a key for the success of ongoing and future spectroscopic surveys. We examine to what extent the Effective Field Theory of Large Scale Structure is able to provide such a template and correctly estimate cosmological parameters. To that end, we initiate a blinded challenge to infer cosmological parameters from the redshift-space power spectrum of high-resolution mock catalogs mimicking the BOSS galaxy sample but covering a hundred times larger cumulative volume. This gigantic simulation volume allows us to separate systematic bias due to theoretical modeling from the statistical error due to sample variance. The challenge task was to measure three unknown input parameters used in the simulation: the Hubble constant, the matter density fraction, and the clustering amplitude. We present analyses done by two independent teams, who have fitted the mock simulation data generated by yet another independent group. This allows us to avoid any confirmation bias by analyzers and pin down possible tuning of the specific EFT implementations. Both independent teams have recovered the true values of the input parameters within sub-percent statistical errors corresponding to the total simulation volume.

Discussion (0). Sign in to comment.

Forward citations

Cited by 8 Pith papers

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

  1. Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization

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

    Jeffreys prior over EFTofLSS coefficients mitigates projection effects in DESI DR1 power spectrum multipole fits, recentering posteriors for late-time expansion parameters.

  2. A sound horizon independent measurement of $H_0$ from BOSS, DESI and DES Y3

    astro-ph.CO 2026-02 conditional novelty 6.0 of 10

    Combining BOSS power spectrum and bispectrum with DESI and DES lensing data yields a sound-horizon-free H0 = 70.2 ± 2.3 km/s/Mpc, with a 1.8σ BAO scale deviation that is scale-cut dependent.

  3. Reanalyzing DESI DR1: 5. Cosmological Constraints with Simulation-Based Priors

    astro-ph.CO 2026-02 conditional novelty 6.0 of 10

    Simulation-based priors applied to DESI DR1 full-shape data sharpen cosmological constraints (σ8 error halved) and yield Mν<0.090 eV in w0waCDM, but the results depend on HOD modeling assumptions.

  4. One-Loop Galaxy Bispectrum: Consistent Theory, Efficient Analysis with COBRA, and Implications for Cosmological Parameters

    astro-ph.CO 2025-07 conditional novelty 6.0 of 10

    Using the COBRA basis, the one-loop EFT galaxy bispectrum runs in about one second per cosmology and recovers the input cosmology of PTChallenge simulations up to k_max = 0.15 h/Mpc (monopole) and 0.12 h/Mpc (higher m...

  5. Equivalence of the field-level inference and conventional analyses on large scales

    astro-ph.CO 2025-07 conditional novelty 6.0 of 10

    A joint power spectrum, bispectrum and trispectrum analysis achieves the same precision on the density amplitude as field-level inference for halos on large scales.

  6. 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.

  7. Anomaly detection with spiking neural networks for LHC physics

    hep-ph 2025-07 unverdicted novelty 4.0 of 10

    Claims spiking neural network autoencoders are competitive with conventional autoencoders for LHC anomaly detection across all signal models tested.

  8. 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