REVIEW 9 cited by
Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies
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
Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies
read the original abstract
Effective field theory (EFT)-based full-shape analysis with simulation-based priors (SBPs) is a novel approach to galaxy clustering data analysis, which significantly boosts the constraining power by efficiently incorporating field-level simulation information from small scales. So far, SBPs have been mostly extracted from a large set of mock catalogs generated with the Halo Occupation Distribution (HOD) approach. We show that given a halo mass function model and assuming that the EFT parameters of halos depend only on the peak height, HOD-based priors can be computed analytically for the standard 7-parameter HOD model. We derive the relevant expressions for deterministic EFT parameters from the halo model. The halo model, however, fails to accurately describe stochastic EFT parameters, for which we use a physically motivated phenomenological prescription. We compare our analytic priors with simulations and find an excellent agreement. Our approach provides analytic insights into the physics behind the EFT parameters of galaxies, and allows one to reduce the computation time of SBPs to virtually nothing. As an application, we produce a set of 100,000 EFT parameters by sampling both HOD and cosmological models, and explicitly demonstrate that any cosmology dependence can be completely absorbed by relatively minor shifts of the HOD parameters. Our approach can be generalized to other variants of the HOD and cosmological models beyond $\Lambda$CDM.
Forward citations
Cited by 9 Pith papers
-
Probing nonlinear structure formation beyond $\Lambda$CDM with the LSS bootstrap: a joint power spectrum and bispectrum analysis
First MCMC constraints on LSS bootstrap parameters yield ~7% precision on linear growth modifications and ~57% on quadratic kernel modifications from BOSS data, improving to 1% and 25% with larger simulations.
-
Simulation-Based Priors for HI Bias from Halo Occupation Physics
A conditional normalizing flow learned from two simulation suites maps HI halo-occupation parameters to EFT bias parameters, producing correlated non-Gaussian priors that are much tighter than flat priors for 21 cm analyses.
-
Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization
A hybrid Jeffreys+baseline prior removes multi-σ prior-volume projection in DESI DR1 full-shape fits of H0, w0, and wa, yielding late-time expansion constraints consistent with HOD-informed Bayesian and frequentist analyses.
-
Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization
Jeffreys prior over EFTofLSS coefficients mitigates projection effects in DESI DR1 power spectrum multipole fits, recentering posteriors for late-time expansion parameters.
-
Floquet Dissipative Phase Transitions
Dissipative phase transitions in Floquet open systems are defined through the Floquet propagator spectrum, with applications to driven Kerr resonators and the quantum Rabi model.
-
Reanalyzing DESI DR1: 5. Cosmological Constraints with Simulation-Based Priors
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.
-
Reanalyzing DESI DR1: 4. Percent-Level Cosmological Constraints from Combined Probes and Robust Evidence for the Normal Neutrino Mass Hierarchy
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...
-
Reanalyzing DESI DR1: 2. Constraints on Dark Energy, Spatial Curvature, and Neutrino Masses
Reanalysis of DESI full-shape clustering data tightens constraints on neutrino mass, spatial curvature, and dark energy equation-of-state parameters relative to BAO-only results.
-
GGI Lectures on Large-Scale Structure Perturbation Theory (Effective Field Theory)
Pedagogical notes derive large-scale-structure EFT from symmetries, covering SPT failures, BAO IR resummation, counterterms, galaxy bias, redshift-space distortions, and Lagrangian PT.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.