REVIEW 6 cited by
A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys
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
abstract
In preparation for the next generation of galaxy redshift surveys, and in particular the year-one data release from the Dark Energy Spectroscopic Instrument (DESI), we investigate the consistency of a variety of effective field theory models that describe the galaxy-galaxy power spectra in redshift space into the quasi-linear regime using 1-loop perturbation theory. These models are employed in the pipelines \texttt{velocileptors}, \texttt{PyBird}, and \texttt{Folps$\nu$}. While these models have been validated independently, a detailed comparison with consistent choices has not been attempted. After briefly discussing the theoretical differences between the models we describe how to provide a more apples-to-apples comparison between them. We present the results of fitting mock spectra from the \texttt{AbacusSummit} suite of N-body simulations provided in three redshift bins to mimic the types of dark time tracers targeted by the DESI survey. We show that the theories behave similarly and give consistent constraints in both the forward-modeling and ShapeFit compressed fitting approaches. We additionally generate (noiseless) synthetic data from each pipeline to be fit by the others, varying the scale cuts in order to show that the models agree within the range of scales for which we expect 1-loop perturbation theory to be applicable. This work lays the foundation of Full-Shape analysis with DESI Y1 galaxy samples where in the tests we performed, we found no systematic error associated with the modeling of the galaxy redshift space power spectrum for this volume.
Forward citations
Cited by 6 Pith papers
-
The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures
A one-loop EFT power spectrum model for FRB free-electron clustering matches FLAMINGO simulations to k ~ 0.2 h/Mpc, with electron bias b_e ~ 0.92 and near-perfect electron-matter correlation.
-
Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements
One-dimensional Lyman-α forest power spectrum measurements, propagated through the ForestFlow emulator, predict three-dimensional clustering that matches DESI BAO and ACCEL-2 simulation results.
-
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...
-
Fiducial-Cosmology-dependent systematics for the DESI 2024 Full-Shape Analysis
Changing the assumed fiducial cosmology in DESI DR1 full-shape mock analyses shifts inferred parameters by at most 0.22 sigma in full-modeling and 0.45 sigma in ShapeFit, both within the survey's statistical uncertainty.
-
The Impact of Spectroscopic Redshift Errors on Cosmological Measurements
For slitless-spectroscopy surveys, a 5% catastrophic redshift failure rate biases the growth rate and primordial amplitude by 6-16% (~2.2σ) unless the failure rate is measured and included in the clustering model.
-
Anomaly detection with spiking neural networks for LHC physics
Claims spiking neural network autoencoders are competitive with conventional autoencoders for LHC anomaly detection across all signal models tested.
Discussion (0). Sign in to comment.