_version_ 1866909738446356480
author Morawetz, James
Zhang, Hanyu
Bonici, Marco
Percival, Will
Crespi, Andrea
Aguilar, Jessica Nicole
Ahlen, Steven
Bianchi, Davide
Brooks, David
Castander, Francisco Javier
Claybaugh, Todd
Cole, Shaun
Cuceu, Andrei
de la Macorra, Axel
de Mattia, Arnaud
Dey, Biprateep
Doel, Peter
Ferraro, Simone
Font-Ribera, Andreu
Forero-Romero, Jaime E.
Gaztañaga, Enrique
Gontcho, Satya Gontcho A
Gutierrez, Gaston
Hahn, ChangHoon
Honscheid, Klaus
Huterer, Dragan
Ishak, Mustapha
Joyce, Dick
Kehoe, Robert
Kirkby, David
Kisner, Theodore
Lahav, Ofer
Lambert, Andrew
Landriau, Martin
Guillou, Laurent Le
Manera, Marc
Miquel, Ramon
Mueller, Eva-Maria
Nadathur, Seshadri
Newman, Jeffrey A.
Niz, Gustavo
Palanque-Delabrouille, Nathalie
Prada, Francisco
Pérez-Ràfols, Ignasi
Rossi, Graziano
Samushia, Lado
Sanchez, Eusebio
Schlegel, David
Schubnell, Michael
Silber, Joseph Harry
Sprayberry, David
Tarlé, Gregory
Weaver, Benjamin Alan
Zarrouk, Pauline
Zhou, Rongpu
Zou, Hu
author_facet Morawetz, James
Zhang, Hanyu
Bonici, Marco
Percival, Will
Crespi, Andrea
Aguilar, Jessica Nicole
Ahlen, Steven
Bianchi, Davide
Brooks, David
Castander, Francisco Javier
Claybaugh, Todd
Cole, Shaun
Cuceu, Andrei
de la Macorra, Axel
de Mattia, Arnaud
Dey, Biprateep
Doel, Peter
Ferraro, Simone
Font-Ribera, Andreu
Forero-Romero, Jaime E.
Gaztañaga, Enrique
Gontcho, Satya Gontcho A
Gutierrez, Gaston
Hahn, ChangHoon
Honscheid, Klaus
Huterer, Dragan
Ishak, Mustapha
Joyce, Dick
Kehoe, Robert
Kirkby, David
Kisner, Theodore
Lahav, Ofer
Lambert, Andrew
Landriau, Martin
Guillou, Laurent Le
Manera, Marc
Miquel, Ramon
Mueller, Eva-Maria
Nadathur, Seshadri
Newman, Jeffrey A.
Niz, Gustavo
Palanque-Delabrouille, Nathalie
Prada, Francisco
Pérez-Ràfols, Ignasi
Rossi, Graziano
Samushia, Lado
Sanchez, Eusebio
Schlegel, David
Schubnell, Michael
Silber, Joseph Harry
Sprayberry, David
Tarlé, Gregory
Weaver, Benjamin Alan
Zarrouk, Pauline
Zhou, Rongpu
Zou, Hu
contents We perform a frequentist analysis using the standard profile likelihood method for clustering measurements from Data Release 1 of the Dark Energy Spectroscopic Instrument (DESI). While Bayesian inferences for Effective Field Theory models of galaxy clustering can be highly sensitive to the choice of priors for extended cosmological models, frequentist inferences are not susceptible to such effects. We compare Bayesian and frequentist constraints for the parameter set $\{σ_8, H_0, Ω_{\rm{m}}, w_0, w_a\}$ when fitting to the full-shape of the power spectrum multipoles, the post-reconstruction Baryon Acoustic Oscillation (BAO) measurements, as well as external datasets from the CMB and type Ia supernovae measurements. Bayesian prior effects are very significant for the $w_0w_a$CDM model; while the $1 σ$ frequentist confidence intervals encompass the maximum a posteriori (MAP), the Bayesian credible intervals almost always exclude the maximum likelihood estimate (MLE) and the MAP - indicating strong prior volume projection effects - unless supernovae data are included. We observe limited prior effects for the $Λ$CDM model, due to the reduced number of parameters. When DESI full-shape and BAO data are jointly fit, we obtain the following $1σ$ frequentist confidence intervals for $Λ$CDM ($w_0w_a$CDM): $σ_8 = 0.867^{+0.048}_{-0.041} , \ H_0 = 68.91^{+0.80}_{-0.79} \ \rm{km \ s^{-1}Mpc^{-1}} , \ Ω_{\rm{m}} = 0.3038\pm0.0110$ ($σ_8 = 0.793^{+0.069}_{-0.048} , \ H_0 = 64.9^{+4.8}_{-2.8} \ \rm{km \ s^{-1}Mpc^{-1}} , \ Ω_{\rm{m}} = 0.369^{+0.029}_{-0.059}$ , $w_0 = -0.24^{+0.17}_{-0.64}$ , $w_a = -2.5^{+1.9}_{}$), corresponding to 0.7$σ$, 0.3$σ$, 0.7$σ$ (1.9$σ$, 3.4$σ$, 5.6$σ$, 5.5$σ$, 5.6$σ$) shifts between the MLE relative to the Bayesian posterior mean for $Λ$CDM ($w_0w_a$CDM) respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2508_11811
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1
Morawetz, James
Zhang, Hanyu
Bonici, Marco
Percival, Will
Crespi, Andrea
Aguilar, Jessica Nicole
Ahlen, Steven
Bianchi, Davide
Brooks, David
Castander, Francisco Javier
Claybaugh, Todd
Cole, Shaun
Cuceu, Andrei
de la Macorra, Axel
de Mattia, Arnaud
Dey, Biprateep
Doel, Peter
Ferraro, Simone
Font-Ribera, Andreu
Forero-Romero, Jaime E.
Gaztañaga, Enrique
Gontcho, Satya Gontcho A
Gutierrez, Gaston
Hahn, ChangHoon
Honscheid, Klaus
Huterer, Dragan
Ishak, Mustapha
Joyce, Dick
Kehoe, Robert
Kirkby, David
Kisner, Theodore
Lahav, Ofer
Lambert, Andrew
Landriau, Martin
Guillou, Laurent Le
Manera, Marc
Miquel, Ramon
Mueller, Eva-Maria
Nadathur, Seshadri
Newman, Jeffrey A.
Niz, Gustavo
Palanque-Delabrouille, Nathalie
Prada, Francisco
Pérez-Ràfols, Ignasi
Rossi, Graziano
Samushia, Lado
Sanchez, Eusebio
Schlegel, David
Schubnell, Michael
Silber, Joseph Harry
Sprayberry, David
Tarlé, Gregory
Weaver, Benjamin Alan
Zarrouk, Pauline
Zhou, Rongpu
Zou, Hu
Cosmology and Nongalactic Astrophysics
We perform a frequentist analysis using the standard profile likelihood method for clustering measurements from Data Release 1 of the Dark Energy Spectroscopic Instrument (DESI). While Bayesian inferences for Effective Field Theory models of galaxy clustering can be highly sensitive to the choice of priors for extended cosmological models, frequentist inferences are not susceptible to such effects. We compare Bayesian and frequentist constraints for the parameter set $\{σ_8, H_0, Ω_{\rm{m}}, w_0, w_a\}$ when fitting to the full-shape of the power spectrum multipoles, the post-reconstruction Baryon Acoustic Oscillation (BAO) measurements, as well as external datasets from the CMB and type Ia supernovae measurements. Bayesian prior effects are very significant for the $w_0w_a$CDM model; while the $1 σ$ frequentist confidence intervals encompass the maximum a posteriori (MAP), the Bayesian credible intervals almost always exclude the maximum likelihood estimate (MLE) and the MAP - indicating strong prior volume projection effects - unless supernovae data are included. We observe limited prior effects for the $Λ$CDM model, due to the reduced number of parameters. When DESI full-shape and BAO data are jointly fit, we obtain the following $1σ$ frequentist confidence intervals for $Λ$CDM ($w_0w_a$CDM): $σ_8 = 0.867^{+0.048}_{-0.041} , \ H_0 = 68.91^{+0.80}_{-0.79} \ \rm{km \ s^{-1}Mpc^{-1}} , \ Ω_{\rm{m}} = 0.3038\pm0.0110$ ($σ_8 = 0.793^{+0.069}_{-0.048} , \ H_0 = 64.9^{+4.8}_{-2.8} \ \rm{km \ s^{-1}Mpc^{-1}} , \ Ω_{\rm{m}} = 0.369^{+0.029}_{-0.059}$ , $w_0 = -0.24^{+0.17}_{-0.64}$ , $w_a = -2.5^{+1.9}_{}$), corresponding to 0.7$σ$, 0.3$σ$, 0.7$σ$ (1.9$σ$, 3.4$σ$, 5.6$σ$, 5.5$σ$, 5.6$σ$) shifts between the MLE relative to the Bayesian posterior mean for $Λ$CDM ($w_0w_a$CDM) respectively.
title Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2508.11811