Semantic Scholar Open Access 2024 141 sitasi

DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data

R. Calderon K. Lodha A. Shafieloo E. Linder W. Sohn +50 lainnya

Abstrak

We implement Crossing Statistics to reconstruct in a model-agnostic manner the expansion history of the universe and properties of dark energy, using DESI Data Release 1 (DR1) BAO data in combination with one of three different supernova compilations (PantheonPlus, Union3, and DES-SN5YR) and Planck CMB observations. Our results hint towards an evolving and emergent dark energy behaviour, with negligible presence of dark energy at z ≳ 1, at varying significance depending on data sets combined. In all these reconstructions, the cosmological constant lies outside the 95% confidence intervals for some redshift ranges. This dark energy behaviour, reconstructed using Crossing Statistics, is in agreement with results from the conventional w 0–w a dark energy equation of state parametrization reported in the DESI Key cosmology paper. Our results add an extensive class of model-agnostic reconstructions with acceptable fits to the data, including models where cosmic acceleration slows down at low redshifts. We also report constraints on H 0 r d from our model-agnostic analysis, independent of the pre-recombination physics.

Topik & Kata Kunci

Penulis (55)

R

R. Calderon

K

K. Lodha

A

A. Shafieloo

E

E. Linder

W

W. Sohn

A

A. de Mattia

J

J. Cervantes-Cota

R

R. Crittenden

T

T. Davis

M

M. Ishak

A

A. Kim

W

W. Matthewson

G

G. Niz

S

S. Park

J

J. Aguilar

S

S. Ahlen

S

S. Allen

D

D. Brooks

T

T. Claybaugh

A

A. de la Macorra

A

A. Dey

B

B. Dey

P

P. Doel

J

J. Forero-Romero

E

E. Gaztañaga

S

S. Gontcho

K

K. Honscheid

C

C. Howlett

S

S. Juneau

A

A. Kremin

M

M. Landriau

L

L. Le Guillou

M

M. Levi

M

M. Manera

R

R. Miquel

J

J. Moustakas

J

J. Newman

N

N. Palanque-Delabrouille

W

W. Percival

C

C. Poppett

F

F. Prada

M

M. Rezaie

G

G. Rossi

V

V. Ruhlmann-Kleider

E

E. Sanchez

D

D. Schlegel

M

M. Schubnell

H

H. Seo

D

D. Sprayberry

G

G. Tarlé

P

P. Taylor

M

M. Vargas-Magaña

B

B. Weaver

P

P. Zarrouk

H

H. Zou

Format Sitasi

Calderon, R., Lodha, K., Shafieloo, A., Linder, E., Sohn, W., Mattia, A.d. et al. (2024). DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data. https://doi.org/10.1088/1475-7516/2024/10/048

Akses Cepat

Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
141×
Sumber Database
Semantic Scholar
DOI
10.1088/1475-7516/2024/10/048
Akses
Open Access ✓