DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data

DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data

7 May 2024 | R. Calderon, K. Lodha, A. Shafieloo, E. Linder, W. Sohn, A. de Mattia, J. L. Cervantes-Cota, R. Crittenden, T. M. Davis, M. Ishak, A. G. Kim, W. Matthewson, G. Niz, S. Park, J. Aguilar, S. Ahlen, S. Allen, D. Brooks, T. Claybaugh, A. de la Macorra, A. Dey, B. Dey, P. Doel, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, K. Honscheid, C. Howlett, S. Juneau, A. Kremin, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, R. Miquel, J. Moustakas, J. A. Newman, N. Palanque-Delabrouille, W. J. Percival, C. Poppett, F. Prada, M. Rezaie, G. Rossi, V. Ruhlmann-Kleider, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, D. Sprayberry, G. Tarlé, P. Taylor, M. Vargas-Magaña, B. A. Weaver, P. Zarrouk, H. Zou
This paper presents a study using Crossing Statistics to reconstruct the expansion history of the universe and the properties of dark energy, leveraging DESI Data Release 1 (DR1) Baryon Acoustic Oscillation (BAO) data combined with different supernova compilations (PantheonPlus, Union3, and DES-SN5YR) and Planck Cosmic Microwave Background (CMB) observations. The authors employ a model-agnostic approach, using Chebyshev polynomials to expand the equation of state \( w(z) \) and the effective dark energy density \( f_{\text{DE}}(z) \). The results suggest an evolving and emergent behavior of dark energy, with a negligible presence at \( z \geq 1 \), and a cosmological constant lying outside the 95% confidence intervals for some redshift ranges. The findings are consistent with the conventional \( w_0 - w_a \) dark energy equation of state parametrization reported in the DESI Key Cosmology paper. The study also provides constraints on the Hubble constant \( H_0 r_d \) and supports the idea of a slowing down of cosmic acceleration at low redshifts. The results add to the understanding of dark energy behavior and provide a model-agnostic reconstruction framework.This paper presents a study using Crossing Statistics to reconstruct the expansion history of the universe and the properties of dark energy, leveraging DESI Data Release 1 (DR1) Baryon Acoustic Oscillation (BAO) data combined with different supernova compilations (PantheonPlus, Union3, and DES-SN5YR) and Planck Cosmic Microwave Background (CMB) observations. The authors employ a model-agnostic approach, using Chebyshev polynomials to expand the equation of state \( w(z) \) and the effective dark energy density \( f_{\text{DE}}(z) \). The results suggest an evolving and emergent behavior of dark energy, with a negligible presence at \( z \geq 1 \), and a cosmological constant lying outside the 95% confidence intervals for some redshift ranges. The findings are consistent with the conventional \( w_0 - w_a \) dark energy equation of state parametrization reported in the DESI Key Cosmology paper. The study also provides constraints on the Hubble constant \( H_0 r_d \) and supports the idea of a slowing down of cosmic acceleration at low redshifts. The results add to the understanding of dark energy behavior and provide a model-agnostic reconstruction framework.
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