Extended Dark Energy analysis using DESI DR2 BAO measurements
K. Lodha, R. Calderon, W. L. Matthewson, A. Shafieloo, M. Ishak, J. Pan, C. Garcia-Quintero, D. Huterer, G. Valogiannis, L. A. Ureña-López, N. V. Kamble, D. Parkinson, A. G. Kim, G. B. Zhao, J. L. Cervantes-Cota, J. Rohlf, F. Lozano-Rodríguez, J. O. Román-Herrera, M. Abdul-Karim, J. Aguilar, S. Ahlen, O. Alves, U. Andrade, E. Armengaud, A. Aviles, S. BenZvi, D. Bianchi, A. Brodzeller, D. Brooks, E. Burtin, R. Canning, A. Carnero Rosell, L. Casas, F. J. Castander, M. Charles, E. Chaussidon, J. Chaves-Montero, D. Chebat, T. Claybaugh, S. Cole, A. Cuceu, K. S. Dawson, A. de la Macorra, A. de Mattia, N. Deiosso, R. Demina, Arjun Dey, Biprateep Dey, Z. Ding, P. Doel, D. J. Eisenstein, W. Elbers, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, Lehman H. Garrison, E. Gaztañaga, H. Gil-Marín, S. Gontcho A Gontcho, A. X. Gonzalez-Morales, G. Gutierrez, J. Guy, C. Hahn, M. Herbold, H. K. Herrera-Alcantar, K. Honscheid, C. Howlett, S. Juneau, R. Kehoe, D. Kirkby, T. Kisner, A. Kremin, O. Lahav, C. Lamman, M. Landriau, L. Le Guillou, A. Leauthaud, M. E. Levi, Q. Li, C. Magneville, M. Manera, P. Martini, A. Meisner, J. Mena-Fernández, R. Miquel, J. Moustakas, D. Muñoz Santos, A. Muñoz-Gutiérrez, A. D. Myers, S. Nadathur, G. Niz, H. E. Noriega, E. Paillas, N. Palanque-Delabrouille, W. J. Percival, Matthew M. Pieri, C. Poppett, F. Prada, A. Pérez-Fernández, I. Pérez-Ràfols, C. Ramírez-Pérez, M. Rashkovetskyi, C. Ravoux, A. J. Ross, G. Rossi, V. Ruhlmann-Kleider, L. Samushia, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, F. Sinigaglia, D. Sprayberry, T. Tan, G. Tarlé, P. Taylor, W. Turner, M. Vargas-Magaña, M. Walther, B. A. Weaver, M. Wolfson, C. Yèche, P. Zarrouk, R. Zhou, H. Zou
TL;DR
This work extends the DESI DR2 BAO dark energy analysis by combining DESI BAO with Planck CMB and multiple SN Ia datasets to test evolving dark energy. It employs both parametric (multiple two-parameter w(z) forms and Chebyshev crossing statistics) and non-parametric (binning and Gaussian Process) reconstructions, consistently finding that a two-parameter w0w_aCDM description captures the data well and that phantom crossing is favored at low redshift. Across methods, the results show deviations from ΛCDM in the late-time expansion history, with Om(z) and q(z) diagnostics supporting dynamical behavior; however, evidence for crossing is not unambiguous and depends on the dataset and method. Model comparisons indicate strong preference for dynamical DE, particularly the mirage direction in the w0–wa plane, while future surveys and cross-checks with Euclid/Rubin will be crucial to confirm these findings and reveal potential underlying physics.
Abstract
We conduct an extended analysis of dark energy constraints, in support of the findings of the DESI DR2 cosmology key paper, including DESI data, Planck CMB observations, and three different supernova compilations. Using a broad range of parametric and non-parametric methods, we explore the dark energy phenomenology and find consistent trends across all approaches, in good agreement with the $w_0w_a$CDM key paper results. Even with the additional flexibility introduced by non-parametric approaches, such as binning and Gaussian Processes, we find that extending $Λ$CDM to include a two-parameter $w(z)$ is sufficient to capture the trends present in the data. Finally, we examine three dark energy classes with distinct dynamics, including quintessence scenarios satisfying $w \geq -1$, to explore what underlying physics can explain such deviations. The current data indicate a clear preference for models that feature a phantom crossing; although alternatives lacking this feature are disfavored, they cannot yet be ruled out. Our analysis confirms that the evidence for dynamical dark energy, particularly at low redshift ($z \lesssim 0.3$), is robust and stable under different modeling choices.
