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arXiv · 2504.10407

Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors

Abstract

We present an analysis of DESI Data Release 1 (DR1) that incorporates Halo Occupation Distribution (HOD)-informed priors into Full-Shape (FS) modeling of the power spectrum based on cosmological perturbation theory (PT). By leveraging physical insights from the galaxy-halo connection, these HOD-informed priors on nuisance parameters substantially mitigate projection effects in extended cosmological models that allow for dynamical dark energy. The resulting credible intervals now encompass the posterior maximum from the baseline analysis using gaussian priors, eliminating a significant posterior shift observed in baseline studies. In the $\Lambda$CDM framework, a combined DESI DR1 FS information and constraints from the DESI DR1 baryon acoustic oscillations (BAO)-including Big Bang Nucleosynthesis (BBN) constraints and a weak prior on the scalar spectral index-yields $\Omega_{\rm m} = 0.2994\pm 0.0090$ and $\sigma_8 = 0.836^{+0.024}_{-0.027}$, representing improvements of approximately 4% and 23% over the baseline analysis, respectively. For the $w_0w_a$CDM model, our results from various data combinations are highly consistent, with all configurations converging to a region with $w_0 > -1$ and $w_a < 0$. This convergence not only suggests intriguing hints of dynamical dark energy but also underscores the robustness of our HOD-informed prior approach in delivering reliable cosmological constraints.

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Hanyu Zhang, Marco Bonici, Antoine Rocher, Will J. Percival, Arnaud de Mattia, Jessica Nicole Aguilar, Steven Ahlen, Otávio Alves, Alejandro Aviles, Anton Baleato Lizancos, Davide Bianchi, David Brooks, Andrei Cuceu, Axel de la Macorra, Peter Doel, Simone Ferraro, Nathan Findlay, Andreu Font-Ribera, Daniel Felipe Forero Sánchez, Jaime E. Forero-Romero, Satya Gontcho A Gontcho, Gaston Gutierrez, ChangHoon Hahn, Cullan Howlett, Mustapha Ishak, Minas Karamanis, Robert Kehoe, David Kirkby, Anthony Kremin, Ofer Lahav, Yan Lai, Martin Landriau, Laurent Le Guillou, Michael Levi, Marc Manera, Mark Lennard Maus, Aaron Meisner, Ramon Miquel, James Morawetz, John Moustakas, Seshadri Nadathur, Jeffrey A. Newman, Gustavo Niz, Hernan Enrique Noriega, Nathalie Palanque-Delabrouille, Mathilde Pinon, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Shun Saito, Lado Samushia, Eusebio Sanchez, David Schlegel, Michael Schubnell, Hee-Jong Seo, David Sprayberry, Gregory Tarlé, Benjamin Alan Weaver, Ruiyang Zhao, Rongpu Zhou. 2025-04-14. Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors. https://arxiv.org/abs/2504.10407

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