We constrain oscillatory features in the primordial power spectrum using the public DESI DR1 galaxy and quasar clustering data. Our analysis is based on a custom pipeline for the redshift-space power spectrum and bispectrum of the six main DESI DR1 tracers, modeled with the Lagrangian effective field theory,which provi...
Shi-Fan Chen, A. Chudaykin, Mikhail M. Ivanov et al.· 0 citations
We carry out a search for the relative baryon-cold dark matter (CDM) density and velocity modes in the DESI full-shape (FS) data, and investigate whether DESI's preference for evolving dark energy can be affected by these relative perturbations, which are a known contaminant of the baryon acoustic oscillations. For the...
Ananda F. Smith, Mikhail M. Ivanov, R. de Belsunce et al.· 0 citations
The LNCA is introduced, a hybrid deep learning framework that can be applied to emulate structure formation as a local, iterative dynamical process on a comoving lattice, and constrain the model to produce complete trajectories, not just final states, by adopting an equivariant cellular automaton architecture.
Cooper Jacobus, Beatriz Tucci, O. Philcox· arXiv.org· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.