activity
20242026
collaborators

7 papers

astro-ph.CO2026

Cosmological Concordance in an Especially Opaque Universe: A Tentative Cosmological Detection of Physical Neutrino Mass in CDM

James M. Sullivan, Roger de Belsunce, Mikhail M. Ivanov

The measurement of the sum of neutrino masses is among the primary promises of precision cosmology, achievable by combining complementary early- and late-Universe probes. However,…

physics.ao-ph2026

CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview

Neelesh Rampal, José González-Abad, Henry Addison +34

Machine learning (ML) has emerged as a cost-effective approach to complement dynamical downscaling for producing high-resolution regional climate projections. However, the absence…

physics.ao-ph2026

Climate Downscaling with Stochastic Interpolants (CDSI)

Erik Larsson, Ramon Fuentes-Franco, Mikhail Ivanov +1

Global climate projections rely on computationally demanding Earth System Models (ESMs), which are typically limited to coarse spatial resolutions due to their high cost. To obtain…

astro-ph.CO2025

Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field

Roger de Belsunce, Boryana Hadzhiyska, Mikhail M. Ivanov

The Lyman-alpha (Lya) forest is a unique probe of cosmology and the intergalactic medium at high redshift and small scales. The statistical power of the ongoing Dark Energy Spectro…

astro-ph.CO2025

Modeling the Cosmological Lyman- Forest at the Field Level

Roger de Belsunce, Mikhail M. Ivanov, James M. Sullivan +2

The distribution of absorption lines in the spectra of distant quasars, called the Lyman- (Ly-) forest, is a unique probe of cosmology and the intergalactic medium at high…

astro-ph.CO2025

Measuring and unbiasing the BAO shift in the Lyman-Alpha forest with AbacusSummit

Boryana Hadzhiyska, Roger de Belsunce, Andrei Cuceu +4

The currently observing Dark Energy Spectroscopic Instrument (DESI) places sub-percent constraints on the Baryon Acoustic Oscillations (BAO) scaling parameters from the Lyman-