activity
20022026
most citedNeutrino Physics from the Cosmic Microwave Background and Large Scale Structure

282 citations · 995 across the 23 of their papers we have counts for

collaborators

23 papers

astro-ph.CO2026

Remembering George Smoot

John Berliner, Tom Broadhurst, Martin Bucher +31

George Smoot (1945-2025) was a major figure in observational cosmology, particularly through his role in the precision measurement of the CMB dipole and the discovery of the primor…

astro-ph.IM2026

A Probabilistic Autoencoder for Galaxy SED Reconstruction and Redshift Estimation: Application to Mock SPHEREx Spectrophotometry

Richard M. Feder, Liam Parker, Uroš Seljak

We present a probabilistic autoencoder (PAE) framework for galaxy spectral energy distribution (SED) modeling and redshift estimation, applied to synthetic SPHEREx 102-band spectro…

astro-ph.GA2026★ 1 cited

The Age of the Universe with Globular Clusters IV: Multiple Stellar Populations

David Valcin, Raul Jimenez, Carmela Lardo +2

We revisit the determination of the age of the Universe from galactic globular clusters, extending previous analyses by explicitly accounting for the presence of multiple stellar p…

physics.med-ph2026

Radiological mapping and uncertainty quantification by a fast Microcanonical Langevin Monte Carlo sampler

Lei Pan, Jaewon Lee, Brian J. Quiter +3

Radiological mapping plays a critical role in nuclear emergency response and environmental management activities. A radiation image, representing the spatial and intensity distribu…

gr-qc2026

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis

Argyro Sasli, Minas Karamanis, Nikolaos Karnesis +4

Many traditional algorithms applied in gravitational-wave astronomy rely on the assumption of Gaussian noise, a condition not always met. To meet this need, this study extends a ro…

stat.ML2026

Counterdiabatic Hamiltonian Monte Carlo

Reuben Cohn-Gordon, Uroš Seljak, Dries Sels

Hamiltonian Monte Carlo (HMC) is a state of the art method for sampling from distributions with differentiable densities, but can converge slowly when applied to challenging multim…