activity
20232026
most citedEvidence for large baryonic feedback at low and intermediate redshifts from kinematic Sunyaev-Zel'dovich observations with ACT and DESI photometric galaxies

14 citations · 24 across the 4 of their papers we have counts for

collaborators

6 papers

astro-ph.CO2026

Peering Beyond the Veil of Last Scattering: A View of the Universe with CMB Spectral Distortions

Bryce Cyr, Nabila Aghanim, Ethan Baker +37

The frequency spectrum of the cosmic microwave background is the most precise blackbody ever measured in nature, with deviations constrained at the level of almost one part per mil…

astro-ph.CO2025

Weak Lensing Mass Calibration of the ACT DR5 Galaxy Clusters with the DES Year 3 Weak Lensing Data

T. Shin, E. J. Baxter, E. Lee +93

We use weak gravitational lensing measurements from Year 3 Dark Energy Survey data to calibrate the masses of 443 galaxy clusters selected via the Sunyaev-Zel'dovich effect from At…

astro-ph.CO2025★ 10 cited

The Atacama Cosmology Telescope: DR6 Sunyaev-Zel'dovich Selected Galaxy Clusters Catalog

HSC Collaboration, M. Aguena, S. Aiola +98

We present the results of a search for galaxy clusters in the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) microwave sky maps covering 16293 square degrees in three frequ…

astro-ph.CO2024★ 14 cited

Evidence for large baryonic feedback at low and intermediate redshifts from kinematic Sunyaev-Zel'dovich observations with ACT and DESI photometric galaxies

B. Hadzhiyska, S. Ferraro, B. Ried Guachalla +70

Recent advances in cosmological observations have provided an unprecedented opportunity to investigate the distribution of baryons relative to the underlying matter. In this work,…

astro-ph.CO2024

A complete framework for cosmological emulation and inference with CosmoPower

H. T. Jense, I. Harrison, E. Calabrese +4

We present a coherent, re-usable python framework which further builds on the cosmological emulator code CosmoPower. In the current era of high-precision cosmology, we require high…

astro-ph.IM2023

class_sz I: Overview

B. Bolliet, A. Kusiak, F. McCarthy +16

class_sz is a versatile and robust code in C and Python that can compute theoretical predictions for a wide range of observables relevant to cross-survey science in the Stage IV er…