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19972026
most citedThe Average Star Formation Histories of Galaxies in Dark Matter Halos from z=0-8

2.2k citations · 58.9k across the 424 of their papers we have counts for

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243 papers · 1 filter

astro-ph.CO2026

Probing Projection Effects in Optically-Selected Clusters with Velocity Dispersions Outliers

K. Graham, T. E. Jeltema, C. -H. To +8

The evolution of galaxy cluster abundance is a powerful probe of cosmology, but its efficacy depends on our ability to understand and control for systematics in the selection and m…

astro-ph.CO2026

Warm, not Fuzzy: Generalized Ultralight Dark Matter Limits from Milky Way Satellites

Ethan O. Nadler, Mustafa A. Amin, Risa H. Wechsler +3

We generalize lower limits on the dark matter (DM) particle mass derived from Milky Way (MW) satellite galaxy abundances to scenarios in which DM is an ultralight scalar field…

astro-ph.CO2026

Exploring gas thermodynamics around galaxies from the Sunyaev-Zel'dovich effects: impact of galaxy-halo connection, 2D projection and velocity field

Sadaf Kadir, Bernardita Ried Guachalla, Sihan Yuan +2

A complete picture of the gas thermodynamics around galaxies is imprinted on the cosmic microwave background (CMB). Indeed, the thermal, kinematic, and relativistic Sunyaev-Zel'dov…

astro-ph.CO2026

Joint analysis of small-scale galaxy clustering and galaxy--galaxy lensing from BOSS galaxies

Wenhao Gao, Zhenjie Liu, Zhongxu Zhai +8

We present a joint analysis of galaxy clustering and galaxy--galaxy lensing measurements from BOSS galaxies using a simulation-based emulation method combined with a halo occupatio…

astro-ph.CO2025

Cosmological Constraints from Full-Scale Clustering and Galaxy-Galaxy Lensing with DESI DR1

Johannes U. Lange, Alexandra Wells, Andrew Hearin +76

We present constraints on cosmic structure growth from the analysis of galaxy clustering and galaxy--galaxy lensing with galaxies from the Dark Energy Spectroscopic Instrument (DES…

astro-ph.CO2025★ 2 cited

Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design

A. Thomsen, J. Bucko, T. Kacprzak +99

Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…