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20012026
most citedThe Atlas3D project -- I. A volume-limited sample of 260 nearby early-type galaxies: science goals and selection criteria

1.1k citations · 19k across the 166 of their papers we have counts for

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astro-ph.CO2026

Not all those missing are lost: leveraging galaxy clustering in incomplete catalogs to unleash dark sirens cosmology

Riccardo Barbieri, Marios Kalomenopoulos, Matteo Tagliazucchi +2

Gravitational waves offer a unique opportunity to solve the Hubble tension. In order to do so, we have to extract as much information as possible from cross correlating gravitation…

astro-ph.CO2025

Clustering effects on the Dark Siren determination of : A simulation study

Marios Kalomenopoulos, Riccardo Barbieri, Sadegh Khochfar +2

Gravitational waves (GWs) offer an alternative way to measure the Hubble parameter. The optimal technique, the ``bright siren'' approach, requires the identification of an electrom…

astro-ph.CO2025

Massive black holes or stars first: the key is the residual cosmic electron fraction

Muhammad A. Latif, Sadegh Khochfar

Recent James Webb Space Telescope observations have unveiled that the first supermassive black holes (SMBHs) were in place at z 10, a few hundred Myrs after the Big Bang. Th…

astro-ph.CO2022

The fate of baryons in counterfactual universes

Boon Kiat Oh, John A. Peacock, Sadegh Khochfar +1

We present results from nine simulations that compare the standard Cold Dark Matter cosmology (CDM) with counterfactual universes, for approximately using t…

astro-ph.CO2022★ 3 cited

The Cosmic Mach Number as an Environment Measure for the Underlying Dark Matter Density Field

Romain Meriot, Sadegh Khochfar, Jose Onorbe +1

Using cosmological dark matter only simulations of a Gpc volume from the Legacy simulation project, we calculate Cosmic Mach Numbers (CMN) and perform a theoretical i…

astro-ph.CO2021

QUOTAS: A new research platform for the data-driven investigation of black holes

Priyamvada Natarajan, Kwok Sun Tang, Robert McGibbon +7

We present QUOTAS, a novel research platform for the data-driven investigation of super-massive black hole (SMBH) populations. While SMBH data sets -- observations and simulations…