activity
20002026
most citedFormation of Massive Primordial Stars in a Reionized Gas

103 citations · 359 across the 29 of their papers we have counts for

collaborators

29 papers

astro-ph.GA2026

Supermassive Black Hole Assembly from Heavy Seeds with Dynamical Friction in the BRAHMA Simulations: Implications for JWST, LISA, and the Local Universe

Aklant K. Bhowmick, Laura Blecha, Paul Torrey +8

The JWST discoveries of supermassive black holes (BHs) at may provide key insights into their seeding origins. Using new BRAHMA cosmological sim…

astro-ph.GA2026

Learning the Universe at High Redshifts: Impact of Accretion Modeling on Early Black Hole Growth

Jonathan Kho, Aklant K. Bhowmick, Rainer Weinberger +8

JWST discoveries of the earliest () supermassive black holes (BHs, ) challenge the BH seeding and accretion models of most cosmol…

astro-ph.GA2026

Learning the Universe with PRFM-vol: Introducing a new subgrid model for star formation in cosmological simulations

Jan D. Burger, Volker Springel, Eve C. Ostriker +7

We introduce PRFM-vol, a new subgrid model for star formation in cosmological simulations that aims to increase the physical realism of cosmological simulations by leveraging resul…

astro-ph.GA2026

The evolution of the baryonic content and mass profiles of satellite galaxies in the MTNG simulations

Sergio Contreras, Raul E. Angulo, Giovanni Aricò +5

Empirical models often rely on key relations from the galaxy--halo connection to construct mock galaxy catalogues. These relations typically describe central galaxies more accurate…

astro-ph.GA2026

First results of AMBRA: Abundant Seeds and Early Mergers as a Pathway to the First Massive Black Holes

Yihao Zhou, Aklant Kumar Bhowmick, Tiziana Di Matteo +6

AMBRA combines the large cosmological volume and statistical power of ASTRID with the physically motivated gas-based black hole seeding models from BRAHMA. Motivated by JWST's disc…

astro-ph.GA2026

Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation

Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18

Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…