most citedMulti-Epoch Machine Learning 2: Identifying physical drivers of galaxy properties in simulations

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2023★ 5 cited

Multi-Epoch Machine Learning 2: Identifying physical drivers of galaxy properties in simulations

Robert McGibbon, Sadegh Khochfar

Using a novel machine learning method, we investigate the buildup of galaxy properties in different simulations, and in various environments within a single simulation. The aim of…

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…