1.1k citations · 19k across the 166 of their papers we have counts for
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Multi-Epoch Machine Learning 1: Unravelling Nature vs Nurture for Galaxy Formation
Robert McGibbon, Sadegh Khochfar
We present a novel machine learning method for predicting the baryonic properties of dark matter only subhalos from N-body simulations. Our model is built using the extremely rando…
The Birth Mass Function of Pop III Stars
Muhammad A. Latif, Daniel Whalen, Sadegh Khochfar
Population III (Pop III) stars ended the cosmic Dark Ages and began early cosmological reionization and chemical enrichment. However, in spite of their importance to the evolution…
Formation of the first galaxies in the aftermath of the first supernovae
Makito Abe, Hidenobu Yajima, Sadegh Khochfar +2
We perform high-resolution cosmological hydrodynamic simulations to study the formation of the first galaxies that reach the masses of at . The resol…
Evolving beyond z=0: insights about the future of stars and the intergalactic medium
Boon Kiat Oh, John A. Peacock, Sadegh Khochfar +1
We present results from seven cosmological simulations that have been extended beyond the present era as far as redshift or , using the Enzo simul…
Gaseous Dynamical Friction: a Numerical Study of Extended Perturbers
Ben Morton, Sadegh Khochfar, Jose Oñorbe
The process of momentum and energy transfer between a massive body and a background medium it is moving through is known as dynamical friction (DF). It is key to our understanding…
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…