Search Results for author: Joel R. Primack

Found 2 papers, 1 papers with code

A Deep Learning Approach for Characterizing Major Galaxy Mergers

no code implementations • 9 Feb 2021 • Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

Fine-grained estimation of galaxy merger stages from observations is a key problem useful for validation of our current theoretical understanding of galaxy formation.

regression

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Gravitationally Consistent Halo Catalogs and Merger Trees for Precision Cosmology

2 code implementations • 19 Oct 2011 • Peter S. Behroozi, Risa H. Wechsler, Hao-Yi Wu, Michael T. Busha, Anatoly A. Klypin, Joel R. Primack

We find that both the ROCKSTAR and BDM halo finders track halos extremely well; in both, the number of halos which do not have physically consistent progenitors is at the 1-2% level across all halo masses.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

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