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Galaxy pairs in The Three Hundred simulations II: studying bound ones and identifying them via machi...

Galaxy pairs in The Three Hundred simulations II: studying bound ones and identifying them via machi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2803090639

Galaxy pairs in The Three Hundred simulations II: studying bound ones and identifying them via machine learning

About this item

Full title

Galaxy pairs in The Three Hundred simulations II: studying bound ones and identifying them via machine learning

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Using the data set of The Three Hundred project, i.e. 324 hydrodynamical resimulations of cluster-sized haloes and the regions of radius 15 \(h^{-1}\)Mpc around them, we study galaxy pairs in high-density environments. By projecting the galaxies' 3D coordinates onto a 2D plane, we apply observational techniques to find galaxy pairs. Based on a prev...

Alternative Titles

Full title

Galaxy pairs in The Three Hundred simulations II: studying bound ones and identifying them via machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2803090639

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2803090639

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2304.08898

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