A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues-Reference-Cited by-同舟云学术

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A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues

Published:2018-11-01 Issue:3 Volume:482 Page:2861-2871
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Berger Philippe¹²,Stein George²³^ORCID

Affiliation:

1. Department of Physics, University of Toronto, 60 St. George St., Toronto, ON M5S 1A7, Canada

2. Canadian Institute for Theoretical Astrophysics, University of Toronto, 60 St. George St., Toronto, ON M5S 3H8, Canada

3. Department of Astronomy & Astrophysics, University of Toronto, 50 St. George St., Toronto, ON M5S 3H4, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Centrum fÖr Personcentrerad Vård

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/mnras/article-pdf/482/3/2861/26577013/sty2949.pdf

Reference52 articles.

1. Planck2015 results

2. Splashback in accreting dark matter halos

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