Title	Enhancing the sensitivity to dark matter signatures in the very-high-energy gamma-ray band through machine learning
Creator	Nieto, Daniel
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-02-28T11:14
Extent	41 minutes
Subject	Mathematics; Astronomy and astrophysics; Statistics; Applied statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Universidad Complutense de Madrid
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2018-08-28
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0371263
URI	http://hdl.handle.net/2429/66970
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Postdoctoral
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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