Per-object systematics using deep-learned calibration

SciPost Journals Publication Detail SciPost Phys. 9, 089 (2020) Per-object systematics using deep-learned calibration

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Bibliographic Details
Main Authors:	Kasieczka, Gregor (Author) , Luchmann, Michel (Author) , Otterpohl, Florian (Author) , Plehn, Tilman (Author)
Format:	Article (Journal)
Language:	English
Published:	18-12-2020
In:	SciPost physics Year: 2020, Volume: 9, Issue: 6, Pages: 1-20
ISSN:	2542-4653
DOI:	10.21468/SciPostPhys.9.6.089
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21468/SciPostPhys.9.6.089 Verlag, lizenzpflichtig, Volltext: https://scipost.org/10.21468/SciPostPhys.9.6.089
Author Notes:	Gregor Kasieczka, Michel Luchmann, Florian Otterpohl and Tilman Plehn

Description
Summary:	SciPost Journals Publication Detail SciPost Phys. 9, 089 (2020) Per-object systematics using deep-learned calibration
Item Description:	Gesehen am 26.02.2022
Physical Description:	Online Resource
ISSN:	2542-4653
DOI:	10.21468/SciPostPhys.9.6.089