Per-object systematics using deep-learned calibration
SciPost Journals Publication Detail SciPost Phys. 9, 089 (2020) Per-object systematics using deep-learned calibration
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
18-12-2020
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| In: |
SciPost physics
Year: 2020, Jahrgang: 9, Heft: 6, Pages: 1-20 |
| ISSN: | 2542-4653 |
| DOI: | 10.21468/SciPostPhys.9.6.089 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21468/SciPostPhys.9.6.089 Verlag, lizenzpflichtig, Volltext: https://scipost.org/10.21468/SciPostPhys.9.6.089 |
| Verfasserangaben: | Gregor Kasieczka, Michel Luchmann, Florian Otterpohl and Tilman Plehn |
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