Enhancing gravitational-wave science with machine learning

dc.contributor.author	Gebhard, Timothy D.
dc.date.accessioned	2022-08-03T12:57:19Z
dc.date.available	2022-08-03T12:57:19Z
dc.date.issued	2021
dc.identifier.issn	2632-2153
dc.identifier.uri	http://hdl.handle.net/10900/129869
dc.language.iso	en	en
dc.publisher	Bristol	de_DE
dc.relation.uri	http://dx.doi.org/10.1088/2632-2153/abb93a	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	500	de_DE
dc.title	Enhancing gravitational-wave science with machine learning	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220404000000_02437
utue.personen.roh	Cuoco, Elena
utue.personen.roh	Powell, Jade
utue.personen.roh	Cavaglia, Marco
utue.personen.roh	Ackley, Kendall
utue.personen.roh	Bejger, Michal
utue.personen.roh	Chatterjee, Chayan
utue.personen.roh	Coughlin, Michael
utue.personen.roh	Coughlin, Scott
utue.personen.roh	Easter, Paul
utue.personen.roh	Essick, Reed
utue.personen.roh	Gabbard, Hunter
utue.personen.roh	Gebhard, Timothy
utue.personen.roh	Ghosh, Shaon
utue.personen.roh	Haegel, Leila
utue.personen.roh	Iess, Alberto
utue.personen.roh	Keitel, David
utue.personen.roh	Marka, Zsuzsa
utue.personen.roh	Marka, Szabolcs
utue.personen.roh	Morawski, Filip
utue.personen.roh	Nguyen, Tri
utue.personen.roh	Ormiston, Rich
utue.personen.roh	Puerrer, Michael
utue.personen.roh	Razzano, Massimiliano
utue.personen.roh	Staats, Kai
utue.personen.roh	Vajente, Gabriele
utue.personen.roh	Williams, Daniel
dcterms.isPartOf.ZSTitelID	Machine Learning - Science and Technology	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	2	de_DE