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001033998 037__ $$aFZJ-2024-06831
001033998 1001_ $$0P:(DE-Juel1)194141$$aStiele, Holger$$b0$$eCorresponding author$$ufzj
001033998 1112_ $$aCOSPAR 2024$$cBusan$$d2024-07-13 - 2024-07-21$$wSouth Korea
001033998 245__ $$aC or B: Studying the evolution of QPOs and spectral properties
001033998 260__ $$c2024
001033998 3367_ $$033$$2EndNote$$aConference Paper
001033998 3367_ $$2DataCite$$aOther
001033998 3367_ $$2BibTeX$$aINPROCEEDINGS
001033998 3367_ $$2DRIVER$$aconferenceObject
001033998 3367_ $$2ORCID$$aLECTURE_SPEECH
001033998 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1736339131_23115$$xAfter Call
001033998 520__ $$aThe Neutron star Interior Composition Explorer (NICER) onboard the International Space Station enables us to closely follow the evolution of outbursts of X-ray binaries on a variety of time scales with high sensitivity data. Using these observations we were able to study in detail the evolution of quasi-periodic oscillations (QPOs) and noise components in different outburst states and during state transition. Our studies allowed us to gain further insights in the evolution of QPOs and to follow in more detail the formation and disappearance of the different types of these oscillations. In addition to power-density spectra we also studied the evolution of energy spectra. Based on theoretical models we derived from the QPO properties and spectral parameters radii of the different components of X-ray binaries and followed their evolution during outburst.We will present the results of our studies of the evolution of timing and spectral properties in outbursts of GX 339-4 and Swift J1727.7-1613 and discuss them in light of different QPO models and what they tell us about the accretion geometry.
001033998 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001033998 536__ $$0G:(DE-Juel-1)PROFILNRW-2020-038B$$aBig Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B)$$cPROFILNRW-2020-038B$$x1
001033998 7001_ $$0P:(DE-HGF)0$$aKong$$b1
001033998 909CO $$ooai:juser.fz-juelich.de:1033998$$pVDB
001033998 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)194141$$aForschungszentrum Jülich$$b0$$kFZJ
001033998 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001033998 9141_ $$y2024
001033998 920__ $$lno
001033998 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001033998 980__ $$aconf
001033998 980__ $$aVDB
001033998 980__ $$aI:(DE-Juel1)JSC-20090406
001033998 980__ $$aUNRESTRICTED