001033999 001__ 1033999
001033999 005__ 20250203103309.0
001033999 037__ $$aFZJ-2024-06832
001033999 1001_ $$0P:(DE-Juel1)194141$$aStiele, Holger$$b0$$eCorresponding author
001033999 1112_ $$aJoint NICER/IXPE Workshop 2024$$cWashington D.C.$$d2024-07-29 - 2024-08-01$$wUSA
001033999 245__ $$aEvolution of QPOs and spectral properties during X-ray binary outburst
001033999 260__ $$c2024
001033999 3367_ $$033$$2EndNote$$aConference Paper
001033999 3367_ $$2DataCite$$aOther
001033999 3367_ $$2BibTeX$$aINPROCEEDINGS
001033999 3367_ $$2DRIVER$$aconferenceObject
001033999 3367_ $$2ORCID$$aLECTURE_SPEECH
001033999 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1736339147_24559$$xAfter Call
001033999 520__ $$aLow-mass black hole X-ray binaries are mainly transient systems. From time to time they go into outbursts, which usually last from a few weeks to several months and during which their luminosity changes by several orders of magnitude. During the outburst, these systems pass through different states with distinct spectral and short-term variability properties. NICER enables us to closely follow the evolution of these outbursts on a variety of time scales with high-sensitivity data. Based on these observations, we were able to study in detail the evolution of certain variability features, so-called quasi-periodic oscillations (QPOs), in different outburst states and during state transition. Our investigations allowed us to gain further insights into the evolution of QPOs and to follow the emergence and disappearance of the different types of these oscillations in more detail. We analysed not only power-density spectra, but also the evolution of energy spectra. Based on theoretical modelling, we determined the 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 the timing and spectral properties in outbursts of GX 339-4 and Swift J1727.7-1613. We will discuss them in light of different QPO models and what they teach us about the accretion geometry of X-ray binaries.
001033999 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001033999 536__ $$0G:(DE-Juel-1)PROFILNRW-2020-038B$$aBig Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B)$$cPROFILNRW-2020-038B$$x1
001033999 7001_ $$0P:(DE-HGF)0$$aKong, Albert$$b1
001033999 909CO $$ooai:juser.fz-juelich.de:1033999$$pVDB
001033999 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)194141$$aForschungszentrum Jülich$$b0$$kFZJ
001033999 9131_ $$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
001033999 9141_ $$y2024
001033999 920__ $$lno
001033999 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001033999 980__ $$aconf
001033999 980__ $$aVDB
001033999 980__ $$aI:(DE-Juel1)JSC-20090406
001033999 980__ $$aUNRESTRICTED