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| 001 | 1033998 | ||
| 005 | 20250203103405.0 | ||
| 037 | _ | _ | |a FZJ-2024-06831 |
| 100 | 1 | _ | |a Stiele, Holger |0 P:(DE-Juel1)194141 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a COSPAR 2024 |c Busan |d 2024-07-13 - 2024-07-21 |w South Korea |
| 245 | _ | _ | |a C or B: Studying the evolution of QPOs and spectral properties |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1736339131_23115 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a The 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. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a Big Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B) |0 G:(DE-Juel-1)PROFILNRW-2020-038B |c PROFILNRW-2020-038B |x 1 |
| 700 | 1 | _ | |a Kong |0 P:(DE-HGF)0 |b 1 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1033998 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)194141 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2024 |
| 920 | _ | _ | |l no |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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