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The strength of Type-C quasi-periodic oscillations in black hole X-ray binaries correlates with the jet inclination

Abstract:
X-ray quasi-periodic oscillations (QPOs) are a characteristic feature of low-mass X-ray binaries (LMXBs). These oscillations have been studied for decades and revealed a rich and complex phenomenology that is still not fully understood. RXTE archival studies have shown that the amplitude of these oscillations differs significantly between black holes (BH) with high or low inclination. Yet, the actual dependence on inclination has never been adequately estimated. Thanks to the improvement of inclination measurements through radio observations and the recent observations by the HXMT satellite, we quantified for the first time the dependence of Type-C QPO amplitudes on the jet inclination of individual BH LMXBs. Our analysis reveals the presence of a significant linear correlation up to 8 Hz, strengthening the case for a ‘geometrical’ origin of the QPOs. In addition, for a given QPO frequency, we observe systematically lower amplitudes during the decay of outbursts compared to the rise. This data collection represents a key benchmark for any QPO model. Our comparison with the predictions from a precessing hot flow shows that the amplitude of the QPOs can be reproduced by this scenario if the spin-orbit misalignment is at least 10–15.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/mnras/stag1004

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Role:
Author
ORCID:
0000-0002-1481-1870
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Role:
Author
ORCID:
0009-0005-6609-5852
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Role:
Author
ORCID:
0000-0002-5767-7253


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Funder identifier:
https://ror.org/057g20z61
Grant:
ST/V001000/1
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Funder identifier:
10.13039/501100023945
Grant:
#25-660
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Funder identifier:
https://ror.org/05k73zm37
Grant:
355672
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Funder identifier:
10.13039/501100004837


Publisher:
Oxford University Press
Journal:
Monthly Notices of the Royal Astronomical Society More from this journal
Volume:
549
Issue:
4
Pages:
stag1004
Article number:
stag1004
Publication date:
2026-05-30
Acceptance date:
2026-05-23
DOI:
EISSN:
1365-2966
ISSN:
0035-8711


Language:
English
Keywords:
Source identifiers:
4257851
Deposit date:
2026-06-23
ARK identifier:
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