Rapid dimming followed by a state transition: a study of the highly variable nuclear transient AT 2019avd over 1000+ days
Rapid dimming followed by a state transition: a study of the highly variable nuclear transient AT 2019avd over 1000+ days
The tidal disruption of a star around a supermassive black hole (SMBH) offers a unique opportunity to study accretion onto a SMBH on a human-timescale. We present results from our 1000+ days NICER, Swift and Chandra monitoring campaign of AT 2019avd, a nuclear transient with TDE-like properties. Our primary finding is that approximately 225 days following the peak of X-ray emission, there is a rapid drop in luminosity exceeding two orders of magnitude. This X-ray drop-off is accompanied by X-ray spectral hardening, followed by a 740-day plateau phase. During this phase, the spectral index decreases from 6.2+-1.1 to 2.3+-0.4, while the disk temperature remains constant. Additionally, we detect pronounced X-ray variability, with an average fractional root mean squared amplitude of 47%, manifesting over timescales of a few dozen minutes. We propose that this phenomenon may be attributed to intervening clumpy outflows. The overall properties of AT 2019avd suggest that the accretion disk evolves from a super-Eddington to a sub-Eddington luminosity state, possibly associated with a compact jet. This evolution follows a pattern in the hardness-intensity diagram similar to that observed in stellar-mass black holes, supporting the mass invariance of accretion-ejection processes around black holes.
astro-ph.HE
Wang, Yanan
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Pasham, Dheeraj R.
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Altamirano, Diego
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Gurpide, Andres
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Segura, Noel Castro
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Middleton, Matthew
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Ji, Long
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Palacio, Santiago del
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Guolo, Muryel
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Gandhi, Poshak
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Zhang, Shuang-Nan
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Remillard, Ronald
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Lin, Dacheng
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Masterson, Megan
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Baldi, Ranieri D.
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Tombesi, Francesco
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Miller, Jon M.
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Zhang, Wenda
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Sanna, Andrea
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Wang, Yanan
df450b48-6a34-43dd-823f-e6e388b5eaaf
Pasham, Dheeraj R.
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Altamirano, Diego
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Gurpide, Andres
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Segura, Noel Castro
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Middleton, Matthew
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Ji, Long
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Palacio, Santiago del
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Guolo, Muryel
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Gandhi, Poshak
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Zhang, Shuang-Nan
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Remillard, Ronald
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Lin, Dacheng
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Masterson, Megan
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Baldi, Ranieri D.
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Tombesi, Francesco
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Miller, Jon M.
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Zhang, Wenda
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Sanna, Andrea
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