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A Remarkably Loud Quasi-Periodicity after a Star is Disrupted by a Massive Black Hole

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arxiv 1810.10713 v1 pith:3YTTCZC3 submitted 2018-10-25 astro-ph.HE

A Remarkably Loud Quasi-Periodicity after a Star is Disrupted by a Massive Black Hole

classification astro-ph.HE
keywords blackholeclosedisruptedholesmassivequasi-periodicitystar
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The immense tidal forces of massive black holes can rip apart stars that come too close to them. As the resulting stellar debris spirals inwards, it heats up and emits x-rays when near the black hole. Here, we report the discovery of an exceptionally stable 131-second x-ray quasi-periodicity from a black hole after it disrupted a star. Using a black hole mass indicated from host galaxy scaling relations implies that, (1) this periodicity originates from very close to the black hole's event horizon, and (2) the black hole is rapidly spinning. Our findings suggest that other disruption events with similar highly sensitive observations likely also exhibit quasi-periodicities that encode information about the fundamental properties of their black holes.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Spatially resolved optical and mid-infrared spectroscopy of SDSS1335+0728: implications for the origin of the Ansky event

    astro-ph.GA 2026-07 unverdicted novelty 7.0

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  2. The emergence of X-ray emission lines during relativistic radio-jet formation in the changing-look active galactic nucleus 1ES 1927+654

    astro-ph.HE 2026-07 conditional novelty 6.0

    X-ray emission lines and a broad iron feature emerged in changing-look AGN 1ES 1927+654 concurrently with radio-jet formation and declining ionized outflows from 2022 to 2025.

  3. Tidal Disruption Events with the SKA

    astro-ph.HE 2026-07 unverdicted novelty 4.0

    With its projected sensitivity, low-frequency coverage, and VLBI, the SKA would shift tidal disruption event radio studies from a handful of events to hundreds, enabling population-level inference on jets, black-hole ...