Possible ~0.4 hour X-ray quasi-periodicity from an ultrasoft active galactic nucleus
J. R. Song (1), X. W. Shu (1), L. M. Sun (1), Y. Q. Xue (2), C. Jin, (3, 4), W. J. Zhang (1), N. Jiang (2), L. M. Dou (5), T. G. Wang (2) ((1), AHNU, (2) USTC, (3) NAOC (4) UCAS (5) GZU)

TL;DR
This study reports a stable ~1500s X-ray quasi-periodic oscillation in the ultrasoft AGN RX J1301.9+2747 over 18.5 years, linking it to disk resonance modes and suggesting ultrasoft AGNs as prime candidates for X-ray periodicity searches.
Contribution
First detection of a long-term stable QPO in an ultrasoft AGN, connecting it to black hole mass and disk resonance models, and highlighting ultrasoft AGNs as promising for future periodicity studies.
Findings
QPO detected at ~1500s in two observations with >99.89% significance.
QPO frequency consistent with black hole mass and disk resonance models.
Ultrasoft AGNs commonly show quasi-periodicities, indicating a potential link to their extreme variability.
Abstract
RX J1301.9+2747 is an ultrasoft active galactic nucleus (AGN) with unusual X-ray variability that is characterized by a long quiescent state and a short-lived flare state. The X-ray flares are found to recur quasi-periodically on a timescale of 13-20 ks. Here, we report the analysis of the light curve in the quiescent state from two XMM observations spanning 18.5 years, along with the discovery of a possible quasi-periodic X-ray oscillation (QPO) with a period of ~1500s. The QPO is detected at the same frequency in the two independent observations, with a combined significance of >99.89%. The QPO is in agreement with the relation between frequency and black hole mass (M_BH) that has been reported in previous works for AGNs and Galactic black hole X-ray binaries (XRBs). The QPO frequency is stable over almost two decades, suggesting that it may correspond to the high-frequency type found…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
