Pith. sign in

REVIEW 1 cited by

An X-ray high-frequency quasi-periodic oscillation in NGC 1365

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2405.16187 v2 pith:YHUDBKQM submitted 2024-05-25 astro-ph.GA astro-ph.HE

classification astro-ph.GAastro-ph.HE
keywords bandblackfrequencyconfidencehigh-frequencyholesleveloscillation
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

This study presents the detection of a high-frequency quasi-periodic oscillation (QPO) in the Seyfert galaxy NGC 1365 based on observational data obtained by \emph{XMM-Newton} in January 2004. Utilizing the weighted wavelet Z-transform (WWZ) and Lomb-Scargle periodogram (LSP) methods, a QPO signal is identified at a frequency of $2.19 \times 10^{-4}\ {\rm Hz}$ (4566 s), with a confidence level of 3.6\ $\sigma$. The signal is notably absent in the lower 0.2 -- 1.0 keV energy band, with the primary contribution emerging from the 2.0 -- 10.0 keV band, where the confidence level reaches 3.9 $\sigma$. Spectral analysis shows that there are multiple absorption and emission lines in the high-energy band (> 6\ keV). The correlation between the QPO frequency ($f_{\rm QPO}$) and the mass of the central black hole ($M_{\rm BH}$) of NGC 1365 aligns with the established logarithmic trend observed across black holes, indicating the QPO is of high frequency. This discovery provides new clues for studying the generation mechanism of QPOs in Seyfert galaxies, which helps us understand the accretion process around supermassive black holes and the characteristics of strong gravitational fields in active galactic nuclei.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Mind the gaps: improved methods for the detection of periodicities in unevenly-sampled data

    astro-ph.IM 2025-01 conditional novelty 5.0 of 10

    A Gaussian-process likelihood-ratio test, calibrated by simulations from the noise-only model, detects (quasi-)periodic signals in irregularly sampled red-noise light curves.

Pith tools