The Relation between the Optical Variability Timescale, Magnetic Field of Jets, and Black Hole Spin in Active Galactic Nuclei

Abstract We investigate the relationship among the jet magnetic field, black hole spin, black hole mass, Eddington ratio, and optical variability timescales in jetted active galactic nuclei (AGNs). By fitting a damped random walk (DRW) model to the g -band light curves, we obtain the characteristic variability timescale ( τ DRW ) for 41 jetted AGNs with precise supermassive black hole (SMBH) mass measurements. Our main results are as follows: (i) Our analysis reveals a significant correlation between the jet magnetic field ( B 1 pc ), black hole spin ( j ) and the characteristic variability timescale within our sample. These findings suggest that the optical variability of jetted AGNs is influenced by the jet magnetic field and black hole spin. Furthermore, the characteristic variability timescale aligns with the electron escape timescale, as evidenced by the relationship between the characteristic variability timescale and jet magnetic field ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mi>τ</mml:mi> <mml:mi>DRW</mml:mi> </mml:msub> <mml:mo>∝</mml:mo> <mml:msubsup> <mml:mi>B</mml:mi> <mml:mrow> <mml:mn>1</mml:mn> <mml:mspace width="0.25em"/> <mml:mi>pc</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>0.76</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.22</mml:mn> </mml:mrow> </mml:msubsup> </mml:math> ). (ii) We confirm a significant correlation between the characteristic variability timescale and SMBH mass, expressed as: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>log</mml:mi> <mml:msub> <mml:mi>τ</mml:mi> <mml:mi>DRW</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0.52</mml:mn> <mml:mo stretchy="false">(</mml:mo> <mml:mo>±</mml:mo> <mml:mn>0.21</mml:mn> <mml:mo stretchy="false">)</mml:mo> <mml:mi>log</mml:mi> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>BH</mml:mi> </mml:msub> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mo>⊙</mml:mo> </mml:msub> <mml:mo>−</mml:mo> <mml:mn>3.12</mml:mn> <mml:mo stretchy="false">(</mml:mo> <mml:mo>±</mml:mo> <mml:mn>1.90</mml:mn> <mml:mo stretchy="false">)</mml:mo> </mml:math> , with an intrinsic scatter of 0.08 dex. The slope of this relationship is consistent with that between the thermal timescale and black hole mass. Our results support the hypothesis that magnetorotational instability fluctuations drive the intrinsic variability observed in the light curves emitted by the AGN's accretion disk.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-10-23
DOI
https://doi.org/10.3847/1538-4357/ae08ac
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relation between the Optical Variability Timescale, Magnetic Field of Jets, and Black Hole Spin in Active Galactic Nuclei

Qiusheng Gu, Nan Ding, Xiaotong Guo, J. H. Fan et al.
The Astrophysical Journal
Astrophysical Phenomena and Observations
article

The Relation between the Optical Variability Timescale, Magnetic Field of Jets, and Black Hole Spin in Active Galactic Nuclei

Qiusheng Gu, Nan Ding, Xiaotong Guo, J. H. Fan, Yongyun Chen, Dingrong Xiong, Ting-Feng Yi, Xiaoling 效龄 Yu 俞
article en

Abstract

Abstract We investigate the relationship among the jet magnetic field, black hole spin, black hole mass, Eddington ratio, and optical variability timescales in jetted active galactic nuclei (AGNs). By fitting a damped random walk (DRW) model to the g -band light curves, we obtain the characteristic variability timescale ( τ DRW ) for 41 jetted AGNs with precise supermassive black hole (SMBH) mass measurements. Our main results are as follows: (i) Our analysis reveals a significant correlation between the jet magnetic field ( B 1 pc ), black hole spin ( j ) and the characteristic variability timescale within our sample. These findings suggest that the optical variability of jetted AGNs is influenced by the jet magnetic field and black hole spin. Furthermore, the characteristic variability timescale aligns with the electron escape timescale, as evidenced by the relationship between the characteristic variability timescale and jet magnetic field ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mi>τ</mml:mi> <mml:mi>DRW</mml:mi> </mml:msub> <mml:mo>∝</mml:mo> <mml:msubsup> <mml:mi>B</mml:mi> <mml:mrow> <mml:mn>1</mml:mn> <mml:mspace width="0.25em"/> <mml:mi>pc</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>0.76</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.22</mml:mn> </mml:mrow> </mml:msubsup> </mml:math> ). (ii) We confirm a significant correlation between the characteristic variability timescale and SMBH mass, expressed as: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>log</mml:mi> <mml:msub> <mml:mi>τ</mml:mi> <mml:mi>DRW</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0.52</mml:mn> <mml:mo stretchy="false">(</mml:mo> <mml:mo>±</mml:mo> <mml:mn>0.21</mml:mn> <mml:mo stretchy="false">)</mml:mo> <mml:mi>log</mml:mi> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>BH</mml:mi> </mml:msub> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mo>⊙</mml:mo> </mml:msub> <mml:mo>−</mml:mo> <mml:mn>3.12</mml:mn> <mml:mo stretchy="false">(</mml:mo> <mml:mo>±</mml:mo> <mml:mn>1.90</mml:mn> <mml:mo stretchy="false">)</mml:mo> </mml:math> , with an intrinsic scatter of 0.08 dex. The slope of this relationship is consistent with that between the thermal timescale and black hole mass. Our results support the hypothesis that magnetorotational instability fluctuations drive the intrinsic variability observed in the light curves emitted by the AGN's accretion disk.

The Astrophysical JournalVol. 993(1)
Openalex Percentile: Top 79%
Astrophysical Phenomena and Observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.