Systematic Search for Long-term Trends in Fermi-LAT Jetted Active Galactic Nuclei

Abstract Jetted active galactic nuclei (AGN) exhibit variability across a wide range of timescales. Traditionally, this variability can often be modeled well as a stochastic process. However, in certain cases, jetted AGN variability displays regular patterns, enabling us to conduct investigations aimed at understanding its origins. Additionally, a novel type of variability has emerged in jetted AGN light curves, specifically, the observation of a long-term trend characterized by a linear increase of the flux with time in blazars such as PG 1553+113, which is among the objects most likely to display periodic behavior. In this paper, we present the results of a systematic search for long-term trends, spanning ≈10 yr, utilizing 12 yr of Fermi-LAT observations. The study is focused on detecting the presence of linear or quadratic long-term trends in a sample of 3308 jetted AGN. Our analysis has identified 40 jetted AGN that exhibit long-term trends, each with distinct properties, which we also characterize in this study. These long-term trends may originate from the dynamics of a supermassive black hole binary system, or they could be the result of intrinsic phenomena within the jet itself. Our findings can help in addressing questions pertaining to the astrophysical origins of variability and periodicity within jetted AGN.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-02-03
DOI
https://doi.org/10.3847/1538-4357/ada4b3
Citations
10
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
18.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Search for Long-term Trends in Fermi-LAT Jetted Active Galactic Nuclei

A. Domínguez, Agnès Rico, S. Buson, Pablo Peñil et al.
10 citations
The Astrophysical Journal
Astrophysics and Cosmic Phenomena
18.70
article

Systematic Search for Long-term Trends in Fermi-LAT Jetted Active Galactic Nuclei

A. Domínguez, Agnès Rico, S. Buson, Pablo Peñil, S. Adhikari, M. Ajello
article en
10 citations

Abstract

Abstract Jetted active galactic nuclei (AGN) exhibit variability across a wide range of timescales. Traditionally, this variability can often be modeled well as a stochastic process. However, in certain cases, jetted AGN variability displays regular patterns, enabling us to conduct investigations aimed at understanding its origins. Additionally, a novel type of variability has emerged in jetted AGN light curves, specifically, the observation of a long-term trend characterized by a linear increase of the flux with time in blazars such as PG 1553+113, which is among the objects most likely to display periodic behavior. In this paper, we present the results of a systematic search for long-term trends, spanning ≈10 yr, utilizing 12 yr of Fermi-LAT observations. The study is focused on detecting the presence of linear or quadratic long-term trends in a sample of 3308 jetted AGN. Our analysis has identified 40 jetted AGN that exhibit long-term trends, each with distinct properties, which we also characterize in this study. These long-term trends may originate from the dynamics of a supermassive black hole binary system, or they could be the result of intrinsic phenomena within the jet itself. Our findings can help in addressing questions pertaining to the astrophysical origins of variability and periodicity within jetted AGN.

The Astrophysical JournalVol. 980(1)
Openalex Percentile: Top 1%
Astrophysics and Cosmic Phenomena
18.70
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.