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Related papers: Mid-infrared Variability-based AGN Selection using…

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Mid-infrared observations are powerful in identifying heavily obscured Active Galactic Nuclei (AGN) which have weak emission in other wavelengths. Data from the Mid-Infrared Instrument (MIRI) onboard JWST provides an excellent opportunity…

Variability is a main property of active galactic nuclei (AGN) and it was adopted as a selection criterion using multi epoch surveys conducted for the detection of supernovae (SNe). We have used two SN datasets. First we selected the AXAF…

Astrophysics of Galaxies · Physics 2010-03-03 K. Boutsia , B. Leibundgut , D. Trevese , F. Vagnetti

Optical variability has proven to be an effective way of detecting AGNs in imaging surveys, lasting from weeks to years. In the present work we test its use as a tool to identify AGNs in the VST multi-epoch survey of the COSMOS field,…

We present an analysis of the long-term optical variability for $\sim50,000$ nearby (z<0.055) galaxies from the NASA-Sloan Atlas, $35,000$ of which are low-mass ($M_{\ast}<10^{10}~M_{\odot}$). We use difference imaging of Palomar Transient…

High Energy Astrophysical Phenomena · Physics 2020-06-17 Vivienne F. Baldassare , Marla Geha , Jenny Greene

Context. The North Ecliptic Pole (NEP) field provides a unique set of panchromatic data, well suited for active galactic nuclei (AGN) studies. Selection of AGN candidates is often based on mid-infrared (MIR) measurements. Such method,…

We present the measurement of the line-of-sight extinction of the dusty torus for a large number of obscured active galactic nuclei (AGNs) based on the reddening of the colour of the variable flux component in near-infrared (NIR)…

Identifying Active Galactic Nuclei (AGNs) through their X-ray emission is efficient, but necessarily biased against X-ray-faint objects. We aim to characterize this bias by comparing X-ray-selected AGNs to the ones identified through…

Changing-look active galactic nuclei (CL AGNs) show large changes in luminosity and optical spectral state on time-scales of a few years, and provide a valuable probe of time-dependent accretion in the disc-BLR-torus system. We present a…

Astrophysics of Galaxies · Physics 2026-03-19 Yu Tao , Jie Tang , Xuan Wei

We present medium resolution (R approx. 1500) ISO-SWS 2.4--45 micron spectra of a sample of 29 galaxies with active nuclei. This data set is rich in fine structure emission lines tracing the narrow line regions and (circum-)nuclear star…

Astrophysics · Physics 2009-11-07 E. Sturm , D. Lutz , A. Verma , H. Netzer , A. Sternberg , A. F. M. Moorwood , E. Oliva , R. Genzel

While there are numerous criteria for photometrically identifying active galactic nuclei (AGNs), searches in the optical and UV tend to exclude galaxies that are highly dust obscured. This is problematic for constraining models of AGN…

Astrophysics of Galaxies · Physics 2018-07-17 Anson Lam , Edward L. Wright , Matthew A. Malkan

We present the results of a program of optical and near-infrared spectroscopic follow-up of candidate Active Galactic Nuclei (AGN) selected in the mid-infrared. This survey selects both normal and obscured AGN closely matched in luminosity…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 M. Lacy , S. E. Ridgway , E. L. Gates , D. M. Nielsen , A. O. Petric , A. Sajina , T. Urrutia , S. Cox Drews , C. Harrison , N. Seymour , L. J. Storrie-Lombardi

At present, there is a lack of effective probes to distinguish between mid-infrared (MIR) outbursts induced by tidal disruption events (TDEs) and changing-look active galactic nuclei (CLAGNs) based on only MIR data. Here, we propose that…

High Energy Astrophysical Phenomena · Physics 2025-09-09 Yujun Yao , Jingjing Ye , Luming Sun , Ning Jiang , Megan Masterson , Xinwen Shu

We show that mid-infrared data from the all-sky WISE survey can be used as a robust photometric redshift indicator for powerful radio AGN, in the absence of other spectroscopic or multi-band photometric information. Our work is motivated by…

Instrumentation and Methods for Astrophysics · Physics 2017-09-27 M. Glowacki , J. R. Allison , E. M. Sadler , V. A. Moss , T. H. Jarrett

The efficiency of mid-infrared selection methods for finding obscured AGN is investigated using data in the \chandra Deep Field North. It is shown that samples of AGN candidates compiled on the basis of mid-infrared colours only suffer…

Astrophysics · Physics 2009-11-13 I. Georgantopoulos , A. Georgakakis , M. Rowan-Robinson , E. Rovilos

We identified Active Galactic Nuclei (AGN) candidates as counterparts to unidentified gamma-ray sources (UGS) from the Fermi-LAT Fourth Source Catalogue at lower Galactic latitudes. Our methodology is based on the use of near- and…

We searched the Northern Hemisphere Fields of the GALEX Time-Domain Survey (TDS) for galaxies with UV variability indicative of active galactic nuclei (AGNs). We identified 48 high-probability candidate AGNs from a parent sample of 1819…

Astrophysics of Galaxies · Physics 2024-05-31 Erik J. Wasleske , Vivienne F. Baldassare , Christopher M. Carroll

We present a 24 um-selected spectroscopic sample z > 0.13 (median z = 0.41) in the Lockman Hole field, consisting of 4035 spectra. Our aim is to identify AGNs and determine their fraction in this mid-infrared selected sample. In this work,…

Astrophysics of Galaxies · Physics 2024-01-09 Zi-Jian Li , Y. Sophia Dai , Jia-Sheng Huang , Stijn Wuyts , Tian-Wen Cao

The discovery of changing-look active galactic nuclei (CLAGNs) with the significant change of optical broad emission lines (optical CLAGNs) and/or strong variation of line-of-sight column densities (X-ray CLAGNs) challenges the…

High Energy Astrophysical Phenomena · Physics 2022-03-30 Lyu Bing , Wu Qingwen , Yan Zhen , Yu Wenfei , Liu Hao

We present ground-based high-spatial resolution mid-infrared (MIR) observations of 20 nearby low-luminosity AGN (LLAGN) with VLT/VISIR and the preliminary analysis of a new sample of 10 low-luminosity Seyferts observed with Gemini/Michelle.…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 D. Asmus , S. F. Hönig , P. Gandhi , A. Smette , W. J. Duschl

We use machine learning techniques to investigate their performance in classifying active galactic nuclei (AGNs), including X-ray selected AGNs (XAGNs), infrared selected AGNs (IRAGNs), and radio selected AGNs (RAGNs). Using known physical…

Astrophysics of Galaxies · Physics 2021-10-26 Yu-Yen Chang , Bau-Ching Hsieh , Wei-Hao Wang , Yen-Ting Lin , Chen-Fatt Lim , Yoshiki Toba , Yuxing Zhong , Siou-Yu Chang
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