scholarly journals Mid‐Infrared Selection of Active Galaxies

2005 ◽  
Vol 631 (1) ◽  
pp. 163-168 ◽  
Author(s):  
Daniel Stern ◽  
Peter Eisenhardt ◽  
Varoujan Gorjian ◽  
Christopher S. Kochanek ◽  
Nelson Caldwell ◽  
...  
Keyword(s):  
Active Galaxies ◽  
Mid Infrared ◽  
Selection Of

scholarly journals Mid-infrared selection of AGN

2004 ◽  
Vol 419 (3) ◽  
pp. L49-L53 ◽  
Author(s):  
M. Haas ◽  
R. Siebenmorgen ◽  
C. Leipski ◽  
S. Ott ◽  
B. Cunow ◽  
...  
Keyword(s):  
Mid Infrared ◽  
Selection Of

scholarly journals SUDARE-VOICE variability-selection of active galaxies in theChandraDeep Field South and the SERVS/SWIRE region

2015 ◽  
Vol 579 ◽  
pp. A115 ◽  
Author(s):  
S. Falocco ◽  
M. Paolillo ◽  
G. Covone ◽  
D. De Cicco ◽  
G. Longo ◽  
...  
Keyword(s):  
Active Galaxies ◽  
Selection Of

scholarly journals Extending the variability selection of active galactic nuclei in the W-CDF-S and SERVS/SWIRE region

2020 ◽  
Vol 634 ◽  
pp. A50 ◽  
Author(s):  
M. Poulain ◽  
M. Paolillo ◽  
D. De Cicco ◽  
W. N. Brandt ◽  
F. E. Bauer ◽  
...  
Keyword(s):  
Active Galactic Nuclei ◽  
Time Domain ◽  
Galactic Nuclei ◽  
Wide Field ◽  
Mid Infrared ◽  
New Era ◽  
New Generation ◽  
Selection Of ◽  
Infrared Data

Context. Variability has proven to be a powerful tool to detect active galactic nuclei (AGN) in multi-epoch surveys. The new-generation facilities expected to become operational in the next few years will mark a new era in time-domain astronomy and their wide-field multi-epoch campaigns will favor extensive variability studies. Aims. We present our analysis of AGN variability in the second half of the VST survey of the Wide Chandra Deep Field South, performed in the r band and covering a 2 sq. deg area. The analysis complements a previous work, in which the first half of the area was investigated. We provide a reliable catalog of variable AGN candidates, which will be critical targets in future variability studies. Methods. We selected a sample of optically variable sources and made use of infrared data from the Spitzer mission to validate their nature by means of color-based diagnostics. Results. We obtain a sample of 782 AGN candidates among which 12 are classified as supernovae, 54 as stars, and 232 as AGN. We estimate a contamination ≲20% and a completeness ∼38% with respect to mid-infrared selected samples.

scholarly journals A COMPLETE CENSUS OF SILICATE FEATURES IN THE MID-INFRARED SPECTRA OF ACTIVE GALAXIES

2015 ◽  
Vol 803 (2) ◽  
pp. 110 ◽  
Author(s):  
E. Hatziminaoglou ◽  
A. Hernán-Caballero ◽  
A. Feltre ◽  
N. Piñol Ferrer
Keyword(s):  
Infrared Spectra ◽  
Active Galaxies ◽  
Mid Infrared

scholarly journals Knowledge Discovery workflows for the classification of AGNs in multi-wavelength spaces: the Blazars case

2013 ◽  
Vol 9 (S304) ◽  
pp. 171-171
Author(s):  
Raffaele D'Abrusco ◽  
F. Massaro ◽  
A. Paggi ◽  
G. Fabbiano
Keyword(s):  
Knowledge Discovery ◽  
Gamma Ray ◽  
Color Space ◽  
Physical Nature ◽  
New Classification ◽  
Mid Infrared ◽  
Whole Process ◽  
Multi Wavelength ◽  
Selection Of

AbstractThe development of new AGNs selection techniques based on the massive multi-wavelength datasets that are becoming more and more frequent in astronomy is a crucial task to gather statistically significant samples and shed light on the physical nature of this diverse class of extragalactic sources. Novel characterizations of specific classes of sources from unexplored region of their spectrum and unusual combinations of the observational parameters can translate into new classification criteria. In this innovative data environment, the whole process ranging from the discovery of new patterns to the application of such patters to the selection of new AGNs, has to be tackled using a Knowledge Discovery (KD) workflow. A KD workflows is a combination of different KD methods that automatically extract the more interesting patters from data, reduce the complexity of the dataset and provide astronomers with the simplest possible amount of information to be interpreted. In this talk, I will describe an original KD workflow which, in one of its first applications, has led to the discovery of a previously unknown peculiar pattern followed by blazars in the mid-Infrared color space (the blazars WISE locus), and the development of a new classification criterion based on this pattern and useful to tackle different problems. The comprehensive KD workflow used to derive these results encompasses unsupervised methods for the exploration of the multi-dimensional observable spaces, and supervised method for the training and optimization of classifiers based on the patterns determined in the observable spaces. In particular, I will describe the new methods for the association of unidentified gamma-ray sources and the extraction of candidate blazars from mid-Infrared photometric catalog based on the WISE blazars locus.

scholarly journals Knowledge Discovery workflows for the classification of AGNs in multiwavelength spaces: the Blazars case

2013 ◽  
Vol 9 (S304) ◽  
pp. 232-232
Author(s):  
Raffaele D'Abrusco ◽  
F. Massaro ◽  
A. Paggi ◽  
G. Fabbiano
Keyword(s):  
Knowledge Discovery ◽  
Gamma Ray ◽  
Color Space ◽  
Physical Nature ◽  
New Classification ◽  
Mid Infrared ◽  
Whole Process ◽  
Multi Wavelength ◽  
Selection Of

AbstractThe development of new AGNs selection techniques based on the massive multi-wavelength datasets that are becoming more and more frequent in astronomy is a crucial task to gather statistically significant samples and shed light on the physical nature of this diverse class of extragalactic sources. Novel characterizations of specific classes of sources from unexplored region of their spectrum and unusual combinations of the observational parameters can translate into new classification criteria. In this innovative data environment, the whole process ranging from the discovery of new patterns to the application of such patters to the selection of new AGNs, has to be tackled using a Knowledge Discovery (KD) workflow. A KD workflows is a combination of different KD methods that automatically extract the more interesting patters from data, reduce the complexity of the dataset and provide astronomers with the simplest possible amount of information to be interpreted. In this talk, I will describe an original KD workflow which, in one of its first applications, has led to the discovery of a previously unknown peculiar pattern followed by blazars in the mid-Infrared color space (the blazars WISE locus), and the development of a new classification criterion based on this pattern and useful to tackle different problems. The comprehensive KD workflow used to derive these results encompasses unsupervised methods for the exploration of the multi-dimensional observable spaces, and supervised method for the training and optimization of classifiers based on the patterns determined in the observable spaces. In particular, I will describe the new methods for the association of unidentified gamma-ray sources and the extraction of candidate blazars from mid-Infrared photometric catalog based on the WISE blazars locus.

scholarly journals A Large Population of Mid‐Infrared–selected, Obscured Active Galaxies in the Bootes Field

2007 ◽  
Vol 671 (2) ◽  
pp. 1365-1387 ◽  
Author(s):  
R. C. Hickox ◽  
C. Jones ◽  
W. R. Forman ◽  
S. S. Murray ◽  
M. Brodwin ◽  
...  
Keyword(s):  
Large Population ◽  
Active Galaxies ◽  
Mid Infrared
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