SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region

S. Falocco, M. Paolillo, G. Covone, D. De Cicco, G. Longo, A. Grado, L. Limatola, M. Vaccari, M. T. Botticella, G. Pignata, E. Cappellaro, D. Trevese, F. Vagnetti, M. Salvato, M. Radovich, L. Hsu, M. Capaccioli, N. Napolitano, W. N. Brandt, A. BaruffoloE. Cascone, P. Schipani

Resultado de la investigación: Article

17 Citas (Scopus)

Resumen

One of the most peculiar characteristics of active galactic nuclei (AGNs) is their variability over all wavelengths. This property has been used in the past to select AGN samples and is foreseen to be one of the detection techniques applied in future multi-epoch surveys, complementing photometric and spectroscopic methods. Aims. In this paper, we aim to construct and characterise an AGN sample using a multi-epoch dataset in the r band from the SUDARE-VOICE survey. Methods. Our work makes use of the VST monitoring programme of an area surrounding the Chandra Deep Field South to select variable sources. We use data spanning a six-month period over an area of 2 square degrees, to identify AGN based on their photometric variability. Results. The selected sample includes 175 AGN candidates with magnitude r< 23 mag. We distinguish different classes of variable sources through their lightcurves, as well as X-ray, spectroscopic, SED, optical, and IR information overlapping with our survey. Conclusions. We find that 12% of the sample (21/175) is represented by supernovae (SN). Of the remaining sources, 4% (6/154) are stars, while 66% (102/154) are likely AGNs based on the available diagnostics. We estimate an upper limit to the contamination of the variability selected AGN sample a 34%, but we point out that restricting the analysis to the sources with available multi-wavelength ancillary information, the purity of our sample is close to 80% (102 AGN out of 128 non-SN sources with multi-wavelength diagnostics). Our work thus confirms the efficiency of the variability selection method, in agreement with our previous work on the COSMOS field. In addition we show that the variability approach is roughly consistent with the infrared selection.

Idioma originalEnglish
Número de artículoA115
PublicaciónAstronomy and Astrophysics
Volumen579
DOI
EstadoPublished - 1 jul 2015

Huella dactilar

active galaxies
active galactic nuclei
wavelength
time measurement
wavelengths
monitoring
method
supernovae
purity
contamination
stars
estimates

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Citar esto

Falocco, S. ; Paolillo, M. ; Covone, G. ; De Cicco, D. ; Longo, G. ; Grado, A. ; Limatola, L. ; Vaccari, M. ; Botticella, M. T. ; Pignata, G. ; Cappellaro, E. ; Trevese, D. ; Vagnetti, F. ; Salvato, M. ; Radovich, M. ; Hsu, L. ; Capaccioli, M. ; Napolitano, N. ; Brandt, W. N. ; Baruffolo, A. ; Cascone, E. ; Schipani, P. / SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region. En: Astronomy and Astrophysics. 2015 ; Vol. 579.
@article{5dfb0e41f1c344f9ae191a429429a66c,
title = "SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region",
abstract = "One of the most peculiar characteristics of active galactic nuclei (AGNs) is their variability over all wavelengths. This property has been used in the past to select AGN samples and is foreseen to be one of the detection techniques applied in future multi-epoch surveys, complementing photometric and spectroscopic methods. Aims. In this paper, we aim to construct and characterise an AGN sample using a multi-epoch dataset in the r band from the SUDARE-VOICE survey. Methods. Our work makes use of the VST monitoring programme of an area surrounding the Chandra Deep Field South to select variable sources. We use data spanning a six-month period over an area of 2 square degrees, to identify AGN based on their photometric variability. Results. The selected sample includes 175 AGN candidates with magnitude r< 23 mag. We distinguish different classes of variable sources through their lightcurves, as well as X-ray, spectroscopic, SED, optical, and IR information overlapping with our survey. Conclusions. We find that 12{\%} of the sample (21/175) is represented by supernovae (SN). Of the remaining sources, 4{\%} (6/154) are stars, while 66{\%} (102/154) are likely AGNs based on the available diagnostics. We estimate an upper limit to the contamination of the variability selected AGN sample a 34{\%}, but we point out that restricting the analysis to the sources with available multi-wavelength ancillary information, the purity of our sample is close to 80{\%} (102 AGN out of 128 non-SN sources with multi-wavelength diagnostics). Our work thus confirms the efficiency of the variability selection method, in agreement with our previous work on the COSMOS field. In addition we show that the variability approach is roughly consistent with the infrared selection.",
keywords = "Galaxies: active, Infrared: galaxies, Surveys",
author = "S. Falocco and M. Paolillo and G. Covone and {De Cicco}, D. and G. Longo and A. Grado and L. Limatola and M. Vaccari and Botticella, {M. T.} and G. Pignata and E. Cappellaro and D. Trevese and F. Vagnetti and M. Salvato and M. Radovich and L. Hsu and M. Capaccioli and N. Napolitano and Brandt, {W. N.} and A. Baruffolo and E. Cascone and P. Schipani",
year = "2015",
month = "7",
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doi = "10.1051/0004-6361/201425111",
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Falocco, S, Paolillo, M, Covone, G, De Cicco, D, Longo, G, Grado, A, Limatola, L, Vaccari, M, Botticella, MT, Pignata, G, Cappellaro, E, Trevese, D, Vagnetti, F, Salvato, M, Radovich, M, Hsu, L, Capaccioli, M, Napolitano, N, Brandt, WN, Baruffolo, A, Cascone, E & Schipani, P 2015, 'SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region', Astronomy and Astrophysics, vol. 579, A115. https://doi.org/10.1051/0004-6361/201425111

SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region. / Falocco, S.; Paolillo, M.; Covone, G.; De Cicco, D.; Longo, G.; Grado, A.; Limatola, L.; Vaccari, M.; Botticella, M. T.; Pignata, G.; Cappellaro, E.; Trevese, D.; Vagnetti, F.; Salvato, M.; Radovich, M.; Hsu, L.; Capaccioli, M.; Napolitano, N.; Brandt, W. N.; Baruffolo, A.; Cascone, E.; Schipani, P.

En: Astronomy and Astrophysics, Vol. 579, A115, 01.07.2015.

Resultado de la investigación: Article

TY - JOUR

T1 - SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region

AU - Falocco, S.

AU - Paolillo, M.

AU - Covone, G.

AU - De Cicco, D.

AU - Longo, G.

AU - Grado, A.

AU - Limatola, L.

AU - Vaccari, M.

AU - Botticella, M. T.

AU - Pignata, G.

AU - Cappellaro, E.

AU - Trevese, D.

AU - Vagnetti, F.

AU - Salvato, M.

AU - Radovich, M.

AU - Hsu, L.

AU - Capaccioli, M.

AU - Napolitano, N.

AU - Brandt, W. N.

AU - Baruffolo, A.

AU - Cascone, E.

AU - Schipani, P.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - One of the most peculiar characteristics of active galactic nuclei (AGNs) is their variability over all wavelengths. This property has been used in the past to select AGN samples and is foreseen to be one of the detection techniques applied in future multi-epoch surveys, complementing photometric and spectroscopic methods. Aims. In this paper, we aim to construct and characterise an AGN sample using a multi-epoch dataset in the r band from the SUDARE-VOICE survey. Methods. Our work makes use of the VST monitoring programme of an area surrounding the Chandra Deep Field South to select variable sources. We use data spanning a six-month period over an area of 2 square degrees, to identify AGN based on their photometric variability. Results. The selected sample includes 175 AGN candidates with magnitude r< 23 mag. We distinguish different classes of variable sources through their lightcurves, as well as X-ray, spectroscopic, SED, optical, and IR information overlapping with our survey. Conclusions. We find that 12% of the sample (21/175) is represented by supernovae (SN). Of the remaining sources, 4% (6/154) are stars, while 66% (102/154) are likely AGNs based on the available diagnostics. We estimate an upper limit to the contamination of the variability selected AGN sample a 34%, but we point out that restricting the analysis to the sources with available multi-wavelength ancillary information, the purity of our sample is close to 80% (102 AGN out of 128 non-SN sources with multi-wavelength diagnostics). Our work thus confirms the efficiency of the variability selection method, in agreement with our previous work on the COSMOS field. In addition we show that the variability approach is roughly consistent with the infrared selection.

AB - One of the most peculiar characteristics of active galactic nuclei (AGNs) is their variability over all wavelengths. This property has been used in the past to select AGN samples and is foreseen to be one of the detection techniques applied in future multi-epoch surveys, complementing photometric and spectroscopic methods. Aims. In this paper, we aim to construct and characterise an AGN sample using a multi-epoch dataset in the r band from the SUDARE-VOICE survey. Methods. Our work makes use of the VST monitoring programme of an area surrounding the Chandra Deep Field South to select variable sources. We use data spanning a six-month period over an area of 2 square degrees, to identify AGN based on their photometric variability. Results. The selected sample includes 175 AGN candidates with magnitude r< 23 mag. We distinguish different classes of variable sources through their lightcurves, as well as X-ray, spectroscopic, SED, optical, and IR information overlapping with our survey. Conclusions. We find that 12% of the sample (21/175) is represented by supernovae (SN). Of the remaining sources, 4% (6/154) are stars, while 66% (102/154) are likely AGNs based on the available diagnostics. We estimate an upper limit to the contamination of the variability selected AGN sample a 34%, but we point out that restricting the analysis to the sources with available multi-wavelength ancillary information, the purity of our sample is close to 80% (102 AGN out of 128 non-SN sources with multi-wavelength diagnostics). Our work thus confirms the efficiency of the variability selection method, in agreement with our previous work on the COSMOS field. In addition we show that the variability approach is roughly consistent with the infrared selection.

KW - Galaxies: active

KW - Infrared: galaxies

KW - Surveys

UR - http://www.scopus.com/inward/record.url?scp=84948410635&partnerID=8YFLogxK

U2 - 10.1051/0004-6361/201425111

DO - 10.1051/0004-6361/201425111

M3 - Article

AN - SCOPUS:84948410635

VL - 579

JO - Astronomy and Astrophysics

JF - Astronomy and Astrophysics

SN - 0004-6361

M1 - A115

ER -