Spectral Energy Distributions of a Hard X-ray Selected AGN Sample in the Extended Groth Strip Cristina Ramos Almeida1, Jose Miguel Rodríguez Espinosa1,

Slides:



Advertisements
Similar presentations
207th AAS Meeting Washington D.C., 8-13 January The Spitzer SWIRE Legacy Program Spitzer Wide-Area Infrared Extragalactic Survey Mari Polletta (UCSD)
Advertisements

Elodie GIOVANNOLI Laboratoire d’Astrophysique de Marseille, FRANCE Advisor : Veronique BUAT Collaborators : Denis Burgarella, Stefan Noll Spectral energy.
X-ray spectral variability of seven LINER nuclei with XMM-Newton and Chandra data Author: Hernandez-Garcia, L; Gonzalez-Martin, O; Marquez, I; Masegosa.
Dark energy workshop Copenhagen Aug Why the SNLS ? Questions to be addressed: -Can the intrinsic scatter in the Hubble diagram be further reduced?
To study x-ray cavity statistically, we retrieved archival data from the Chandra archive. We obtained our initial sample from the Cluster of galaxies (1522),
Unresolved X-Ray Sources in Intermediate Redshift Cluster Fields Unresolved X-Ray Sources in Intermediate Redshift Cluster Fields S. Fawcett, A. Hicks,
Spitzer Reveals Activities of Supermassive Black Holes in Elliptical Galaxies Qiusheng Gu Nanjing University in collaboration with J.-S. Huang (CfA), G.
Optimal Photometry of Faint Galaxies Kenneth M. Lanzetta Stony Brook University.
COSMOS Kyoto meeting May 2005 Obscured AGN in the COSMOS field Andrea Comastri (INAF – Bologna) on behalf of the XMM-COSMOS team.
Luminous obscured quasars in the HELLAS2XMM survey: the Spitzer perspective Cristian Vignali Dipartimento di Astronomia, Universita`degli Studi di Bologna.
RESULTS AND ANALYSIS Mass determination Kauffmann et al. determined masses using SDSS spectra (Hdelta & D4000) Comparison with our determination: Relative.
Star-Formation in Close Pairs Selected from the Sloan Digital Sky Survey Overview The effect of galaxy interactions on star formation has been investigated.
Gamma-ray Bursts in Starburst Galaxies Introduction: At least some long duration GRBs are caused by exploding stars, which could be reflected by colours.
Bayesian Analysis of X-ray Luminosity Functions A. Ptak (JHU) Abstract Often only a relatively small number of sources of a given class are detected in.
Probing the X-ray Universe: Analysis of faint sources with XMM-Newton G. Hasinger, X. Barcons, J. Bergeron, H. Brunner, A. C. Fabian, A. Finoguenov, H.
AGN and Quasar Clustering at z= : Results from the DEEP2 + AEGIS Surveys Alison Coil Hubble Fellow University of Arizona Chandra Science Workshop.
Recent Imaging Results from SINGS G. J. Bendo, R. C. Kennicutt, L. Armus, D. Calzetti, D. A. Dale, B. T. Draine, C. W. Engelbracht, K. D. Gordon, A. D.
Exploring the Stellar Populations of Early-Type Galaxies in the 6dF Galaxy Survey Philip Lah Honours Student h Supervisors: Matthew Colless Heath Jones.
First Results from an HST/ACS Snapshot Survey of Intermediate Redshift, Intermediate X-ray Luminosity Clusters of Galaxies: Early Type Galaxies and Weak.
“false-color” keV X-ray image of the Bootes field A large population of mid-infrared selected, obscured AGN in the Bootes field Ryan C. Hickox Harvard-Smithsonian.
November Megan E. Eckart Caltech with Fiona Harrison, David Helfand, Daniel Stern, Luke Kotredes The SEXSI Survey: Recent Progress.
C. Halliday, A. Cimatti, J. Kurk, M. Bolzonella, E. Daddi, M. Mignoli, P. Cassata, M. Dickinson, A. Franceschini, B. Lanzoni, C. Mancini, L. Pozzetti,
Space Density of Heavily-Obscured AGN, Star Formation and Mergers Ezequiel Treister (IfA, Hawaii Ezequiel Treister (IfA, Hawaii) Meg Urry, Priya Natarajan,
UCL, Sept 16th 2008 Photometric redshifts in the SWIRE Survey - the need for infrared bands Michael Rowan-Robinson Imperial College London.
Photometric Catalog I-band selected photometric catalog containing ~800,000 galaxies (I (AB) < 26 mag) in 8 bands (UBVgRizK) Star-Galaxy separation using.
Optical Spectroscopy of Distant Red Galaxies Stijn Wuyts 1, Pieter van Dokkum 2 and Marijn Franx 1 1 Leiden Observatory, P.O. Box 9513, 2300RA Leiden,
The monitoring of GRB afterglows and the study of their host galaxies with the SAO RAS 6-m telescope from 1997 V. Sokolov et al. The review of main results.
Obscured AGN in the (z)COSMOS survey AGN9, Ferrara, May Angela Bongiorno Max-Planck-Institut für extraterrestrische Physik, Garching, GERMANY AND.
X-ray Surveys with Space Observatory Khyung Hee University Kim MinBae Park Jisook.
3.SED Fitting Method Figure3. A plot between IRAC ch2 magnitudes (4.5  m) against derived stellar masses indicating the relation of the stellar mass and.
Modern Quasar SEDs Zhaohui Shang ( Tianjin Normal University ) Kunming, Feb
RADIO OBSERVATIONS IN VVDS FIELD : PAST - PRESENT - FUTURE P.Ciliegi(OABo), Marco Bondi (IRA) G. Zamorani(OABo), S. Bardelli (OABo) + VVDS-VLA collaboration.
ASTRONOMY BROWN BAG SEMINAR SWIRE Spitzer Wide – area Infra Red Extragalactic survey MARCH 17, 2009 DAVID CORLISS.
SED OF NORMAL GALAXIES Josefa Masegosa *, Isabel Márquez*, Brigitte Rocca-Volmerange * *, Michel Fioc * * & Damien Leborgne*** *Instituto de Astrofísica.
Martin et al. Goal-determine the evolution of the IRX and extinction and relate to evolution of star formation rate as a function of stellar mass.
Properties of the point-like sources in the XMM-LSS field Olga Melnyk and XMM-LSS collaboration N. Clerc, L. Chiappetti, A. Elyiv, P.Gandhi, E.Gosset,
MMT Science Symposium1 “false-color” keV X-ray image of the Bootes field Thousands of AGNs in the 9.3 square degree Bootes field * X-ray and infrared.
An Evolutionary Model of Submillimeter Galaxies Sukanya Chakrabarti NSF Fellow CFA.
Revealing X-ray obscured Quasars in SWIRE sources with extreme MIR/O Giorgio Lanzuisi Fabrizio Fiore Enrico Piconcelli Chiara Feruglio Cristian Vignali.
Compton-thick AGN in the CDFN I. Georgantopoulos NOA A. Akylas NOA A. Georgakakis NOA M. Rovilos MPE M. Rowan-Robinson Imperial College.
Emission Line Galaxy Targeting for BigBOSS Nick Mostek Lawrence Berkeley National Lab BigBOSS Science Meeting Novemenber 19, 2009.
Obscured Star Formation in Small Galaxies out to z
The HerMES SPIRE Submillimeter Luminosity Function Mattia Vaccari & Lucia Marchetti & Alberto Franceschini (University of Padova) Isaac Roseboom (University.
AGN / Starbursts in the very dusty systems in Bootes Kate Brand + the Bootes team NOAO Lijiang, August 2005.
Spectral Energy Distributions of obscured AGN E. Lusso, A. Comastri, E. Treister, D. Sanders, H. Hao, M. Elvis, C. Vignali, R. Gilli, G.Zamorani, M. Brusa,
AGN Content of the  Jy Population Through X-ray stacking Franz Bauer (Columbia), Glenn Morrison (Hawaii) FOR CDF/GOODS Teams.
1 Lei Bai George Rieke Marcia Rieke Steward Observatory Infrared Luminosity Function of the Coma Cluster.
“SPITZER observations of luminous obscured Quasars” Enrica Bellocchi in collaboration with A. Comastri, F. Pozzi, C. Vignali, J. Fritz, L. Pozzetti on.
Rachel Anderson Laura Parker William Harris Department of Physics & Astronomy, McMaster University Hamilton, Ontario, L8S-4M1, Canada Searching for Galaxy.
Spectral classification of galaxies of LAMOST DR3
AEGIS-X: Results from the Chandra survey of the Extended Groth Strip
From: Discovery of carbon-rich Miras in the Galactic bulge
NICMOS Measurements of the Near Infrared Background
Understanding the near infrared spectrum of quasars
EVOLUTION OF LUMINOSITY-LINEAR SIZE RELATION
Photometric redshift estimation.
From: The evolution of star formation activity in galaxy groups
Figure 1. Three light curves of IRAS 13224–3809 in 600-s bins
Mathew A. Malkan (UCLA) and Sean T. Scully (JMU)
Discovery of the near-IR Afterglow of GRB
Perceived Speed of Colored Stimuli
The µJy Sky and the Radio-FIR relation vs. z
Tracing the Accretion History of the Universe by stacking X-rays from Red Galaxies in the NDWFS Kate Brand, NOAO, Tucson A. Dey, B. Jannuzi, M. Brown,
Yuka Katsuno Uchimoto Institute of Astronomy, University of Tokyo
Supersoft X-ray sources in M31
The Stellar Population of Metal−Poor Galaxies at z~1
Speaker: Longbiao Li Collaborators: Yongfeng Huang, Zhibin Zhang,
Volume 111, Issue 2, Pages (July 2016)
Volume 65, Issue 4, Pages (February 2010)
by S. van Velzen, G. E. Anderson, N. C. Stone, M. Fraser, T. Wevers, B
Presentation transcript:

Spectral Energy Distributions of a Hard X-ray Selected AGN Sample in the Extended Groth Strip Cristina Ramos Almeida1, Jose Miguel Rodríguez Espinosa1, Guillermo Barro2, Jesús Gallego2 y Pablo G. Pérez González2 1 Instituto de Astrofísica de Canarias, 2 Universidad Complutense de Madrid Abstract We present ultraviolet to mid-infrared spectral energy distributions for a sample of 116 AGN selected both in X-rays and mid-infrared (96 with single detections and 20 with double optical counterparts) in the extended Groth strip. A complete set of different AGN types and starburst galaxy templates are used to fit the objects SEDs using the HyperZ photometric redshift code. Five main template groups are considered: Pure Starburst (24% of the sample), AGN contaminated by Starbursts (7 %), Type-1 AGN (21 %), Type-2 AGN (24 %), and Ellipticals & Spirals (24 %). Type-2 AGN and Ellipticals & Spirals sources are concentrated at low redshifts, whereas Pure Starburst and Type-1 AGN show a larger dispersion (objects have photometric redshifts ranging from z=0 to 3). This way, we have developed a reliable method of detection of starbursts at high redshifts coexisting with AGN. Correlations between hard/soft X-ray and ultraviolet, optical and infrared luminosities are reported, showing a noticeable improvement when only Type-1 AGN-fitted objects are considered. For the rest of the populations, these correlations get worse, probably due to the higher obscuration that affects the objects in these populations. For the 20 objects with double detections photometric redshifts have been also calculated. The percentage of Pure Starburst objects amongst this subset increases up to 48%. Sample and multi-wavelength data. The sample comprises 116 AGN taken from Barmby et al. (2006) in the extended Groth strip. These objects were selected in X-rays using data from Chandra and XMM-Newton, and all of them have secure detections in all four IRAC bands (Spitzer) in the mid-infrared, together with MIPS data in most of cases. Cross-matching of all sources between the X-ray, ultraviolet (GALEX), optical (CFHTLS), near-infrared (AEGIS), and mid-infrared have been performed. We find 96 sources with unique detections in all bands, plus another 20 objects with double detections in ground-based images. Spectral energy distributions and photometric redshifts of objects with unique detection. We have classified the SEDs of the 96 objects with exclusive detections and estimated their photometric redshifts using the HyperZ photometric redshift code (Bolzonella, Miralles & Pelló 2000) to fit the library of starburst, AGN and galaxy templates from Polletta et al. (2007). Examples of HyperZ fits for each one of the employed templates are shown in Fig. 1, divided in main five groups. The percentage found for each group is labelled. Fig. 2.- Comparison between photometric and spectroscopic redshifts for the 39 sources with zSPEC from the DEEP data archive. The solid line corresponds to zSPEC =zSPEC. Horizontal error bars indicate the reliability of the zSPEC (flag = 1 for the less reliable). The five outliers are labelled (note that there are not outliers when only the 28 galaxies with reliable zSPEC are considered). Fig. 1.- Examples of scaled SEDs in our sample (dots) fitted with different templates for the five groups considered. The X-axis corresponds to observed λ. Correlations. If the active nucleus is the dominant source at all wavelengths, tight linear correlations should be drawn. However, AGN are hosted by different galaxies, that contaminate and mask them, deviating the correlations from linear and worsening them. Both the X-ray and the mid-infrared emissions are mostly dominated by the active nucleus, whereas the optical and the near-infrared are more affected by extinction or by stellar emission. This is clearly reflected in the first row of Table 1. We also reported slopes and correlation coefficients for the five main groups considered. Type-1 AGN-fitted objects display the most tight and linear correlations of the sample, what gives confidence in our fits. Fig. 3.- Histograms for the Pure Starburst, Type-1 AGN, Type-2 AGN, and Elliptical & Spirals groups. Mean photometric redshift, together with the number of objects included in each group are reported in each panel. Fig. 4.- IRAC color-color plot for the 96 sources in the sample. The dashed line corresponds to Stern et al. (2005) empirical segregation of AGN. Type-1 AGN are all contained in this region. There are many SB and Type-2 AGN inside also, with higher mean redshifts than those in the same groups that are outside the dashed lines. Fig. 5.- Mid-infrared to optical ratio versus the r-z and r-IRAC 3.6 colors. The most obscured objects (Pure SB and Type-2 AGN) are located at the upper-right corner of both figures. References. Barmby, P., et al. 2006, ApJ, 642, 126 Bolzonella, M., Miralles, J.-M., & Pelló, R. 2000, A&A, 363, 476 Polletta, M. et al. 2007, ApJ, 663, 81 Stern, D., et al. 2002, ApJ, 568, 71 1.- 1