The Infrared Properties of Sources in the H-ATLAS and WISE Surveys

Similar documents
Dusty star-forming galaxies at high redshift (part 5)

erschel ATLAS Steve Eales and the H-ATLAS and HerMES teams

Dusty star-forming galaxies at high redshift (part 5)

SOFIA/HAWC+ Detection of a Gravitationally Lensed Starburst Galaxy at z = 1.03

Star forming galaxies at high redshift: news from Herschel

Lensing & Herschel unveils extreme starformation at z 2

The Herschel Multi-tiered Extragalactic Survey (HerMES) The Evolution of the FIR/SMM Luminosity Function and of the Cosmic SFRD

Galaxies 626. Lecture 10 The history of star formation from far infrared and radio observations

Massively Star-Forming Dusty Galaxies. Len Cowie JCMT Users Meeting

Exploring star formation in cluster galaxies. the Herschel Space Observatory. Tim Rawle. Steward Observatory, University of Arizona

The star-formation history of mass-selected galaxies in the VIDEO survey

Lecture 11: SDSS Sources at Other Wavelengths: From X rays to radio. Astr 598: Astronomy with SDSS

Distant galaxies: a future 25-m submm telescope

Chien-Ting Chen! Dartmouth College

The second Herschel -ATLAS Data Release - III: optical and near-infrared counterparts in the North Galactic Plane field

Star Formation Indicators

The ALMA z=4 Survey (AR4S)

The Far-Infrared Radio Correlation in Galaxies at High Redshifts

Extragalactic Astronomy

Far-infrared Herschel SPIRE spectroscopy reveals physical conditions of ionised gas in high-redshift lensed starbursts

Galaxy Evolution at High Redshift: The Future Remains Obscure. Mark Dickinson (NOAO)

David T. Frayer (NRAO-GB), A. Harris, A. Baker, M. Negrello, R. Ivison, I. Smail, M. Swinbank, D. Windemuth, S. Stierwalt, H-ATLAS and GOALS Teams

The evolution of the Galaxy Stellar Mass Function:

IRS Spectroscopy of z~2 Galaxies

WHAT CAN WE LEARN ABOUT SUBMILLIMETER GALAXIES FROM INTERFEROMETRIC IMAGING? Joshua D. Younger Harvard/CfA

Measuring star formation in galaxies and its evolution. Andrew Hopkins Australian Astronomical Observatory

Type Ia Supernovae: Standardizable Candles and Crayons

SUPPLEMENTARY INFORMATION

arxiv: v1 [astro-ph.ga] 14 May 2015

Dusty star-forming galaxies at high redshift (part 7)

Towards a Complete Census of Extreme Starbursts in the Early Universe

Disk Building Processes in the local Massive HI LIRG HIZOA J A prototype for disk galaxies at z=1?

Dust properties of galaxies at redshift z 5-6

Galaxy and Mass Assembly (GAMA): Evolution of the mass-size relation

Evolution of Star Formation Activity of Galaxies as seen by Herschel

THE CONNECTION BETWEEN STAR FORMATION AND DARK MATTER HALOS AS SEEN IN THE INFRARED

Radio Quiet AGN: Black Hole & Host Galaxy Proper;es

STAR FORMATION ALONG A CLUSTER-FEEDING FILAMENT

Astro2020 Science White Paper Taking Census of Massive, Star-Forming Galaxies formed <1 Gyr After the Big Bang

Survey of dusty AGNs based on the mid-infrared all-sky survey catalog

Astronomy across the spectrum: telescopes and where we put them. Martha Haynes Exploring Early Galaxies with the CCAT June 28, 2012

The mean star formation rates of unobscured QSOs: searching for evidence of suppressed or enhanced star formation

Astronomy across the spectrum: telescopes and where we put them. Martha Haynes Discovering Dusty Galaxies July 7, 2016

arxiv: v1 [astro-ph.ga] 16 Oct 2018

SPT SMGs: High-redshift star formation under the cosmic microscope

The Cornell Atlas of Spitzer Spectra (CASSIS) and recent advances in the extraction of complex sources

arxiv: v1 [astro-ph.ga] 31 Mar 2014

Survey of dusty AGNs based on the mid-infrared all-sky survey catalog. Shinki Oyabu (Nagoya University) & MSAGN team

This document is provided by JAXA.

The Swift GRB Host Galaxy Legacy Survey

Current Status of JINGLE

The History of Star Formation. Mark Dickinson, NOAO

Sparse Composite Models of Galaxy Spectra (or Anything) using L1 Norm Regularization. Benjamin Weiner Steward Observatory University of Arizona

Occupy Dark Matter: Accessing the 99% of dusty galaxies that lie beneath the confusion noise floor. Marco Viero - Caltech

Access from the University of Nottingham repository:

Multiwavelength Observations of Dust-Obscured Galaxies Revealed by Gamma-Ray Bursts

Hunting for Infrared Signatures of Supermassive Black Hole Activity in Dwarf Galaxies

Chris Pearson: RAL Space. Chris Pearson: April

HIGH REDSHIFT OBJECTS. Alain Omont (IAP)

arxiv: v1 [astro-ph.ga] 8 Jun 2015

A mid and far-ir view of the star formation activity in galaxy systems and their surroundings

Dusty Starforming Galaxies: Astrophysical and Cosmological Relevance

Molecules at High Redshift (CO in Spitzer and Herschel-selected High-z Samples) David T. Frayer (NRAO), H-ATLAS, GOODS-H, FIDEL, and Zpectrometer

CCAT: Key Science Goals. Jonas Zmuidzinas and the CCAT Science Steering Committee

Star formation in XMMU J : a massive galaxy cluster at z=1.4

Revealing the Large Scale Distribution of Star Formation in the Milky Way with WISE

Characterising the last 8 Gyr. The present-day Universe

arxiv: v2 [astro-ph.co] 20 Apr 2013

arxiv: v1 [astro-ph.co] 27 May 2009

Radio infrared correlation for galaxies: from today's instruments to SKA

Studying Galaxy Evolution with FIRI. A Far-InfraRed Interferometer for ESA. Dimitra Rigopoulou Oxford/RAL-STFC

arxiv: v1 [astro-ph.co] 17 May 2013

Radio Afterglows. What Good are They? Dale A. Frail. National Radio Astronomy Observatory. Gamma Ray Bursts: The Brightest Explosions in the Universe

Test #1! Test #2! Test #2: Results!

Searching for the dominant mode of galaxy growth! from deep extragalactic Herschel surveys! D.Elbaz (CEA Saclay)

POLYCYCLIC AROMATIC HYDROCARBON CONTRIBUTION TO THE INFRARED OUTPUT ENERGY OF THE UNIVERSE AT Z 2

The The largest assembly ESO high-redshift. Lidia Tasca & VUDS collaboration

A prelude to SKA. High-resolution mapping of the ujy radio population. Ian Smail ICC, Durham University Tom Muxlow, JBCA, University of Manchester

20x increase from z = 0 to 2!

The Redshift Evolution of Bulges and Disks of Spiral Galaxies in COSMOS

ALMA and the high redshift Universe. Simon Lilly ETH Zürich

The Swift GRB Host Galaxy Legacy Survey

arxiv:astro-ph/ v1 5 Nov 2003

The main sequence from stars to galaxies pc kpc Mpc. Questions

LoCuSS: A Legacy Survey of Galaxy Clusters at z=0.2

Andromeda in all colours

The star formation history of mass-selected galaxies in the COSMOS field

arxiv: v2 [astro-ph.ga] 15 Jul 2016

UV/optical spectroscopy of Submilliimeter Galaxies

Active Galactic Nuclei in the infrared: identification, energetic and properties of the obscuring material

Dominik A. Riechers Cornell University

THE LAST SURVEY OF THE OLD WSRT: TOOLS AND RESULTS FOR THE FUTURE HI ABSORPTION SURVEYS

The bolometric output of AGN in the XMM-COSMOS survey

Hot dust, warm dust and star formation in NLS1s

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): / X/799/1/81

Luminous Infrared Galaxies

Molecular Gas and the Host Galaxies of Infrared-Excess Quasi-Stellar Objects

Introduction and Motivation

Hubble s Law and the Cosmic Distance Scale

Automated Cross-identifying Radio to Infra-red Surveys Using the LRPY Algorithm: A Case Study.

Transcription:

The Infrared Properties of Sources in the H-ATLAS and WISE Surveys Nicholas Bond (NASA Goddard) Collaborators: Jonathan Gardner, Dominic Benford (Goddard), Andrew Blain (Leicester), Loretta Dunne (Nottingham), Simone Fleuren (Queen Mary, University of London), Dan Smith (Hertfordshire), Alexandre Amblard (NASA/Ames), Asantha Cooray (UC Irvine), H-ATLAS and WISE collaborations

- Working in GAMA 15-hr field, ~36 deg 2 Wide-field Infrared Survey Explorer (WISE): Survey data - 5σ point-source depths of 0.048, 0.10, 0.73, and 5.9 mjy at 3.4, 4.6, 12, and 22µm - ~6 resolution at 3.4 µm Herschel Astrophysical Terahertz Large-Area Survey (H- ATLAS): - 5σ point-source depths of 34, 40, and 44 mjy at 250, 350, and 500 µm - Final catalog will cover ~550 deg 2 - spec-z s from GAMA (r<19.5, Driver et al. 2011) and phot-z s from SDSS+UKIDSS - ~18 resolution at 250 µm, astrometry good to ~2.4

NIR/MIR detection rates for FIR fluxlimited surveys - Detection rates computed within 10 apertures, corrected for expected background/ foreground contamination rate - > 95% for sources >100 mjy in any SPIRE band, 250 500 µm, dominated by low-z sources - Toward fainter WISE fluxes, high-redshift sources make up increasing fraction of matches 3.4 µm 4.6 µm 12 µm 22 µm FIR flux (mjy) Solid: 250 µm Dashed: 350 µm Dotted: 500 µm

Cross-identification and verification - Remove likely stars ([3.4] - [4.6] > 0) - Identify with a maximum likelihood algorithm (Sutherland & Sanders 1992, Smith et al. 2010) - Likelihood given by L = f(r)q(m)/n(m) - Where f(r) is a Gaussian radial probability distribution, q (m) is the 3.4 µm magnitude distribution of IDed sources, and n(m) is the magnitude distribution of background/ foreground sources - Successfully identify 50.4% of H-ATLAS sources in at least one WISE band (usually 3.4 µm), including 85.7% of sources with optical/nir redshifts

FIR colors and redshift distribution - H-ATLAS sources w/redshift have 0 < z < 0.8 (see inset) - For no-redshift sample, use Monte Carlo simulations from Amblard et al. 2010 to estimate redshift from FIR colors range of modified blackbody spectra with 10 < T < 60 K and 0 <ε<2 - Median flux ratios for noredshift sample indicated by dashed lines, suggests z ~ 2 if T ~ 35 K (z ~ 1 if T ~ 25 K)

NIR-FIR colors for submm-selected galaxies - Two flux-limited samples, f 3.4 >0.07 mjy, f 250 >34 mjy - Majority of low-redshift sources (colored points) well detected at 3.4 µm - Decrease in flux ratio w/ redshift due to k-correction and increasing specific star formatin rates - Sources w/o measured redshifts indicated by contours, small flux ratio indicates high redshift or extreme intrinsic color (Arp 220-like)

WISE color space AGN selection - WISE color space differentiates stars and early-type galaxies (lower left), star-forming galaxies (lower right), and AGNs (dashed box, Jarrett et al. 2011) - Selection region looks for powerlaw continuum in NIR and MIR - Of sources with IDs and WISE detections out to 12 µm, ~10% consistent with AGN, including ~25% of those in no-redshift sample - Cruder AGN selection with [3.4]- [4.6] > 0.8 also gives 25% AGN fraction over larger fraction of sample

Rest-frame luminosities in the NIR and FIR - Sources w/spectroscopic 0.05 < z < 0.4, stars indicate AGNS, dashed lines approximate selection regions Redshift - k-corrections performed in FIR assuming T = 30 K and ε = 1.5, NIR using power-law interpolation of the [3.4] [4.6] color - Best-fit power-law has α = 1.00 ± 0.07, ~50% scatter - Correlation likely driven by linear relation between SFR and stellar mass (e.g., Daddi et al. 2007, Elbaz et al. 2010)

Future Work - Create full matched catalog

Results summary - Successfully identify 50% of H-ATLAS 250 µm sources in WISE 3.4 µm, with flux limits of 34 mjy and 0.07 mjy, respectively - Majority of H-ATLAS sources with pre-existing optical/nir redshifts (0 < z < 0.8) are well detected at 3.4 µm, with an ID rate of ~85% - Majority of no-redshift sample likely to be at high redshift (z ~ 2) because FIR colors are consistent with either moderate temperatures (T ~ 35 K) at high-z (z ~ 2) or very low temperatures (T ~ 17 K) at low-z (z ~ 0.5) FIR/NIR colors are ~3 times redder than typical low-z galaxies with measured redshifts and FIR detections (Arp 220-like if at low z) AGN fraction of no-redshift sources is high (25%) - Find linear correlation between 3.4 µm and 250 µm luminosities over two decades in luminosity for H-ATLAS sources at 0.05 < z < 0.4

NIR magnitude and color distributions

NIR-FIR colors vs. redshift

FIR flux ratios for galaxies with spec-z

Sample SEDs