GOODS-Herschel: Separating High Redshift active galactic Nuclei and star forming galaxies Using Infrared Color Diagnostics
Allison Kirkpatrick, Alexandra Pope, Vassilis Charmandaris, Emmanuele, Daddi, David Elbaz, Ho Seong Hwang, Maurilio Pannella, Douglas Scott, Bruno, Altieri, Herve Aussel, Daniela Coia, Helmut Dannerbauer, Kalliopi Dasyra,, Mark Dickinson, Jeyhan Kartaltepe, Roger Leiton

TL;DR
This study develops and tests infrared color diagnostics using multi-wavelength photometry to effectively distinguish high-redshift active galactic nuclei from star-forming galaxies, aiding in understanding galaxy evolution.
Contribution
Introduces new IR color-color diagnostics combining mid-IR, far-IR, and near-IR data with low contamination rates for classifying galaxy power sources.
Findings
Optimal diagnostics are S250/S24 vs. S8.0/S3.6 and S100/S24 vs. S8.0/S3.6.
Diagnostics have ~10% contamination rate.
WISE mid-IR bands can identify high-z star-forming galaxies without far-IR data.
Abstract
We have compiled a large sample of 151 high redshift (z=0.5-4) galaxies selected at 24 microns (S24>100 uJy) in the GOODS-N and ECDFS fields for which we have deep Spitzer IRS spectroscopy, allowing us to decompose the mid-infrared spectrum into contributions from star formation and activity in the galactic nuclei. In addition, we have a wealth of photometric data from Spitzer IRAC/MIPS and Herschel PACS/SPIRE. We explore how effective different infrared color combinations are at separating our mid-IR spectroscopically determined active galactic nuclei from our star forming galaxies. We look in depth at existing IRAC color diagnostics, and we explore new color-color diagnostics combining mid-IR, far-IR, and near-IR photometry, since these combinations provide the most detail about the shape of a source's IR spectrum. An added benefit of using a color that combines far-IR and mid-IR…
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