TY - JOUR
T1 - Emission-line galaxies from the pears hubble ultra deep field
T2 - A 2D detection method and first results
AU - Straughn, Amber N.
AU - Meurer, Gerhardt R.
AU - Pirzkal, Norbert
AU - Cohen, Seth H.
AU - Malhotra, Sangeeta
AU - Rhoads, James
AU - Windhorst, Rogier A.
AU - Gardner, Jonathan P.
AU - Hathi, Nimish P.
AU - Xu, Chun
AU - Gronwall, Caryl
AU - Koekemoer, Anton M.
AU - Walsh, Jeremy
AU - Di Serego Alighieri, Sperello
PY - 2008/4/1
Y1 - 2008/4/1
N2 - The Hubble Space Telescope Advanced Camera for Surveys grism Probing Evolution And Reionization Spectroscopically (PEARS) survey provides a large dataset of low-resolution spectra from thousands of galaxies in the GOODS north and south fields. One important subset of objects in these data is emission-line galaxies (ELGs), and we have investigated several different methods aimed at systematically selecting these galaxies. Here, we present a new methodology and results of a search for these ELGs in the PEARS observations of the Hubble Ultra Deep Field (HUDF) using a 2D detection method that utilizes the observation that many emission lines originate from clumpy knots within galaxies. This 2D line-finding method proves to be useful in detecting emission lines from compact knots within galaxies that might not otherwise be detected using more traditional 1D line-finding techniques. We find in total 96 emission lines in the HUDF, originating from 81 distinct "knots" within 63 individual galaxies. We find in general that [O III] emitters are the most common, comprising 44% of the sample, and on average have high equivalent widths (70% of [O III] emitters having rest-frame EW>100 ). There are 12 galaxies with multiple emitting knots - with different knots exhibiting varying flux values, suggesting that the differing star-formation properties across a single galaxy can in general be probed at redshifts ≳0.2-0.4. The most prevalent morphologies are large face-on spirals and clumpy interacting systems, many being unique detections owing to the 2D method described here, thus highlighting the strength of this technique.
AB - The Hubble Space Telescope Advanced Camera for Surveys grism Probing Evolution And Reionization Spectroscopically (PEARS) survey provides a large dataset of low-resolution spectra from thousands of galaxies in the GOODS north and south fields. One important subset of objects in these data is emission-line galaxies (ELGs), and we have investigated several different methods aimed at systematically selecting these galaxies. Here, we present a new methodology and results of a search for these ELGs in the PEARS observations of the Hubble Ultra Deep Field (HUDF) using a 2D detection method that utilizes the observation that many emission lines originate from clumpy knots within galaxies. This 2D line-finding method proves to be useful in detecting emission lines from compact knots within galaxies that might not otherwise be detected using more traditional 1D line-finding techniques. We find in total 96 emission lines in the HUDF, originating from 81 distinct "knots" within 63 individual galaxies. We find in general that [O III] emitters are the most common, comprising 44% of the sample, and on average have high equivalent widths (70% of [O III] emitters having rest-frame EW>100 ). There are 12 galaxies with multiple emitting knots - with different knots exhibiting varying flux values, suggesting that the differing star-formation properties across a single galaxy can in general be probed at redshifts ≳0.2-0.4. The most prevalent morphologies are large face-on spirals and clumpy interacting systems, many being unique detections owing to the 2D method described here, thus highlighting the strength of this technique.
UR - http://www.scopus.com/inward/record.url?scp=50849102032&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50849102032&partnerID=8YFLogxK
U2 - 10.1088/0004-6256/135/4/1624
DO - 10.1088/0004-6256/135/4/1624
M3 - Article
AN - SCOPUS:50849102032
SN - 0004-6256
VL - 135
SP - 1624
EP - 1635
JO - Astronomical Journal
JF - Astronomical Journal
IS - 4
ER -