deep2: redshift identification of single-line emission galaxies
DESCRIPTION
Evan Kirby Raja Guhathakurta, Sandy Faber, Benjamin Weiner, Michael Cooper, DEEP2 Team. DEEP2: Redshift Identification of Single-Line Emission Galaxies. Easy Redshift. z = 0.112!. Difficult Redshift. z = 0.093. Single line! z = ???. A single line is …. H α 6563 Å [O III ] 5007 Å - PowerPoint PPT PresentationTRANSCRIPT
January 9, 2007January 9, 2007
11 / 8 / 8
DEEP2: Redshift DEEP2: Redshift Identification of Single-Line Identification of Single-Line
Emission GalaxiesEmission Galaxies
Evan KirbyEvan Kirby
Raja Guhathakurta, Sandy Faber,Raja Guhathakurta, Sandy Faber,
Benjamin Weiner, Michael Cooper,Benjamin Weiner, Michael Cooper,
DEEP2 TeamDEEP2 Team
22 / 8 / 8
Easy RedshiftEasy Redshift
z = 0.112!z = 0.112!
33 / 8 / 8
Difficult RedshiftDifficult Redshift
Single line!
z = ???
Single line!
z = ???z = 0.093z = 0.093
44 / 8 / 8
A single line is …A single line is …
• HHαα 6563 6563 ÅÅ• [O[OIIIIII]] 5007 Å 5007 Å• HHββ 4861 4861 ÅÅ• [O[OIIII]] 3727 3727 ÅÅ
• A single line is A single line is notnot [S[SIIII]] 6716 6716 ÅÅ or or LyLyαα 1216 1216 ÅÅ
55 / 8 / 8
BRI Evolution with RedshiftBRI Evolution with Redshift• Training set: DEEP2 Training set: DEEP2
galaxies withgalaxies with– Q=3 or Q=4Q=3 or Q=4
– At least one 5At least one 5σσ emission emission lineline
66 / 8 / 8
Neural NetworkNeural Network
Kirby et al. 2007 (submitted)Kirby et al. 2007 (submitted)
77 / 8 / 8
Accuracy and ResultsAccuracy and Results
Kirby et al. 2007 (submitted)Kirby et al. 2007 (submitted)
88 / 8 / 8
ConclusionsConclusions
• A neural network can pin down single A neural network can pin down single emission lines with emission lines with BRIBRI magnitudes magnitudes and colors aloneand colors alone
• The accuracy exceeds 90% in all four The accuracy exceeds 90% in all four line categoriesline categories
• Additional information (angular size, Additional information (angular size, correlation fuction, AEGIS) can help correlation fuction, AEGIS) can help even moreeven more