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Predicting the Redshift 2 H-Alpha Luminosity Function Using [OIII] Emission Line GalaxiesUpcoming space-based surveys such as Euclid and WFIRST-AFTA plan to measure Baryonic Acoustic Oscillations (BAOs) in order to study dark energy. These surveys will use IR slitless grism spectroscopy to measure redshifts of a large number of galaxies over a significant redshift range. In this paper, we use the WFC3 Infrared Spectroscopic Parallel Survey (WISP) to estimate the expected number of H-alpha emitters observable by these future surveys. WISP is an ongoing Hubble Space Telescope slitless spectroscopic survey, covering the 0.8 - 1.65 micrometers wavelength range and allowing the detection of H-alpha emitters up to z approximately equal to 1.5 and [OIII] emitters to z approximately equal to 2.3. We derive the H-alpha-[OIII] bivariate line luminosity function for WISP galaxies at z approximately equal to 1 using a maximum likelihood estimator that properly accounts for uncertainties in line luminosity measurement, and demonstrate how it can be used to derive the H-alpha luminosity function from exclusively fitting [OIII] data. Using the z approximately equal to 2 [OIII] line luminosity function, and assuming that the relation between H-alpha and [OIII] luminosity does not change significantly over the redshift range, we predict the H-alpha number counts at z approximately equal to 2 - the upper end of the redshift range of interest for the future surveys. For the redshift range 0.7 less than z less than 2, we expect approximately 3000 galaxies per sq deg for a flux limit of 3 x 10(exp −16) ergs per sec per sq cm (the proposed depth of Euclid galaxy redshift survey) and approximately 20,000 galaxies per sq deg for a flux limit of approximately 10(exp −16) ergs per sec per sq cm (the baseline depth of WFIRST galaxy redshift survey).
Document ID
20150020834
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Mehta, Vihang
(Minnesota Univ. Minneapolis, MN, United States)
Scarlata, Claudia
(Minnesota Univ. Minneapolis, MN, United States)
Colbert, James W.
(California Inst. of Tech. Pasadena, CA, United States)
Dai, Y. S.
(California Inst. of Tech. Pasadena, CA, United States)
Dressler, Alan
(Carnegie Institution for Science Pasadena, CA, United States)
Henry, Alaina
(Universities Space Research Association Greenbelt, MD, United States)
Malkan, Matt
(California Univ. Los Angeles, CA, United States)
Rafelski, Marc
(Oak Ridge Associated Universities Greenbelt, MD, United States)
Siana, Brian
(California Univ. Riverside, CA, United States)
Teplitz, Harry I.
(California Inst. of Tech. Pasadena, CA, United States)
Bagley, Micaela
(Minnesota Univ. Minneapolis, MN, United States)
Beck, Melanie
(Minnesota Univ. Minneapolis, MN, United States)
Ross, Nathaniel R.
(California Univ. Los Angeles, CA, United States)
Rutkowski, Michael
(Minnesota Univ. Minneapolis, MN, United States)
Wang, Yun
(California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
November 4, 2015
Publication Date
August 28, 2015
Publication Information
Publisher: The Astrophysical Journal
Subject Category
Astrophysics
Astronomy
Statistics And Probability
Report/Patent Number
GSFC-E-DAA-TN26511
Report Number: GSFC-E-DAA-TN26511
Funding Number(s)
CONTRACT_GRANT: NNH06CC03B
CONTRACT_GRANT: NNG06EO90A
CONTRACT_GRANT: NAS5-26555
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Redshift
Predicting
Luminosity
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