2016
DOI: 10.1051/0004-6361/201527081
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Modelling the number density of Hαemitters for future spectroscopic near-IR space missions

Abstract: Context. The future space missions Euclid and WFIRST-AFTA will use the Hα emission line to measure the redshifts of tens of millions of galaxies. The Hα luminosity function at z > 0.7 is one of the major sources of uncertainty in forecasting cosmological constraints from these missions. Aims. We construct unified empirical models of the Hα luminosity function spanning the range of redshifts and line luminosities relevant to the redshift surveys proposed with Euclid and WFIRST-AFTA. Methods. By fitting to obser… Show more

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Cited by 100 publications
(171 citation statements)
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“…In both instances we assume a redshift limit of 0.9 z 1.8, however in the first instance we assume a flux limit of 3 × 10 −16 erg s −1 cm −2 and in the second instance we assume a deeper a flux limit of 2 × 10 −16 erg s −1 cm −2 . These instances are consistent with two of the Euclid-like strategies presented in Pozzetti et al (2016). For a WFIRST-like design we consider a redshift range of 1 z 2 and a flux limit of 1 × 10 −16 erg s −1 cm −2 .…”
Section: Survey Forecastssupporting
confidence: 79%
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“…In both instances we assume a redshift limit of 0.9 z 1.8, however in the first instance we assume a flux limit of 3 × 10 −16 erg s −1 cm −2 and in the second instance we assume a deeper a flux limit of 2 × 10 −16 erg s −1 cm −2 . These instances are consistent with two of the Euclid-like strategies presented in Pozzetti et al (2016). For a WFIRST-like design we consider a redshift range of 1 z 2 and a flux limit of 1 × 10 −16 erg s −1 cm −2 .…”
Section: Survey Forecastssupporting
confidence: 79%
“…At bright fluxes of 1 × 10 −15 erg s −1 cm −2 , the Ferrara et al (1999) method yields counts that are approximately a factor of 2 higher than the WISP counts. Lightcone catalogues built from other semianalytical models have previously under-predicted the number of galaxies and been unable to match the Mehta et al (2015) observations (we refer the reader to the discussion in Pozzetti et al 2016). One possible reason that GALACTICUS is able to reproduce the Mehta et al (2015) counts could be the use of CLOUDY, which has not been previously coupled to other semi-analytical models.…”
Section: Chi-squared Minimisationmentioning
confidence: 99%
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