A Study of Selection Methods for H alpha Emitting Galaxies at z~1.3 for the Subaru/FMOS Galaxy Redshift Survey for Cosmology (FastSound)
Motonari Tonegawa, Tomonori Totani, Masayuki Akiyama, Gavin Dalton,, Karl Glazebrook, Fumihide Iwamuro, Masanao Sumiyoshi, Naoyuki Tamura, Kiyoto, Yabe, Jean Coupon, Tomotsugu Goto, and Lee R. Spitler

TL;DR
This study evaluates various target selection methods for identifying H alpha emitting galaxies at z~1.3, optimizing for future cosmological redshift surveys by analyzing detection success rates and limiting factors.
Contribution
It compares color-color and photometric redshift selection methods, assessing their efficiency and limitations for selecting high-redshift emission galaxies.
Findings
Photometric redshift selection yields higher success rates than color-based methods.
Adding near-infrared data does not significantly improve selection efficiency.
Photometric redshift and flux estimation inaccuracies limit detection success.
Abstract
The efficient selection of high-redshift emission galaxies is important for future large galaxy redshift surveys for cosmology. Here we describe the target selection methods for the FastSound project, a redshift survey for H alpha emitting galaxies at z=1.2-1.5 using Subaru/FMOS to measure the linear growth rate f\sigma 8 via Redshift Space Distortion (RSD) and constrain the theory of gravity. To select ~400 target galaxies in the 0.2 deg^2 FMOS field-of-view from photometric data of CFHTLS-Wide (u*g'r'i'z'), we test several different methods based on color-color diagrams or photometric redshift estimates from spectral energy distribution (SED) fitting. We also test the improvement in selection efficiency that can be achieved by adding near-infrared data from the UKIDSS DXS (J). The success rates of H alpha detection with FMOS averaged over two observed fields using these methods are…
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