Abstract
We describe the construction of MegaZ-LRG, a photometric redshift catalogue of over one
million luminous red galaxies (LRGs) in the redshift range 0.4 < z < 0.7 with limiting magnitude
i < 20. The catalogue is selected from the imaging data of the Sloan Digital Sky Survey
(SDSS) Data Release 4. The 2dF-SDSS LRG and Quasar (2SLAQ) spectroscopic redshift
catalogue of 13 000 intermediate-redshift LRGs provides a photometric redshift training set,
allowing use of ANNz, a neural network-based photometric-redshift estimator. The rms photometric
redshift accuracy obtained for an evaluation set selected from the 2SLAQ sample is
σz = 0.049 averaged over all galaxies, and σz = 0.040 for a brighter subsample (i < 19.0).
The catalogue is expected to contain ∼5 per cent stellar contamination. The ANNz code is
used to compute a refined star/galaxy probability based on a range of photometric parameters;
this allows the contamination fraction to be reduced to 2 per cent with negligible loss of genuine
galaxies. The MegaZ-LRG catalogue is publicly available on the World Wide Web from
http://www.2slaq.info.
| Original language | English |
|---|---|
| Pages (from-to) | 68-76 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | 375 |
| Issue number | 1 |
| Early online date | 11 Feb 2007 |
| DOIs | |
| Publication status | Published - 2007 |
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