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Photometric Redshifts: Some Considerations for the CTIO Dark Energy Camera Survey

Photometric Redshifts: Some Considerations for the CTIO Dark Energy Camera Survey. Huan Lin Experimental Astrophysics Group Fermilab. Outline. Photometric Redshifts for Red (Cluster) Galaxies Illustration using the SDSS luminous red galaxy (LRG) sample

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Photometric Redshifts: Some Considerations for the CTIO Dark Energy Camera Survey

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  1. Photometric Redshifts: Some Considerations for the CTIO Dark Energy Camera Survey Huan Lin Experimental Astrophysics Group Fermilab

  2. Outline • Photometric Redshifts for Red (Cluster) Galaxies • Illustration using the SDSS luminous red galaxy (LRG) sample • Monte Carlo simulations based on model spectral energy distributions (SEDs) • Photometric Redshifts for the General Galaxy Population • Illustrative example from CFH12K imaging of a CNOC2 redshift survey field My focus is on effects of photometric errors on photo-z measurement

  3. A sample of SDSS luminous red galaxies (LRGs)

  4. photo-z offset per 0.1 mag color offset redshift

  5. Red Galaxy Monte Carlo Simulations • Model SEDs • Non-evolving CWW elliptical; normalized to apparent magnitude z=23 at redshift=1 • Evolving Pegase-2 model from Jim Annis; a 0.5 L* galaxy for redshifts 0-1 • Flat, ΩΛ= 0.7 cosmology • Photometric Errors • Filter g r i z • Exposure 900 900 1700 900 sec • 10σ mag 25.0 24.5 24.3 23.3 • Simply scale S/N assuming constant noise from sky background, plus a calibration error floor of 3%

  6. color redshift

  7. Results of template and polynomial photo-z fits photometric redshift error σ(z) ~ 0.03

  8. Photo-z bias from using the wrong template bias is about the same as the statistical uncertainty σ(z) ~ 0.03

  9. Photo-z bias from 0.03 mag offset in given filter bias looks negligible

  10. Photo-z bias from 0.1 mag offset in given filter bias is about the same as the statistical uncertainty σ(z) ~ 0.03

  11. CFH12K/CNOC2 BVRI Photometric Redshifts • CFH12K Images (CNOC2 0223B4 field) • 3.6m CFHT • Exposure times comparable: B 1320s, V 900s, R 900s, I 900s • But seeing is better than typical CTIO: 0.5-0.9 arcsec • Not shown today, but z-band data, plus other fields, are also available for photo-z tests • CNOC2 Redshift Survey • General field galaxy population • Caveat: calibrators mainly limited to z < 0.7 and R < 22

  12. BVRI photo-z results: CNOC2 0223B4 field from CFH12K photometric redshift error σ(z) ~ 0.05

  13. Photo-z bias from 0.03 mag offset in given filter bias relative to original solution looks negligible

  14. Photo-z bias from 0.1 mag offset in given filter bias relative to original solution is about the same as the statistical uncertainty σ(z) ~ 0.05

  15. Conclusions and Outlook • Simple Monte Carlo simulations indicate photo-z error σ(z) ~ 0.03 for red (cluster) galaxies, but with some redshift dependence and some degeneracy at z > 0.8 • Should acquire spectroscopic cluster calibration sample to accurately determine cluster red galaxy SED • General field galaxy sample from example CFH12K/CNOC2 field indicates σ(z) ~ 0.05, but with color/magnitude dependence, and redshift-dependent systematics • Will also need to test using real/simulated galaxies at both fainter magnitudes and higher redshifts

  16. Conclusions and Outlook (cont’d) • Photometric calibration errors of 0.03 mag introduce negligible bias, while errors of 0.1 mag introduce biases comparable to photo-z statistical error σ(z) • Work is in progress on improving photo-z fits and reducing systematics, using CFH12K/CNOC2 and SDSS samples • Not yet addressed question of how many calibrators are needed to sufficiently characterize photo-z error distributions for cluster counts, weak lensing, etc.

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