photometric redshifts: some considerations for the ctio dark energy camera survey

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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 - PowerPoint PPT Presentation

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Photometric Redshifts: Some Considerations

for the CTIO Dark Energy Camera Survey

Huan Lin

Experimental Astrophysics Group

Fermilab

● 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

Outline

My focus is on effects of photometric errors on photo-z measurement

A sample of SDSS luminous red galaxies (LRGs)

photo-z offset per 0.1 mag color offset

redshift

● 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%

Red Galaxy Monte Carlo Simulations

color

redshift

Results of template and polynomial photo-z fits

photometric redshift error σ(z) ~ 0.03

Photo-z bias from using the wrong template

bias is about the same as the statistical uncertainty σ(z) ~ 0.03

Photo-z bias from 0.03 mag offset in given filter

bias looks negligible

Photo-z bias from 0.1 mag offset in given filter

bias is about the same as the statistical uncertainty σ(z) ~ 0.03

● 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

CFH12K/CNOC2 BVRI Photometric Redshifts

BVRI photo-z results: CNOC2 0223B4 field from CFH12K

photometric redshift error σ(z) ~ 0.05

Photo-z bias from 0.03 mag offset in given filter

bias relative to original solution looks negligible

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

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

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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