Survey requirements for accurate and precise photometric redshifts for Type Ia supernovae

Yun Wang, Gautham Narayan, Michael Wood-Vasey

Research output: Contribution to journalReview articlepeer-review


In this paper we advance the simple analytic photometric redshift estimator for Type Ia supernovae (SNe Ia) proposed by Wang, and use it to study simulated SN Ia data. We find that better than 0.5 per cent accuracy in zphot {with σ[(zphot - zspec)/(1 + zspec)] < 0.005} is possible for SNe Ia with well-sampled light curves in three observed passbands (riz) with a signal-to-noise ratio of 25 at peak brightness, if the extinction by dust is negligible. The corresponding bias in zphot (the mean of zphot - zspec) is 5.4 × 10 -4. If dust extinction is taken into consideration in the riz observer-frame light curves, the accuracy in zphot deteriorates to 4.4 per cent, with a bias in zphot of 8.0 × 10-3. Adding the g-band light curve improves the accuracy in zphot to 2.5 per cent, and reduces the bias in zphot to - 1.5 × 10 -3. Our results have significant implications for the design of future photometric surveys of SNe Ia from both ground and space telescopes. Accurate and precise photometric redshifts boost the cosmological utility of such surveys.

Original languageEnglish (US)
Pages (from-to)377-381
Number of pages5
JournalMonthly Notices of the Royal Astronomical Society
Issue number1
StatePublished - Nov 2007
Externally publishedYes


  • Distance scale
  • Methods: data analysis
  • Supernovae: general

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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