Fuzzy Supernova Templates II: Parameter Estimation
arXiv:1003.5724 · doi:10.1088/0004-637X/715/1/323
Abstract
Wide field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent that they can be characterized by the survey photometry alone. In a companion paper (Rodney and Tonry, 2009) we introduced the SOFT method for analyzing SNe using direct comparison to template light curves, and demonstrated its application for photometric SN classification. In this work we extend the SOFT method to derive estimates of redshift and luminosity distance for Type Ia SNe, using light curves from the SDSS and SNLS surveys as a validation set. Redshifts determined by SOFT using light curves alone are consistent with spectroscopic redshifts, showing a root-mean-square scatter in the residuals of RMS_z=0.051. SOFT can also derive simultaneous redshift and distance estimates, yielding results that are consistent with the currently favored Lambda-CDM cosmological model. When SOFT is given spectroscopic information for SN classification and redshift priors, the RMS scatter in Hubble diagram residuals is 0.18 mags for the SDSS data and 0.28 mags for the SNLS objects. Without access to any spectroscopic information, and even without any redshift priors from host galaxy photometry, SOFT can still measure reliable redshifts and distances, with an increase in the Hubble residuals to 0.37 mags for the combined SDSS and SNLS data set. Using Monte Carlo simulations we predict that SOFT will be able to improve constraints on time-variable dark energy models by a factor of 2-3 with each new generation of large-scale SN surveys.
20 pages, 7 figures, accepted to ApJ; paper 1 is arXiv:0910.3702
References in corpus (14)
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- Baryon Acoustic Oscillations in the Sloan Digital Sky Survey Data Release 7 Galaxy Sample
- The Palomar Transient Factory: System Overview, Performance and First Results
- Observational Constraints on the Nature of the Dark Energy: First Cosmological Results from the ESSENCE Supernova Survey
- Exploring the Optical Transient Sky with the Palomar Transient Factory
- First-year Sloan Digital Sky Survey-II (SDSS-II) Supernova Results: Hubble Diagram and Cosmological Parameters
- The Sloan Digital Sky Survey-II: Photometry and Supernova Ia Light Curves from the 2005 data
- First-Year Sloan Digital Sky Survey-II (SDSS-II) Supernova Results: Constraints on Non-Standard Cosmological Models
- A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
- SNLS Spectroscopy: Testing for Evolution in Type Ia Supernovae
- Luminosity Indicators in the Ultraviolet Spectra of Type Ia Supernovae
- Bayesian Single-Epoch Photometric Classification of Supernovae
- Fuzzy Supernova Templates I: Classification
- Cosmology with Photometric Surveys of Type Ia Supernovae
Cited by in corpus (8)
- Results from the Supernova Photometric Classification Challenge
- Photometric SN Ia Candidates from the Three-Year SDSS-II SN Survey Data
- Cosmology with Photometrically-Classified Type Ia Supernovae from the SDSS-II Supernova Survey
- Selecting superluminous supernovae in faint galaxies from the first year of the Pan-STARRS1 Medium Deep Survey
- SN Refsdal : Photometry and Time Delay Measurements of the First Einstein Cross Supernova
- A Type Ia Supernova at Redshift 1.55 in Hubble Space Telescope Infrared Observations from CANDELS
- Revised Supernova Rates from the IfA Deep Survey
- Host Galaxy Spectra and Consequences for SN Typing From The SDSS SN Survey