Astronomy and Astrophysics – Astronomy
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21348901p&link_type=abstract
American Astronomical Society, AAS Meeting #213, #489.01; Bulletin of the American Astronomical Society, Vol. 41, p.464
Astronomy and Astrophysics
Astronomy
Scientific paper
Standard Type Ia supernova (SN Ia) photometry light curve fits introduce a convolution of an average ``template'' spectral model, redshifted to observer frame -- a K-correction. Uncertainties in the template, or a mismatch between the template and an observed SN Ia SED introduces errors in the K-correction. Minimizing or eliminating this systematic error is key in the new era of precision SN Ia cosmology.
The Nearby Supernova Factory has collected a dataset of spectrophotometric SN Ia time series, allowing us to recreate rest-frame light curves of each SN, given its host redshift and synthetic filter (and instrument) throughputs. This effectively eliminates the K-correction. The resulting SN Ia light curves produce a smaller dispersion in nearby Hubble diagram residuals when compared to the standard approach. Light curves from synthetic bands centered on particular features or wavelength regions are also investigated, with an emphasis on their utility in photometric subclassification.
Aldering Greg
Antilogus Pierre
Aragon C.
Bailey Stephen
Baltay Charles
No associations
LandOfFree
The Power of Spectrophotometry: K-correction-free Type Ia Supernova Light Curves from the Nearby Supernova Factory does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The Power of Spectrophotometry: K-correction-free Type Ia Supernova Light Curves from the Nearby Supernova Factory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Power of Spectrophotometry: K-correction-free Type Ia Supernova Light Curves from the Nearby Supernova Factory will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1710680