Other
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21343806f&link_type=abstract
American Astronomical Society, AAS Meeting #213, #438.06; Bulletin of the American Astronomical Society, Vol. 41, p.311
Other
1
Scientific paper
We attempt to disentangle the relationship between intrinsic color variation and extinction by dust in Type Ia supernovae (SNe Ia) using the largest broadband set of SNe Ia light curves to date. Our sample of 50 low-redshift light curves includes Near-Infrared (NIR) data from the PAIRITEL 1.3m, Optical data from the FLWO 1.2m, and Ultraviolet data from Swift, along with other Optical and NIR data from the literature. Extincion by dust is currently the dominant systematic error in SNe Ia cosmology. Adding NIR data significantly reduces systematic distance errors derived from Optical data alone. Since SNe Ia are also intrinsically more standard at NIR wavelengths than Optical wavelengths, this work motivates future Infrared space studies optimized for high redshift SNe Ia cosmology (e.g. Spitzer, JWST, JDEM). Infrared observations will thus be crucial to optimally constraining the history of cosmic expansion. This work is supported in part by a NASA GSRP Fellowship.
Bloom Jonathan
CfA Supernova Group
Challis Peter
Friedman Andrew Samuel
Hicken Malcolm
No associations
LandOfFree
Disentangling Intrinsic Color Variation and Dust Extinction of Type Ia Supernovae With Near-Infrared, Optical, and Ultraviolet Photometry 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 Disentangling Intrinsic Color Variation and Dust Extinction of Type Ia Supernovae With Near-Infrared, Optical, and Ultraviolet Photometry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Disentangling Intrinsic Color Variation and Dust Extinction of Type Ia Supernovae With Near-Infrared, Optical, and Ultraviolet Photometry will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1703254