Prospects for the Lensing of Supernovae

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 3 figures, To appear in "Cosmological Physics with Gravitational Lensing", Kneib J.-P., Mellier Y., Moniez M., Tran T

Scientific paper

Observations of high redshift type Ia supernovae (SNe) will enable us to probe the structure of galaxy halos and the composition of dark matter. The future prospects for this field are briefly discussed here. First the ability of SN observations to differentiate between dark matter made of macroscopic compact objects and dark matter made of microscopic particles is reviewed. Then a new method for probing the structure of galaxy halos and galaxy cluster halos is described. This method utilizes the correlations between foreground galaxy light and supernova brightnesses to substantially decrease possible systematic errors. The technique may be particularly useful for measuring the size of dark matter halos, a measurement to which the galaxy--galaxy lensing is not well suited, and the level of substructure in galaxy halos, a problematic prediction of the cold dark matter model. The required observations of hundreds of SNe at z ~ 1 are already being proposed for the purposes of cosmological parameter estimation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Prospects for the Lensing of Supernovae 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 Prospects for the Lensing of Supernovae, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prospects for the Lensing of Supernovae will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-545727

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.