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Perlmutter

Piecing Together Current Supernova Constraints on Dark Energy
Saul Perlmutter (Lawrence Berkeley Laboratory)

As the recent generations of supernova measurements advance towards tighter statistical and systematic constraints on dark energy, we need to perform careful cross-comparison and cross-calibration of subsets of Type Ia supernovae. These subsets are drawn from, e.g., different search campaigns, different redshift ranges, and different host galaxy environments. These comparisons help quantify systematic uncertainties and help identify the most important supernova data still needed to improve the constraints.

I will present advances in the current dark energy constraints that result from these supernova studies, as well as some new supernova data sets from ground and space that start to fill in the missing pieces of the analysis puzzle.



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