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Photometric Supernova Cosmology with BEAMS and SDSS-II
Renée Hlozek, Martin Kunz, Bruce Bassett +16
Supernova cosmology without spectroscopic confirmation is an exciting new frontier which we address here with the Bayesian Estimation Applied to Multiple Species (BEAMS) algorithm…
Parameter Estimation with BEAMS in the presence of biases and correlations
James Newling, Bruce. A. Bassett, Renée Hlozek +3
The original formulation of BEAMS - Bayesian Estimation Applied to Multiple Species - showed how to use a dataset contaminated by points of multiple underlying types to perform unb…
The SDSS-II Supernova Survey: Parameterizing the Type Ia Supernova Rate as a Function of Host Galaxy Properties
Mathew Smith, Robert C Nichol, Benjamin Dilday +11
Using data from the Sloan Digital Sky Supernova Survey-II, we measure the rate of Type Ia Supernovae (SNe Ia) as a function of galaxy properties at intermediate redshift. A sample…
Improved Constraints on Type Ia Supernova Host Galaxy Properties using Multi-Wavelength Photometry and their Correlations with Supernova Properties
Ravi R. Gupta, Chris B. D'Andrea, Masao Sako +11
We improve estimates of stellar mass and mass-weighted average age of Type Ia supernova (SN Ia) host galaxies by combining UV and near-IR photometry with optical photometry in our…
Photometric SN Ia Candidates from the Three-Year SDSS-II SN Survey Data
Masao Sako, Bruce Bassett, Brian Connolly +12
We analyze the three-year SDSS-II Superernova (SN) Survey data and identify a sample of 1070 photometric SN Ia candidates based on their multi-band light curve data. This sample co…