Measuring Dark Energy With Photometrically Classified Pan-STARRS Supernova: Bayesian Estimation Applied to Multiple Species Algorithm
This an implementation of the Bayesian Estimation Applied to Multiple Species (BEAMS) algorithm (Kunz, Bassett & Hlozek 2007). It simultaneously determines distances from Type Ia supernovae in a sample with a mixture of both Type Ia and core-collapse supernovae. An explanation of the methodology behind this software and results generated using this software are published in:
Measuring Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Methods
D. O. Jones, D. M. Scolnic, A. G. Riess, R. Kessler, A. Rest, R. P. Kirshner, E. Berger, C. A. Ortega, R. J. Foley, R. Chornock, P. J. Challis, W. S. Burgett, K. C. Chambers, P. W. Draper, H. Flewelling, M. E. Huber,N. Kaiser, R.-P. Kudritzki, N. Metcalfe, R. J. Wainscoat, C. Waters
Recent updates can be found at https://github.com/djones1040/BEAMS.