Statistical analysis to explore the evolution of the universe

January 3, 2011

Cosmology research by AMS/ISSDM graduate student Tracy Holsclaw featured in a journal article on PhysOrg.com

Tracy Holsclaw, a graduate student of Statistics and Applied Mathematics has been working on a project with scientists from Los Alamos National Laboratory to investigate the nature of dark energy. Her work for the last three years has been sponsored by the Institute for Scalable Scientific Data Management.

Her recently published paper: Tracy Holsclaw, Ujjaini Alam, Bruno Sansó, Herbert Lee, Katrin Heitmann, Salman Halbib, and David Higdon (2010) "Nonparametric Dark Energy Reconstruction from Supernova Data", published in the journal  Physical Review Letters attracted the attention of Miranda Marquit. She is a journalist for PhysOrg.com, who featured Tracy's results in the article  "Statistical modeling could help us understand cosmic acceleration". Tracy's work is a brilliant example of the type of high profile, interdisciplinary, and inter-institutional research conducted at the JBSOE.