Your Friendly Neighborhood Data Wrangler
Prof. Amy Roberts
University of Colorado Denver
I will be visiting for the next seven months and this talk will be an overview of my current projects - stop by and see if you’d like to collaborate! Topics will include the upcoming generation of dark matter detectors, data analysis, efforts to improve entry into software best-practices for physicists, and efforts to make research computing more accessible and integrated across the physics curriculum. This presentation is most likely to be of interest to people who are thinking about how to improve their data analysis or software skills within their lab, as well as people who would like to understand more details of the upcoming dark matter search experiments.
The SuperCDMS experiment aims to detect dark matter in cryogenic, ordinary-matter detectors. While the gravitational evidence for “dark matter” is immense, a dark matter particle has never been conclusively detected. As the new detectors prepare to turn on, the community faces new analysis challenges: many experiments are exploring low-energy interactions (eV to keV) and our understanding of the backgrounds at all energies is still evolving. What does dark matter “discovery” look like in this landscape? In this talk we will discuss potential solutions to upcoming analysis challenges, including my efforts to build infrastructure that allows data analysis across experiments.
Hosted by Prof. Kolata
Presented both in-person and via zoom. Please email nsladmin@nd.edu for zoom link.