Monday, September 20 2021
11:00am - 12:00pm
Computational Mathematics Colloquium
Computational Math Colloquium: Is it possible to discover Dark Matter? Data wrangling and the impact of uncertainty in the search for a hypothetical particle that holds the universe together.

A wealth of cosmological measurements suggest that non-luminous "dark matter" makes up approximately 80% of all matter in the universe. And despite the overwhelming belief that dark matter is a particle, no experiments have seen direct evidence of a particle dark matter. Direct-detection experiments like the Super Cryogenic Dark Matter Search (SuperCDMS) have been searching for direct signals from this hypothesized dark matter particle for decades and our data shows no signal again and again.

Now the community is asking: is it possible to “discover” dark matter? What would a convincing analysis that has a positive signal result look like?

This talk will introduce why obtaining a physics result can be so difficult, introduce some new tools the community is exploring to improve our discovery power, and invite discussion on ways to improve our science reach.

Stop by if you'd like to learn about dark-matter analysis data flow and statistics, constraining unknown backgrounds by stitching together data from multiple experiments, and estimating analysis bias.
Speaker:Amy Roberts
Affiliation:CU Denver Physics
Location:SCB 4017 + zoom

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