| Speaker: | Graciela Gelmini (UCLA) |
|---|---|
| Title: | Halo independent direct dark matter detection data analysis from convex hulls |
| Date (JST): | Fri, Nov 15, 2019, 13:30 - 14:30 |
| Place: | Seminar Room A |
| Related File: | 2387.pdf |
| Abstract: | Non-directional direct detection (DD) experiments attempt to detect dark matter (DM) particles through the energy they deposit in collisions with nuclei within a detector. I will show how DD data can be translated into predictions of the DM local velocity distribution, allowing to compare different DD data sets through these predictions (in a “halo-independent” analysis complementary to the usual ``halo-dependent" method, which requires assuming a model for DM halo). I will explain how the halo independent method is put on firm mathematical grounds by using the Fenchel-Eggleston theorem for convex hulls (an extension of the Caratheodory theorem). The seminar will not assume any previous knowledge of convex geometry in the audience. |
