Seminars 李政道研究所-粒子核物理研究所联合演讲

HVeV (SuperCDMS gram-scale eV resolution detector) Run 4 ERDM (electron recoil dark matter) search analysis

by Mr Enze Zhang (University of Toronto)

Asia/Shanghai
5#/6th-603 - Meeting Room 603 (Science Building)

5#/6th-603 - Meeting Room 603

Science Building

20
Description

Abstract:

The SuperCDMS SNOLAB experiment is a next generation dark matter direct search experiment, with the main science goal to improve the sensitivity for dark matter particles with masses smaller than 10 GeV/c2 by at least one order of magnitude. While SuperCDMS SNOLAB is currently still in construction, the collaboration is running prototype detectors in other facilities. SuperCDMS Gram-scale High Voltage and Single-Charge Sensitive (HVeV) Detectors are prototypes of cryogenic detectors made of ultra-pure single crystals of Si, which can achieve very low thresholds in dark matter search by converting the ionization signal to a phonon signal with substantially improved resolution over that obtained with a charge amplifier. Several iterations of HVeV experiments have been conducted at Northwestern Experimental Underground Site (NEXUS), with the first run setting world leading limits on electron recoil dark matter (ERDM) cross-sections in sub-GeV range. HVeV Run 4 is the latest run that further reduced backgrounds by improving the experimental setup. The analysis of HVeV Run 4 experiment is expected to push for stronger limits for dark matter candidates including dark matter electron scattering, dark photon absorption and axion like particles.

 

Biography:

Mr. Enze Zhang earned his Bachelor of Science degree in School of Physics and Astronomy of Shanghai Jiao Tong University in 2018. He got the Master degree a year later in the Department of Physics, University of Toronto in 2019. Since then, he started his PhD study in experimental particle physics in the University of Toronto and now is a senior PhD candidate expected to graduate in 2024.

Host: Prof. Junting Huang

Alternative online link: https://meeting.tencent.com/dm/ISUB6DUmYreu (id: 959260686, password: 123456)