[2025-01-18] For better promotion of the events, the categories in this system will be adjusted. For details, please refer to the announcement of this system. The link is https://indico-tdli.sjtu.edu.cn/news/1-warm-reminder-on-adjusting-indico-tdli-categories-indico

by Dr Fei Gao(Tsinghua University)

Asia/Shanghai
https://zoom.com.cn/j/68884861344 (id: 68884861344 password: 380728)

https://zoom.com.cn/j/68884861344 (id: 68884861344 password: 380728)

Description

Abstract
XENON1T is to date the most sensitive dark matter search experiment in the world. In this talk, I’ll present a search for Solar B8 neutrinos in XENON1T recently released by the XENON collaboration (arXiv: 2012.02846). We lower the detector energy threshold from 2.6 keV to 1.6 keV, and develop novel techniques to limit low-energy backgrounds. No significant B8 neutrino-like excess is found. This provides an entirely new constraint on the light yield of 1-2 keV nuclear recoils in liquid xenon, and also constrains non-standard model neutrino-quark interactions. We improve world-leading constraints on dark matter-nucleus interactions by as much as an order of magnitude, touching the so called "neutrino-floor" in the direct detection of dark matter. Finally, we discuss how next-generation liquid xenon detectors, such as PandaX-4T, LZ and XENONnT, improve sensitivity to Solar B8 neutrinos and light dark matter.


Biography
Dr. Gao received his PhD from Shanghai Jiao Tong University in 2016. Then he became a postdoc and later an associate research scientist in Columbia University. In 2020, he became an assistant professor in Tsinghua University. Dr. Gao’s main research interest is to develop sensitive liquid xenon detectors to decipher the nature of dark matter and neutrinos. He has been in the XENON collaboration for 10 years and performed a few of the most sensitive searches on dark matter and neutrinos. As a co-author of the XENON collaboration, he has published more than 30 papers in influential journals like Physical Review Letters, Nature and Science with more than 7000 citations according to Google Scholar.