Links:
<aside> <img src="/icons/arrow-right-basic_yellow.svg" alt="/icons/arrow-right-basic_yellow.svg" width="40px" /> **Bio from personal website:
I am a particle physicist with a special interest in interdisciplinary research combining physics and deep learning. My work focuses on improving the sensitivity of the ARIANNA detector, a radio based experiment located in Antarctica that is searching for neutrinos. Within this work, I designed, implemented, and lab tested a real-time deep learning filter in the ARIANNA hardware that helped to distinguish neutrinos from thermal noise. I also worked on an offline deep learning data analysis using experimental and simulated data to determine how well experimental background data was rejected. My drive in research is to contribute to the discovery of new physics phenomena and encourage/retain the next generation of physicists.
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Date: 10/10/2023 (TODAY!)
Time: 1:30 PM - 3:00 PM
Location: Interdisciplinary Sciences Building (ISB) 310 and ZOOM! ← (click the link or hover to copy)
Address: 550 Red Hill Rd, Santa Cruz, CA 95064 (← click link)
https://www.google.com/maps/embed?pb=!1m14!1m8!1m3!1d516.5431133227224!2d-122.06042422599401!3d36.9985044945116!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x808e41a0068b1867%3A0xdcb8171d827f2a0a!2sInterdisciplinary Sciences Building!5e0!3m2!1sen!2sus!4v1696911821244!5m2!1sen!2sus
<aside> <img src="/icons/arrow-right-basic_yellow.svg" alt="/icons/arrow-right-basic_yellow.svg" width="40px" />
Abstract
The ARIANNA experiment is an array of low powered radio detectors located in Antarctica. The aim of the detector is to study high-energy astrophysical phenomena with cosmic neutrino messengers. The extremely low flux of these neutrinos makes detector optimization crucial for gathering enough neutrino data. Therefore, the goal of this work was to create a real-time deep learning filter to increase our ability to measure neutrinos without changing the rigid data transmission rate. I will discuss the design, installation, and lab testing of a real-time deep learning filter in the current ARIANNA electronics. This filter increases the sensitivity of the detector by up to a factor of two. In addition, I will discuss an offline deep learning study using experimental and simulated data to determine how well experimental background data can be rejected. In both projects, a deep learning approach is found to give significantly better results compared to more traditional analysis techniques.
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Scientific mission in Antarctica
https://www.youtube.com/watch?embeds_referring_euri=https://www.quantumdiaries.org/&source_ve_path=MTY0NTA2LDE2NDUwMw&feature=emb_share&v=lAAmAbJvvJg&ab_channel=minutephysics
Links
0:38 Sonic Boom for light?