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Added profile Co-authored-by: Allan Sung <allansung@dynamic-oit-vapornet100-10-9-77-99.princeton.edu>
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--- | ||
layout: codas-hep-participant | ||
e-mail: as111@princeton.edu | ||
institution: Princeton University | ||
name: Allan Sung | ||
photo: "/assets/images/codas-hep/2023/allan_sung.jpg" | ||
github-username: allan-ylsung | ||
linkedin-profile: https://www.linkedin.com/in/ya-lun-allan-sung/ | ||
orcid: https://orcid.org/0000-0002-4000-3172 | ||
title: Graduate Student | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/Princeton_logo.png | ||
- /assets/images/codas-hep/logos/darkside_logo.png | ||
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## My research: | ||
Dark matter direct detection with a dual-phase argon time projection chamber (TPC) in the DarkSide experiment. | ||
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## My expertise is: | ||
Data analysis and instrumentation. | ||
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## A problem I'm grappling with: | ||
The optimal deconvolution and pulse-finding algorithms for photoelectron signals in digitized waveforms. | ||
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## I've got my eyes on: | ||
Applying machine learning techniques to event reconstruction and classification for dual-phase TPCs. | ||
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## I want to know more about: | ||
Machine learning techniques and their applications. Better coding practices. |
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