التفاصيل البيبلوغرافية
العنوان: |
Physics-Informed Neural Networks for Belle II Kaon Versus Pion Particle Identification |
المؤلفون: |
Glaser, Yannik |
المساهمون: |
Sadowski, Peter, Computer Science |
بيانات النشر: |
University of Hawai'i at Manoa |
سنة النشر: |
2020 |
المجموعة: |
ScholarSpace at University of Hawaii at Manoa |
مصطلحات موضوعية: |
Artificial intelligence, Particle physics, Computer science, belle II, deep learning, high-energy physics, machine learning, neural networks, particle identification |
الوصف: |
M.S. |
نوع الوثيقة: |
thesis |
وصف الملف: |
application/pdf |
اللغة: |
English |
العلاقة: |
http://hdl.handle.net/10125/70358Test |
الإتاحة: |
http://hdl.handle.net/10125/70358Test |
حقوق: |
All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. |
رقم الانضمام: |
edsbas.B42C4467 |
قاعدة البيانات: |
BASE |