課程資訊
課程名稱
粒子天文物理學中的儀器方法
Instrumental Methods in Particle Astrophysics 
開課學期
111-2 
授課對象
理學院  天文物理研究所  
授課教師
南智祐 
課號
Phys5055 
課程識別碼
222EU5040 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
第9,10,11,12,13,14,15,16 週
星期三7,8,9(14:20~17:20)星期五7,8,9(14:20~17:20) 
上課地點
 
備註
本課程以英語授課。密集課程。授課地點:次震宇宙館7W3 此為密集課程:4/19-6/2 (第9週-第16週)
總人數上限:15人 
 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

This course emphasizes the principles of particle detectors and their applications in cosmic ray experiments. It consists of lectures and practices, and the lectures help to understand the working principle of cosmic ray detectors and the practices solidifies the knowledge through making detectors and conducting cosmic experiments.  

課程目標
Introduction of elementry particles
Particle interactions with matter
Particle detectors
Design and production of cosmic muon detector
Cosmic ray experiment
Data analysis 
課程要求
General Physics, Modern Physics, Quantum Mechanics (recommended) 
預期每週課後學習時數
3 hours / week 
Office Hours
另約時間 備註: Office: 7N7 CCLCH Appointment by email 
指定閱讀
Online course materials provided  
參考書目
Malcolm S. Longair, High Energy Astrophysics, Vloume 1
Claus Grupen, Astroparticle Physics
Glenn F. Knoll, Radination Detection and Measurement
Donald A. Neamen, Microelectronics 
評量方式
(僅供參考)
   
針對學生困難提供學生調整方式
 
上課形式
作業繳交方式
團體報告取代個人報告
考試形式
其他
由師生雙方議定
課程進度
週次
日期
單元主題
Week 1
Apr 19  Introduction 
Week 2
Apr 21  Elementray particles and standard model  
Week 3
Apr 26  Interactions with matter (part 1, charged particles) 
Week 4
Apr 28  Interactions with matter (part 2, photos) 
Week 5
May 3  Particle detectors 
Week 6
May 5  Cosmic ray experiments (part 1) 
Week 7
May 10  Cosmic ray experiments (part 2) 
Week 8
May 12  Mid-term 
Week 9
May 17  Muon detector (high voltage and analog signals) 
Week 10
May 19  Muon detector (digital signals) 
Week 11
May 24  Muon detector (trigger and counter) 
Week 12
May 26  Detector integration 
Week 13
May 31  Cosmic ray measurements 
Week 14
June 2  Data aquisition with mirco-conroller 
Week 15
June 7  Advanced data aquisition technique 
Week 16
June 9  Course summary