AT-TPC Data Analysis with pytpc

This documentation manual provides steps for installation and use of the pytpc package that provides Python modules for reading, analyzing, and fitting data from the Active-Target Time Projection Chamber (AT-TPC) at the NSCL. The documentation is hosted online by ReadTheDocs but steps for offline compilation are listed below.

Contents:

• Preliminary Steps
  • 1) Install Python 3.6+
  • 2) Install Clang and virtualenvwrapper
  • 3) Compile and Install the mcopt Library
  • 4) Create a new Virtual Environment
  • 5) Install the pytpc Package
  • 6) Create a Config File
  • 7) Set Up Energy Loss Data
• Preliminary Steps Without Sudo Privileges
• The Config File
  • Parsing the config file
  • Config patching
  • Sample file
• Merge and Unpack GRAW Files into HDF5 Files
  • Installing and Compiling
  • Usage
• Clean the GET Data with the Hough Transform Code
  • Implementation
  • Usage
• Run the Monte Carlo Fitter on the Tracks
  • Implementation
  • Usage
• Coordinate systems and angles
  • General coordinate system
  • Tilting the detector