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Data repository for Akarsh's FUSars paper on cryogenic TGS during ion irradiation

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shortlab/2024-Cu-Cryo-TGS

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CryIoTGS

Data and code repository for Akarsh's FUSars paper on cryogenic TGS during ion irradiation.

Prerequisites

  • Python 3.8 or higher
  • Git (for cloning the repository)

Installation

  1. Clone the repository:

    git clone https://github.com/shortlab/2024-Cu-Cryo-TGS.git
    cd tgs
  2. Run the automated setup script:

    On Unix/MacOS:

    chmod +x setup.sh
    ./setup.sh

    On Windows:

    bash setup.sh

    Note: On Windows, you'll need Git Bash or a similar bash shell. If you don't have one use the manual installation below.

    Manual Installation (Windows/Unix/MacOS):

    python -m venv cryiotgs-venv
    # On Windows:
    cryiotgs-venv\Scripts\activate
    # On Unix/MacOS:
    source cryiotgs-venv/bin/activate
    
    pip install --upgrade pip
    pip install -e .  # or pip install -r requirements.txt

Usage

  1. Activate the virtual environment:

    On Unix/MacOS:

    source cryiotgs-venv/bin/activate

    On Windows:

    cryiotgs-venv\Scripts\activate
  2. Run the codebase:

    python main.py

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Data repository for Akarsh's FUSars paper on cryogenic TGS during ion irradiation

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