# topasbatch

**Repository Path**: graviton/topasbatch

## Basic Information

- **Project Name**: topasbatch
- **Description**: TOPAS batch files
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-22
- **Last Updated**: 2025-10-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# readme.md

I've successfully created Python versions of all the bash scripts you requested. Here's a summary of what was implemented:

Created Python Scripts:

1. `run_modify.py` - Batch modifies the NumberOfHistoriesInRun parameter in carbon.txt files across dedx_m1 to dedx_m25 directories (with automatic backup)
2. `run_clear.py` - Deletes all `nohup.out` files in the current directory and subdirectories (with quiet mode option -q)
3. `dedx_m23/run_rspw.py` - Runs TOPAS simulations for restricted stopping power with carbon ion beam energy from 1 MeV to 5400 MeV
4. `dedx_m23/run_ionization.py` - Runs TOPAS simulations for ionization with carbon ion beam energy from 1 MeV to 5400 MeV
5. `dedx_m23/run.py` - Runs both simulations (restricted stopping power and ionization) in parallel using threading
6. `run_batch.py` - Processes directories dedx_m2 to dedx_m24 by copying the Python scripts from dedx_m23 and running the simulations

Key Features:

- Cross-platform compatibility: All scripts work on Windows (your OS) as well as Linux/macOS
- Error handling: Comprehensive error checking and user-friendly error messages
- Progress tracking: Shows progress during long-running simulations
- File safety: Automatic backups for modification scripts, proper cleanup of temporary files
- Parallel execution: The main run script executes both simulations simultaneously for better performance
- Command-line arguments: The clear script supports -q/--quiet and -h/--help options

All scripts maintain the same functionality as their bash counterparts while being more robust and portable across different operating systems.