Recent Releases of bihc

BIHC v0.1.0

First official release! 🎉

⚡ Beam-Induced Heating Computation
- Compute the power loss from impedance spectra and beam characteristics.
- Use the built-in CERN accelerator parameters: LHC, SPS, SPS-SFTPRO (new!) & PS
- Accept impedance input from ASCII files, NumPy arrays & XWakes (former PyWIT) models (new!)
- Power loss calculations using both analytical and numerical spectra:
  - Create analytical spectra from Gaussian, binomial, parabolic, q-Gaussian or Cosine squared.
  - Supports bunch-by-bunch profiles and bunch length variation (new!)
🛠️ Filling Schemes
- Built-in templates for LHC, SPS (standard, 8b4e), and SFTPRO (new!).
- Option to define custom or case-specific schemes, including Timber-based retrieval for SWAN/NXCALS use.
- Supports LPC format for historic CERN beam configurations.
- Support for bunch-by-bunch intensity from FBCT measurements using datascout acc-py package
📈 Visualization & Examples
- Rich plotting utilities for:
- Power loss maps - New example combining CST - IDDEFIX and BIHC by @Jishnnn
- Bunch profiles and spectrum comparisons
- Statistical analysis of power loss: rigid shift of impedance spectrum or mode by mode analysis.
- Jupyter notebooks included for:
- SPS/LHC power loss studies for different devices
- Comparison of analytical vs numerical spectrum generation for different bunch shapes.
- Timber-based fill reconstruction and analysis
- Fully documented usage examples available in /examples.

📖 Physics guide included
- Explains power loss computations, spectrum generation, and impedance usage.
🛠️ Installation instructions for SWAN, Miniforge, and local environments.
🧪 Example notebooks for CERN beams: SPS, LHC, SFTPRO.
🧵 Integration with neffint, iddefix, and wakis.

🧊 BIHC is part of the ImpedanCEI ecosystem — a growing suite of open tools for impedance evaluation and beam-coupling studies.

- Python
Published by elenafuengar 10 months ago