Skip to main content

simtools

LICENSE release DOI pypyi

simtools is a modular toolkit for managing simulation model parameters, configuring, running, and validating simulation productions for arrays of imaging atmospheric Cherenkov telescopes.

Documentation: simtools documentation

simtools is part of the SimPipe pipeline of the Cherenkov Telescope Array Observatory (CTAO).

Authors: see the CITATION.cff file. Contributors: see the Contributors page.

Note simtools is under active development. Contact the developers before using it: simtools-developer@desy.de

Features

  • Simulation model libraries and management
  • Interfaces for reading simulation model parameters from the CTAO Simulation Models repository
  • Tools for preparing, configuring, running, and validating simulation productions
  • Applications for deriving and validating model parameters (see CTAO Model setting and validation workflows)
  • Standardized interfaces and outputs independent of the simulation software (e.g., CORSIKA air shower simulations and sim_telarray telescope simulations)
  • I/O and reporting tools for simulation models and production data

Quick Start

For users:

pip install gammasimtools

Copy .env_template to .env and update the file to set up your environment.

For developers:

git clone https://github.com/gammasim/simtools.git
cd simtools
python -m venv .venv
source .venv/bin/activate
# rehash (to avoid shell mixup in certain envs)
pip install -e '.[tests,dev,doc]'

Citing this Software

Please cite this software if it is used for a publication, see the Zenodo record and CITATION.cff.

Software Quality

CI CI-integrationtest CI-docs

Coverage Quality Gate Status

Generative AI disclosure

Generative AI tools (including, but not limited to, Claude, ChatGPT, and Gemini) were used to assist with code development, debugging, and documentation drafting. All AI-assisted outputs were reviewed, validated, and, where necessary, modified by the authors to ensure accuracy and reliability.

Acknowledgements

This project has been supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - project number 460248186 (PUNCH4NFDI https://www.punch4nfdi.de/).

Metadata

Release files for gammasimtools 0.38.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gammasimtools 0.38.3
File Size Uploaded
gammasimtools-0.38.3.tar.gz 3.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gammasimtools 0.38.3
File Interpreter ABI Platform
gammasimtools-0.38.3-py3-none-any.whl Python 3 none any Details

Total release size: 4.8 MB

Release files / gammasimtools-0.38.3.tar.gz

Download URL gammasimtools-0.38.3.tar.gz
Size 3.8 MB
Tags Source
SHA-256 checksum
How to use checksums
642b38e67d72c6cff80482d3c59678ac3d3c38aa3c60def0b429bc2ec07fa71a
BLAKE2b-256 checksum
How to use checksums
5681a6b467ad2ee81b33487608f121197919979dbee2dee33608974b95a53b5b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Release files / gammasimtools-0.38.3-py3-none-any.whl

Download URL gammasimtools-0.38.3-py3-none-any.whl
Size 978.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7adc7e65c2c240eade19beff3af9dc820f4f53bfe716e05c1c41d2c589245bbb
BLAKE2b-256 checksum
How to use checksums
0b70cf3bb3db4395aa09338e865b5f383fd226f1d33aa2ae8373f9458c0d93e7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page