Skip to main content

Simulation helper for basf2.

Project description

Helpers for submitting simulation jobs using basf2 and IBM Spectrum LSF.

Install using:

pip install b2-run-sim

Simulations are run over multiple model parameters. Output data is organized and includes simulation metadata.

Steering files need to take the following command line arguments:

simulation_steering_file.py <decay file path> <output file path> <number of events>
reconstruction_steering_file.py <simulated events file path> <output file path>

Decay file should be specified as a template. i.e. put {parameter_name} in place of parameter values.

See examples for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

b2_run_sim-0.0.3.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

b2_run_sim-0.0.3-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file b2_run_sim-0.0.3.tar.gz.

File metadata

  • Download URL: b2_run_sim-0.0.3.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for b2_run_sim-0.0.3.tar.gz
Algorithm Hash digest
SHA256 79e83f9ce4e24adc22c51c4bac9c6b4664c12e7c61644c9e0ba5b5257f02aa3d
MD5 dd3c63a0eff341e334c293b52e6f0a54
BLAKE2b-256 2c856b42f056c7ae6c28073e2c47ec9567bf45b2a1d9f8a235600a9920f30cd3

See more details on using hashes here.

File details

Details for the file b2_run_sim-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: b2_run_sim-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for b2_run_sim-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1f00f7171e0123726a4ba870f6ace99cedc6f18000a59b1ad6b8a582b4c49231
MD5 7997f57b786fd6966e920e2a9a2c3e35
BLAKE2b-256 4adf90189f935b9c316332c2e65d30cba233bb77ace9ee45bfaff30096d58b74

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page