Skip to main content

New LEGEND Monte-Carlo simulation post-processing

Project description

reboost

GitHub tag (latest by date) GitHub Workflow Status pre-commit Code style: black Codecov GitHub issues GitHub pull requests License Read the Docs

reboost is a package to post-process remage simulations. Post processing is the step of applying a detector response model to the (idealised) remage / Geant4 simulations to ''boost" them allowing comparison to data.

reboost provides tools to:

  • apply a HPGe detector response model to the simulations,
  • dedicated tools to generate optical maps,
  • functionality to control the full post-processing chain with configuration files.

For more information see our dedicated documentation!

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

reboost-0.2.7.tar.gz (346.4 kB view details)

Uploaded Source

Built Distribution

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

reboost-0.2.7-py3-none-any.whl (83.2 kB view details)

Uploaded Python 3

File details

Details for the file reboost-0.2.7.tar.gz.

File metadata

  • Download URL: reboost-0.2.7.tar.gz
  • Upload date:
  • Size: 346.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for reboost-0.2.7.tar.gz
Algorithm Hash digest
SHA256 506ee46b551159ac2aaf02c7e0a8c50b097adaaafe3494bd700b162525270daa
MD5 2b9ba80e207e80dd2b8ea1706c14495a
BLAKE2b-256 2d5182462e57b902a60c74c2ee74af4f7a819d8f6cb614342294cba7656bf572

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.2.7.tar.gz:

Publisher: distribution.yml on legend-exp/reboost

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file reboost-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: reboost-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 83.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for reboost-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 24ecd865e76581625ab114cf47fb0b0d6ee4def37ca9f1b06b9e6152c45ba185
MD5 eb88a6048417edf7b9c27a71c0ac0191
BLAKE2b-256 200ff7492019293084d923f80ba6722cdaff6838f2e40d80a8e0b1566ab43e0c

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.2.7-py3-none-any.whl:

Publisher: distribution.yml on legend-exp/reboost

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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