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-0.5.0.tar.gz (145.6 kB view details)

Uploaded Source

Built Distribution

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

reboost-0.5.0-py3-none-any.whl (87.1 kB view details)

Uploaded Python 3

File details

Details for the file reboost-0.5.0.tar.gz.

File metadata

  • Download URL: reboost-0.5.0.tar.gz
  • Upload date:
  • Size: 145.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for reboost-0.5.0.tar.gz
Algorithm Hash digest
SHA256 cd6d7949276dd02b05163a88bf8a7805e89f14b7fad2bf20b9ea7333e8bcbffa
MD5 2f919adebf0056a981a3aa07eb700138
BLAKE2b-256 1f40a27e89f3cc23a84ba6740e118aaf941ae58cb395b3ca4e38a7537ce1e32d

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.5.0.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-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: reboost-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 87.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for reboost-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 46952bbf48eb56a757199f52cc990a56d98c1aac8c45d9d4c30fe82ad84e7df6
MD5 5ef081d3d51c87b45c45a1727a99415a
BLAKE2b-256 ba7eb20ec24968ea4d748ac2369f593ac8d0958bc9c31982b27b73eed170ce96

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.5.0-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