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-0.5.3.tar.gz (145.7 kB view details)

Uploaded Source

Built Distribution

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

reboost-0.5.3-py3-none-any.whl (87.1 kB view details)

Uploaded Python 3

File details

Details for the file reboost-0.5.3.tar.gz.

File metadata

  • Download URL: reboost-0.5.3.tar.gz
  • Upload date:
  • Size: 145.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for reboost-0.5.3.tar.gz
Algorithm Hash digest
SHA256 8b15088026aeca177879c20d1c2f1f195599db998a6e56892c0cff4ff216bb80
MD5 3e177112463452e574be2ad15bba38c3
BLAKE2b-256 280b46f0f486e74a916e3f5ef9edc7fc01ba954afdaf2c5ae0cdf47ec9d54a16

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.5.3.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-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: reboost-0.5.3-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-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ea8677a80d4627b056675282f056e63d7b84321c742076d23e11473a6d0354db
MD5 487dd7563f95ea3992b69df14c98ea04
BLAKE2b-256 b15fff57ccc7a40a28f712a04e969a691f485f7586e8681670e9e284176d01f5

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.5.3-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