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-0.2.6.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-0.2.6-py3-none-any.whl (83.2 kB view details)

Uploaded Python 3

File details

Details for the file reboost-0.2.6.tar.gz.

File metadata

  • Download URL: reboost-0.2.6.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-0.2.6.tar.gz
Algorithm Hash digest
SHA256 ea32399be8d34f39ebb002f5623e637c6ad9dd1f6144613abcfd25dae765b031
MD5 09eb39455376057ece8505d3f55f3c7e
BLAKE2b-256 cff08db0bd4bf7446a5f492017435a7f74d8925d70c21841a379b2d47d2d533d

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.2.6.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-0.2.6-py3-none-any.whl.

File metadata

  • Download URL: reboost-0.2.6-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-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 3e2f8ac55ed4f708890e1cfd29c5f40a0bfc3fc39bfbc76c1615737058968d22
MD5 89155f5c7000d48e1f083f68c40819b8
BLAKE2b-256 6dd26218430fd42389e045bf95e00ae41e5ea5f7932cd93a5d449d56cea8bb7f

See more details on using hashes here.

Provenance

The following attestation bundles were made for reboost-0.2.6-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