Peak matching for XENON simulations

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License: BSD License

Author: Joran Angevaare

Requires: Python >=3.6

Classifiers

Project description

PEMA: Peak matching for clustering and classification

Build CodeFactor Coverage Status Documentation Status PyPI version shields.io

PeakMatching

Peak clustering and classification validation using the WFsim

Install

pip install pema

Test installation

python -c "import pema ; print(pema.__version__) ; print('great succes')

0.2.0 / 2021-05-21

  • Increased testing, faster matching (#17)
  • Update notebooks to be more plug and play (#13)
  • Use actions for testing (#15)

0.1.0 / 2021-04-10

  • Restructured code into plugins
  • Arbitrary acceptance to allow for penalty factors
  • Install CI:
    • CodeFactor
    • Coveralls
    • Automated documentation
    • Testing

0.0.1 / 2020-11-25

  • Further prepare the package and prepare for deployment

0.0.0 / 2020-11-23

  • Initial commits

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for joran_angevaare from gravatar.com joran_angevaare Avatar for XENONnT from gravatar.com XENONnT

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License

Author: Joran Angevaare

Requires: Python >=3.6

Classifiers

Release history Release notifications | RSS feed

0.7.0

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.2

0.2.1

This version

0.2.0

0.1.0

0.0.1

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pema-0.2.0.tar.gz (25.2 kB view hashes)

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pema-0.2.0-py3-none-any.whl (29.9 kB view hashes)

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