pema 0.3.5

Peak matching for XENON simulations

PEMA: Peak matching for clustering and classification

PeakMatching

Peak clustering and classification validation using the WFsim

Installation

To install pema, one can easily get the latest version via Pipy. For increased usability one needs some XENONnT credentials, see this page.

pip install pema

Test installation

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

0.3.5 / 2021-12-10

• Fix bias to #112 (#122)

0.3.4 / 2021-12-10

• Fix bias plots (#112)
• Bump WFSim (#121)
• Pin pymongo (#116)

0.3.3 / 2021-11-08

• Add rr matrix (#96, #101)

0.3.2 / 2021-11-08

• Several tweaks to v0.3.1 (ec3f2821eab059c812db9fec2e723da6c5cbfc8e, 9d5bae41b91855041dc61717594da70cae5e8292, 437677c301003f4e9812420603390b8b3b93f27b, 437677c301003f4e9812420603390b8b3b93f27b)

0.3.1 / 2021-11-03

• use overlap window for matching, include events (#86)

0.3.0 / 2021-10-24

• New wfsim inst (#67)
• Increase the coverage (#65, #66)
• Make compatible with strax(en) -1.0.0rc (#44)

0.2.2 / 2021-08-10

• Fix master for strax, straxen, wfsim == 0.16.1, 0.19.3, 0.5.6 (#23)
• Fix docs requirements (#34, #32)
• Create codeql-analysis.yml (#35)
• Fix saving as SVG (#21)
• Register from module (#22)
• Less pinned requirements (#32)

0.2.1 / 2021-60-17

• Allow plot dump to pickle (#20)
• minor commits

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