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pyhs3 0.4.2.dev3+g0564d33f3 documentation
pyhs3 0.4.2.dev3+g0564d33f3 documentation
  • PyHS3 Structure and Components
  • Working with Workspaces
  • Understanding and Exploring Models
  • Broadcasting with Vector Parameters
  • Defining Custom Functions and Distributions
  • Python API
    • pyhs3.Workspace
    • pyhs3.Model
    • pyhs3.distributions
    • pyhs3.functions
    • pyhs3.domains
    • pyhs3.parameter_points
    • pyhs3.data
    • pyhs3.likelihoods
    • pyhs3.analyses
    • pyhs3.generic_parse
    • pyhs3.exceptions
    • pyhs3.base.Evaluable
    • pyhs3.functions.Functions
    • pyhs3.functions.Function
    • pyhs3.functions.ProductFunction
    • pyhs3.functions.SumFunction
    • pyhs3.functions.GenericFunction
    • pyhs3.functions.InterpolationFunction
    • pyhs3.functions.ProcessNormalizationFunction
    • pyhs3.distributions.Distributions
    • pyhs3.distributions.Distribution
    • pyhs3.distributions.GaussianDist
    • pyhs3.distributions.UniformDist
    • pyhs3.distributions.PoissonDist
    • pyhs3.distributions.ExponentialDist
    • pyhs3.distributions.LogNormalDist
    • pyhs3.distributions.LandauDist
    • pyhs3.distributions.MixtureDist
    • pyhs3.distributions.ProductDist
    • pyhs3.distributions.HistogramDist
    • pyhs3.distributions.GenericDist
    • pyhs3.distributions.PolynomialDist
    • pyhs3.distributions.BernsteinPolyDist
    • pyhs3.distributions.CrystalBallDist
    • pyhs3.distributions.AsymmetricCrystalBallDist
    • pyhs3.distributions.ArgusDist
    • pyhs3.distributions.HistFactoryDistChannel
    • pyhs3.distributions.FastVerticalInterpHistPdf2Dist
    • pyhs3.distributions.GGZZBackgroundDist
    • pyhs3.distributions.QQZZBackgroundDist
    • pyhs3.distributions.FastVerticalInterpHistPdf2D2Dist
    • pyhs3.domains.Domains
    • pyhs3.domains.Domain
    • pyhs3.domains.ProductDomain
    • pyhs3.domains.Axis
    • pyhs3.parameter_points.ParameterPoints
    • pyhs3.parameter_points.ParameterSet
    • pyhs3.parameter_points.ParameterPoint
    • pyhs3.data.Data
    • pyhs3.data.Datum
    • pyhs3.data.PointData
    • pyhs3.data.UnbinnedData
    • pyhs3.data.BinnedData
    • pyhs3.data.Axis
    • pyhs3.data.GaussianUncertainty
    • pyhs3.generic_parse.parse_expression
    • pyhs3.generic_parse.sympy_to_pytensor
    • pyhs3.generic_parse.analyze_sympy_expr
    • pyhs3.likelihoods.Likelihoods
    • pyhs3.likelihoods.Likelihood
    • pyhs3.analyses.Analyses
    • pyhs3.analyses.Analysis
    • pyhs3.exceptions.HS3Exception
    • pyhs3.exceptions.ExpressionParseError
    • pyhs3.exceptions.ExpressionEvaluationError

Academics

  • Funding Acknowledgements
  • Abstracts
    • Efficient Statistical Modeling for Particle Physics Using Computational Graphs in Python
    • Graph Me If You Can: Modern Python Meets HEP Statistical Models
  • Talks and Presentations

Contributing

  • Contributing to pyhs3
  • Development Workflow
  • Testing Guide
  • Architecture Overview
  • Contributor Covenant 3.0 Code of Conduct
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AbstractsΒΆ

Here you can find all abstracts and the events they were used for.

  • Efficient Statistical Modeling for Particle Physics Using Computational Graphs in Python
  • Graph Me If You Can: Modern Python Meets HEP Statistical Models
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Efficient Statistical Modeling for Particle Physics Using Computational Graphs in Python
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Funding Acknowledgements
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