Introduction to Pyhep 2020 Physics Analysis As A Differentiable Program

If you are looking for information about Pyhep 2020 Physics Analysis As A Differentiable Program, you have come to the right place. Nathan Simpson looks at what can make a

Pyhep 2020 Physics Analysis As A Differentiable Program Comprehensive Overview

Matthew Feickert gives a tutorial on using pyhf for accelerating Talk from HSF/IRIS-HEP This tutorial will cover how to optimise various aspects of

I will present pyoscode, a Python package for efficiently solving one-dimensional ordinary differential equations with highly ...

Summary & Highlights for Pyhep 2020 Physics Analysis As A Differentiable Program

  • David Straub looks at the use of Python in the HEP Theory community as part of the
  • A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via
  • Roland Grinis (Moscow Inst. of
  • Wolfgang Waltenberger describes the SmodelS package, for fitting simplified theory models to data. Part of the
  • Talk recorded at the Neurips

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