Media Summary: Speaker: Giordon Stark * Indico agenda: * High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ... The use of statistical models to accurately represent and interpret data from high-energy physics experiments is crucial to gaining ...

Pyhf Overview And Basic Tutorial - Detailed Analysis & Overview

Speaker: Giordon Stark * Indico agenda: * High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ... The use of statistical models to accurately represent and interpret data from high-energy physics experiments is crucial to gaining ... The cabinetry library provides interfaces and functionality for both the creation and use of statistical models together with This contribution signifies a shift in ATLAS statistical data analysis by implementing traditional fit strategies utilizing the Speaker: Matthew Feickert * Indico agenda: *

iminuit is a Pythonic wrapper to the MINUIT2 C++ library which is part of the ROOT framework, but does not require ROOT to be ... ... default in high energy physics right now uh so if you want to The SFitter analysis framework has been used for many global analyses, making use of a comprehensive treatment of ...

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pyhf tutorial and exploration
pyhf Overview and Basic Tutorial - Giordon Stark
PyHEP 2020 pyhf Tutorial
pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020|  Feickert
PyHEP2022 Pyhf to Combine Converter
Constructing and steering pyhf models with cabinetry - Alexander Held
pyhf v0.7.1 release
Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf - Vangelis
pyhf Development Onboarding - Matthew Feickert
PyHEP2022 iminuit fitting models to data
"Statistical Inference: pyhf and cabinetry" - Matthew Feickert
Distributed statistical inference with pyhf powered by funcX | SciPy 2021
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pyhf tutorial and exploration

pyhf tutorial and exploration

As

pyhf Overview and Basic Tutorial - Giordon Stark

pyhf Overview and Basic Tutorial - Giordon Stark

Speaker: Giordon Stark * Indico agenda: https://indico.cern.ch/event/1294577/contributions/5689572/ *

PyHEP 2020 pyhf Tutorial

PyHEP 2020 pyhf Tutorial

Matthew Feickert gives a

pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020|  Feickert

pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd |Scipy 2020| Feickert

High Energy Physics analyses are performed with statistical computations to determine the compatibility of the reported results ...

PyHEP2022 Pyhf to Combine Converter

PyHEP2022 Pyhf to Combine Converter

The use of statistical models to accurately represent and interpret data from high-energy physics experiments is crucial to gaining ...

Constructing and steering pyhf models with cabinetry - Alexander Held

Constructing and steering pyhf models with cabinetry - Alexander Held

The cabinetry library provides interfaces and functionality for both the creation and use of statistical models together with

pyhf v0.7.1 release

pyhf v0.7.1 release

Walkthrough of the release of

Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf - Vangelis

Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf - Vangelis

This contribution signifies a shift in ATLAS statistical data analysis by implementing traditional fit strategies utilizing the

pyhf Development Onboarding - Matthew Feickert

pyhf Development Onboarding - Matthew Feickert

Speaker: Matthew Feickert * Indico agenda: https://indico.cern.ch/event/1294577/sessions/502768/#20231207 *

PyHEP2022 iminuit fitting models to data

PyHEP2022 iminuit fitting models to data

iminuit is a Pythonic wrapper to the MINUIT2 C++ library which is part of the ROOT framework, but does not require ROOT to be ...

"Statistical Inference: pyhf and cabinetry" - Matthew Feickert

"Statistical Inference: pyhf and cabinetry" - Matthew Feickert

IRIS-HEP AGC Tools 2022 Workshop https://indico.cern.ch/event/1126109.

Distributed statistical inference with pyhf powered by funcX | SciPy 2021

Distributed statistical inference with pyhf powered by funcX | SciPy 2021

... default in high energy physics right now uh so if you want to

Staying on Top of likelihood analyses: Using pyhf in global SMEFT analyses with SFitter - Schmal

Staying on Top of likelihood analyses: Using pyhf in global SMEFT analyses with SFitter - Schmal

The SFitter analysis framework has been used for many global analyses, making use of a comprehensive treatment of ...