SciPost Submission Page

Eikos: a Bayesian unfolding method for differential cross-section measurements

by Riccardo Di Sipio

Submission summary

As Contributors: Riccardo Di Sipio
Arxiv Link: https://arxiv.org/abs/1808.01930v3
Date submitted: 2019-08-07
Submitted by: Di Sipio, Riccardo
Submitted to: SciPost Physics
Domain(s): Computational
Subject area: High-Energy Physics - Experiment

Abstract

A likelihood-based unfolding method based on Bayes' theorem is presented, with a particular emphasis on the application to differential cross-section measurements in high-energy particle interactions.

Current status:
Editor-in-charge assigned

Submission & Refereeing History

Submission 1808.01930v3 on 7 August 2019

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