V. Croft
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View article: Towards universal unfolding of detector effects in high-energy physics using denoising diffusion probabilistic models
Towards universal unfolding of detector effects in high-energy physics using denoising diffusion probabilistic models Open
Correcting for detector effects in experimental data, particularly through unfolding, is critical for enabling precision measurements in high-energy physics. However, traditional unfolding methods face challenges in scalability, flexibilit…
View article: Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines
Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines Open
In recent years, researchers have been exploring ways to generalize Boltzmann machines (BMs) to quantum systems, leading to the development of variations such as fully-visible and restricted quantum Boltzmann machines (QBMs). Due to the no…
View article: Quantum Computing for High-Energy Physics: State of the Art and Challenges
Quantum Computing for High-Energy Physics: State of the Art and Challenges Open
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup …
View article: Publishing unbinned differential cross section results
Publishing unbinned differential cross section results Open
Machine learning tools have empowered a qualitatively new way to perform differential cross section measurements whereby the data are unbinned, possibly in many dimensions. Unbinned measurements can enable, improve, or at least simplify co…
View article: Comparison of unfolding methods using RooFitUnfold
Comparison of unfolding methods using RooFitUnfold Open
In this paper we describe RooFitUnfold, an extension of the RooFit statistical software package to treat unfolding problems, and which includes most of the unfolding methods that commonly used in particle physics. The package provides a co…
View article: Faster RooFitting: Automated parallel calculation of collaborative statistical models
Faster RooFitting: Automated parallel calculation of collaborative statistical models Open
RooFit [1, 2] is the main statistical modeling and fitting package used to extract physical parameters from reduced particle collision data, e.g. the Higgs boson experiments at the LHC [3, 4]. RooFit aims to separate particle physics model…
View article: Statistical method and comparison of different unfolding techniques using RooFit
Statistical method and comparison of different unfolding techniques using RooFit Open
The RooFitUnfold package provides a common framework to evaluate and use different unfolding algorithms, side-by-side. It currently provides implementations or interfaces for the Iterative Bayes, Singular Value Decomposition, TUnfold and G…