Progress in measurements of 0.1–10 GeV neutrino–nucleus scattering and anticipated results from future experiments
K Mahn, C Marshall, C Wilkinson - Annual Review of Nuclear …, 2018 - annualreviews.org
Neutrino interactions with nuclei have been the subject of intense interest during the last 15
years. Current and future measurements of neutrino oscillation and exotic physics use order …
years. Current and future measurements of neutrino oscillation and exotic physics use order …
Comparison of unfolding methods using RooFitUnfold
L Brenner, R Balasubramanian, C Burgard… - … Journal of Modern …, 2020 - World Scientific
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 …
package to treat unfolding problems, and which includes most of the unfolding methods that …
Comparisons and challenges of modern neutrino-scattering experiments
MB Avanzini, M Betancourt, D Cherdack, M Del Tutto… - Physical Review D, 2022 - APS
A set of comparisons among neutrino interaction experiments [MiniBooNE, MINERvA, Tokai-
to-Kamioka (T2K), and MicroBooNE] is presented. This gives a broad view of the field of …
to-Kamioka (T2K), and MicroBooNE] is presented. This gives a broad view of the field of …
Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals
Unfolding is an ill-posed inverse problem in particle physics aiming to infer a true particle-
level spectrum from smeared detector-level data. For computational and practical reasons …
level spectrum from smeared detector-level data. For computational and practical reasons …
Objective Frequentist Uncertainty Quantification for Atmospheric Retrievals
The steadily increasing amount of atmospheric carbon dioxide () is affecting the global
climate system and threatening the long-term sustainability of Earth's ecosystem. In order to …
climate system and threatening the long-term sustainability of Earth's ecosystem. In order to …
Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture
We present an optimization-based framework to construct confidence intervals for
functionals in constrained inverse problems, ensuring valid one-at-a-time frequentist …
functionals in constrained inverse problems, ensuring valid one-at-a-time frequentist …
A data-driven convergence criterion for iterative unfolding of smeared spectra
M Licciardi, B Quilain - arXiv preprint arXiv:2101.01096, 2021 - arxiv.org
A data-driven convergence criterion for the D'Agostini (Richardson-Lucy) iterative unfolding
is presented. It relies on the unregularized spectrum (infinite number of iterations), and …
is presented. It relies on the unregularized spectrum (infinite number of iterations), and …