TUnfold, an algorithm for correcting migration effects in high energy physics

By S. Schmitt. 2012

197 citations recorded by the source corpus.

TUnfold is a tool for correcting migration and background effects in high energy physics for multi-dimensional distributions. It is based on a least square fit with Tikhonov regularisation and an optional area constraint. For determining the strength of the regularisation parameter, the L-curve method and scans of global correlation coefficients are implemented. The algorithm supports background subtraction and the propagation of statistical and systematic uncertainties, in particular those originating from limited knowledge of the response matrix. The program is interfaced to the ROOT analysis framework.

Subfields: Aerospace Engineering, Nuclear and High Energy Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/219cf6687d1bf75427034e90c629e0e5eed4f4bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Astronomy
2. Liverpool
3. D. Physics
4. Heidelberg · Germany

In Nuclear and High Energy Physics

1. N. Xu
2. V. Koch
3. J. Liao
4. A. Bzdak
5. S. Esumi
6. Astrophysics
7. Queen's University
8. UK.

Citations in the corpus

• Mapping the phases of quantum chromodynamics with beam energy scan (2019, background): “This procedure, which is commonly referred to as unfolding, is rather complicated [307, 313, 314].”
• Current Status and Future Prospects of the SNO+ Experiment (2015, methodology): “he reconstructed energy spectrum is obtained from the detected proton energy unfolded using the TUnfold algorithm [73], on the basis of binned data.”