4.7 Article

LAURA(++): A Dalitz plot fitter

Journal

COMPUTER PHYSICS COMMUNICATIONS
Volume 231, Issue -, Pages 198-242

Publisher

ELSEVIER
DOI: 10.1016/j.cpc.2018.04.017

Keywords

Event reconstruction and data analysis; Dalitz plot; Amplitude analysis; Isobar model; K-matrix; Flavour physics

Funding

  1. Science and Technology Facilities Council (United Kingdom) [ST/N000455/1]
  2. European Research Council under FP7 [ERC-2009-StG/239999]
  3. Marie Skiodowska-Curie Actions [H2020-MSCA-IF-2015/702287]
  4. University of Warwick
  5. STFC [ST/N000455/1, ST/L003163/1] Funding Source: UKRI

Ask authors/readers for more resources

The Dalitz plot analysis technique has become an increasingly important method in heavy flavour physics. The LAURA(++) fitter has been developed as a flexible tool that can be used for Dalitz plot analyses in different experimental environments. Explicitly designed for three-body decays of heavy -flavoured mesons to spinless final state particles, it is optimised in order to describe all possible resonant or nonresonant contributions, and to accommodate possible CP violation effects. Program summary Program title: LAURA++ Program Files doi: http://dx.doi.org/10.17632/jn266r57nk.1 Licensing provisions: Apache License, Version 2.0 Programming language: C++ Nature of problem: Dalitz-plot analysis of particle decays is an important and increasingly utilised technique in particle physics, in particular in heavy flavour physics. While various software tools have been used for Dalitz plot analyses, these are usually not well optimised and are neither scalable for use with larger samples nor flexible enough to be easily adapted for other analyses. Solution method: LAURA++ is a dedicated package for performing Dalitz-plot analysis that is flexible enough both to be used in a range of experimental environments and to describe many possible different decays and types of analyses. It allows analysts to create amplitude models to describe the decay of interest and to use those models either to generate pseudoexperiments or to fit them to data. 2018 The Author(s). Published by Elsevier B.V. (C) 2018 The Author(s). Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available