Speaker
Jamie Tattersall
(RWTH Aachen)
Description
In the first four years of running, the LHC has delivered a wealth of new data that is now being analysed. The two multi-purpose detectors, ATLAS and CMS, have performed many searches for new physics but theorists are eager to test their own particular model. We present the program CheckMATE (Check Models At Terascale Energies) that helps to automise this procedure so that new theories can easily be checked against the latest results.
The backbone of CheckMATE is a library of almost 50 LHC analyses that almost any new physics model can be tested against. The user only needs to provide a model in SLHA format and CheckMATE will automatically decide if the model is ruled out or not. In addition, if new physics begins to appear, CheckMATE offers the possibility to quickly determine the model that best fits the data.
New CheckMATE features are also presented including Machine Learning tools that allow for fast and accurate scans of theories with many free parameters. In addition, a novel technique using kinematic transformations of existing events will be presented that promises to speed up the determination of model best fit points by many orders of magnitude.
https://checkmate.hepforge.org/
Primary author
Jamie Tattersall
(RWTH Aachen)
Co-authors
Daniel Schmeier
Herbi Dreiner
(Bonn University)
Jong Soo Kim
Krzysztof Rolbiecki
(Institute of Theoretical Physics, Warsaw University)
Nishita Dattatray Desai
(Ruprecht-Karls-Universitaet Heidelberg (DE))
