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[Licence| Download | New Version Template] aeut_v1_1.tar.gz(2118 Kbytes)
Manuscript Title: CheckMATE: A framework to create customised LHC analyses within CheckMATE
Authors: Jong Soo Kim, Daniel Schmeier, Jamie Tattersall, Krzysztof Rolbiecki
Program title: CheckMATE, AnalysisManager
Catalogue identifier: AEUT_v1_1
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 196(2015)535
Programming language: C++, Python.
Computer: PC, Mac.
Operating system: Linux, Mac OS.
Keywords: Analysis, Confidence Limits, Monte Carlo, Detector Simulation, Delphes, ROOT, LHC.
PACS: 12.60.-i.
Classification: 11.9.

External routines: ROOT, Python, Delphes (included with the distribution)

Does the new version supersede the previous version?: Yes

Nature of problem:
The LHC has delivered a wealth of new data that is now being analysed. Both ATLAS and CMS have performed many searches for new physics that theorists are eager to test their model against. However, tuning the detector simulations, understanding the particular analysis details and interpreting the results can be a tedious and repetitive task. Furthermore, new analyses are being constantly published by the experiments and might be not yet included in the official CheckMATE distribution.

Solution method:
The AnalysisManager within CheckMATE framework allows the user to easily include new experimental analyses as they are published by the collaborations. Furthermore, completely novel analyses can be designed and added by the user in order to test models at higher center-of-mass energy and/or luminosity.

Reasons for new version:
New features, bug fixes, additional validated analyses.

Summary of revisions:
New kinematic variables M_CT, M_T2bl, m_T, alpha_T, razor; internal likelihood calculation; missing energy smearing; efficiency tables; validated tau-tagging; improved AnalysisManager and code structure; new analyses; bug fixes.

Only a subset of available experimental results have been implemented.

Additional comments:
Checkmate is built upon the tools and hard work of many people. If Checkmate is used in your publication it is extremely important that all of the following citations are included,
  • Delphes 3 [1].
  • FastJet [2,3].
  • Anti-kt jet algorithm [4].
  • CLs prescription [5].
  • In analyses that use the MT2 kinematical discriminant we use the Oxbridge Kinetics Library [6,7] and the algorithm developed by Cheng and Han [8] which also includes the MT2bl variable [9].
  • In analyses that use the MCT family of kinematical discriminants we use MctLib [10,11] which also includes the MCT⊥ and MCTII variables [12].
  • All experimental analyses that were used to set limits in the study.
  • The Monte Carlo event generator that was used.

Running time:
The running time scales about linearly with the number of input events provided by the user. The detector simulation / analysis of 20000 events needs about 50s / 1s for a single core calculation on an Intel Core i5-3470 with 3.2 GHz and 8 GB RAM.

[1] J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lematre, et al., "DELPHES 3, A modular framework for fast simulation of a generic collider experiment," 2013.
[2] M. Cacciari, G. P. Salam, and G. Soyez, "FastJet User Manual," Eur.Phys.J., vol. C72, p. 1896, 2012.
[3] M. Cacciari and G. P. Salam, "Dispelling the N3 myth for the kt jet-finder," Phys.Lett., vol. B641, pp. 57-61, 2006.
[4] M. Cacciari, G. P. Salam, and G. Soyez, "The Anti-k(t) jet clustering algorithm," JHEP, vol. 0804, p. 063, 2008.
[5] A. L. Read, "Presentation of search results: the cl's technique," Journal of Physics G: Nuclear and Particle Physics, vol. 28, no. 10, p. 2693, 2002.
[6] C. Lester and D. Summers, "Measuring masses of semiinvisibly decaying particles pair produced at hadron colliders," Phys.Lett., vol. B463, pp. 99-103, 1999.
[7] A. Barr, C. Lester, and P. Stephens, "m(T2): The Truth behind the glamour," J.Phys., vol. G29, pp. 2343-2363, 2003.
[8] H.-C. Cheng and Z. Han, "Minimal Kinematic Constraints and m(T2)," JHEP, vol. 0812, p. 063, 2008.
[9] Y. Bai, H.-C. Cheng, J. Gallicchio, and J. Gu, "Stop the Top Background of the Stop Search," JHEP, vol. 1207, p. 110, 2012.
[10] D. R. Tovey, "On measuring the masses of pair-produced semi-invisibly decaying particles at hadron colliders," JHEP, vol. 0804, p. 034, 2008.
[11] G. Polesello and D. R. Tovey, "Supersymmetric particle mass measurement with the boost-corrected contransverse mass," JHEP, vol. 1003, p. 030, 2010.
[12] K. T. Matchev and M. Park, "A General method for determining the masses of semi-invisibly decaying particles at hadron colliders," Phys.Rev.Lett., vol. 107, p. 061801, 2011.