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K. T. Matchev, F. Moortgat and L. Pape, “Dreaming Awake: Disentangling the Underlying Physics in Case of a SUSY-like Discovery at the LHC,” J. Phys. G 46
Original
1902
Earlier work this paper cites.
D. Kim, K. T. Matchev and P. Shyamsundar, “Kinematic Focus Point Method for Particle Mass Measurements in Missing Energy Events,” JHEP 10
Original
1906
Earlier work this paper cites.
K. T. Matchev and P. Shyamsundar, “Singularity Variables for Missing Energy Event Kinematics,” JHEP 04
Original
1911
Earlier work this paper cites.
Maurice G. Kendall, “The treatment of ties in ranking problems”, Biometrika Vol. 33, No. 3, pp. 239-251. 1945
1945
Earlier work this paper cites.
R. Bellman, “Dynamic Programming”, Princeton University Press, 1957
1957
Earlier work this paper cites.
V. D. Barger, A. D. Martin and R. J. N. Phillips, “Perpendicular ν e \nu_{e} Mass From W W Decay,” Z. Phys. C 21
1983
Earlier work this paper cites.
J. Smith, W. L. van Neerven and J. A. M. Vermaseren, “The Transverse Mass and Width of the W W Boson,” Phys. Rev. Lett. 50
1983
Earlier work this paper cites.

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2021

Kim, Doojin, Kong, Kyoungchul, Matchev, Konstantin T. et al.

The choice of optimal event variables is crucial for achieving the maximal sensitivity of experimental analyses.

Over time, physicists have derived suitable kinematic variables for many typical event topologies in collider physics.
Here we introduce a deep learning technique to design good event variables, which are sensitive over a wide range of values for the unknown model parameters.
We demonstrate that the neural networks trained with our technique on some simple event topologies are able to reproduce standard event variables like invariant mass, transverse mass, and stransverse mass.

K. T. Matchev, F. Moortgat and L. Pape, “Dreaming Awake: Disentangling the Underlying Physics in Case of a SUSY-like Discovery at the LHC,” J. Phys. G 46
Original
1902
Earlier work this paper cites.
D. Kim, K. T. Matchev and P. Shyamsundar, “Kinematic Focus Point Method for Particle Mass Measurements in Missing Energy Events,” JHEP 10
Original
1906
Earlier work this paper cites.
K. T. Matchev and P. Shyamsundar, “Singularity Variables for Missing Energy Event Kinematics,” JHEP 04
Original
1911
Earlier work this paper cites.
Maurice G. Kendall, “The treatment of ties in ranking problems”, Biometrika Vol. 33, No. 3, pp. 239-251. 1945
1945
Earlier work this paper cites.
R. Bellman, “Dynamic Programming”, Princeton University Press, 1957
1957
Earlier work this paper cites.
V. D. Barger, A. D. Martin and R. J. N. Phillips, “Perpendicular ν e \nu_{e} Mass From W W Decay,” Z. Phys. C 21
1983
Earlier work this paper cites.
J. Smith, W. L. van Neerven and J. A. M. Vermaseren, “The Transverse Mass and Width of the W W Boson,” Phys. Rev. Lett. 50
1983
Earlier work this paper cites.

C. G. Lester and D. J. Summers, “Measuring masses of semiinvisibly decaying particles pair produced at hadron colliders,” Phys. Lett. B 463
1999
Cited alongside, same era.
N. Tishby, F. C. Pereira and W. Bialek, “The information bottleneck method”, Proc. of the 37-th Annual Allerton Conference on Communication, Control and Computing, page 368-377, (1999), [arXiv:physics/0004057 [physics.data-an]]
1999
Cited alongside, same era.
Zwillinger, D. and Kokoska, S. “CRC Standard Probability and Statistics Tables and Formulae”. Chapman & Hall: New York. 2000. Section 14.7
2000
Cited alongside, same era.
A. J. Barr and C. G. Lester, “A Review of the Mass Measurement Techniques proposed for the Large Hadron Collider,” J. Phys. G 37
Original
2010
Cited alongside, same era.
I. W. Kim, “Algebraic Singularity Method for Mass Measurement with Missing Energy,” Phys. Rev. Lett. 104