S. Caron, J.S. Kim, K. Rolbiecki, R. Ruiz de Austri and B. Stienen,
The BSM-AI project: SUSY-AI - Generalizing LHC limits on Supersymmetry with Machine Learning
[arXiv:1605.02797]

Can you beat the machine?

Classify alongside SUSY-AI and see how good a classifier you are

Below you'll find 10 points in the 19-dimensional pMSSM, defined by their coordinates. Based on these coordinates you could be able to classify each of them as excluded or allowed. You could... but are you able to this correctly for the 13TeV results? And are you able to beat the machine in doing so? Start classifying to find out!

P.S. Every refresh of this page gives you new points to predict!

1
M_1
-3,983.83
M_2
-1,659.24
M_3
3,639.30
mL1
2,163.58
mL3
3,981.95
mE1
403.54
mE3
987.02
mQ1
2,966.68
mQ3
3,795.38
mU1
431.47
mU3
3,347.88
mD1
601.64
mD3
485.13
At
3,560.00
Ab
-1,638.35
Atau
-572.32
mu
-176.32
mA
3,029.18
tan(beta)
42.73
The truth!
2
M_1
3,862.69
M_2
570.76
M_3
761.26
mL1
1,659.01
mL3
588.01
mE1
3,686.76
mE3
1,131.23
mQ1
3,003.20
mQ3
2,142.50
mU1
477.51
mU3
3,217.03
mD1
3,186.79
mD3
1,919.54
At
-4,546.60
Ab
1,374.04
Atau
-1,083.94
mu
-137.51
mA
663.31
tan(beta)
5.40
The truth!
3
M_1
-1,974.96
M_2
1,417.97
M_3
1,120.66
mL1
2,826.54
mL3
1,482.02
mE1
2,843.10
mE3
1,188.83
mQ1
1,296.38
mQ3
2,206.38
mU1
2,937.73
mU3
2,592.20
mD1
1,112.77
mD3
1,338.57
At
2,584.95
Ab
3,697.61
Atau
2,485.50
mu
-522.77
mA
1,905.44
tan(beta)
59.33
The truth!
4
M_1
-2,758.41
M_2
-1,571.74
M_3
497.52
mL1
1,321.40
mL3
3,489.26
mE1
2,369.61
mE3
3,529.50
mQ1
1,264.77
mQ3
2,989.56
mU1
2,937.11
mU3
3,538.57
mD1
3,319.17
mD3
2,935.55
At
-3,930.76
Ab
-3,209.24
Atau
-2,290.25
mu
546.13
mA
1,970.07
tan(beta)
48.39
The truth!
5
M_1
-189.54
M_2
-2,925.65
M_3
1,446.05
mL1
2,966.92
mL3
783.08
mE1
2,234.51
mE3
2,599.36
mQ1
1,800.80
mQ3
2,581.84
mU1
690.69
mU3
1,797.36
mD1
3,545.59
mD3
2,527.74
At
-3,994.81
Ab
633.43
Atau
-3,525.38
mu
-196.46
mA
3,186.44
tan(beta)
25.82
The truth!
6
M_1
469.08
M_2
-1,619.65
M_3
3,844.23
mL1
1,035.88
mL3
1,954.91
mE1
1,135.52
mE3
1,766.02
mQ1
1,032.91
mQ3
2,220.40
mU1
1,945.66
mU3
2,266.37
mD1
3,172.00
mD3
484.93
At
-4,235.88
Ab
3,947.05
Atau
1,150.04
mu
3,027.79
mA
3,084.15
tan(beta)
20.84
The truth!
7
M_1
-3,556.35
M_2
-580.33
M_3
3,744.26
mL1
609.00
mL3
2,918.47
mE1
1,561.36
mE3
1,612.99
mQ1
1,830.62
mQ3
3,153.88
mU1
2,370.47
mU3
2,676.03
mD1
2,647.63
mD3
1,896.37
At
2,421.19
Ab
-1,095.39
Atau
95.38
mu
-226.14
mA
2,074.00
tan(beta)
36.92
The truth!
8
M_1
465.59
M_2
-643.86
M_3
2,459.37
mL1
2,998.39
mL3
1,300.17
mE1
1,228.72
mE3
2,803.23
mQ1
3,094.96
mQ3
3,558.04
mU1
2,699.00
mU3
3,089.96
mD1
3,452.07
mD3
2,008.48
At
-3,686.54
Ab
-1,332.34
Atau
-3,506.02
mu
472.40
mA
2,950.90
tan(beta)
47.72
The truth!
9
M_1
-2,294.85
M_2
3,806.86
M_3
1,778.89
mL1
1,464.99
mL3
1,883.38
mE1
2,172.41
mE3
3,837.10
mQ1
955.65
mQ3
3,040.31
mU1
1,225.31
mU3
1,814.19
mD1
1,666.20
mD3
1,502.17
At
-3,816.19
Ab
704.75
Atau
1,153.55
mu
-165.03
mA
2,421.36
tan(beta)
27.42
The truth!
10
M_1
833.13
M_2
517.26
M_3
3,440.08
mL1
3,320.06
mL3
2,421.80
mE1
667.14
mE3
3,404.36
mQ1
2,935.85
mQ3
3,419.67
mU1
1,297.16
mU3
2,252.38
mD1
2,685.90
mD3
2,930.42
At
-4,327.00
Ab
-2,710.34
Atau
-445.80
mu
2,866.11
mA
2,802.00
tan(beta)
44.91
The truth!
SUSY-AI and SUSY-AI Online were developed by S. Caron, J.S. Kim, K. Rolbiecki, R. Ruiz de Austri and B. Stienen.
If you encounter any problems, don't hesitate to contact us!
SUSY-AI and SUSY-AI Online (c) 2017