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
3,316.25
M_2
164.59
M_3
3,848.38
mL1
2,096.90
mL3
1,288.96
mE1
3,859.74
mE3
3,849.53
mQ1
2,056.19
mQ3
3,772.56
mU1
1,036.00
mU3
3,219.36
mD1
1,720.12
mD3
1,263.77
At
3,368.02
Ab
-1,600.31
Atau
2,293.44
mu
663.76
mA
3,114.79
tan(beta)
24.31
The truth!
2
M_1
3,912.26
M_2
1,058.05
M_3
3,891.20
mL1
955.29
mL3
3,132.46
mE1
3,893.76
mE3
1,057.25
mQ1
2,301.59
mQ3
2,334.66
mU1
2,247.80
mU3
2,882.93
mD1
1,645.91
mD3
2,578.35
At
-3,875.39
Ab
-913.15
Atau
1,945.42
mu
-102.80
mA
2,211.47
tan(beta)
48.86
The truth!
3
M_1
1,354.77
M_2
2,581.33
M_3
2,596.24
mL1
1,325.26
mL3
1,825.43
mE1
688.99
mE3
1,452.85
mQ1
2,448.70
mQ3
1,449.58
mU1
314.05
mU3
2,929.29
mD1
2,957.18
mD3
1,572.68
At
-3,434.59
Ab
274.10
Atau
-186.70
mu
211.18
mA
2,794.39
tan(beta)
15.04
The truth!
4
M_1
-3,268.79
M_2
2,978.52
M_3
3,468.44
mL1
2,896.36
mL3
1,032.13
mE1
1,286.97
mE3
2,851.06
mQ1
731.12
mQ3
2,964.84
mU1
2,871.05
mU3
3,635.24
mD1
1,015.20
mD3
3,362.44
At
-4,527.83
Ab
1,709.03
Atau
-1,905.24
mu
293.92
mA
2,718.29
tan(beta)
34.27
The truth!
5
M_1
-1,734.62
M_2
-1,986.37
M_3
2,801.09
mL1
542.37
mL3
817.80
mE1
491.20
mE3
1,238.87
mQ1
2,707.64
mQ3
3,381.58
mU1
2,435.26
mU3
3,907.03
mD1
2,142.62
mD3
745.44
At
-4,944.11
Ab
907.04
Atau
-1,234.53
mu
450.87
mA
3,439.46
tan(beta)
48.00
The truth!
6
M_1
1,600.45
M_2
3,957.56
M_3
2,993.45
mL1
3,122.17
mL3
1,959.11
mE1
1,195.59
mE3
1,501.64
mQ1
1,314.28
mQ3
3,219.42
mU1
288.82
mU3
2,023.48
mD1
866.24
mD3
3,664.67
At
4,284.74
Ab
1,574.15
Atau
688.07
mu
486.72
mA
3,968.21
tan(beta)
52.20
The truth!
7
M_1
-297.13
M_2
2,953.16
M_3
1,546.90
mL1
3,858.66
mL3
1,717.43
mE1
3,895.42
mE3
1,626.24
mQ1
2,610.40
mQ3
1,981.62
mU1
468.89
mU3
3,421.59
mD1
701.96
mD3
1,906.88
At
2,737.61
Ab
-3,092.48
Atau
-1,184.48
mu
-317.41
mA
1,107.04
tan(beta)
33.21
The truth!
8
M_1
-2,724.12
M_2
-1,830.82
M_3
1,034.34
mL1
3,766.43
mL3
3,405.37
mE1
3,732.06
mE3
2,904.34
mQ1
1,227.72
mQ3
2,869.94
mU1
1,980.62
mU3
1,778.55
mD1
1,716.24
mD3
3,870.41
At
3,380.77
Ab
-2,601.91
Atau
-1,860.09
mu
864.47
mA
3,437.01
tan(beta)
43.37
The truth!
9
M_1
63.34
M_2
1,529.56
M_3
342.52
mL1
689.75
mL3
1,078.04
mE1
1,358.28
mE3
951.04
mQ1
1,391.51
mQ3
2,850.39
mU1
3,221.49
mU3
2,692.49
mD1
2,465.38
mD3
2,978.72
At
-3,350.96
Ab
-792.89
Atau
3,429.91
mu
-160.93
mA
1,424.19
tan(beta)
9.57
The truth!
10
M_1
-1,319.48
M_2
2,430.47
M_3
1,642.05
mL1
654.75
mL3
2,890.93
mE1
2,253.73
mE3
3,611.38
mQ1
2,126.75
mQ3
3,225.10
mU1
2,704.74
mU3
3,355.80
mD1
631.89
mD3
1,837.93
At
-6,465.64
Ab
-1,830.71
Atau
-887.72
mu
543.93
mA
3,260.48
tan(beta)
5.03
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