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
-3,714.27
M_2
-488.38
M_3
2,910.60
mL1
1,289.22
mL3
1,960.54
mE1
1,394.77
mE3
2,034.64
mQ1
1,185.90
mQ3
3,846.15
mU1
3,992.92
mU3
3,882.97
mD1
3,504.55
mD3
2,633.18
At
2,046.90
Ab
1,057.00
Atau
2,379.38
mu
-1,082.12
mA
2,322.67
tan(beta)
21.80
The truth!
2
M_1
-2,895.90
M_2
3,285.80
M_3
1,048.77
mL1
3,398.06
mL3
2,096.28
mE1
2,343.32
mE3
1,330.55
mQ1
350.65
mQ3
1,291.84
mU1
1,489.27
mU3
1,966.10
mD1
3,957.17
mD3
2,773.95
At
3,864.20
Ab
3,303.05
Atau
-3,403.79
mu
-308.82
mA
1,471.33
tan(beta)
3.88
The truth!
3
M_1
2,067.55
M_2
-3,458.26
M_3
789.35
mL1
1,588.49
mL3
936.97
mE1
1,859.05
mE3
3,344.69
mQ1
1,315.34
mQ3
3,043.49
mU1
1,974.44
mU3
2,507.36
mD1
579.46
mD3
1,848.21
At
3,068.75
Ab
-793.33
Atau
2,595.01
mu
-177.74
mA
3,139.43
tan(beta)
33.87
The truth!
4
M_1
-961.08
M_2
261.19
M_3
3,201.57
mL1
2,818.66
mL3
445.48
mE1
3,631.75
mE3
1,502.55
mQ1
3,320.24
mQ3
3,902.83
mU1
1,323.68
mU3
1,907.18
mD1
3,488.22
mD3
2,219.25
At
-2,936.61
Ab
510.24
Atau
-2,245.66
mu
1,319.17
mA
1,214.34
tan(beta)
39.92
The truth!
5
M_1
-2,845.74
M_2
-329.77
M_3
1,096.09
mL1
965.78
mL3
943.69
mE1
1,391.54
mE3
2,439.96
mQ1
2,154.49
mQ3
2,454.55
mU1
3,224.72
mU3
2,078.80
mD1
1,913.22
mD3
2,096.87
At
3,401.69
Ab
2,473.57
Atau
2,253.43
mu
-1,579.74
mA
2,468.11
tan(beta)
7.57
The truth!
6
M_1
1,644.84
M_2
543.20
M_3
2,539.88
mL1
1,222.58
mL3
1,851.32
mE1
1,559.18
mE3
3,887.84
mQ1
738.86
mQ3
2,768.80
mU1
1,365.92
mU3
3,443.65
mD1
3,399.39
mD3
2,792.80
At
-4,472.38
Ab
-625.56
Atau
-1,499.62
mu
2,637.52
mA
2,317.98
tan(beta)
35.02
The truth!
7
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!
8
M_1
2,816.34
M_2
3,665.97
M_3
998.36
mL1
2,140.73
mL3
658.52
mE1
2,570.15
mE3
3,634.78
mQ1
3,799.62
mQ3
1,344.19
mU1
1,866.33
mU3
2,345.35
mD1
2,857.64
mD3
3,252.64
At
2,994.27
Ab
2,367.32
Atau
2,035.24
mu
-383.28
mA
682.85
tan(beta)
23.60
The truth!
9
M_1
-772.48
M_2
-749.42
M_3
3,436.52
mL1
995.89
mL3
3,721.33
mE1
2,202.36
mE3
1,220.43
mQ1
1,730.93
mQ3
1,410.79
mU1
2,239.50
mU3
3,227.69
mD1
831.87
mD3
1,834.53
At
2,819.32
Ab
3,104.17
Atau
2,453.78
mu
-2,834.37
mA
2,322.97
tan(beta)
9.22
The truth!
10
M_1
1,955.20
M_2
1,339.60
M_3
1,256.03
mL1
3,840.58
mL3
3,854.88
mE1
1,028.55
mE3
1,141.16
mQ1
256.91
mQ3
3,206.46
mU1
3,960.10
mU3
2,713.57
mD1
2,249.72
mD3
480.78
At
4,613.53
Ab
3,066.55
Atau
-2,568.03
mu
412.43
mA
2,644.73
tan(beta)
4.98
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