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
-186.23
M_2
177.73
M_3
2,238.76
mL1
3,083.17
mL3
2,161.39
mE1
2,979.10
mE3
2,345.21
mQ1
2,216.89
mQ3
2,198.99
mU1
2,897.51
mU3
2,250.56
mD1
2,887.88
mD3
2,221.69
At
2,763.46
Ab
-2,498.11
Atau
3,155.82
mu
-1,177.63
mA
3,944.87
tan(beta)
19.78
The truth!
2
M_1
-744.87
M_2
1,310.88
M_3
625.64
mL1
2,489.18
mL3
3,638.90
mE1
2,560.03
mE3
1,871.17
mQ1
1,896.72
mQ3
2,510.96
mU1
812.28
mU3
2,452.92
mD1
3,741.28
mD3
3,484.86
At
3,267.39
Ab
-2,219.80
Atau
-473.54
mu
-2,293.71
mA
2,264.88
tan(beta)
49.24
The truth!
3
M_1
-884.70
M_2
1,060.60
M_3
3,201.40
mL1
2,627.31
mL3
1,989.18
mE1
3,872.41
mE3
1,885.42
mQ1
1,334.92
mQ3
1,332.15
mU1
3,605.27
mU3
1,192.26
mD1
2,252.27
mD3
2,714.02
At
-1,977.69
Ab
-14.55
Atau
343.16
mu
3,153.55
mA
1,587.39
tan(beta)
21.04
The truth!
4
M_1
-2,535.80
M_2
613.08
M_3
3,033.06
mL1
601.76
mL3
3,795.28
mE1
974.51
mE3
3,645.37
mQ1
3,805.86
mQ3
2,358.00
mU1
3,543.85
mU3
2,515.24
mD1
2,396.12
mD3
2,512.12
At
3,457.16
Ab
-1,127.23
Atau
-1,710.97
mu
-685.78
mA
2,630.21
tan(beta)
58.84
The truth!
5
M_1
-1,010.11
M_2
-746.64
M_3
3,502.44
mL1
609.89
mL3
1,982.65
mE1
1,739.04
mE3
1,630.96
mQ1
1,151.27
mQ3
1,951.72
mU1
3,255.37
mU3
3,557.22
mD1
527.22
mD3
1,768.93
At
-2,811.62
Ab
-3,730.45
Atau
3,398.05
mu
185.26
mA
3,337.63
tan(beta)
10.69
The truth!
6
M_1
2,037.79
M_2
953.44
M_3
3,100.19
mL1
935.74
mL3
3,211.55
mE1
663.17
mE3
3,062.40
mQ1
2,165.97
mQ3
3,234.77
mU1
374.55
mU3
3,077.54
mD1
1,163.43
mD3
886.87
At
3,771.28
Ab
1,344.48
Atau
2,625.17
mu
153.52
mA
2,007.21
tan(beta)
31.17
The truth!
7
M_1
1,031.20
M_2
-307.85
M_3
666.88
mL1
3,051.04
mL3
2,921.91
mE1
1,935.75
mE3
368.10
mQ1
3,943.42
mQ3
2,626.51
mU1
1,305.36
mU3
2,831.86
mD1
2,224.98
mD3
624.39
At
2,956.69
Ab
-916.30
Atau
3,069.94
mu
2,048.68
mA
3,182.06
tan(beta)
16.85
The truth!
8
M_1
1,090.44
M_2
1,748.08
M_3
3,857.07
mL1
3,646.59
mL3
1,073.57
mE1
3,203.87
mE3
2,153.47
mQ1
1,430.36
mQ3
1,961.66
mU1
1,048.84
mU3
3,560.38
mD1
2,739.74
mD3
2,301.94
At
-3,700.60
Ab
1,146.06
Atau
878.50
mu
1,185.79
mA
2,230.11
tan(beta)
14.94
The truth!
9
M_1
618.92
M_2
-1,312.34
M_3
3,218.12
mL1
900.60
mL3
614.34
mE1
1,067.59
mE3
987.72
mQ1
2,953.69
mQ3
1,452.51
mU1
1,012.82
mU3
2,716.55
mD1
1,303.76
mD3
586.78
At
4,384.60
Ab
498.54
Atau
-3,049.21
mu
2,046.18
mA
1,948.78
tan(beta)
5.88
The truth!
10
M_1
-2,460.61
M_2
275.09
M_3
3,991.84
mL1
1,876.85
mL3
769.24
mE1
2,152.91
mE3
3,836.62
mQ1
710.37
mQ3
3,611.46
mU1
3,528.05
mU3
3,704.03
mD1
1,669.39
mD3
1,271.26
At
-4,785.37
Ab
-711.83
Atau
385.81
mu
1,649.86
mA
2,350.86
tan(beta)
52.30
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