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
1,472.00
M_2
799.45
M_3
608.31
mL1
3,451.14
mL3
663.99
mE1
1,291.42
mE3
1,554.26
mQ1
631.28
mQ3
1,488.14
mU1
2,953.63
mU3
3,521.98
mD1
2,998.39
mD3
1,503.47
At
-3,706.33
Ab
-3,325.28
Atau
-1,318.72
mu
-550.93
mA
3,879.01
tan(beta)
21.57
The truth!
2
M_1
-1,841.53
M_2
-93.87
M_3
1,153.46
mL1
2,778.25
mL3
3,680.85
mE1
3,266.92
mE3
3,329.97
mQ1
2,278.91
mQ3
3,065.64
mU1
584.35
mU3
2,144.63
mD1
2,945.83
mD3
1,463.92
At
-3,205.75
Ab
-1,053.56
Atau
-132.34
mu
3,210.21
mA
1,332.24
tan(beta)
24.72
The truth!
3
M_1
2,067.55
M_2
1,284.67
M_3
3,298.77
mL1
426.88
mL3
2,091.44
mE1
1,609.09
mE3
2,236.54
mQ1
2,937.09
mQ3
3,981.54
mU1
3,531.82
mU3
3,237.20
mD1
268.72
mD3
960.29
At
-4,046.95
Ab
14.14
Atau
-3,508.95
mu
-377.43
mA
1,823.48
tan(beta)
14.53
The truth!
4
M_1
-303.67
M_2
1,949.12
M_3
237.01
mL1
2,893.41
mL3
3,349.01
mE1
1,266.38
mE3
3,134.58
mQ1
1,638.01
mQ3
693.20
mU1
3,871.93
mU3
1,380.86
mD1
3,593.28
mD3
1,072.23
At
2,496.60
Ab
3,897.59
Atau
2,451.57
mu
-327.13
mA
3,598.11
tan(beta)
4.46
The truth!
5
M_1
580.57
M_2
1,154.13
M_3
3,898.17
mL1
699.23
mL3
527.74
mE1
3,023.49
mE3
1,996.04
mQ1
2,380.64
mQ3
3,136.00
mU1
231.15
mU3
2,941.76
mD1
2,319.57
mD3
3,789.71
At
-6,347.31
Ab
494.80
Atau
-1,937.47
mu
1,329.43
mA
3,983.39
tan(beta)
5.57
The truth!
6
M_1
2,199.73
M_2
1,739.39
M_3
3,701.54
mL1
3,500.36
mL3
377.00
mE1
2,478.24
mE3
981.24
mQ1
1,132.06
mQ3
1,055.55
mU1
3,311.69
mU3
2,604.10
mD1
2,617.94
mD3
3,007.82
At
2,485.24
Ab
762.10
Atau
147.04
mu
-226.58
mA
2,187.61
tan(beta)
8.29
The truth!
7
M_1
-3,280.67
M_2
3,424.08
M_3
2,912.97
mL1
3,427.79
mL3
3,082.67
mE1
824.44
mE3
2,254.27
mQ1
2,739.91
mQ3
3,277.58
mU1
1,648.04
mU3
2,543.93
mD1
3,680.31
mD3
3,886.04
At
-3,957.54
Ab
-355.74
Atau
535.50
mu
723.78
mA
2,087.51
tan(beta)
27.62
The truth!
8
M_1
-2,888.39
M_2
-315.23
M_3
2,048.55
mL1
3,322.36
mL3
1,438.68
mE1
2,789.64
mE3
3,367.10
mQ1
3,335.09
mQ3
2,709.01
mU1
867.61
mU3
2,428.69
mD1
3,978.08
mD3
2,250.79
At
-3,130.20
Ab
3,138.90
Atau
-1,819.09
mu
-171.60
mA
2,337.34
tan(beta)
21.77
The truth!
9
M_1
-1,187.96
M_2
-3,990.88
M_3
1,836.65
mL1
3,494.37
mL3
2,337.93
mE1
2,094.05
mE3
2,259.31
mQ1
1,831.62
mQ3
2,808.54
mU1
1,893.25
mU3
3,815.14
mD1
1,629.52
mD3
2,731.82
At
3,733.97
Ab
1,562.99
Atau
-1,768.27
mu
243.04
mA
3,433.44
tan(beta)
43.50
The truth!
10
M_1
2,583.73
M_2
632.26
M_3
1,464.42
mL1
3,819.08
mL3
1,846.25
mE1
2,767.73
mE3
1,368.07
mQ1
2,636.66
mQ3
3,329.00
mU1
985.09
mU3
3,821.63
mD1
3,472.76
mD3
1,200.83
At
-3,637.87
Ab
1,302.32
Atau
-3,439.18
mu
2,160.06
mA
2,170.16
tan(beta)
24.76
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