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
-1,398.41
M_2
-974.86
M_3
1,939.72
mL1
3,851.71
mL3
952.05
mE1
1,563.16
mE3
560.87
mQ1
204.73
mQ3
2,158.40
mU1
1,438.36
mU3
3,690.63
mD1
3,807.16
mD3
756.19
At
-2,842.64
Ab
170.85
Atau
-3,043.68
mu
439.39
mA
1,906.94
tan(beta)
13.02
The truth!
2
M_1
-1,997.19
M_2
2,944.45
M_3
2,478.74
mL1
942.17
mL3
872.71
mE1
3,172.59
mE3
1,576.28
mQ1
3,100.77
mQ3
1,958.85
mU1
3,606.14
mU3
1,960.85
mD1
2,096.33
mD3
1,752.82
At
-3,698.09
Ab
3,785.05
Atau
3,050.37
mu
287.35
mA
2,703.18
tan(beta)
50.32
The truth!
3
M_1
453.91
M_2
-409.11
M_3
3,867.96
mL1
1,124.98
mL3
3,079.33
mE1
1,243.70
mE3
3,024.47
mQ1
1,496.58
mQ3
3,369.47
mU1
1,958.92
mU3
1,998.89
mD1
2,755.13
mD3
3,519.65
At
-2,691.71
Ab
3,324.41
Atau
814.23
mu
-328.38
mA
1,489.86
tan(beta)
12.42
The truth!
4
M_1
362.17
M_2
2,366.60
M_3
2,497.30
mL1
3,165.97
mL3
2,498.86
mE1
3,190.58
mE3
2,647.74
mQ1
1,513.56
mQ3
3,606.62
mU1
1,441.23
mU3
1,156.94
mD1
3,615.00
mD3
1,604.46
At
-4,300.64
Ab
-2,818.96
Atau
-3,491.56
mu
-335.25
mA
2,120.38
tan(beta)
13.00
The truth!
5
M_1
-394.11
M_2
3,667.31
M_3
1,365.56
mL1
1,333.50
mL3
3,023.04
mE1
3,690.20
mE3
1,369.17
mQ1
1,456.08
mQ3
3,743.69
mU1
2,296.07
mU3
2,363.41
mD1
1,057.49
mD3
1,425.39
At
-3,297.83
Ab
-2,702.18
Atau
-2,742.43
mu
-385.18
mA
2,598.36
tan(beta)
21.52
The truth!
6
M_1
258.90
M_2
-3,964.68
M_3
2,293.75
mL1
3,240.68
mL3
3,795.02
mE1
3,654.54
mE3
2,719.81
mQ1
2,576.37
mQ3
3,752.44
mU1
3,624.25
mU3
2,008.07
mD1
1,218.76
mD3
901.87
At
4,215.80
Ab
-2,774.47
Atau
-3,449.53
mu
252.06
mA
2,815.05
tan(beta)
13.24
The truth!
7
M_1
2,634.66
M_2
2,038.79
M_3
938.27
mL1
3,343.68
mL3
2,792.78
mE1
1,290.82
mE3
715.17
mQ1
2,657.65
mQ3
2,099.91
mU1
759.85
mU3
1,753.57
mD1
837.19
mD3
1,817.13
At
3,120.63
Ab
1,730.93
Atau
-716.17
mu
-415.48
mA
3,081.03
tan(beta)
30.52
The truth!
8
M_1
-3,743.13
M_2
276.46
M_3
567.38
mL1
2,512.49
mL3
1,457.12
mE1
2,307.29
mE3
2,769.39
mQ1
3,088.40
mQ3
1,718.22
mU1
1,836.93
mU3
2,732.55
mD1
3,494.11
mD3
2,441.96
At
-3,764.48
Ab
-2,003.00
Atau
-529.03
mu
3,112.82
mA
3,308.19
tan(beta)
10.34
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
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