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
249.48
M_2
-3,044.92
M_3
1,925.76
mL1
919.95
mL3
2,812.30
mE1
1,204.76
mE3
1,456.44
mQ1
1,043.90
mQ3
1,485.56
mU1
1,882.63
mU3
2,689.15
mD1
3,740.71
mD3
2,410.83
At
3,568.41
Ab
-3,346.39
Atau
-813.90
mu
249.05
mA
2,394.57
tan(beta)
17.37
The truth!
2
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!
3
M_1
1,173.02
M_2
-3,078.87
M_3
1,225.71
mL1
1,849.64
mL3
2,619.16
mE1
3,626.95
mE3
3,256.95
mQ1
392.56
mQ3
1,695.43
mU1
1,198.58
mU3
3,581.52
mD1
3,910.03
mD3
473.18
At
4,103.45
Ab
449.82
Atau
1,979.01
mu
388.41
mA
1,778.50
tan(beta)
11.43
The truth!
4
M_1
2,146.75
M_2
-2,674.43
M_3
2,149.97
mL1
1,808.02
mL3
654.19
mE1
1,164.62
mE3
3,466.81
mQ1
3,515.68
mQ3
3,015.35
mU1
552.75
mU3
3,179.73
mD1
3,432.75
mD3
336.86
At
-5,201.46
Ab
2,269.26
Atau
391.63
mu
-235.43
mA
3,869.70
tan(beta)
11.60
The truth!
5
M_1
-2,976.16
M_2
-496.08
M_3
3,115.83
mL1
1,396.26
mL3
3,511.19
mE1
495.41
mE3
1,951.41
mQ1
442.73
mQ3
1,228.42
mU1
632.82
mU3
3,722.60
mD1
3,473.07
mD3
3,198.23
At
-3,431.82
Ab
-2,167.77
Atau
-3,711.22
mu
1,999.18
mA
3,156.73
tan(beta)
51.72
The truth!
6
M_1
620.55
M_2
-653.64
M_3
2,508.40
mL1
3,608.18
mL3
3,123.82
mE1
2,883.87
mE3
1,564.78
mQ1
638.75
mQ3
650.48
mU1
854.75
mU3
3,064.96
mD1
3,673.71
mD3
1,576.29
At
-2,554.81
Ab
-3,148.44
Atau
-2,834.08
mu
1,070.89
mA
1,584.35
tan(beta)
22.35
The truth!
7
M_1
-653.50
M_2
1,482.33
M_3
514.00
mL1
882.81
mL3
1,343.03
mE1
1,989.23
mE3
3,325.86
mQ1
2,443.98
mQ3
3,967.97
mU1
1,926.34
mU3
3,410.92
mD1
1,631.86
mD3
2,425.62
At
-4,362.27
Ab
1,861.88
Atau
-916.55
mu
2,413.18
mA
1,363.48
tan(beta)
22.39
The truth!
8
M_1
3,768.11
M_2
356.83
M_3
583.30
mL1
2,428.85
mL3
3,883.16
mE1
2,975.61
mE3
2,507.91
mQ1
3,298.57
mQ3
1,853.31
mU1
1,719.87
mU3
2,662.09
mD1
3,660.69
mD3
1,766.04
At
-2,703.93
Ab
2,140.63
Atau
3,534.34
mu
3,307.73
mA
3,225.31
tan(beta)
52.84
The truth!
9
M_1
331.20
M_2
868.10
M_3
1,692.37
mL1
2,592.99
mL3
2,648.16
mE1
1,726.50
mE3
1,558.85
mQ1
3,476.61
mQ3
1,896.00
mU1
1,626.03
mU3
3,502.64
mD1
2,216.47
mD3
3,576.38
At
3,316.17
Ab
639.83
Atau
2,163.03
mu
243.74
mA
3,170.74
tan(beta)
6.89
The truth!
10
M_1
-951.49
M_2
-152.84
M_3
2,364.78
mL1
2,526.45
mL3
3,112.84
mE1
3,275.29
mE3
3,631.73
mQ1
3,535.32
mQ3
3,297.64
mU1
434.91
mU3
3,178.42
mD1
2,354.92
mD3
3,656.91
At
2,152.46
Ab
984.13
Atau
-2,000.98
mu
-168.36
mA
2,273.90
tan(beta)
30.48
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