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
-3,495.34
M_2
-3,190.42
M_3
1,098.00
mL1
3,703.35
mL3
2,214.11
mE1
3,730.63
mE3
1,501.17
mQ1
2,266.23
mQ3
481.82
mU1
2,114.30
mU3
3,843.43
mD1
2,285.38
mD3
3,709.68
At
-3,346.83
Ab
-3,644.70
Atau
3,831.99
mu
-516.86
mA
2,640.77
tan(beta)
10.59
The truth!
2
M_1
1,990.45
M_2
-3,137.93
M_3
2,619.71
mL1
2,252.27
mL3
562.59
mE1
3,390.20
mE3
2,160.68
mQ1
2,530.23
mQ3
3,458.20
mU1
1,598.16
mU3
1,545.99
mD1
906.08
mD3
2,504.97
At
2,857.13
Ab
1,805.77
Atau
225.47
mu
232.34
mA
3,576.24
tan(beta)
59.04
The truth!
3
M_1
2,824.18
M_2
620.17
M_3
3,718.26
mL1
1,786.79
mL3
2,837.80
mE1
3,664.51
mE3
2,612.23
mQ1
709.37
mQ3
3,271.19
mU1
1,446.29
mU3
1,269.98
mD1
3,784.86
mD3
1,727.20
At
2,869.91
Ab
2,586.61
Atau
1,697.61
mu
-2,749.57
mA
3,358.80
tan(beta)
19.88
The truth!
4
M_1
3,214.35
M_2
1,873.11
M_3
494.51
mL1
536.32
mL3
2,852.29
mE1
892.34
mE3
484.03
mQ1
1,289.47
mQ3
1,962.68
mU1
1,134.59
mU3
2,071.01
mD1
1,971.44
mD3
1,115.29
At
-3,433.38
Ab
496.37
Atau
2,538.56
mu
329.62
mA
901.38
tan(beta)
10.18
The truth!
5
M_1
-2,093.64
M_2
3,393.52
M_3
3,151.40
mL1
325.05
mL3
3,810.56
mE1
1,255.14
mE3
1,114.12
mQ1
2,976.75
mQ3
2,298.77
mU1
3,406.58
mU3
3,893.81
mD1
2,145.08
mD3
1,808.55
At
3,535.62
Ab
1,072.95
Atau
1,324.43
mu
-250.03
mA
3,829.06
tan(beta)
26.68
The truth!
6
M_1
2,826.78
M_2
-519.57
M_3
2,203.97
mL1
821.52
mL3
1,243.05
mE1
2,838.82
mE3
1,442.63
mQ1
2,021.37
mQ3
3,431.84
mU1
3,705.25
mU3
2,964.83
mD1
908.69
mD3
3,556.40
At
2,517.63
Ab
1,101.80
Atau
-637.57
mu
194.09
mA
2,653.26
tan(beta)
38.01
The truth!
7
M_1
56.53
M_2
-3,488.08
M_3
2,285.20
mL1
1,089.53
mL3
3,842.48
mE1
2,639.78
mE3
1,124.65
mQ1
1,901.94
mQ3
1,664.39
mU1
1,623.25
mU3
2,557.87
mD1
2,238.70
mD3
2,234.34
At
-5,918.81
Ab
945.59
Atau
909.65
mu
152.24
mA
1,706.72
tan(beta)
20.34
The truth!
8
M_1
3,109.69
M_2
-112.56
M_3
2,752.52
mL1
228.21
mL3
2,953.57
mE1
1,327.25
mE3
2,823.67
mQ1
1,087.28
mQ3
1,534.41
mU1
2,788.02
mU3
2,582.24
mD1
2,560.56
mD3
2,543.42
At
3,057.94
Ab
-3,247.85
Atau
1,644.12
mu
-1,519.34
mA
3,615.08
tan(beta)
23.06
The truth!
9
M_1
3,503.87
M_2
-1,336.33
M_3
3,548.05
mL1
473.41
mL3
2,910.29
mE1
2,611.65
mE3
833.27
mQ1
3,964.90
mQ3
2,704.21
mU1
2,653.79
mU3
3,576.04
mD1
3,696.49
mD3
3,267.63
At
3,159.09
Ab
-3,469.17
Atau
280.66
mu
321.56
mA
2,253.37
tan(beta)
34.52
The truth!
10
M_1
573.24
M_2
-2,164.76
M_3
1,754.22
mL1
2,695.57
mL3
3,663.27
mE1
873.54
mE3
2,570.26
mQ1
474.06
mQ3
1,221.28
mU1
2,537.83
mU3
2,401.02
mD1
1,584.31
mD3
3,989.33
At
-4,220.27
Ab
-1,244.12
Atau
-2,264.13
mu
3,223.13
mA
2,281.73
tan(beta)
28.17
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