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
674.35
M_2
-1,083.19
M_3
2,210.56
mL1
988.87
mL3
3,543.65
mE1
1,838.58
mE3
2,669.07
mQ1
3,284.32
mQ3
642.21
mU1
1,958.45
mU3
3,737.74
mD1
2,925.56
mD3
863.05
At
-3,722.51
Ab
729.12
Atau
-355.69
mu
1,034.02
mA
1,430.60
tan(beta)
5.22
The truth!
2
M_1
-277.10
M_2
-922.48
M_3
1,533.30
mL1
282.80
mL3
1,950.28
mE1
2,806.69
mE3
3,948.37
mQ1
3,908.85
mQ3
3,578.11
mU1
858.96
mU3
3,207.62
mD1
1,089.08
mD3
174.16
At
3,029.58
Ab
205.71
Atau
1,461.17
mu
200.91
mA
3,066.51
tan(beta)
22.76
The truth!
3
M_1
-442.61
M_2
1,559.92
M_3
1,387.40
mL1
1,543.72
mL3
547.33
mE1
1,228.45
mE3
562.69
mQ1
337.18
mQ3
1,353.62
mU1
699.86
mU3
1,647.11
mD1
3,025.78
mD3
1,380.44
At
2,442.88
Ab
-2,417.26
Atau
-3,954.72
mu
1,161.34
mA
2,630.14
tan(beta)
27.73
The truth!
4
M_1
-3,727.15
M_2
-3,353.75
M_3
2,203.87
mL1
1,841.84
mL3
2,144.72
mE1
2,236.52
mE3
3,621.93
mQ1
1,395.94
mQ3
1,129.52
mU1
3,191.39
mU3
2,354.80
mD1
2,639.28
mD3
2,489.77
At
-4,047.21
Ab
-665.56
Atau
-3,004.68
mu
-754.46
mA
2,615.65
tan(beta)
7.90
The truth!
5
M_1
370.57
M_2
2,549.35
M_3
341.47
mL1
3,067.90
mL3
702.85
mE1
3,944.66
mE3
3,211.03
mQ1
2,591.50
mQ3
295.97
mU1
1,977.40
mU3
2,825.50
mD1
1,699.73
mD3
555.58
At
-2,578.07
Ab
-3,125.17
Atau
-353.12
mu
919.79
mA
1,887.97
tan(beta)
18.69
The truth!
6
M_1
1,380.61
M_2
3,411.48
M_3
386.62
mL1
3,925.03
mL3
1,601.91
mE1
1,327.68
mE3
3,993.63
mQ1
1,685.98
mQ3
2,687.65
mU1
1,667.95
mU3
3,593.33
mD1
3,224.31
mD3
2,101.53
At
3,352.48
Ab
1,822.55
Atau
2,953.57
mu
-142.14
mA
2,797.02
tan(beta)
49.03
The truth!
7
M_1
-1,848.39
M_2
248.45
M_3
3,256.19
mL1
3,452.07
mL3
3,410.46
mE1
3,724.15
mE3
2,412.66
mQ1
3,258.17
mQ3
3,193.36
mU1
932.03
mU3
2,270.06
mD1
3,938.15
mD3
2,911.53
At
-2,910.88
Ab
2,178.07
Atau
-199.52
mu
-931.95
mA
3,625.84
tan(beta)
53.29
The truth!
8
M_1
2,717.88
M_2
498.90
M_3
3,966.22
mL1
3,791.47
mL3
3,423.96
mE1
3,674.92
mE3
2,106.28
mQ1
1,448.05
mQ3
2,406.42
mU1
1,431.62
mU3
3,933.26
mD1
854.50
mD3
3,317.25
At
-3,138.41
Ab
91.96
Atau
1,435.90
mu
592.26
mA
2,587.32
tan(beta)
21.65
The truth!
9
M_1
885.55
M_2
2,824.41
M_3
1,038.57
mL1
1,389.15
mL3
3,324.90
mE1
2,478.71
mE3
1,210.33
mQ1
2,218.02
mQ3
797.94
mU1
3,300.86
mU3
3,215.18
mD1
2,950.45
mD3
2,645.41
At
-3,823.19
Ab
3,061.24
Atau
-3,751.24
mu
-1,369.40
mA
3,484.65
tan(beta)
9.37
The truth!
10
M_1
-1,306.96
M_2
1,034.05
M_3
3,298.05
mL1
983.63
mL3
3,134.35
mE1
3,328.48
mE3
2,442.53
mQ1
2,611.46
mQ3
2,944.19
mU1
949.10
mU3
1,630.25
mD1
3,025.87
mD3
1,214.50
At
-3,965.62
Ab
2,100.22
Atau
2,741.28
mu
-768.65
mA
3,433.78
tan(beta)
9.68
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