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
-313.91
M_2
-1,171.24
M_3
2,408.60
mL1
3,815.95
mL3
2,175.31
mE1
508.21
mE3
2,238.52
mQ1
1,923.87
mQ3
1,980.39
mU1
261.75
mU3
3,161.02
mD1
2,873.87
mD3
202.94
At
-6,323.16
Ab
-1,092.21
Atau
417.46
mu
2,565.08
mA
666.92
tan(beta)
6.28
The truth!
2
M_1
-733.27
M_2
1,218.15
M_3
2,207.26
mL1
2,632.69
mL3
3,009.19
mE1
1,992.56
mE3
3,694.23
mQ1
3,644.13
mQ3
3,648.38
mU1
1,591.42
mU3
3,746.71
mD1
2,254.65
mD3
499.38
At
-2,190.53
Ab
3,347.39
Atau
46.42
mu
882.91
mA
2,099.84
tan(beta)
37.85
The truth!
3
M_1
-3,113.74
M_2
-532.51
M_3
3,598.36
mL1
3,445.41
mL3
1,372.63
mE1
3,788.02
mE3
696.13
mQ1
967.53
mQ3
3,869.20
mU1
1,579.79
mU3
3,884.81
mD1
1,843.41
mD3
177.16
At
-2,166.91
Ab
-43.73
Atau
1,680.50
mu
1,068.39
mA
2,638.28
tan(beta)
13.37
The truth!
4
M_1
1,518.53
M_2
-2,880.53
M_3
3,616.77
mL1
796.43
mL3
1,732.61
mE1
3,079.72
mE3
1,042.94
mQ1
3,192.40
mQ3
3,897.99
mU1
2,058.41
mU3
1,869.50
mD1
2,979.87
mD3
3,018.18
At
4,119.91
Ab
2,368.57
Atau
-65.99
mu
418.73
mA
2,720.49
tan(beta)
37.96
The truth!
5
M_1
669.34
M_2
-2,294.23
M_3
3,225.45
mL1
709.04
mL3
3,294.01
mE1
2,456.31
mE3
2,945.69
mQ1
701.15
mQ3
3,039.70
mU1
1,717.45
mU3
3,170.81
mD1
321.37
mD3
3,651.97
At
-4,384.57
Ab
-2,274.12
Atau
2,912.91
mu
1,539.20
mA
3,810.88
tan(beta)
47.20
The truth!
6
M_1
-1,576.46
M_2
383.87
M_3
2,370.92
mL1
1,151.98
mL3
3,310.90
mE1
1,861.74
mE3
686.46
mQ1
3,732.60
mQ3
1,718.36
mU1
3,653.76
mU3
1,910.72
mD1
2,341.22
mD3
863.49
At
-2,673.05
Ab
-2,783.54
Atau
-3,965.07
mu
-149.05
mA
2,629.91
tan(beta)
12.25
The truth!
7
M_1
-788.87
M_2
763.52
M_3
3,642.76
mL1
1,712.34
mL3
1,895.21
mE1
2,645.70
mE3
2,267.57
mQ1
2,757.68
mQ3
2,492.84
mU1
3,712.51
mU3
3,098.99
mD1
1,868.19
mD3
2,835.44
At
2,795.46
Ab
-3,063.39
Atau
-937.78
mu
-1,210.77
mA
2,930.78
tan(beta)
15.87
The truth!
8
M_1
-75.38
M_2
525.98
M_3
2,043.97
mL1
897.74
mL3
3,638.81
mE1
505.93
mE3
2,428.98
mQ1
3,257.25
mQ3
3,760.75
mU1
3,707.88
mU3
2,224.58
mD1
855.11
mD3
1,171.90
At
-3,612.40
Ab
-2,361.32
Atau
-3,117.51
mu
107.38
mA
3,359.88
tan(beta)
35.43
The truth!
9
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!
10
M_1
-1,773.41
M_2
-1,722.00
M_3
3,525.12
mL1
3,366.58
mL3
2,927.78
mE1
1,081.40
mE3
3,075.39
mQ1
1,180.79
mQ3
2,287.72
mU1
1,955.22
mU3
1,785.77
mD1
2,534.08
mD3
2,245.21
At
2,633.57
Ab
-1,098.11
Atau
1,278.54
mu
304.35
mA
1,595.57
tan(beta)
37.04
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