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
-3,971.82
M_2
1,106.45
M_3
2,330.51
mL1
3,855.51
mL3
2,093.53
mE1
3,649.75
mE3
1,886.72
mQ1
1,408.99
mQ3
1,848.70
mU1
3,140.38
mU3
1,618.44
mD1
1,728.85
mD3
1,713.34
At
-2,812.92
Ab
801.53
Atau
3,852.96
mu
2,304.26
mA
1,180.07
tan(beta)
25.41
The truth!
2
M_1
580.97
M_2
576.35
M_3
1,173.44
mL1
2,151.42
mL3
1,402.04
mE1
1,425.11
mE3
3,034.46
mQ1
820.95
mQ3
3,792.50
mU1
2,746.58
mU3
3,274.16
mD1
3,123.54
mD3
2,712.35
At
4,475.52
Ab
109.82
Atau
-3,396.91
mu
-1,728.06
mA
429.52
tan(beta)
13.44
The truth!
3
M_1
3,607.98
M_2
336.16
M_3
3,029.08
mL1
3,712.48
mL3
2,065.58
mE1
565.82
mE3
2,855.74
mQ1
3,649.12
mQ3
3,716.65
mU1
3,578.96
mU3
1,755.48
mD1
2,209.94
mD3
3,340.33
At
-3,961.35
Ab
-3,908.39
Atau
-2,100.56
mu
1,668.12
mA
1,794.68
tan(beta)
17.34
The truth!
4
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!
5
M_1
-191.00
M_2
168.12
M_3
3,971.83
mL1
3,973.19
mL3
1,106.99
mE1
3,564.43
mE3
1,248.20
mQ1
3,165.39
mQ3
3,220.96
mU1
303.53
mU3
3,639.30
mD1
1,929.28
mD3
1,324.80
At
4,783.20
Ab
-1,273.97
Atau
1,007.27
mu
3,293.70
mA
3,553.54
tan(beta)
8.42
The truth!
6
M_1
2,230.84
M_2
2,902.14
M_3
3,421.47
mL1
3,607.59
mL3
3,435.10
mE1
2,010.74
mE3
1,838.86
mQ1
3,282.74
mQ3
3,936.11
mU1
1,346.50
mU3
1,594.31
mD1
332.08
mD3
2,681.68
At
4,040.21
Ab
2,263.39
Atau
-1,404.53
mu
-290.01
mA
927.27
tan(beta)
23.78
The truth!
7
M_1
3,880.34
M_2
-271.18
M_3
3,612.13
mL1
2,841.21
mL3
390.77
mE1
2,737.34
mE3
3,174.63
mQ1
2,532.57
mQ3
2,228.61
mU1
3,368.29
mU3
3,786.79
mD1
3,757.35
mD3
3,029.21
At
-3,338.00
Ab
3,494.05
Atau
1,125.66
mu
-324.04
mA
3,836.61
tan(beta)
18.97
The truth!
8
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!
9
M_1
-3,381.98
M_2
-346.44
M_3
1,569.47
mL1
3,899.66
mL3
1,391.27
mE1
2,733.89
mE3
3,790.67
mQ1
1,646.31
mQ3
2,782.82
mU1
406.36
mU3
3,297.27
mD1
1,073.90
mD3
1,989.25
At
-4,364.95
Ab
-3,916.45
Atau
-2,821.64
mu
3,355.93
mA
3,368.31
tan(beta)
25.95
The truth!
10
M_1
-3,064.51
M_2
-612.83
M_3
3,397.95
mL1
2,423.87
mL3
1,088.83
mE1
2,942.96
mE3
698.84
mQ1
2,612.05
mQ3
1,337.21
mU1
3,551.92
mU3
1,900.98
mD1
3,357.51
mD3
1,378.91
At
2,781.16
Ab
-3,677.93
Atau
278.75
mu
-1,571.33
mA
2,628.33
tan(beta)
11.53
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