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
-402.19
M_2
-1,460.12
M_3
1,798.95
mL1
3,875.62
mL3
2,376.12
mE1
2,712.11
mE3
1,740.00
mQ1
1,583.41
mQ3
1,751.98
mU1
2,590.26
mU3
3,269.15
mD1
504.44
mD3
371.07
At
-3,716.76
Ab
-1,249.47
Atau
1,271.01
mu
454.19
mA
661.69
tan(beta)
19.59
The truth!
2
M_1
538.18
M_2
587.30
M_3
3,341.24
mL1
1,759.69
mL3
2,111.10
mE1
1,969.25
mE3
2,082.61
mQ1
2,796.97
mQ3
2,255.88
mU1
3,111.95
mU3
3,040.37
mD1
963.41
mD3
883.73
At
3,143.42
Ab
-1,778.81
Atau
651.46
mu
-604.64
mA
1,746.32
tan(beta)
55.90
The truth!
3
M_1
346.83
M_2
-1,002.07
M_3
3,824.80
mL1
2,769.16
mL3
3,559.74
mE1
1,980.90
mE3
1,230.41
mQ1
2,922.19
mQ3
3,057.64
mU1
2,942.28
mU3
3,536.20
mD1
2,121.64
mD3
2,766.11
At
-2,762.27
Ab
-3,159.96
Atau
1,706.35
mu
340.31
mA
1,001.32
tan(beta)
35.37
The truth!
4
M_1
-2,353.15
M_2
3,071.81
M_3
3,492.44
mL1
3,860.21
mL3
2,041.80
mE1
2,123.97
mE3
2,186.24
mQ1
3,926.11
mQ3
2,972.61
mU1
952.42
mU3
2,645.08
mD1
2,555.23
mD3
861.92
At
-3,401.82
Ab
448.85
Atau
-2,458.35
mu
689.55
mA
2,358.02
tan(beta)
22.53
The truth!
5
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!
6
M_1
-3,010.78
M_2
1,515.67
M_3
2,618.70
mL1
2,283.99
mL3
1,647.85
mE1
1,379.49
mE3
1,312.71
mQ1
3,806.36
mQ3
1,872.40
mU1
2,798.33
mU3
2,113.97
mD1
1,724.54
mD3
665.69
At
2,515.65
Ab
2,348.36
Atau
286.22
mu
235.33
mA
3,656.12
tan(beta)
43.05
The truth!
7
M_1
-2,581.33
M_2
359.93
M_3
3,119.93
mL1
3,419.13
mL3
3,099.08
mE1
1,255.93
mE3
2,303.87
mQ1
1,275.71
mQ3
805.80
mU1
994.63
mU3
1,519.15
mD1
1,183.47
mD3
2,949.87
At
2,065.25
Ab
-2,599.94
Atau
1,877.87
mu
2,080.88
mA
3,976.83
tan(beta)
44.60
The truth!
8
M_1
-1,261.17
M_2
857.87
M_3
2,748.89
mL1
1,935.87
mL3
2,777.66
mE1
3,873.57
mE3
3,520.28
mQ1
3,766.33
mQ3
785.92
mU1
744.89
mU3
2,643.06
mD1
1,025.75
mD3
2,050.22
At
2,600.48
Ab
2,803.11
Atau
-1,574.40
mu
-241.59
mA
3,201.24
tan(beta)
29.41
The truth!
9
M_1
-580.54
M_2
3,786.67
M_3
493.40
mL1
1,236.48
mL3
2,572.12
mE1
2,461.82
mE3
2,160.70
mQ1
2,751.71
mQ3
2,694.35
mU1
3,085.18
mU3
3,788.01
mD1
1,606.42
mD3
2,583.11
At
3,114.80
Ab
2,808.73
Atau
-7.42
mu
-2,961.07
mA
1,862.90
tan(beta)
44.61
The truth!
10
M_1
-3,743.13
M_2
276.46
M_3
567.38
mL1
2,512.49
mL3
1,457.12
mE1
2,307.29
mE3
2,769.39
mQ1
3,088.40
mQ3
1,718.22
mU1
1,836.93
mU3
2,732.55
mD1
3,494.11
mD3
2,441.96
At
-3,764.48
Ab
-2,003.00
Atau
-529.03
mu
3,112.82
mA
3,308.19
tan(beta)
10.34
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