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
-344.46
M_2
2,743.44
M_3
3,947.38
mL1
671.63
mL3
1,863.00
mE1
3,949.76
mE3
345.90
mQ1
837.65
mQ3
2,581.21
mU1
3,815.78
mU3
1,565.26
mD1
1,189.66
mD3
2,744.18
At
3,568.70
Ab
-2,555.74
Atau
-779.63
mu
-1,412.57
mA
1,758.26
tan(beta)
25.15
The truth!
2
M_1
733.26
M_2
2,571.51
M_3
2,202.05
mL1
2,366.54
mL3
1,555.03
mE1
559.65
mE3
3,417.81
mQ1
3,117.40
mQ3
2,878.45
mU1
251.54
mU3
2,084.11
mD1
2,718.46
mD3
2,879.72
At
2,937.06
Ab
3,610.81
Atau
-2,901.24
mu
170.75
mA
2,932.04
tan(beta)
45.91
The truth!
3
M_1
645.39
M_2
-3,520.54
M_3
2,997.82
mL1
1,765.08
mL3
1,939.26
mE1
717.73
mE3
1,894.44
mQ1
2,434.22
mQ3
1,805.40
mU1
3,556.24
mU3
2,030.84
mD1
1,932.02
mD3
3,330.44
At
3,475.98
Ab
13.15
Atau
-718.02
mu
-853.31
mA
1,281.19
tan(beta)
7.26
The truth!
4
M_1
-752.80
M_2
-3,798.70
M_3
2,592.46
mL1
2,713.68
mL3
1,047.01
mE1
1,646.64
mE3
2,316.10
mQ1
2,310.10
mQ3
2,099.94
mU1
3,311.04
mU3
995.64
mD1
759.58
mD3
3,717.27
At
2,924.08
Ab
524.34
Atau
2,049.35
mu
-1,133.81
mA
983.96
tan(beta)
28.52
The truth!
5
M_1
-2,456.34
M_2
-3,052.75
M_3
2,280.31
mL1
598.76
mL3
3,228.96
mE1
3,808.93
mE3
3,427.57
mQ1
2,667.48
mQ3
1,447.16
mU1
1,718.75
mU3
3,375.21
mD1
3,987.90
mD3
3,312.59
At
-3,028.80
Ab
-2,076.17
Atau
3,377.99
mu
177.82
mA
2,391.63
tan(beta)
57.95
The truth!
6
M_1
1,519.37
M_2
3,176.22
M_3
1,395.58
mL1
1,095.31
mL3
1,806.59
mE1
2,010.69
mE3
1,436.97
mQ1
1,085.03
mQ3
3,511.42
mU1
1,396.87
mU3
2,702.83
mD1
1,201.12
mD3
2,779.88
At
-4,728.73
Ab
-2,478.74
Atau
-3,640.23
mu
591.29
mA
3,547.43
tan(beta)
27.92
The truth!
7
M_1
-998.90
M_2
-969.30
M_3
2,345.98
mL1
1,041.93
mL3
3,204.07
mE1
3,235.99
mE3
3,201.77
mQ1
3,925.68
mQ3
1,197.86
mU1
2,367.63
mU3
2,802.83
mD1
2,751.35
mD3
3,149.29
At
-5,714.37
Ab
-1,102.47
Atau
-2,459.04
mu
2,656.69
mA
2,231.08
tan(beta)
23.26
The truth!
8
M_1
2,539.25
M_2
2,562.99
M_3
3,285.09
mL1
390.77
mL3
513.49
mE1
3,466.22
mE3
3,260.93
mQ1
739.06
mQ3
3,839.29
mU1
2,702.28
mU3
2,950.69
mD1
3,789.84
mD3
3,689.78
At
-3,163.19
Ab
-1,357.81
Atau
-487.13
mu
-248.95
mA
2,927.66
tan(beta)
57.44
The truth!
9
M_1
-196.96
M_2
-768.86
M_3
2,825.84
mL1
2,392.23
mL3
3,715.05
mE1
3,732.17
mE3
791.36
mQ1
1,997.35
mQ3
3,250.52
mU1
2,951.69
mU3
2,964.18
mD1
1,159.73
mD3
1,707.48
At
2,840.30
Ab
3,191.66
Atau
-2,077.47
mu
-232.81
mA
2,983.45
tan(beta)
50.25
The truth!
10
M_1
403.23
M_2
-1,707.19
M_3
2,907.42
mL1
1,156.99
mL3
2,170.41
mE1
3,291.67
mE3
1,160.94
mQ1
3,522.22
mQ3
1,051.65
mU1
378.03
mU3
2,441.32
mD1
3,254.62
mD3
1,951.95
At
-2,900.02
Ab
-862.99
Atau
3,927.64
mu
-240.01
mA
3,712.77
tan(beta)
35.56
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