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
1,687.29
M_2
-2,337.64
M_3
2,568.23
mL1
414.36
mL3
3,093.63
mE1
1,162.19
mE3
1,993.27
mQ1
3,294.57
mQ3
2,965.23
mU1
612.97
mU3
1,861.95
mD1
3,577.30
mD3
394.58
At
2,884.88
Ab
-2,932.37
Atau
2,902.65
mu
160.67
mA
1,510.66
tan(beta)
52.61
The truth!
2
M_1
2,761.41
M_2
787.76
M_3
2,477.35
mL1
2,331.65
mL3
2,943.11
mE1
3,401.77
mE3
2,466.80
mQ1
1,426.94
mQ3
2,907.25
mU1
3,399.42
mU3
2,976.77
mD1
3,855.40
mD3
2,137.79
At
4,170.04
Ab
-3,840.83
Atau
-303.55
mu
-1,251.96
mA
3,751.49
tan(beta)
40.68
The truth!
3
M_1
781.14
M_2
746.06
M_3
3,325.70
mL1
833.91
mL3
1,151.32
mE1
3,498.20
mE3
2,305.71
mQ1
3,482.65
mQ3
2,883.60
mU1
2,236.28
mU3
3,006.51
mD1
1,699.67
mD3
2,322.25
At
-4,376.65
Ab
-3,404.06
Atau
1,848.51
mu
2,408.48
mA
2,480.26
tan(beta)
13.67
The truth!
4
M_1
42.66
M_2
-533.61
M_3
1,995.79
mL1
485.17
mL3
2,505.16
mE1
963.03
mE3
2,260.26
mQ1
666.26
mQ3
1,910.73
mU1
1,289.53
mU3
3,621.01
mD1
1,534.85
mD3
2,577.04
At
3,967.67
Ab
2,588.85
Atau
-3,816.80
mu
-148.63
mA
813.88
tan(beta)
4.88
The truth!
5
M_1
-1,785.11
M_2
950.24
M_3
834.69
mL1
3,261.94
mL3
1,741.09
mE1
1,842.61
mE3
1,020.77
mQ1
211.73
mQ3
1,347.75
mU1
656.39
mU3
1,194.04
mD1
3,832.55
mD3
923.08
At
-2,514.02
Ab
-1,336.92
Atau
-1,691.60
mu
-200.91
mA
995.61
tan(beta)
8.66
The truth!
6
M_1
656.31
M_2
1,036.19
M_3
3,381.43
mL1
3,993.37
mL3
3,667.37
mE1
2,320.59
mE3
1,108.85
mQ1
1,580.03
mQ3
3,759.14
mU1
3,955.50
mU3
3,069.70
mD1
3,246.24
mD3
2,075.24
At
-7,087.96
Ab
2,618.19
Atau
2,828.64
mu
-304.25
mA
2,080.76
tan(beta)
3.49
The truth!
7
M_1
-3,954.46
M_2
792.35
M_3
3,202.14
mL1
3,570.40
mL3
3,420.52
mE1
748.03
mE3
2,592.79
mQ1
2,470.83
mQ3
1,726.61
mU1
2,422.48
mU3
3,676.99
mD1
653.15
mD3
3,742.51
At
2,400.83
Ab
-720.82
Atau
-1,268.51
mu
690.41
mA
3,791.59
tan(beta)
44.47
The truth!
8
M_1
-1,779.39
M_2
136.97
M_3
2,258.70
mL1
3,528.61
mL3
851.48
mE1
1,523.68
mE3
1,501.65
mQ1
2,662.31
mQ3
3,834.33
mU1
1,354.91
mU3
3,359.29
mD1
1,147.54
mD3
2,738.35
At
3,714.59
Ab
1,117.08
Atau
-263.07
mu
-673.92
mA
1,733.71
tan(beta)
32.83
The truth!
9
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!
10
M_1
-653.82
M_2
2,262.34
M_3
1,548.92
mL1
2,224.70
mL3
1,563.70
mE1
3,852.98
mE3
1,025.25
mQ1
2,898.35
mQ3
3,032.42
mU1
2,222.91
mU3
1,660.81
mD1
1,778.67
mD3
3,613.70
At
3,227.33
Ab
-3,346.49
Atau
2,241.86
mu
-731.54
mA
1,207.88
tan(beta)
15.69
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