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
455.78
M_2
-1,831.62
M_3
1,997.02
mL1
617.54
mL3
497.64
mE1
1,690.52
mE3
1,494.55
mQ1
3,271.71
mQ3
2,072.41
mU1
2,239.64
mU3
1,650.31
mD1
301.17
mD3
2,830.30
At
-3,033.11
Ab
-2,353.11
Atau
-699.04
mu
1,459.76
mA
3,047.65
tan(beta)
23.89
The truth!
2
M_1
-63.55
M_2
-803.67
M_3
3,586.44
mL1
1,342.52
mL3
3,440.22
mE1
1,493.26
mE3
3,776.00
mQ1
633.97
mQ3
2,373.71
mU1
1,223.39
mU3
3,174.14
mD1
2,738.54
mD3
285.24
At
3,156.05
Ab
-544.16
Atau
-236.14
mu
-518.03
mA
2,576.24
tan(beta)
16.67
The truth!
3
M_1
-783.13
M_2
-1,151.25
M_3
645.63
mL1
2,194.12
mL3
3,498.29
mE1
3,265.96
mE3
2,102.64
mQ1
3,483.71
mQ3
2,764.28
mU1
2,120.05
mU3
2,842.84
mD1
1,385.54
mD3
3,166.52
At
-4,140.40
Ab
2,446.20
Atau
1,995.17
mu
2,411.00
mA
2,132.17
tan(beta)
20.78
The truth!
4
M_1
2,518.19
M_2
623.56
M_3
2,258.95
mL1
653.67
mL3
781.05
mE1
1,452.28
mE3
876.66
mQ1
554.48
mQ3
2,894.62
mU1
2,981.57
mU3
1,730.65
mD1
3,831.28
mD3
2,832.60
At
2,974.84
Ab
3,258.66
Atau
222.78
mu
-3,005.12
mA
3,781.31
tan(beta)
28.72
The truth!
5
M_1
595.43
M_2
3,048.58
M_3
1,901.09
mL1
3,783.60
mL3
1,978.43
mE1
2,748.64
mE3
3,876.94
mQ1
1,760.94
mQ3
1,043.78
mU1
2,367.20
mU3
1,987.63
mD1
3,191.13
mD3
3,968.89
At
3,429.48
Ab
-324.97
Atau
-1,627.01
mu
-2,005.24
mA
1,342.00
tan(beta)
4.90
The truth!
6
M_1
-1,320.93
M_2
-1,316.51
M_3
1,983.06
mL1
3,566.50
mL3
3,282.35
mE1
3,893.78
mE3
3,882.59
mQ1
2,114.72
mQ3
1,857.93
mU1
3,937.83
mU3
1,590.02
mD1
2,190.42
mD3
3,323.58
At
2,779.93
Ab
49.79
Atau
3,368.25
mu
-1,386.29
mA
3,727.15
tan(beta)
41.60
The truth!
7
M_1
629.92
M_2
3,466.70
M_3
825.96
mL1
2,822.36
mL3
3,066.53
mE1
1,486.91
mE3
2,414.70
mQ1
751.39
mQ3
1,686.80
mU1
1,387.43
mU3
3,760.96
mD1
3,649.31
mD3
681.67
At
-3,213.33
Ab
-445.03
Atau
539.44
mu
251.69
mA
3,405.44
tan(beta)
16.53
The truth!
8
M_1
2,550.99
M_2
-712.28
M_3
1,240.11
mL1
2,192.49
mL3
3,980.68
mE1
2,603.39
mE3
841.47
mQ1
1,492.31
mQ3
3,923.24
mU1
3,959.02
mU3
3,508.01
mD1
674.72
mD3
2,371.90
At
4,164.71
Ab
1,790.58
Atau
-760.32
mu
-2,504.10
mA
2,493.47
tan(beta)
39.19
The truth!
9
M_1
-771.98
M_2
3,104.28
M_3
635.67
mL1
1,136.26
mL3
3,194.62
mE1
2,455.23
mE3
1,026.54
mQ1
2,273.97
mQ3
1,872.39
mU1
3,230.92
mU3
3,763.96
mD1
2,337.27
mD3
982.27
At
-6,132.60
Ab
1,345.35
Atau
-3,311.07
mu
-2,352.22
mA
2,718.70
tan(beta)
5.19
The truth!
10
M_1
279.46
M_2
330.11
M_3
503.78
mL1
3,944.14
mL3
3,260.77
mE1
1,867.41
mE3
557.60
mQ1
1,716.76
mQ3
3,550.74
mU1
881.36
mU3
2,257.23
mD1
2,417.21
mD3
2,234.34
At
-2,652.87
Ab
2,688.75
Atau
949.21
mu
308.27
mA
2,297.46
tan(beta)
10.30
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