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
-801.05
M_2
-438.64
M_3
2,499.99
mL1
3,732.82
mL3
498.06
mE1
2,387.80
mE3
1,358.52
mQ1
2,767.27
mQ3
1,879.59
mU1
1,017.71
mU3
3,698.87
mD1
1,311.90
mD3
2,109.75
At
-3,240.97
Ab
1,489.20
Atau
-897.77
mu
2,794.18
mA
3,349.78
tan(beta)
29.30
The truth!
2
M_1
-501.08
M_2
1,978.39
M_3
2,774.62
mL1
1,473.18
mL3
2,557.75
mE1
1,863.09
mE3
2,259.30
mQ1
3,077.22
mQ3
777.15
mU1
2,752.12
mU3
3,606.04
mD1
2,907.67
mD3
493.81
At
2,632.37
Ab
-2,449.17
Atau
-3,205.95
mu
-513.44
mA
1,882.02
tan(beta)
15.40
The truth!
3
M_1
2,914.03
M_2
-509.06
M_3
3,940.37
mL1
1,239.04
mL3
2,932.30
mE1
2,610.01
mE3
2,047.21
mQ1
2,236.36
mQ3
2,920.00
mU1
1,614.68
mU3
3,064.24
mD1
476.07
mD3
1,051.37
At
-3,782.73
Ab
-420.19
Atau
2,902.25
mu
774.14
mA
1,409.97
tan(beta)
36.19
The truth!
4
M_1
1,087.47
M_2
-996.82
M_3
3,346.24
mL1
447.25
mL3
2,876.04
mE1
3,320.73
mE3
889.37
mQ1
2,490.76
mQ3
2,227.36
mU1
2,179.22
mU3
3,094.54
mD1
1,375.33
mD3
3,559.61
At
-2,952.77
Ab
2,336.25
Atau
1,874.42
mu
416.58
mA
1,074.58
tan(beta)
22.70
The truth!
5
M_1
436.73
M_2
-434.77
M_3
2,831.26
mL1
2,118.70
mL3
2,983.03
mE1
2,268.81
mE3
3,483.47
mQ1
435.92
mQ3
2,027.31
mU1
3,153.99
mU3
1,408.64
mD1
2,641.30
mD3
3,606.55
At
-2,751.35
Ab
-3,285.64
Atau
-2,556.24
mu
2,831.22
mA
654.64
tan(beta)
13.78
The truth!
6
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!
7
M_1
2,036.55
M_2
751.78
M_3
1,041.18
mL1
1,581.45
mL3
624.62
mE1
1,066.00
mE3
1,187.71
mQ1
1,364.26
mQ3
2,015.17
mU1
3,483.13
mU3
1,867.48
mD1
1,473.60
mD3
3,985.56
At
-2,729.25
Ab
-1,291.91
Atau
1,857.35
mu
296.13
mA
2,094.62
tan(beta)
33.35
The truth!
8
M_1
313.57
M_2
-3,397.21
M_3
2,255.33
mL1
2,690.77
mL3
3,486.13
mE1
1,675.64
mE3
3,072.44
mQ1
1,781.79
mQ3
1,093.19
mU1
2,989.39
mU3
767.35
mD1
508.91
mD3
1,914.71
At
2,111.30
Ab
-1,024.59
Atau
3,764.03
mu
2,003.24
mA
2,713.47
tan(beta)
14.81
The truth!
9
M_1
-294.64
M_2
-291.70
M_3
3,516.29
mL1
2,083.54
mL3
3,970.02
mE1
502.36
mE3
3,232.52
mQ1
2,304.63
mQ3
1,877.10
mU1
3,271.68
mU3
3,770.29
mD1
3,137.85
mD3
1,465.31
At
-3,636.04
Ab
817.64
Atau
2,261.59
mu
-1,001.07
mA
3,430.80
tan(beta)
24.89
The truth!
10
M_1
-951.49
M_2
-152.84
M_3
2,364.78
mL1
2,526.45
mL3
3,112.84
mE1
3,275.29
mE3
3,631.73
mQ1
3,535.32
mQ3
3,297.64
mU1
434.91
mU3
3,178.42
mD1
2,354.92
mD3
3,656.91
At
2,152.46
Ab
984.13
Atau
-2,000.98
mu
-168.36
mA
2,273.90
tan(beta)
30.48
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