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
-792.64
M_2
1,532.52
M_3
3,277.87
mL1
3,235.81
mL3
3,441.85
mE1
1,007.28
mE3
1,483.49
mQ1
3,323.29
mQ3
1,352.30
mU1
2,079.68
mU3
2,888.90
mD1
2,801.51
mD3
1,475.25
At
3,033.15
Ab
-418.44
Atau
-2,721.83
mu
610.77
mA
3,318.55
tan(beta)
20.14
The truth!
2
M_1
-326.54
M_2
3,859.85
M_3
2,719.63
mL1
3,463.70
mL3
3,457.39
mE1
3,725.64
mE3
2,081.75
mQ1
2,411.08
mQ3
2,683.05
mU1
3,367.44
mU3
3,228.86
mD1
3,936.17
mD3
2,690.05
At
-3,015.07
Ab
2,047.24
Atau
-1,899.09
mu
-118.56
mA
704.54
tan(beta)
29.89
The truth!
3
M_1
-1,848.39
M_2
248.45
M_3
3,256.19
mL1
3,452.07
mL3
3,410.46
mE1
3,724.15
mE3
2,412.66
mQ1
3,258.17
mQ3
3,193.36
mU1
932.03
mU3
2,270.06
mD1
3,938.15
mD3
2,911.53
At
-2,910.88
Ab
2,178.07
Atau
-199.52
mu
-931.95
mA
3,625.84
tan(beta)
53.29
The truth!
4
M_1
-3,978.90
M_2
-405.11
M_3
1,550.73
mL1
2,179.95
mL3
2,442.65
mE1
805.20
mE3
3,524.21
mQ1
3,603.67
mQ3
1,600.05
mU1
2,424.76
mU3
3,456.94
mD1
1,649.38
mD3
1,344.54
At
-2,669.07
Ab
3,666.82
Atau
1,422.79
mu
2,169.99
mA
1,576.90
tan(beta)
20.20
The truth!
5
M_1
-3,978.61
M_2
2,525.41
M_3
2,484.27
mL1
1,621.52
mL3
3,489.10
mE1
3,449.24
mE3
1,189.12
mQ1
353.29
mQ3
2,820.79
mU1
2,123.07
mU3
1,984.04
mD1
1,077.66
mD3
1,442.88
At
4,210.92
Ab
-2,967.04
Atau
2,775.79
mu
-201.33
mA
2,323.92
tan(beta)
8.53
The truth!
6
M_1
-531.42
M_2
-732.30
M_3
441.50
mL1
3,697.74
mL3
2,421.12
mE1
663.74
mE3
1,801.67
mQ1
1,212.04
mQ3
2,720.60
mU1
3,073.98
mU3
2,485.81
mD1
1,134.70
mD3
3,962.42
At
-3,402.55
Ab
1,719.71
Atau
1,692.18
mu
1,296.09
mA
2,743.69
tan(beta)
15.41
The truth!
7
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!
8
M_1
-448.46
M_2
976.00
M_3
3,977.84
mL1
1,568.25
mL3
458.26
mE1
652.37
mE3
480.77
mQ1
1,679.68
mQ3
3,883.20
mU1
3,134.64
mU3
3,004.99
mD1
3,104.71
mD3
1,231.09
At
-3,207.87
Ab
102.32
Atau
3,156.91
mu
431.52
mA
2,747.59
tan(beta)
23.40
The truth!
9
M_1
-2,624.64
M_2
-1,186.35
M_3
1,397.56
mL1
3,642.51
mL3
1,198.77
mE1
2,485.66
mE3
3,635.98
mQ1
3,662.14
mQ3
1,493.33
mU1
3,970.01
mU3
3,814.73
mD1
3,451.76
mD3
1,047.92
At
3,639.13
Ab
2,419.89
Atau
70.32
mu
920.16
mA
2,902.84
tan(beta)
31.91
The truth!
10
M_1
-740.66
M_2
3,612.59
M_3
3,982.16
mL1
2,771.25
mL3
2,718.49
mE1
2,282.71
mE3
2,986.50
mQ1
1,893.00
mQ3
3,782.87
mU1
3,926.98
mU3
2,709.69
mD1
476.66
mD3
1,460.18
At
3,607.38
Ab
-1,093.99
Atau
-1,838.38
mu
-1,380.74
mA
2,201.21
tan(beta)
56.12
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