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
-3,727.15
M_2
-3,353.75
M_3
2,203.87
mL1
1,841.84
mL3
2,144.72
mE1
2,236.52
mE3
3,621.93
mQ1
1,395.94
mQ3
1,129.52
mU1
3,191.39
mU3
2,354.80
mD1
2,639.28
mD3
2,489.77
At
-4,047.21
Ab
-665.56
Atau
-3,004.68
mu
-754.46
mA
2,615.65
tan(beta)
7.90
The truth!
3
M_1
-1,405.73
M_2
-491.11
M_3
421.18
mL1
1,262.89
mL3
669.58
mE1
582.67
mE3
1,396.05
mQ1
3,976.62
mQ3
3,748.17
mU1
3,801.87
mU3
3,798.87
mD1
3,068.08
mD3
3,255.81
At
5,684.13
Ab
3,632.09
Atau
1,809.41
mu
-1,974.16
mA
3,264.38
tan(beta)
8.59
The truth!
4
M_1
1,034.60
M_2
727.06
M_3
3,802.57
mL1
3,449.25
mL3
2,699.90
mE1
2,007.11
mE3
1,742.21
mQ1
1,932.62
mQ3
3,946.68
mU1
1,200.93
mU3
2,356.88
mD1
2,827.54
mD3
3,012.45
At
-3,562.97
Ab
1,098.82
Atau
934.88
mu
2,297.34
mA
1,417.35
tan(beta)
32.14
The truth!
5
M_1
2,146.75
M_2
-2,674.43
M_3
2,149.97
mL1
1,808.02
mL3
654.19
mE1
1,164.62
mE3
3,466.81
mQ1
3,515.68
mQ3
3,015.35
mU1
552.75
mU3
3,179.73
mD1
3,432.75
mD3
336.86
At
-5,201.46
Ab
2,269.26
Atau
391.63
mu
-235.43
mA
3,869.70
tan(beta)
11.60
The truth!
6
M_1
1,600.45
M_2
3,957.56
M_3
2,993.45
mL1
3,122.17
mL3
1,959.11
mE1
1,195.59
mE3
1,501.64
mQ1
1,314.28
mQ3
3,219.42
mU1
288.82
mU3
2,023.48
mD1
866.24
mD3
3,664.67
At
4,284.74
Ab
1,574.15
Atau
688.07
mu
486.72
mA
3,968.21
tan(beta)
52.20
The truth!
7
M_1
-3,367.47
M_2
-1,650.68
M_3
1,334.27
mL1
1,222.42
mL3
481.50
mE1
935.14
mE3
3,826.85
mQ1
3,197.21
mQ3
416.82
mU1
1,550.27
mU3
3,346.25
mD1
1,262.11
mD3
2,068.68
At
2,753.09
Ab
134.70
Atau
-394.52
mu
-459.53
mA
3,688.16
tan(beta)
7.47
The truth!
8
M_1
782.11
M_2
1,619.27
M_3
2,230.14
mL1
1,293.48
mL3
537.68
mE1
1,954.82
mE3
787.72
mQ1
2,903.00
mQ3
879.00
mU1
3,781.55
mU3
3,648.20
mD1
1,799.73
mD3
1,312.43
At
-3,433.43
Ab
-3,935.71
Atau
2,872.78
mu
467.04
mA
1,630.60
tan(beta)
22.79
The truth!
9
M_1
-314.55
M_2
-3,833.41
M_3
2,912.21
mL1
1,039.82
mL3
1,582.19
mE1
2,058.46
mE3
962.68
mQ1
2,795.01
mQ3
3,259.71
mU1
1,725.54
mU3
2,938.94
mD1
3,556.45
mD3
2,245.28
At
-3,807.75
Ab
140.70
Atau
2,806.49
mu
3,410.16
mA
969.26
tan(beta)
15.31
The truth!
10
M_1
1,272.41
M_2
-265.91
M_3
2,998.13
mL1
971.05
mL3
3,795.92
mE1
1,062.86
mE3
891.84
mQ1
804.08
mQ3
1,831.35
mU1
451.05
mU3
2,244.65
mD1
968.85
mD3
349.82
At
-3,534.79
Ab
1,200.17
Atau
-610.20
mu
3,000.77
mA
1,612.07
tan(beta)
23.67
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