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
522.75
M_2
1,534.61
M_3
1,225.44
mL1
1,714.38
mL3
3,677.76
mE1
2,501.58
mE3
1,934.54
mQ1
1,084.29
mQ3
3,376.46
mU1
476.20
mU3
3,401.06
mD1
1,995.65
mD3
463.69
At
3,631.67
Ab
395.40
Atau
-136.25
mu
-507.58
mA
2,368.99
tan(beta)
24.49
The truth!
2
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!
3
M_1
645.39
M_2
-3,520.54
M_3
2,997.82
mL1
1,765.08
mL3
1,939.26
mE1
717.73
mE3
1,894.44
mQ1
2,434.22
mQ3
1,805.40
mU1
3,556.24
mU3
2,030.84
mD1
1,932.02
mD3
3,330.44
At
3,475.98
Ab
13.15
Atau
-718.02
mu
-853.31
mA
1,281.19
tan(beta)
7.26
The truth!
4
M_1
1,380.61
M_2
3,411.48
M_3
386.62
mL1
3,925.03
mL3
1,601.91
mE1
1,327.68
mE3
3,993.63
mQ1
1,685.98
mQ3
2,687.65
mU1
1,667.95
mU3
3,593.33
mD1
3,224.31
mD3
2,101.53
At
3,352.48
Ab
1,822.55
Atau
2,953.57
mu
-142.14
mA
2,797.02
tan(beta)
49.03
The truth!
5
M_1
-860.29
M_2
121.74
M_3
1,516.19
mL1
1,831.33
mL3
3,744.56
mE1
234.21
mE3
1,142.20
mQ1
2,448.75
mQ3
3,249.26
mU1
981.03
mU3
1,746.93
mD1
278.24
mD3
1,381.30
At
3,490.44
Ab
-567.86
Atau
-3,256.13
mu
-3,290.10
mA
3,256.83
tan(beta)
30.66
The truth!
6
M_1
1,828.30
M_2
951.83
M_3
433.93
mL1
3,296.21
mL3
796.02
mE1
2,811.07
mE3
2,042.74
mQ1
1,843.91
mQ3
1,989.95
mU1
3,848.65
mU3
2,347.52
mD1
3,609.79
mD3
801.45
At
2,589.76
Ab
1,228.86
Atau
2,161.01
mu
-396.87
mA
734.29
tan(beta)
44.19
The truth!
7
M_1
-778.15
M_2
-196.25
M_3
1,452.68
mL1
3,749.79
mL3
3,548.60
mE1
3,974.20
mE3
2,407.84
mQ1
594.68
mQ3
3,836.50
mU1
2,039.34
mU3
2,478.55
mD1
2,182.94
mD3
3,062.96
At
-3,687.81
Ab
-920.14
Atau
3,342.67
mu
2,028.53
mA
2,531.30
tan(beta)
32.08
The truth!
8
M_1
714.27
M_2
3,271.00
M_3
2,968.08
mL1
731.89
mL3
3,195.25
mE1
1,024.17
mE3
1,928.70
mQ1
3,124.19
mQ3
2,651.63
mU1
2,369.85
mU3
2,500.33
mD1
2,050.06
mD3
906.33
At
-4,748.25
Ab
-1,392.11
Atau
1,972.06
mu
1,049.48
mA
1,459.46
tan(beta)
12.12
The truth!
9
M_1
-2,294.85
M_2
3,806.86
M_3
1,778.89
mL1
1,464.99
mL3
1,883.38
mE1
2,172.41
mE3
3,837.10
mQ1
955.65
mQ3
3,040.31
mU1
1,225.31
mU3
1,814.19
mD1
1,666.20
mD3
1,502.17
At
-3,816.19
Ab
704.75
Atau
1,153.55
mu
-165.03
mA
2,421.36
tan(beta)
27.42
The truth!
10
M_1
1,304.98
M_2
3,171.52
M_3
2,279.61
mL1
3,948.14
mL3
324.22
mE1
124.97
mE3
536.74
mQ1
3,411.15
mQ3
3,179.97
mU1
1,428.03
mU3
3,329.08
mD1
2,289.37
mD3
3,277.56
At
4,094.13
Ab
-1,320.05
Atau
1,498.26
mu
-159.57
mA
3,457.79
tan(beta)
45.42
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