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
-3,026.05
M_2
-349.56
M_3
3,249.51
mL1
3,663.76
mL3
2,281.64
mE1
2,178.37
mE3
1,638.56
mQ1
1,882.20
mQ3
3,073.89
mU1
2,974.86
mU3
2,755.14
mD1
713.77
mD3
1,728.07
At
-3,575.97
Ab
-3,780.80
Atau
-1,705.83
mu
864.21
mA
3,185.47
tan(beta)
57.06
The truth!
2
M_1
255.33
M_2
-1,741.83
M_3
3,055.35
mL1
217.69
mL3
3,231.85
mE1
977.77
mE3
2,433.49
mQ1
3,928.98
mQ3
856.99
mU1
3,319.43
mU3
3,220.74
mD1
2,913.70
mD3
3,945.59
At
-2,838.99
Ab
-1,916.84
Atau
3,200.42
mu
949.49
mA
2,871.61
tan(beta)
35.41
The truth!
3
M_1
1,411.40
M_2
875.96
M_3
2,662.60
mL1
2,921.51
mL3
2,664.80
mE1
1,697.63
mE3
2,680.41
mQ1
3,367.39
mQ3
3,728.34
mU1
586.38
mU3
3,650.36
mD1
1,539.63
mD3
2,772.53
At
3,634.59
Ab
1,229.89
Atau
-609.55
mu
263.58
mA
3,289.12
tan(beta)
54.13
The truth!
4
M_1
68.33
M_2
3,688.11
M_3
1,631.57
mL1
923.43
mL3
3,280.53
mE1
3,074.78
mE3
668.48
mQ1
1,258.40
mQ3
3,682.07
mU1
2,292.79
mU3
3,222.91
mD1
2,037.08
mD3
3,623.11
At
4,040.94
Ab
197.04
Atau
-2,695.45
mu
-104.21
mA
3,075.28
tan(beta)
34.58
The truth!
5
M_1
1,909.05
M_2
176.57
M_3
651.63
mL1
1,425.79
mL3
2,816.08
mE1
3,966.78
mE3
2,096.24
mQ1
2,604.72
mQ3
1,394.13
mU1
2,390.43
mU3
3,035.42
mD1
3,852.27
mD3
3,303.06
At
2,410.59
Ab
-355.76
Atau
-2,841.34
mu
-685.48
mA
3,240.92
tan(beta)
53.04
The truth!
6
M_1
-2,456.34
M_2
-3,052.75
M_3
2,280.31
mL1
598.76
mL3
3,228.96
mE1
3,808.93
mE3
3,427.57
mQ1
2,667.48
mQ3
1,447.16
mU1
1,718.75
mU3
3,375.21
mD1
3,987.90
mD3
3,312.59
At
-3,028.80
Ab
-2,076.17
Atau
3,377.99
mu
177.82
mA
2,391.63
tan(beta)
57.95
The truth!
7
M_1
2,527.36
M_2
765.82
M_3
825.47
mL1
2,429.88
mL3
723.15
mE1
2,090.90
mE3
2,520.03
mQ1
1,399.30
mQ3
3,354.39
mU1
1,949.27
mU3
2,925.32
mD1
3,914.19
mD3
2,726.07
At
-2,773.00
Ab
2,193.89
Atau
-637.17
mu
373.39
mA
2,831.16
tan(beta)
20.98
The truth!
8
M_1
1,175.84
M_2
2,838.52
M_3
2,330.19
mL1
1,311.85
mL3
1,633.88
mE1
1,613.77
mE3
3,395.13
mQ1
1,829.71
mQ3
1,353.23
mU1
2,094.30
mU3
1,843.08
mD1
1,061.15
mD3
3,698.88
At
2,691.33
Ab
-3,561.01
Atau
-2,242.82
mu
-234.93
mA
3,991.32
tan(beta)
25.58
The truth!
9
M_1
-3,705.74
M_2
-535.24
M_3
2,519.42
mL1
3,871.18
mL3
3,505.97
mE1
2,207.62
mE3
3,690.37
mQ1
937.78
mQ3
3,791.77
mU1
3,371.39
mU3
3,582.26
mD1
2,460.55
mD3
182.86
At
-2,825.16
Ab
2,286.28
Atau
2,272.16
mu
1,641.06
mA
3,396.54
tan(beta)
26.15
The truth!
10
M_1
465.59
M_2
-643.86
M_3
2,459.37
mL1
2,998.39
mL3
1,300.17
mE1
1,228.72
mE3
2,803.23
mQ1
3,094.96
mQ3
3,558.04
mU1
2,699.00
mU3
3,089.96
mD1
3,452.07
mD3
2,008.48
At
-3,686.54
Ab
-1,332.34
Atau
-3,506.02
mu
472.40
mA
2,950.90
tan(beta)
47.72
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