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IJS Civilizations

Sandberg paper: https://arxiv.org/abs/1806.02404

Google Drive folder (photos and work reports): Civilizations

generateData3D_N(L).py Generates points for each Lmax and saves it to a file

plot3D_N(L).py Plots a 3DGraph from files created from before


Clustering and Boxplots

Manualy read from a graph for different clusters. For each cluster draw a boxplot for each parameter

Dependency L(N) (Flipping N and L)

Generate points and plot a 3Dgraph where N and L are changed.. calulating L for different Nmax points Using generateData3D_L(N).py to generate points and plot3D_L(N).py to plot it

Machine Learning

Using Machine Learning to get clusters for generated points

  • dAE - Deep Autoencoder
  • VAE - Variational autoencoder
  • tSNE

Different models

Model 2: https://arxiv.org/ftp/arxiv/papers/1510/1510.08837.pdf Model 2 opposite to original Drake equation (calculates how many int.civs are out there now), this model caluclates how many int.civs. were ever out there. We used Sandberg distributions for astrophysics probabilities, Papers lower bound for biotechnical probabilities and L so we can calculate similar results to Model 1 Useable files: generateDataModel2.py to generate points and plotDataModel2.py to plot it

Model 3: http://adsabs.harvard.edu/full/1983QJRAS..24..283B ... Useable files: generateDataModel3_3DLongevity.py to generate points and Model3_3DLongevity.py to plot it


points4.csv 480000 points generated from an old code (2019-01-13)

Sfinga.jpg Latest version of Sphynx (2019-02-28) /Bokal update

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Looking for civilisations in the Milky Way

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