A multi-parameter fuzzy classification using sigmoidal membership functions derived from Gaussian mixture models on SDSS data yields less contaminated red and green-valley samples with clearer physical trends than hard-boundary methods.
L., Mosleh, M., Romer, A
2 Pith papers cite this work. Polarity classification is still indexing.
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Euclid Q1 data shows the passive-density and morphology-density relations persist from z=0.25 to z=1, with local density increasing the quenched and early-type fractions at fixed stellar mass for galaxies below 10^10.8 solar masses.
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A Multi-parameter Fuzzy Set Framework for Classifying Red, Blue, and Green Valley Galaxies
A multi-parameter fuzzy classification using sigmoidal membership functions derived from Gaussian mixture models on SDSS data yields less contaminated red and green-valley samples with clearer physical trends than hard-boundary methods.
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Euclid Quick Data Release (Q1): The evolution of the passive-density and morphology-density relations between $z=0.25$ and $z=1$
Euclid Q1 data shows the passive-density and morphology-density relations persist from z=0.25 to z=1, with local density increasing the quenched and early-type fractions at fixed stellar mass for galaxies below 10^10.8 solar masses.