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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7 Pith papers cite this work. Polarity classification is still indexing.
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astro-ph.GA 7representative citing papers
Empirical aperture corrections for SDSS absorption indices, derived via CALIFA simulations, reach 15% of dynamical range at low redshift and reduce overestimates of old galaxy fractions by up to 10%.
Void galaxies show modestly higher star formation rates in early spirals and outer disks, lower extinction, and higher gas-fraction proxies than matched galaxies in filaments and walls, suggesting slower quenching in underdense environments.
The TNG50-SKIRT Atlas shows that nonparametric galaxy morphology indicators vary significantly with wavelength, with stronger dependence in disc-dominated galaxies, while dust effects remain modest on average.
Green valley galaxies live preferentially in the outskirts of galaxy clusters as satellites, consistent with environmental quenching processes.
Transfer learning with a Zoobot CNN on SDSS DR18 data identifies 3,679 lopsided spiral galaxies at 87% test accuracy, with lopsided systems showing higher star formation, bluer colors, lower mass and concentration.
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.
citing papers explorer
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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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Correcting the fiber-aperture bias affecting galaxy stellar populations in the Sloan Digital Sky Survey. Aperture corrections to absorption indices based on CALIFA integral field observations
Empirical aperture corrections for SDSS absorption indices, derived via CALIFA simulations, reach 15% of dynamical range at low redshift and reduce overestimates of old galaxy fractions by up to 10%.
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The CAVITY project. The spatially resolved SFR of galaxies in voids
Void galaxies show modestly higher star formation rates in early spirals and outer disks, lower extinction, and higher gas-fraction proxies than matched galaxies in filaments and walls, suggesting slower quenching in underdense environments.
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The TNG50-SKIRT Atlas: Multi-wavelength nonparametric galaxy morphology
The TNG50-SKIRT Atlas shows that nonparametric galaxy morphology indicators vary significantly with wavelength, with stronger dependence in disc-dominated galaxies, while dust effects remain modest on average.
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Cluster-green galaxy correlations: where do these galaxies live?
Green valley galaxies live preferentially in the outskirts of galaxy clusters as satellites, consistent with environmental quenching processes.
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Identifying lopsidedness in spiral galaxies using a Deep Convolutional Neural Network
Transfer learning with a Zoobot CNN on SDSS DR18 data identifies 3,679 lopsided spiral galaxies at 87% test accuracy, with lopsided systems showing higher star formation, bluer colors, lower mass and concentration.
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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.