122 citations · 394 across the 9 of their papers we have counts for
9 papers
The Morphologically Divided Redshift Distribution of Faint Galaxies
M. Im, R. E. Griffiths, A. Naim +4
We have constructed a morphologically divided redshift distribution of faint field galaxies using a statistically unbiased sample of 196 galaxies brighter than I = 21.5 for which d…
Galaxy Morphology Without Classification: Self Organising Maps
A. Naim, K. U. Ratnatunga, R. E. Griffiths
We examine a general framework for visualizing datasets of high (> 2) dimensionality, and demonstrate it using the morphology of galaxies at moderate redshifts. The distributions o…
Star/Galaxy Separation Revisited : Into the Zone of Avoidance
A. Naim
The problem of automated separation of stars and galaxies on photographic plates is revisited with two goals in mind : First, to separate galaxies from everything else (as opposed…
Quantitative Morphology of Moderate Redshift Galaxies : How Many Peculiars are There ?
A. Naim, K. U. Ratnatunga, R. E. Griffiths
The advent of the Hubble Space Telescope (HST) has provided images of galaxies at moderate and high redshifts and changed the scope of galaxy morphologies considerably. It is evide…
Secondary Infall: Theory {\it Versus} Simulations
Saleem Zaroubi, Avi Naim, Yehuda Hoffman
The applicability of the highly idealized secondary infall model to `realistic' initial conditions is investigated. The collapse of proto-halos seeded by density perturbations…
AUTOMATED MORPHOLOGICAL CLASSIFICATION OF APM GALAXIES BY SUPERVISED ARTIFICIAL NEURAL NETWORKS
A. Naim, O. Lahav, L. Sodre +1
We train Artificial Neural Networks to classify galaxies based solely on the morphology of the galaxy images as they appear on blue survey plates. The images are reduced and morpho…