7 citations · 12 across the 5 of their papers we have counts for
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Kinematic Lensing Inference I: Characterizing Shape Noise with Simulated Analyses
Pranjal R. S., Elisabeth Krause, Hung-Jin Huang +4
The unknown intrinsic shape of source galaxies is one of the largest uncertainties of weak gravitational lensing (WL). It results in the so-called shape noise at the level of $σ_ε^…
Galaxy Morphological Classification with Efficient Vision Transformer
Joshua Yao-Yu Lin, Song-Mao Liao, Hung-Jin Huang +2
Quantifying the morphology of galaxies has been an important task in astrophysics to understand the formation and evolution of galaxies. In recent years, the data size has been dra…
An Analysis Framework for Understanding the Origin of Nuclear Activity in Low-Power Radio Galaxies
Yen-Ting Lin, Hung-Jin Huang, Yen-Chi Chen
Using large samples containing nearly active galaxies of low radio luminosity (1.4 GHz luminosity between and W/Hz, essentially low-excit…
Intrinsic Alignment in redMaPPer clusters -- II. Radial alignment of satellites toward cluster centers
Hung-Jin Huang, Rachel Mandelbaum, Peter E. Freeman +3
We study the orientations of satellite galaxies in redMaPPer clusters constructed from the Sloan Digital Sky Survey at to determine whether there is any preferential t…
Intrinsic alignments in redMaPPer clusters -- I. Central galaxy alignments and angular segregation of satellites
Hung-Jin Huang, Rachel Mandelbaum, Peter E. Freeman +4
The shapes of cluster central galaxies are not randomly oriented, but rather exhibit coherent alignments with the shapes of their parent clusters as well as with the surrounding la…