225 citations · 443 across the 6 of their papers we have counts for
6 papers
Revisiting AGN Placement on the BPT Diagram: A Spectral Decomposition Approach
Hossen Teimoorinia, Sara Shishehchi, Finn Archinuk +5
Traditional single-fibre spectroscopy provides a single galaxy spectrum, forming the basis for crucial parameter estimation. However, its accuracy can be compromised by various sou…
Stellar Populations With Optical Spectra: Deep Learning vs. Popular Spectrum Fitting Codes
Joanna Woo, Dan Walters, Finn Archinuk +4
We compare the performance of several popular spectrum fitting codes (Firefly, starlight, pyPipe3D and pPXF), and a deep-learning convolutional neural network (StarNet), in recover…
Mapping the Diversity of Galaxy Spectra with Deep Unsupervised Machine Learning
Hossen Teimoorinia, Finn Archinuk, Joanna Woo +2
Modern spectroscopic surveys of galaxies such as MaNGA consist of millions of diverse spectra covering different regions of thousands of galaxies. We propose and implement a deep u…
Satellite Quenching, Galaxy Inner Density and the Halo Environment
J. Woo, C. M. Carollo, S. M. Faber +2
Using the Sloan Digital Sky Survey, we adopt the sSFR- diagram as a diagnostic tool to understand quenching in different environments. sSFR is the specific star formation…
Two Conditions for Galaxy Quenching: Compact Centres and Massive Haloes
Joanna Woo, Avishai Dekel, S. M. Faber +1
We investigate the roles of two classes of quenching mechanisms for central and satellite galaxies in the SDSS (): those involving the halo and those involving the formati…
Dependence of Galaxy Quenching on Halo Mass and Distance from its Centre
Joanna Woo, Avishai Dekel, S. M. Faber +12
We study the dependence of star-formation quenching on galaxy mass and environment, in the SDSS (z~0.1) and the AEGIS (z~1). It is crucial that we define quenching by low star-form…