138 citations · 543 across the 8 of their papers we have counts for
15 papers
The combined and respective roles of imaging and stellar kinematics in identifying galaxy merger remnants
Connor Bottrell, Maan Hani, Hossen Teimoorinia +2
One of the central challenges to establishing the role of mergers in galaxy evolution is the selection of pure and complete merger samples in observations. In particular, while lar…
Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG
Robert W. Bickley, Connor Bottrell, Maan H. Hani +6
The Canada-France Imaging Survey (CFIS) will consist of deep, high-resolution r-band imaging over ~5000 square degrees of the sky, representing a first-rate opportunity to identify…
An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode
Hossen Teimoorinia, Sara Shishehchi, Ahnaf Tazwar +4
We have developed a method that maps large astronomical images onto a two-dimensional map and clusters them. A combination of various state-of-the-art machine learning (ML) algorit…
A re-assessment of strong line metallicity conversions in the machine learning era
Hossen Teimoorinia, Mansoureh Jalilkhany, Jillian M. Scudder +2
Strong line metallicity calibrations are widely used to determine the gas phase metallicities of individual HII regions and entire galaxies. Over a decade ago, based on the Sloan D…
How do central and satellite galaxies quench? -- Insights from spatially resolved spectroscopy in the MaNGA survey
Asa F. L. Bluck, Roberto Maiolino, Joanna M. Piotrowska +7
We investigate how star formation quenching proceeds within central and satellite galaxies using spatially resolved spectroscopy from the SDSS-IV MaNGA DR15. We adopt a complete sa…
Assessment of astronomical images using combined machine learning models
Hossen Teimoorinia, J. J. Kavelaars, Stephen Gwyn +3
We present a two-component Machine Learning (ML) based approach for classifying astronomical images by data-quality via an examination of sources detected in the images and image p…