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Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS
C. E. Petrillo, C. Tortora, S. Chatterjee +7
Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-find…
Galaxy and Mass Assembly (GAMA): Variation in Galaxy Structure Across the Green Valley
Lee S. Kelvin, Malcolm N. Bremer, Steven Phillipps +26
Using a sample of 472 local Universe (z<0.06) galaxies in the stellar mass range 10.25 < log M*/M_sun < 10.75, we explore the variation in galaxy structure as a function of morphol…
Exploring Relations Between BCG \& Cluster Properties in the SPectroscopic IDentification of eROSITA Sources Survey from
Kate E. Furnell, Chris A. Collins, Lee S. Kelvin +6
We present a sample of 329 low to intermediate redshift () brightest cluster galaxies (BCGs) in X-ray selected clusters from the SPectroscopic IDentification of eRo…
Galaxy and Mass Assembly (GAMA): Morphological transformation of galaxies across the green valley
M. N. Bremer, S. Phillipps, L. S. Kelvin +13
We explore constraints on the joint photometric and morphological evolution of typical low redshift galaxies as they move from the blue cloud through the green valley and onto the…