5 citations · 8 across the 13 of their papers we have counts for
14 papers
COBALT-BLUE: a fast and accurate model for gravitational self-lensing binary systems
Danny J. Dixon, Adam Ingram, Matthew J. Middleton +5
We present COBALT-BLUE, a fast public model for the optical light curve of a luminous star in a non-accreting binary with a compact object. The model includes gravitational self-le…
Physical properties of star-forming clumps in nearby galaxies from CLAUDS and HSC-SSP
Jürgen J. Popp, Hugh Dickinson, Stephen Serjeant +2
Giant Star-forming Clumps (GSFCs) are kpc-scale regions of enhanced star-formation with stellar masses of to that are commonly observed in high-redshift (…
The fraction of clumpy star-forming galaxies in nearby galaxies from CLAUDS and HSC-SSP
Jürgen J. Popp, Hugh Dickinson, Stephen Serjeant +3
Massive, star-forming clumps are regions of intensive star-formation that are commonly observed in high-redshift () galaxies. Observations of low-redshift clumpy galaxy anal…
Star-forming clump detection in nearby galaxies using Faster R-CNN and imaging data from CLAUDS and HSC-SSP
Jürgen J. Popp, Hugh Dickinson, Stephen Serjeant +4
Giant Star-forming Clumps (GSFCs) are kpc-scale regions of enhanced star-formation with stellar masses of to that are commonly observed in high-redshift gala…
Citizen Science Research with the Square Kilometre Array Observatory (SKAO)
Ananda Hota, Pratik Dabhade, M. J. Hardcastle +8
Over the past two decades, internet-enabled citizen science research (CSR) has contributed to significant discoveries while involving millions of people in the research process. Ou…
Galaxy Zoo Evo: 1 million human-annotated images of galaxies
Mike Walmsley, Steven Bamford, Hugh Dickinson +17
We introduce Galaxy Zoo Evo, a labeled dataset for building and evaluating foundation models on images of galaxies. GZ Evo includes 104M crowdsourced labels for 823k images from fo…
Overview of the ESCAPE Dark Matter Test Science Project for Astronomers
James Pearson, Hugh Dickinson, Sukanya Sinha +1
The search for dark matter has been ongoing for decades within both astrophysics and particle physics. Both fields have employed different approaches and conceived a variety of met…
Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey
James Pearson, Hugh Dickinson, Stephen Serjeant +22
We present morphological classifications of over 41,000 galaxies out to across six square degrees of the Euclid Deep Field North (EDFN) from the Hawaii Twenty…
Galaxy Zoo CEERS: Bar fractions up to z~4.0
Tobias Géron, R. J. Smethurst, Hugh Dickinson +22
We study the evolution of the bar fraction in disc galaxies between using multi-band coloured images from JWST CEERS. These images were classified by citizen scient…
Citizen Science in European Research Infrastructures
Stephen Serjeant, James Pearson, Hugh Dickinson +1
Major European Union-funded research infrastructure and open science projects have traditionally included dissemination work, for mostly one-way communication of the research activ…
Scaling Laws for Galaxy Images
Mike Walmsley, Micah Bowles, Anna M. M. Scaife +17
We present the first systematic investigation of supervised scaling laws outside of an ImageNet-like context - on images of galaxies. We use 840k galaxy images and over 100M annota…
Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN
Jürgen Popp, Hugh Dickinson, Stephen Serjeant +8
Giant Star-forming Clumps (GSFCs) are areas of intensive star-formation that are commonly observed in high-redshift (z>1) galaxies but their formation and role in galaxy evolution…
Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys
Mike Walmsley, Tobias Géron, Sandor Kruk +13
We present detailed morphology measurements for 8.67 million galaxies in the DESI Legacy Imaging Surveys (DECaLS, MzLS, and BASS, plus DES). These are automated measurements made b…
Muon Hunter: a Zooniverse project
R. Bird, M. K. Daniel, H. Dickinson +8
The large datasets and often low signal-to-noise inherent to the raw data of modern astroparticle experiments calls out for increasingly sophisticated event classification techniqu…