Dr STEVEN BAMFORD's Outputs (55)

Euclid preparation. LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey (2025)
Journal Article
Euclid Collaboration, Bellhouse, C., Golden-Marx, J., Bamford, S., Hatch, N., Kluge, M., Ellien, A., Ahad, S., Dimauro, P., Durret, F., Gonzalez, A., Jimenez-Teja, Y., Montes, M., Sereno, M., Slezak, E., Bolzonella, M., Castignani, G., Cucciati, O., De Lucia, G., Ghaffari, Z., …Walton, N. (in press). Euclid preparation. LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey. Astronomy and Astrophysics, https://doi.org/10.1051/0004-6361/202553887

The intracluster light (ICL) permeating galaxy clusters is a tracer of the cluster assembly history and potentially a tracer of their dark matter structure. In this work, we explore the capability of the Euclid Wide Survey to detect ICL using HE-band... Read More about Euclid preparation. LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey.

The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey (2024)
Journal Article
Holwerda, B. W., Robertson, C., Cook, K., Pimbblet, K., Casura, S., Sansom, A. E., Patel, D., Butrum, T. A., Glass, D. H. W., Kelvin, L. S., Baldry, I. K., De Propris, R., Bamford, S., Masters, K., Stone, M. B., Hardin, T., Walmsley, M., Liske, J., & Adnan, S. R. (2024). The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey. Publications of the Astronomical Society of Australia, 41, Article e115. https://doi.org/10.1017/pasa.2024.109

Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) ima... Read More about The Galaxy Zoo catalogues for Galaxy and Mass Assembly (GAMA) survey.

A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8 (2024)
Journal Article
Tohill, C., Bamford, S. P., Conselice, C. J., Ferreira, L., Harvey, T., Adams, N., & Austin, D. (2024). A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8. Astrophysical Journal, 962(2), Article 164. https://doi.org/10.3847/1538-4357/ad17b8

Galaxy morphologies provide valuable insights into their formation processes, tracing the spatial distribution of ongoing star formation and encoding signatures of dynamical interactions. While such information has been extensively investigated at lo... Read More about A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8.

Galapagos-2/Galfitm/Gama – Multi-wavelength measurement of galaxy structure: Separating the properties of spheroid and disk components in modern surveys (2022)
Journal Article
Häußler, B., Vika, M., Bamford, S. P., Johnston, E. J., Brough, S., Casura, S., Holwerda, B. W., Kelvin, L. S., & Popescu, C. (2022). Galapagos-2/Galfitm/Gama – Multi-wavelength measurement of galaxy structure: Separating the properties of spheroid and disk components in modern surveys. Astronomy and Astrophysics, 664, Article A92. https://doi.org/10.1051/0004-6361/202142935

Aims. We present the capabilities of Galapagos-2 and Galfitm in the context of fitting two-component profiles - bulge- disk decompositions - to galaxies, with the ultimate goal of providing complete multi-band, multi-component fitting of large sample... Read More about Galapagos-2/Galfitm/Gama – Multi-wavelength measurement of galaxy structure: Separating the properties of spheroid and disk components in modern surveys.

Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions (2022)
Journal Article
Driver, S. P., Bellstedt, S., Robotham, A. S., Baldry, I. K., Davies, L. J., Liske, J., Obreschkow, D., Taylor, E. N., Wright, A. H., Alpaslan, M., Bamford, S. P., Bauer, A. E., Bland-Hawthorn, J., Bilicki, M., Bravo, M., Brough, S., Casura, S., Cluver, M. E., Colless, M., Conselice, C. J., …Wilkins, S. M. (2022). Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions. Monthly Notices of the Royal Astronomical Society, 513(1), 439-467. https://doi.org/10.1093/mnras/stac472

In Galaxy And Mass Assembly Data Release 4 (GAMA DR4), we make available our full spectroscopic redshift sample. This includes 248 682 galaxy spectra, and, in combination with earlier surveys, results in 330 542 redshifts across five sky regions cove... Read More about Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions.

Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies (2021)
Journal Article
Walmsley, M., Lintott, C., Géron, T., Kruk, S., Krawczyk, C., Willett, K. W., Bamford, S., Kelvin, L. S., Fortson, L., Gal, Y., Keel, W., Masters, K. L., Mehta, V., Simmons, B. D., Smethurst, R., Smith, L., Baeten, E. M., & MacMillan, C. (2022). Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. Monthly Notices of the Royal Astronomical Society, 509(3), 3966-3988. https://doi.org/10.1093/mnras/stab2093

We present Galaxy Zoo DECaLS: detailed visual morphological classifications for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint. Deeper DECaLS images (r = 23.6 versus r = 22.2 from SDSS) reveal spiral arms, weak bars... Read More about Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies.

Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning (2021)
Journal Article
Tohill, C., Ferreira, L., Conselice, C. J., Bamford, S. P., & Ferrari, F. (2021). Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning. Astrophysical Journal, 916(1), Article 4. https://doi.org/10.3847/1538-4357/ac033c

At high redshift, due to both observational limitations and the variety of galaxy morphologies in the early universe, measuring galaxy structure can be challenging. Non-parametric measurements such as the CAS system have thus become an important tool... Read More about Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning.

Recovering the origins of the lenticular galaxy NGC 3115 using multiband imaging (2021)
Journal Article
Buzzo, M. L., Cortesi, A., Hernandez-Jimenez, J. A., Coccato, L., Werle, A., Beraldo e Silva, L., Grossi, M., Vika, M., Barbosa, C. E., Lucatelli, G., Santana-Silva, L., Bamford, S., Debattista, V. P., Forbes, D. A., Overzier, R., Romanowsky, A. J., Ferrari, F., Brodie, J. P., & Mendes de Oliveira, C. (2021). Recovering the origins of the lenticular galaxy NGC 3115 using multiband imaging. Monthly Notices of the Royal Astronomical Society, 504(2), 2146-2167. https://doi.org/10.1093/mnras/stab941

A detailed study of the morphology of lenticular galaxies is an important way to understand how this type of galaxy is formed and evolves over time. Decomposing a galaxy into its components (disc, bulge, bar, ...) allows recovering the colour gradien... Read More about Recovering the origins of the lenticular galaxy NGC 3115 using multiband imaging.

Galaxy and Mass Assembly: A Comparison between Galaxy–Galaxy Lens Searches in KiDS/GAMA (2020)
Journal Article
Knabel, S., Steele, R. L., Holwerda, B. W., Bridge, J. S., Jacques, A., Hopkins, A. M., Bamford, S. P., Brown, M. J. I., Brough, S., Kelvin, L., Bilicki, M., & Kielkopf, J. (2020). Galaxy and Mass Assembly: A Comparison between Galaxy–Galaxy Lens Searches in KiDS/GAMA. Astronomical Journal, 160(5), Article 223. https://doi.org/10.3847/1538-3881/abb612

Strong gravitational lenses are a rare and instructive type of astronomical object. Identification has long relied on serendipity, but different strategies—such as mixed spectroscopy of multiple galaxies along the line of sight, machine-learning algo... Read More about Galaxy and Mass Assembly: A Comparison between Galaxy–Galaxy Lens Searches in KiDS/GAMA.

Galaxy Zoo Builder: Four-component Photometric Decomposition of Spiral Galaxies Guided by Citizen Science (2020)
Journal Article
Lingard, T. K., Masters, K. L., Krawczyk, C., Lintott, C., Kruk, S., Simmons, B., Simpson, R., Bamford, S., Nichol, R. C., & Baeten, E. (2020). Galaxy Zoo Builder: Four-component Photometric Decomposition of Spiral Galaxies Guided by Citizen Science. Astrophysical Journal, 900(2), 178. https://doi.org/10.3847/1538-4357/ab9d83

Multicomponent modeling of galaxies is a valuable tool in the effort to quantitatively understand galaxy evolution, yet the use of the technique is plagued by issues of convergence, model selection, and parameter degeneracies. These issues limit its... Read More about Galaxy Zoo Builder: Four-component Photometric Decomposition of Spiral Galaxies Guided by Citizen Science.

Multi-wavelength structure analysis of local cluster galaxies: The WINGS project (2020)
Journal Article
Psychogyios, A., Vika, M., Charmandaris, V., Bamford, S., Fasano, G., Häußler, B., Moretti, A., Poggianti, B., & Vulcani, B. (2020). Multi-wavelength structure analysis of local cluster galaxies: The WINGS project. Astronomy and Astrophysics, 633, A104. https://doi.org/10.1051/0004-6361/201833522

© ESO 2020. We present a multi-wavelength analysis of the galaxies in nine clusters selected from the WINGS dataset, examining how galaxy structure varies as a function of wavelength and environment using the state of the art software GALAPAGOS-2. We... Read More about Multi-wavelength structure analysis of local cluster galaxies: The WINGS project.

Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning (2019)
Journal Article
Walmsley, M., Smith, L., Lintott, C., Gal, Y., Bamford, S., Dickinson, H., Fortson, L., Kruk, S., Masters, K., Scarlata, C., Simmons, B., Smethurst, R., & Wright, D. (2020). Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning. Monthly Notices of the Royal Astronomical Society, 491(2), 1554-1574. https://doi.org/10.1093/mnras/stz2816

We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian CNN can learn from galaxy images with uncertain labels and then, for prev... Read More about Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning.

The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets (2019)
Journal Article
Holwerda, B. W., Kelvin, L., Baldry, I., Lintott, C., Alpaslan, M., Pimbblet, K. A., Liske, J., Kitching, T., Bamford, S., De Jong, J., Bilicki, M., Hopkins, A., Bridge, J., Steele, R., Jacques, A., Goswami, S., Kusmic, S., Roemer, W., Kruk, S., Popescu, C. C., …Kitching, T. (2019). The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets. Astronomical Journal, 158(3), Article 103. https://doi.org/10.3847/1538-3881/ab2886

© 2019. The American Astronomical Society. All rights reserved.. Dust lanes bisect the plane of a typical edge-on spiral galaxy as a dark optical absorption feature. Their appearance is linked to the gravitational stability of spiral disks; the fract... Read More about The frequency of dust lanes in edge-on spiral galaxies identified by galaxy Zoo in KiDS Imaging of GAMA Targets.

Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance (2019)
Journal Article
Sprinks, J., Houghton, R., Bamford, S., & Morley, J. G. (2019). Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance. Meteoritics and Planetary Science, 54(6), 1325-1346. https://doi.org/10.1111/maps.13277

Virtual citizen science platforms allow nonscientists to take part in scientific research across a range of disciplines, including planetary science. What is required of the volunteer can vary considerably in terms of task type, variety, judgment req... Read More about Planet Four: Craters—Optimizing task workflow to improve volunteer engagement and crater counting performance.

A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016 (2019)
Journal Article
Houghton, R., Sprinks, J., Wardlaw, J., Bamford, S., & Marsh, S. (2019). A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016. JCOM: Journal of Science Communication, 18(01), https://doi.org/10.22323/2.18010201

We discuss the potential application to virtual citizen science of a recent standard (BS ISO 27500:2016 “The human-centred organisation”) which encourages the adoption of a sociotechnical systems perspective across a wide range of businesses, organiz... Read More about A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016.

OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2 (2019)
Journal Article
Roman-Oliveira, F. V., Chies-Santos, A. L., Rodríguez Del Pino, B., Aragón-Salamanca, A., Gray, M. E., & Bamford, S. P. (2019). OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2. Monthly Notices of the Royal Astronomical Society, 484(1), 892–905. https://doi.org/10.1093/mnras/stz007

We present the results of a systematic search and characterisation of galaxies with morphological signatures of ram-pressure stripping, known as jellyfish galaxies, in the multi-cluster system A901/2, at z ∼ 0.165, as part of the OMEGA survey. By vis... Read More about OMEGA – OSIRIS mapping of emission-line galaxies in A901/2 – V. The rich population of jellyfish galaxies in the multi-cluster system Abell 901/2.

The Astropy Project: building an open-science project and status of the v2.0 core package (2018)
Journal Article
Price-Whelan, A., Sipőcz, B., Günther, H., Lim, P., Crawford, S., Conseil, S., Shupe, D., Craig, M., Dencheva, N., Ginsburg, A., VanderPlas, J., Bradley, L., Pérez-Suárez, D., de Val-Borro, M., Aldcroft, T., Cruz, K., Robitaille, T., Tollerud, E., & Bamford, S. (2018). The Astropy Project: building an open-science project and status of the v2.0 core package. Astronomical Journal, 156(3), Article 123. https://doi.org/10.3847/1538-3881/aabc4f

The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the The Astropy Project supports and fosters the d... Read More about The Astropy Project: building an open-science project and status of the v2.0 core package.

Galaxy Cluster Mass Reconstruction Project – IV. Understanding the effects of imperfect membership on cluster mass estimation (2018)
Journal Article
Wojtak, R., Old, L., Mamon, G., Pearce, F., de Carvalho, R., Sifón, C., Gray, M., Skibba, R., Croton, D., Bamford, S., Gifford, D., von der Linden, A., Muñoz-Cuartas, J., Müller, V., Pearson, R., Rozo, E., Rykoff, E., Saro, A., Sepp, T., & Tempel, E. (2018). Galaxy Cluster Mass Reconstruction Project – IV. Understanding the effects of imperfect membership on cluster mass estimation. Monthly Notices of the Royal Astronomical Society, 481(1), 324-340. https://doi.org/10.1093/mnras/sty2257

The primary difficulty in measuring dynamical masses of galaxy clusters from galaxy data lies in the separation between true cluster members from interloping galaxies along the line of sight. We study the impact of membership contamination and incomp... Read More about Galaxy Cluster Mass Reconstruction Project – IV. Understanding the effects of imperfect membership on cluster mass estimation.

OMEGA-OSIRIS mapping of emission-line galaxies in A901/2:IV: extinction of star-formation estimators with inclination (2018)
Journal Article
Wolf, C., Weinzirl, T., Aragón-Salamanca, A., Gray, M. E., Rodríguez del Pino, B., Chies-Santos, A. L., Bamford, S. P., Böhm, A., & Harborne, K. (2018). OMEGA-OSIRIS mapping of emission-line galaxies in A901/2:IV: extinction of star-formation estimators with inclination. Monthly Notices of the Royal Astronomical Society, 480(3), 3788–3799. https://doi.org/10.1093/mnras/sty2112

We study the effect of inclination on the apparent brightness of star-forming galaxies in spectral passbands that are commonly used as star-formation indicators. As diagnostics we use mass-to-light ratios in three passbands: the UV continuum at 280 n... Read More about OMEGA-OSIRIS mapping of emission-line galaxies in A901/2:IV: extinction of star-formation estimators with inclination.

Galaxy Zoo: constraining the origin of spiral arms (2018)
Journal Article
Hart, R. E., Bamford, S. P., Keel, W. C., Kruk, S. J., Masters, K. L., Simmons, B. D., & Smethurst, R. J. (2018). Galaxy Zoo: constraining the origin of spiral arms. Monthly Notices of the Royal Astronomical Society, 478(1), 932-949. https://doi.org/10.1093/mnras/sty1201

Since the discovery that the majority of low-redshift galaxies exhibit some level of spiral structure, a number of theories have been proposed as to why these patterns exist. A popular explanation is a process known as swing amplification, yet there... Read More about Galaxy Zoo: constraining the origin of spiral arms.