Outputs (7)

From starburst to quiescence: post-starburst galaxies and their large-scale clustering over cosmic time (2021)
Journal Article
Wilkinson, A., Almaini, O., Wild, V., Maltby, D., Hartley, W. G., Simpson, C., & Rowlands, K. (2021). From starburst to quiescence: post-starburst galaxies and their large-scale clustering over cosmic time. Monthly Notices of the Royal Astronomical Society, 504(3), 4533–4550. https://doi.org/10.1093/mnras/stab965

We present the first study of the large-scale clustering of post-starburst (PSB) galaxies in the high-redshift Universe (0.5 < z < 3.0). We select ∼4000 PSB galaxies photometrically, the largest high-redshift sample of this kind, from two deep large-... Read More about From starburst to quiescence: post-starburst galaxies and their large-scale clustering over cosmic time.

The VANDELS ESO public spectroscopic survey: Final data release of 2087 spectra and spectroscopic measurements (2021)
Journal Article
Garilli, B., McLure, R., Pentericci, L., Franzetti, P., Gargiulo, A., Carnall, A., Cucciati, O., Iovino, A., Amorin, R., Bolzonella, M., Bongiorno, A., Castellano, M., Cimatti, A., Cirasuolo, M., Cullen, F., Dunlop, J., Elbaz, D., Finkelstein, S., Fontana, A., Fontanot, F., …Zucca, E. (2021). The VANDELS ESO public spectroscopic survey: Final data release of 2087 spectra and spectroscopic measurements. Astronomy and Astrophysics, 647, Article A150. https://doi.org/10.1051/0004-6361/202040059

VANDELS is an ESO Public Spectroscopic Survey designed to build a sample of high-signal-to-noise ratio, medium-resolution spectra of galaxies at redshifts between 1 and 6.5. Here we present the final Public Data Release of the VANDELS Survey, compris... Read More about The VANDELS ESO public spectroscopic survey: Final data release of 2087 spectra and spectroscopic measurements.

An ALMA survey of the SCUBA-2 CLS UDS field: Physical properties of 707 Sub-millimetre Galaxies (2020)
Journal Article
Dudzevičiūtė, U., Smail, I., Swinbank, A. M., Stach, S. M., Almaini, O., da Cunha, E., An, F. X., Arumugam, V., Birkin, J., Blain, A. W., Chapman, S. C., Chen, C.-C., Conselice, C. J., Coppin, K. E. K., Dunlop, J. S., Farrah, D., Geach, J. E., Gullberg, B., Hartley, W. G., Hodge, J. A., …van der Werf, P. (2020). An ALMA survey of the SCUBA-2 CLS UDS field: Physical properties of 707 Sub-millimetre Galaxies. Monthly Notices of the Royal Astronomical Society, 494(3), 3828–3860. https://doi.org/10.1093/mnras/staa769

Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift (2020)
Journal Article
Elmer, E., Almaini, O., Merrifield, M., Hartley, W. G., Maltby, D. T., Lawrence, A., Botti, I., & Hirst, P. (2020). Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift. Monthly Notices of the Royal Astronomical Society, 493(2), 3026-3035. https://doi.org/10.1093/mnras/staa381

We present the first attempt to select active galactic nuclei (AGN) using long-Term near-infrared (NIR) variability. By analysing the K-band light curves of all the galaxies in the UKIRT Infrared Deep Sky Survey (UKIDSS) Ultra Deep Survey, the deepes... Read More about Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift.

A machine-learning method for identifying multiwavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS (2018)
Journal Article
An, F. X., Stach, S., Smail, I., Swinbank, A., Almaini, O., Simpson, C., Hartley, W., Maltby, D., Ivison, R., Arumugam, V., Wardlow, J., Cooke, E., Gullberg, B., Thomson, A., Chen, C.-C., Simpson, J., Geach, J., Scott, D., Dunlop, J., Farrah, D., …Coppin, K. (2018). A machine-learning method for identifying multiwavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS. Astrophysical Journal, 862(2), Article 101. https://doi.org/10.3847/1538-4357/aacdaa

We describe the application of supervised machine-learning algorithms to identify the likely multiwavelength counterparts to submillimeter sources detected in panoramic, single-dish submillimeter surveys. As a training set, we employ a sample of 695... Read More about A machine-learning method for identifying multiwavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS.

X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field (2018)
Journal Article
Kocevski, D. D., Hasinger, G., Brightman, M., Nandra, K., Georgakakis, A., Cappelluti, N., Civano, F., Li, Y., Li, Y., Aird, J., Alexander, D. M., Almaini, O., Brusa, M., Buchner, J., Comastri, A., Conselice, C. J., Dickinson, M. A., Finoguenov, A., Gilli, R., Koekemoer, A. M., …Ueda, Y. (2018). X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field. Astrophysical Journal Supplement, 236(2), Article 48. https://doi.org/10.3847/1538-4365/aab9b4

We present the X-UDS survey, a set of wide and deep Chandra observations of the Subaru-XMM Deep/UKIDSS Ultra Deep Survey (SXDS/UDS) field. The survey consists of 25 observations that cover a total area of 0.33 deg2. The observations are combined to p... Read More about X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field.

Deconstructing the galaxy stellar mass function with UKIDSS and CANDELS: the impact of colour, structure and environment (2014)
Journal Article
Mortlock, A., Conselice, C. J., Hartley, W. G., Duncan, K., Lani, C., Ownsworth, J. R., Almaini, O., van der Wel, A., Huang, K.-H., Ashby, M. L., Willner, S., Fontana, A., Dekel, A., Koekemoer, A. M., Ferguson, H. C., Faber, S. M., Grogin, N. A., & Kocevski, D. D. (2015). Deconstructing the galaxy stellar mass function with UKIDSS and CANDELS: the impact of colour, structure and environment. Monthly Notices of the Royal Astronomical Society, 447(1), 2-24. https://doi.org/10.1093/mnras/stu2403