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John Stott supervises 6 postgraduate research students. If these students have produced research profiles, these are listed below:

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Dr John Stott

Senior Lecturer in Astrophysics, Lecturer in Astrophysics

John Stott

Physics Building



PhD supervision

The quenching of galaxies in massive clusters:

As the Universe ages, galaxies find themselves drawn together into filaments, groups and clusters. Galaxies entering these dense environments can experience processes which ultimately lead to a dramatic change in their appearance and internal properties. This project will discover how galaxies are transformed (`quenched’) from blue star-forming spiral discs (like our own Milky Way) into passive red elliptical galaxies, through interactions with their environment.

This PhD project will be a detailed study of galaxy transformation with environment, comparing those in massive galaxy clusters to the low density "field" environment. You will use spectroscopy and imaging from Hubble Space Telescope, Very Large Telescope, Subaru telescope and the revolutionary Legacy Survey of Space and Time (LSST, https://www.lsst.org/). The results of this project will be physically interpreted through comparison with the outputs from state-of-the-art cosmological simulations of galaxy formation.

Galaxy clusters in the Big Data era with LSST:

Galaxy clusters are the largest gravitationally bound objects in the Universe, consisting of tens to thousands of galaxies within a relatively small volume. They are used extensively as laboratories for galaxy evolution, as they contain galaxies that have experienced a similar environment and processes over many billions of years. They are also key cosmological indicators with the evolution of the number of galaxy clusters of a given mass being very sensitive to the Dark Matter content of the Universe. Because of their importance for both astrophysics and cosmology it is desirable to obtain large, well understood samples of galaxy clusters over a range of redshifts. The Legacy Survey of Space and Time (LSST, https://www.lsst.org/) is an imaging survey performed with the Rubin Observatory that will discover thousands of new galaxy clusters, providing such a sample. It will image the entire southern sky with an 8.4m telescope every few nights for 10 years, producing 200 petabytes of imaging data. This will be the state-of-the-art for optical surveys for many years to come.

This project aims to further develop pre-existing algorithms and machine learning code to identify large numbers of distant galaxy clusters within the LSST survey. These algorithms will be run on existing comparable, but smaller area surveys, and the early-phase of LSST that will begin operation in 2022. The algorithms will be designed so that they can be scaled-up to deal efficiently with the full size of the main LSST survey. The cluster samples generated here will also be used to study the evolution of galaxies in dense environments and potentially cosmology.

These PhD projects represent just two component of the research performed by the wider Astrophysics group at Lancaster University. Our PhD projects are offered on a competitive basis and are subject to availability of funding.

Research Interests

My research concentrates on distant star-forming galaxies and the evolution of the members of rich galaxy clusters. I am co-PI of the QSO Sightline And Galaxy Evolution survey (QSAGE), a 96 orbit Cycle 24 Hubble Space Telescope program. QSAGE uses the light from distant accreting black holes to probe the gas in the outskirts of galaxies, in order to discover why galaxies were forming stars at a much higher rate in the past and the nature of feedback processes. I am a core member of the KMOS Redshift One Spectroscopic Survey (KROSS) a resolved Halpha survey of 800 typical star-forming galaxies at redshift 1.

An up to date list of my publications on NASA ADS can be found here and my Google Scholar page is here

  • Forthcoming

    The LOFAR Two-Metre Sky Survey (LoTSS): VI. Optical identifications for the second data release

    Hardcastle, M. J., Horton, M. A., Williams, W. L., Duncan, K. J., Alegre, L., Barkus, B., Croston, J. H., Dickinson, H., Osinga, E., Röttgering, H. J. A., Sabater, J., Shimwell, T. W., Best, P. N., Botteon, A., Brüggen, M., Drabent, A., Gasperin, F. D., Gürkan, G., Hajduk, M., Hale, C. L., & 27 othersHoeft, M., Jamrozy, M., Kunert-Bajraszewska, M., Kondapally, R., Magliocchetti, M., Mahatma, V. H., Mostert, R. I. J., Pajdosz-Śmierciak, U., Petley, J., Pierce, J. C. S., Prandoni, I., Schwarz, D. J., Shulewski, A., Siewert, T. M., Stott, J. P., Tang, H., Vaccari, M., Desbled, S., Goyal, A., Gonano, V., Hanset, M., Kurtz, W., Mielle, L., Molloy, C. S., Roth, R., Terentev, I. A. & Torres, M., 30/08/2023, (Accepted/In press) Arxiv.

    Research output: Working paperPreprint

  • Published

    The XMM Cluster Survey: Exploring scaling relations and completeness of the Dark Energy Survey Year 3 redMaPPer cluster catalogue

    Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, M., & 50 othersStott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. C., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J. & Wiseman, P., 31/07/2023, In: Monthly Notices of the Royal Astronomical Society. 522, 4, p. 5267-5290 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • E-pub ahead of print

    The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation

    WEAVE, 11/03/2023, (E-pub ahead of print) In: Monthly Notices of the Royal Astronomical Society.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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