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PG module - Habitability in the Universe

The Centre for Exoplanets and Habitability convenes a Postgraduate module, "Habitability in the Universe", which is run by the Institute for Advance Teaching and Learning. This module is open to all postgraduates, from all disciplines, and covers the subject of habitability from myriad perspectives. More details can be found on the module's home page.


Welcome

Welcome to the website of the Centre for Exoplanets and Habitability (CEH) at the University of Warwick. The CEH is a cross-disciplinary research centre that draws upon expertise from departments across the university. It is a collaborative project which works with both the sciences and arts in order to consider life beyond, and on, this planet. We are a newly formed University Research Centre looking for funding to develop our research goals. Please explore our webpages, and feel free to contact us if you would like to get involved.


Ground-based detection of G star superflares with NGTS

CEH member James Jackman leads a recent study of flares in G-type stars, as observed using NGTS. The study shows that G-stars can have flares many times the energy of the Carrington event, and the primary detection is one of the largest amplitude superflares detected from a bright G star. 

This work was published in Monthly Notices of the Royal Astronomical Society, Volume 477, Issue 4, p.4655-4664

CEH members involved:
- James Jackman
- Peter Wheatley
- Chloe Pugh
- Boris Gänsicke
- Anne-Marie Broomhall
- David Armstrong
- James McCormac


Cool DZ white dwarfs II: compositions and evolution of old remnant planetary systems

CEH member Boris Gänsicke was part of a new study which examines pollution of cool DZ white dwarfs.

This work was published in Monthly Notices of the Royal Astronomical Society, Volume 477, Issue 1, p.93-111

CEH members involved:
- Boris Gänsicke


Automatic vetting of planet candidates from ground based surveys: Machine learning with NGTS

CEH member David Armstrong has published a new study on automatic vetting of exoplanet candidates using machine learning techniques. In this work he applies it to candidates from NGTS, but the technique is extendable to other transiting exoplanet surveys.

This work will be published in MNRAS, and is currently in advance access.

CEH members involved:
- David Armstrong
- James McCormac
- Daniel Bayliss
- Tom Louden
- Don Pollacco
- Richard West
- Peter Wheatley


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