Exoplanetary science with the Next Generation Transit Survey

Lead Research Organisation: University of Leicester
Department Name: Physics and Astronomy

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Armstrong D.J. (2018) Automatic vetting of planet candidates from ground-based surveys: Machine learning with NGTS in Monthly Notices of the Royal Astronomical Society

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Bayliss D (2018) NGTS-1b: a hot Jupiter transiting an M-dwarf in Monthly Notices of the Royal Astronomical Society

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Casewell S (2018) A low-mass eclipsing binary within the fully convective zone from the Next Generation Transit Survey in Monthly Notices of the Royal Astronomical Society

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Chaushev A (2019) Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey

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Chaushev A (2019) Classifying exoplanet candidates with convolutional neural networks: application to the Next Generation Transit Survey in Monthly Notices of the Royal Astronomical Society

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Costes J (2019) NGTS-8b and NGTS-9b: two non-inflated hot-Jupiters in Monthly Notices of the Royal Astronomical Society

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Eigmüller P (2019) NGTS-5b: a highly inflated planet offering insights into the sub-Jovian desert in Astronomy & Astrophysics

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Gill S (2019) NGTS and WASP photometric recovery of a single-transit candidate from TESS in Monthly Notices of the Royal Astronomical Society

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Gillen E (2020) NGTS clusters survey - I. Rotation in the young benchmark open cluster Blanco 1 in Monthly Notices of the Royal Astronomical Society

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Günther M (2017) Centroid vetting of transiting planet candidates from the Next Generation Transit Survey in Monthly Notices of the Royal Astronomical Society

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ST/N504117/1 30/09/2015 30/03/2021
1795021 Studentship ST/N504117/1 30/09/2016 30/03/2020 Liam Raynard
 
Title SAFPhot 
Description SAFPhot is an automatic data reduction, photometry and semi-automated analysis packaged. It has been optimised for data collected using the SHOC cameras on the SAAO 1m and 1.9m telescopes, however it should also be compatible with data taken from other photometric instruments/telescopes. The software is also tailored to the detection of exoplanet transit signals in photometric light curves. 
Type Of Technology Software 
Year Produced 2019 
Impact SAFPhot has become the main software employed by the NGTS consortium when analysing follow-up photometric data of exoplanet candidates. The use of SAFPhot has significantly reduced the time spent on data analysis, allowing promising candidates to be confirmed more promptly. 
URL https://github.com/apchsh/SAFPhot