Quota Studentship 2012

Lead Research Organisation: UNIVERSITY COLLEGE LONDON

Department Name: Physics and Astronomy

Abstract

Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

Funded Value:

£1,014,594

Funded Period:

Sep 12 - Sep 17

Funder:

STFC

Project Status:

Closed

Project Category:

Training Grant

Project Reference:

ST/K502406/1

Research Topic:

Unclassified

Organisations

UNIVERSITY COLLEGE LONDON (Lead Research Organisation)

People	ORCID iD
Jonathan Tennyson (Training Grant Holder)	http://orcid.org/0000-0002-4994-5238

Publications

Author Name

Title Publication Date Published

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Zingales T (2018) ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks in The Astronomical Journal

Zingales T (2018) ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks

Yip K (2024) On The Compatibility of Ground-based and Space-based Data: WASP-96 b, An Example

Yip K (2019) Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning

Yip K (2018) Integrating light-curve and atmospheric modelling of transiting exoplanets

Yip K (2020) On The Compatibility of Ground-based and Space-based Data: WASP-96 b, An Example

Yip K (2024) Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals

Yip K (2021) Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals in The Astronomical Journal

Yip K (2022) To Sample or Not To Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalising Flows

Yip K (2020) Integrating Light Curve and Atmospheric Modeling of Transiting Exoplanets in The Astronomical Journal

Abstract

Organisations

People

ORCID iD

Publications