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DiRAC-3 Operations 2019-2022 - Cambridge [2020-06 resubmission]

Lead Research Organisation: University of Cambridge
Department Name: Institute of Astronomy

Abstract

DiRAC-3 Operations 2019-2022 resubmission; This is an administrative resubmission to replace ST/S003800/1 which has already been peer-reviewed.

Publications

10 25 50
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Dai Z (2024) Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter in Monthly Notices of the Royal Astronomical Society

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Ibrahim D (2024) The impact of supernova feedback on the mass-metallicity relations in Monthly Notices of the Royal Astronomical Society

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Hoy C (2024) bilby in space: Bayesian inference for transient gravitational-wave signals observed with LISA in Monthly Notices of the Royal Astronomical Society

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Bennett E (2024) Singlets in gauge theories with fundamental matter in Physical Review D

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Santos-Santos I (2024) Anisotropies in the spatial distribution and kinematics of dwarf galaxies in the Local Group and beyond in Monthly Notices of the Royal Astronomical Society

 
Description Many new discoveries about the formation and evolution of galaxies, star formation, planet formation and particle physics theory have been made possible by the award.
Exploitation Route Many international collaborative projects are supported by our results
Sectors Aerospace

Defence and Marine

Digital/Communication/Information Technologies (including Software)

Education