From camera to cosmology with LSST weak lensing magnification
Mirror with clouds…

From camera to cosmology with LSST weak lensing magnification

Student: Constance MahonyPhD supervisors: Benjamin Joachimi (Astro), Andreas Korn (HEP)Entry year: October 2016Completed: October 2020

Towards Dark Matter discovery with direct, production, and indirect searches
Dark Matter

Towards Dark Matter discovery with direct, production, and indirect searches

Student: Nicholas AngelidesPhD supervisors: Chamkaur Ghag (HEP), Andrew Pontzen (Astro)Entry year: October 2017Completed: September 2021

Understanding the effect of neutrinos on large scale structure
A wide-angle view of the NOAO Mayall 4-meter telescope on Kitt Peak National Observatory, P. Marenfeld & NOAO/AURA/NSF…

Understanding the effect of neutrinos on large scale structure

Student: Chris PedersenPhD supervisors: Ofer Lahav (Astro), Tom Kitching (MSSL)Entry year: October 2017Completed: August 2021

Searching for Dark Matter with Deep Learning
LUX researchers, seen here in a clean room on the surface at the Sanford Lab, work on the interior of the detector, before it is inserted into its titanium cryostat, Lawrence Livermore National Laboratory…

Searching for Dark Matter with Deep Learning

Student: Omar JahangirPhD supervisors: Chamkaur Ghag (HEP), Tim Scanlon (HEP)Entry year: October 2017Completed: September 2021

Machine learning for the era of multi-messenger astronomy
Gravitational Waves versus matter, credit Karan Jani, Georgia Tech

Machine learning for the era of multi-messenger astronomy

Student: Catarina AlvesPhD supervisors: Hiranya Peiris (Astro), Jason McEwen (MSSL)Entry year: October 2018

Probing the Universe's expansion with standard sirens
Observable Universe Illustration

Probing the Universe's expansion with standard sirens

Student: Francesca GerardiPhD supervisors: Benjamin Joachimi (Astro), Andreu Font-Ribera (External)Entry year: October 2019

Pioneering the mapping of dark matter with the LSST
Dome at night

Pioneering the mapping of dark matter with the LSST

Student: Benjamin StölznerPhD supervisors: Benjamin Joachimi (Astro), Andreas Korn (HEP)Entry year: January 2019 

Optimal fundamental physics information from cosmic large-scale structure maps 
Eso1528a cropped

Optimal fundamental physics information from cosmic large-scale structure maps 

Student: Kiyam Lin PhD supervisors: Benjamin Joachimi (Astro), Jason McEwen (MSSL)Entry year: October 2020

AI insights into dark matter halo formation
Large scale structure of the Universe, formed in a simulation from gravitational instability acting on tiny initial density fluctuations. Credit: Andrew Pontzen and Fabio Governato

AI insights into dark matter halo formation

Student: Lillian GuoPhD supervisors: Hiranya Peiris (Astro), Andrew Pontzen (Astro)Entry year: October 2020

Exploring the dark universe with quantum technologies
Exploring the universe image

Exploring the dark universe with quantum technologies

Student: Fiona Alder PhD supervisors: Peter Barker (AMOPP) , Chamkaur Ghag (HEP)Entry year: October 2020

Cosmology from quantum information theory
cosmology

Cosmology from quantum information theory

Student: Emanuele PanellaPhD supervisors: Jonathan Oppenheim (AMOPP), Andrew Pontzen (Astro)Entry year: October 2021

Towards the era of multi-messenger neutrino astronomy with the P-ONE experiment
Opening a new window

Towards the era of multi-messenger neutrino astronomy with the P-ONE experiment

Student: Beatrice CrudelePhD supervisors: Matteo Agostini (HEP), Kinwah Wu (MSSL)Entry year: October 2022