Oxford Centre for High Energy Density Science (OxCHEDS): publications

Overfitting by design: neural network density functionals for water

npj Computational Materials

Authors:

Sam Vinko, Karim Alaa El-Din, Antonius von Strachwitz, Ana Coutinho Dutra

Preparations for a European R&D Roadmap for an Inertial Fusion Demo Reactor

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Royal Society, The

Authors:

Peter Norreys, Luke Ceurvorst, James Sadler, Bt Spiers, Ramy Aboushelbaya, Marko Mayr, Robert Paddock, Alex Savin, Rhw Wang, K Glize, R Trines, R Bingham, Mp Hill, N Sircombe, M Ramsay, P Allan, L Hobbs, S James, J Skidmore, J Fyrth, J Luis, E Floyd, C Brown, Bm Haines, A Zlystra, Re Olson, Sa Yi, K Flippo, Pa Bradley, Rr Peterson, Jl Kline, Rj Leeper

Quantum Sensors for the Hidden Sector (QSHS) - A Summary of Our First Year!

Authors:

Ian Bailey, Bhaswati Chakraborty, Gemma Chapman, Ed Daw, Ling Hao, Edward Hardy, Edward Laird, Peter Leek, John Gallop, Gianluca Gregori, John March-Russell, Phil Meeson, Clem Mostyn, Yuri Pashkin, Searbhan O Peatain, Mitch Perry, Michele Piscitelli, Edward Romans, Subir Sarkar, Ningqiang Song, Mahesh Soni, Paul Smith, Boon-Kok Tan, Stephen West, Stafford Withington

Relativistic harmonics in the efficiency limit

Authors:

Robin Timmis, Colm Fitzpatrick, Jonathan Kennedy, Holly Huddleston, Elliott Denis, Abigail James, Chris Baird, Dan Symes, David McGonegle, Eduard Atonga, Heath Martin, Jeremy Rebenstock, John Neely, Jordan Lee, Nicolas Bourgeois, Oliver Finlay, Rusko Ruskov, Sam Astbury, Steve Hawkes, Matt Zepf, Karl Krushelnick, Edward Gumbrell, Paramel Pattathil Rajeev, Mark Yeung, Brendan Dromey, Peter Norreys

Retrieving fields from proton radiography without source profiles

Authors:

MUHAMMAD Kasim, AFA Bott, P Tzeferacos, DQ Lamb, G Gregori, SAM Vinko

Abstract:

Proton radiography is a technique in high energy density science to diagnose magnetic and/or electric fields in a plasma by firing a proton beam and detecting its modulated intensity profile on a screen. Current approaches to retrieve the integrated field from the modulated intensity profile require the unmodulated beam intensity profile before the interaction, which is rarely available experimentally due to shot-to-shot variability. In this paper, we present a statistical method to retrieve the integrated field without needing to know the exact source profile. We apply our method to experimental data, showing the robustness of our approach. Our proposed technique allows not only for the retrieval of the path-integrated fields, but also of the statistical properties of the fields.

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