Quantitative shadowgraphy and proton radiography for large intensity modulations

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics American Physical Society (2017)

Authors:

Muhammad Kasim, Luke Ceurvorst, Naren Ratan, James Sadler, Nicholas Chen, Alexander Savert, Raoul Trines, Robert Bingham, Philip N Burrows, Malte C Kaluza, Peter Norreys

Abstract:

Shadowgraphy is a technique widely used to diagnose objects or systems in various fields in physics and engineering. In shadowgraphy, an optical beam is deflected by the object and then the intensity modulation is captured on a screen placed some distance away. However, retrieving quantitative information from the shadowgrams themselves is a challenging task because of the non-linear nature of the process. Here, a novel method to retrieve quantitative information from shadowgrams, based on computational geometry, is presented for the first time. This process can also be applied to proton radiography for electric and magnetic field diagnosis in high-energy-density plasmas and has been benchmarked using a toroidal magnetic field as the object, among others. It is shown that the method can accurately retrieve quantitative parameters with error bars less than 10%, even when caustics are present. The method is also shown to be robust enough to process real experimental results with simple pre- and post-processing techniques. This adds a powerful new tool for research in various fields in engineering and physics for both techniques.

Enabling Radiative Transfer on AMR grids in CRASH

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) (2017) stx162

Authors:

N Hariharan, L Graziani, B Ciardi, F Miniati, H-J Bungartz

FARADAY ROTATION MEASURE SYNTHESIS OF INTERMEDIATE REDSHIFT QUASARS AS A PROBE OF INTERVENING MATTER

The Astrophysical Journal American Astronomical Society 829:2 (2016) 133

Authors:

Kwang Seong Kim, Simon J Lilly, Francesco Miniati, Martin L Bernet, Rainer Beck, Shane P O’Sullivan, Bryan M Gaensler

Playing the Game of Congklak with Reinforcement Learning

Institute of Electrical and Electronics Engineers (IEEE) (2016) 1-5

AWAKE, The Advanced Proton Driven Plasma Wakefield Acceleration Experiment at CERN

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment Elsevier 829 (2016) 76-82

Authors:

E Gschwendtner, E Adli, L Amorim, R Apsimon, R Assmann, A-M Bachmann, F Batsch, J Bauche, VK Berglyd Olsen, M Bernardini, R Bingham, B Biskup, T Bohl, C Bracco, PN Burrows, G Burt, B Buttenschön, A Butterworth, A Caldwell, M Cascella, E Chevallay, S Cipiccia, H Damerau, L Deacon, P Dirksen, S Doebert, U Dorda, J Farmer, V Fedosseev, E Feldbaumer, R Fiorito, R Fonseca, F Friebel, AA Gorn, O Grulke, J Hansen, C Hessler, W Hofle, J Holloway, M Hüther, D Jaroszynski, L Jensen, S Jolly, A Joulaei, M Kasim, F Keeble, Y Li, S Liu, N Lopes, KV Lotov, S Mandry, R Martorelli, M Martyanov, S Mazzoni, O Mete, VA Minakov, J Mitchell, J Moody, P Muggli, Z Najmudin, P Norreys, E Öz, A Pardons, K Pepitone, A Petrenko, G Plyushchev, A Pukhov, K Rieger, H Ruhl, F Salveter, N Savard, J Schmidt, A Seryi, E Shaposhnikova, ZM Sheng, P Sherwood, L Silva, L Soby, AP Sosedkin, RI Spitsyn, R Trines, PV Tuev, M Turner, V Verzilov, J Vieira, H Vincke, Y Wei, CP Welsch, M Wing, G Xia, H Zhang