Radiation modelling infrastructure and methods for JUICE at IRF JUICE Radiation Modelling Workshop, Aberystwyth 28-30 November 2012 Stefan Karlsson, Stas Barabash, Leif Kalla, Magnus Oja, Martin Wieser Swedish Institute of Space Physics 1 Jupiter is a challange 10mm => Bebi= 5krad JUICE= 235krad Electrons dominates. A 3D radiation transport simulation tools will be usefull during all JUICE mission phases. 2 Radiation simulation tools From ECSS-E-HB-10-12A (Calculation of radiation and its effects and margin policy handbook) 3 Why GRAS* IRF need an engineering tool for radiation transport. GRAS includes all common analysis modulesEasy to use (REST-SIM will make use even easier and more effective). ”Free software” Development supported by ESA Geant4 physics models has strong heritage Validated. * Geant4 Radiation for Space, G Santin, V Ivanchenko, H Evans, P Nieminen, and E Daly, “GRAS: a general-purpose 3-D Modular Simulation tool for space environment effects analysis,” IEEE Trans Nucl Sci, 52, no 6, pp2294–2299, 2005. URL: http://space-env.esa.int/R_and_D/gras/ 4 Radiation modelling infrastructure at IRF 5 Geometry production (Tesselation) Checks for interference between parts Checks the tesselation Time consuming! But usefull! /gras/geometry/util/listLogicalVolumes 6 Geometry: Working with multilayer For example: Light shield: Vacuum – Vacuum – Aluminium – Aluminium Heavy shield: Aluminium – Aluminium – Tantalum – Aluminium 7 First shielding estimates Using SSAT* to produce shielding maps is an effective way to discover weknesses in the shielding of your 3D model. *F.Lei, P.Truscott, G.Santin, M.Gadsson, SSAT “Sectoring Shielding Analysis Tool based on Geant4” URL: http://reat.space.qinetiq.com/ssat/ 8 Dose distribution plots 9 GRAS FMC Add multiple detectors on Printed Ciruit board Use sorce biasing, 1/E spectrum to increase statistics Use loops to insert analysis modules setting histograms /control/loop macros/analysis_dose.loop module 1 144 1 /control/loop macros/analysis_fluence.loop module 1 6 1 /control/loop macros/set_dose_histogram.loop module 0 292 1 10 GRAS RMC Make it possible to use very small sensitive detectors Many simulation cases can be performed on a single computer. Quite new feture in GRAS, some uncertainties exists, updated ongoing 11 GRAS RMC Example How small is the Shieldose solid sphere….if it had existed? To Europa Europa phase Jupiter HL to Callisto To Ganymede Ganymede science SHD2Q (4mm) GRAS 3.1 RMC (4mm) SHD2Q (10mm) GRAS 3.1 RMC (10mm) 113000 114440 25000 20020 65000 55990 17000 10086 72000 80433 14000 13217 127000 159570 20000 25510 782000 886090 156000 153500 Sum 1159000 1296523 232000 222333 Table 1: Data for 8um (Si) solid sphere, SHD2Q JES4.9 vs GRAS RMC 3.1. 12 Particle Environment Package (PEP) Particle Environment Package (PEP) is a particle instrument being proposed for the JUICE mission During AO work first radiation analysis was performed This work covers the essential issues of Total Ionizing Dose, fluence of particles at sensor level, and charging effects. PEP uses mutal shieling by packing several instrument in a dense package. 13 Some Total dose result Without added shielding Added shielding 14 Mutal shielding in dense package Without added shielding Added shielding 15 Some fluence result 16 Some internal charging result Phase Description 1 2 3 4 5 6 7 8 Transfer to Europa Europa phase Jupiter HL to Callisto Transfer to Ganymede Ganymede incl. shielding Worst case e- fluence [/cm2/sr/s] Worst case e- fluence [/cm2/sr/s] 12h Worst case e- fluence [/cm2/sr/s] 24h Energy range [MeV] 0.02-1000 0.02-1000 0.02-1000 0.02-1000 0.02-1000 0.02-1000 0.02-1000 0.02-1000 17 Graded shields in the 3D model In this case: Only small reduction in electrom flux, 4% Good reduction for gamma, 15% 18 Lesson learned Spend time to get your tessellated 3D geometry error free before starting simulations, save time in the long run. During radiation iterative process useful with some kind of parallel system. Add more shielding than necessary, multi layered, then it is no need for new geometry creation for every simulation case. 19