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dc.contributor.authorSchiettekatte, François
dc.contributor.authorChicoine, Martin
dc.identifier.citationSchiettekatte, F., Chicoine, M. (2016). Spectrum simulation of rough and nanostructured targets from their 2D and 3D image by Monte Carlo methods. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 371, 106-110.
dc.description.sponsorshipCRSNG, FRQ-NTfr
dc.relation.ispartofseriesNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms ; vol. 371
dc.subjectMonte Carlo simulation
dc.subjection beam analysis
dc.titleSpectrum simulation of rough and nanostructured targets from their 2D and 3D image by Monte Carlo methodsfr
dc.contributor.affiliationFaculté des arts et des sciences - Département de physiquefr
dcterms.abstractCorteo is a program that implements Monte Carlo (MC) method to simulate ion beam analysis (IBA) spectra of several techniques by following the ions trajectory until a sufficiently large fraction of them reach the detector to generate a spectrum. Hence, it fully accounts for effects such as multiple scattering (MS). Here, a version of Corteo is presented where the target can be a 2D or 3D image. This image can be derived from micrographs where the different compounds are identified, therefore bringing extra information into the solution of an IBA spectrum, and potentially significantly constraining the solution. The image intrinsically includes many details such as the actual surface or interfacial roughness, or actual nanostructures shape and distribution. This can for example lead to the unambiguous identification of structures stoichiometry in a layer, or at least to better constraints on their composition. Because MC computes in details the trajectory of the ions, it simulates accurately many of its aspects such as ions coming back into the target after leaving it (re-entry), as well as going through a variety of nanostructures shapes and orientations. We show how, for example, as the ions angle of incidence becomes shallower than the inclination distribution of a rough surface, this process tends to make the effective roughness smaller in a comparable 1D simulation (i.e. narrower thickness distribution in a comparable slab simulation). Also, in ordered nanostructures, target re-entry can lead to replications of a peak in a spectrum. In addition, bitmap description of the target can be used to simulate depth profiles such as those resulting from ion implantation, diffusion, and intermixing. Other improvements to Corteo include the possibility to interpolate the cross-section in angle-energy tables, and the generation of energy-depth maps.fr
UdeM.VersionRioxxVersion acceptée / Accepted Manuscript

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