Neinei -- The Neutron Imaging Center at the Brazilian Multipurpose Reactor

Neutron imaging is a non-destructive technique for analyzing a wide class of materials, such as archaeological or structures of industrial materials. Technological advances, in recent decades, have had a great impact on the neutron imaging technique, evolving from simple radiographs using films (2D) to modern tomography systems with digital processing (3D). The Instituto de Pesquisas Energ\'eticas e Nucleares (IPEN), in Brazil, houses a 5MW research nuclear reactor, called IEA-R1, where there is a neutron imaging instrument located at the beam hole 08 (BH08) with $1.0 \times 10^{6}$ $n/cm^{2}s$ in the sample position. IEA-R1 is over 60 years old and the future of neutron science in Brazil, including imaging, will be expanded on a new facility called the Brazilian Multipurpose Reactor (RMB). The RMB will house a suite of instruments at the Neutron National Laboratory, including the neutron imaging facility called Neinei. Inspired by recent work, we have calculated the thermal neutron flux at the sample position, using the Monte Carlo method, in the Neinei and compared it to the results obtained with the Neutra (PSI), Antares (FRM II), BT2 (NIST) and DINGO (OPAL) instruments. The results are promising and provide avenues for future improvements.Comment: 8 pages, 9 figures. Preprin

Low-temperature thermochronology of the South Atlantic margin along Uruguay and its relation to tectonic events in West Gondwana

The authors gratefully acknowledge the support from Shell Brasil through the “Shell - BG05: UoA-UFRGS-SWB Sedimentary Systems” project at UFRGS and the strategic importance of the support given by ANP through the R&D levy regulation. We thank Peter Reiners and his team at the Arizona Radiogenic Helium Dating Laboratory (US) for the (UTh)/He analyses and support during the data evaluation. The first author thanks the CNPq scholarship (SWE 204254/2017-5) during the exchange period at the University of Aberdeen. A.R. Jelinek also thanks the support from CNPq (Project 303184/2017-5). This manuscript was improved after helpful reviews by Mathias Hueck and an anonymous reviewer.Peer reviewedPostprin