Acknowledgements

This work was supported by the Brazilian entities CAPES, CNPq, PPSUS, Fapemig. Fundamental contributions come from the DOE ASCR ECRP "Image across Domains, Experiments, Algorithms, and Learning", Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This (research, publication, project, Web site, report, etc.) is funded in part by the Gordon and Betty Moore Foundation through Grant GBMF3834 and by the Alfred P. Sloan Foundation through Grant 2013-10-27 to the University of California, Berkeley. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Energy or the University of California.