Machine learning for high-energy interactions analysis

Abstract

Systems and methods for interpreting high-energy interactions on a sample are described in this application. In particular, this application describes analysis systems and methods, comprising impinging radiation from a source on an analyte, detecting energy interactions resulting from the impinging radiation using a detector, adjusting a signal emitted from the radiation detector using a pre-processing method to emphasize specific features of that signal, using a machine learning module to interpret specific parts of the adjusted signal, producing a quantitative and/or qualitative model using the machine learning module, and applying the quantitative and/or qualitative model to a separate energy interaction. The quantitative and qualitative models derived from this training can be applied to new detector inputs from the same or similar instruments. Other embodiments are described.