Method of analysing a spectral peak using a neural network

A spectrometer controller for a spectrometer, the spectrometer controller configured to:

• obtain an interfered peak using a detector of a spectrometer, wherein the interfered peak is produced by a plurality of spectral emissions of different wavelengths, each of the plurality of spectral emissions in the interfered peak incident on the detector at an associated detector location;
• for one or more of the spectral emissions of the interfered peak, generate an associated curve using a neural network, wherein the neural network is trained to output data indicative of a shape of the associated curve based on data representative of the associated detector location;
• and
• for one or more of the spectral emissions of the interfered peak, output the associated curve.

A spectrometry system comprising:

• a spectrometer comprising a detector, the spectrometer configured to generate a sample spectrum from a sample using the detector;
• a spectrometer controller configured to process the sample spectrum, the controller further configured to:
• obtain an interfered peak from the sample spectrum using the detector of the spectrometer, wherein the interfered peak is produced by a plurality of spectral emissions of different wavelengths, each of the plurality of spectral emissions in the interfered peak incident on the detector at an associated detector location;
• for one or more of the spectral emissions of the interfered peak, generate an associated curve using a neural network, wherein the neural network is trained to output data indicative of a shape of the associated curve based on data representative of the associated detector location;
• and
• for one or more of the spectral emissions of the interfered peak, output the associated curve.