Identification of one or more spectral features in a spectrum of a sample for a constituent analysis

US11293856B2 · kind B2 · utility

Assignees

• Fraunhofer-Gesellschaft zur förderung der angewandten Forschung e.V. · DE
• KARLSRUHER INSTITUT FÜR TECHNOLOGIE · DE

Inventors

• Julius Krause · Karlsruhe, DE
• Robin Gruna · Baden-Baden, DE

Key dates

• Filing date: Nov 8, 2018
• Grant date: Apr 5, 2022
• Expiry date: Nov 8, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N2201/1293
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

The invention relates to a method for identifying one or more spectral features in a spectrum (4, 5) of a sample for a constituent analysis of the sample, comprising providing the spectrum (4, 5), predefining an approximation function (6), which is a continuously differentiable mathematical function, respectively forming an (n−1)-th order derivative (7, 8, 9) of the spectrum (4, 5) and of the approximation function (6), wherein the number n>1, generating a correlation matrix (10) from the two (n−1)-th order derivatives (7, 8, 9), and respectively identifying the spectral feature or one of the spectral features in each case as a function of a local extremum (i) of the correlation matrix (10) for at least one extremum (i) of the correlation matrix (10) in order to simplify the constituent analysis of the sample.