A Multi-Peak Detection Algorithm with Peak Width Measurement

This algorithm implements multi-peak detection capabilities designed for applications such as spectral analysis and nuclear signal processing. The core functionality accurately identifies peak positions while simultaneously calculating corresponding peak widths through sophisticated signal processing techniques. The implementation typically involves signal smoothing to reduce noise interference, followed by derivative-based peak localization methods. Key algorithmic components include threshold adaptation for dynamic peak detection and Gaussian fitting or full-width-at-half-maximum (FWHM) calculations for precise width measurements. As a general-purpose code solution, it features modular design with configurable parameters for sensitivity adjustment and noise tolerance, making it adaptable across various scientific research and engineering projects. The algorithm provides robust support for data analysis and signal processing workflows, offering reliable peak characterization through efficient computational methods that handle complex multi-peak scenarios with varying amplitudes and overlapping peaks.