Poster + Paper
14 June 2023 DFT-calculated IR spectra for spectrum-feature extraction
Samuel G. Lambrakos, Andrew Shabaev, Sonjae Wallace, Lou Massa
Author Affiliations +
Conference Poster
Abstract
Extraction of spectrum features for target molecules from measured spectra, for purpose of their detection, can be achieved by comparison to template spectra within a spectrum database, which are sufficient approximations of dominant spectral features. This study continues presentation of the concept of using Density Functional Theory (DFT) to calculate template spectra for practical detection of target substances, by comparison with spectra within databases. DFT-calculated spectra are well posed for comparison to measured spectra, as template spectra, to the extent of their scalability to larger space-time scales.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel G. Lambrakos, Andrew Shabaev, Sonjae Wallace, and Lou Massa "DFT-calculated IR spectra for spectrum-feature extraction", Proc. SPIE 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, 1254710 (14 June 2023); https://doi.org/10.1117/12.2659074
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Molecules

Databases

Feature extraction

Target detection

Dielectrics

Spectral density

Interpolation

Back to Top