@article{article_1662027, title={EXTRACTING A MUCH WIDER ABSORPTION SPECTRAL RANGE FROM A NARROWER RANGE USING TRANSFORMER MODEL}, journal={Konya Journal of Engineering Sciences}, volume={13}, pages={991–998}, year={2025}, DOI={10.36306/konjes.1662027}, author={Eken, Enes and Bayraklı, İsmail}, keywords={Machine Learning, Deep Learning, Transformer, Lasers, Absorption}, abstract={Obtaining a wide absorption spectral range rapidly at high resolution plays a crucial role in scientific research and practical applications. The main motivation of this work is to investigate the rapid acquisition of a very wide spectral range at high resolution by using a much narrower absorption spectral range. To accomplish this, we proposed a novel transformer-based approach that produces a wider absorption spectral range (100 cm−1 ) with high resolution in milliseconds from a narrow absorption spectral range (2 cm−1 ). A distributed feedback quantum cascade laser (DFB QCL) together with a multi-pass cell was used to obtain the absorption lines. To evaluate the performance of the sensor, N2O was selected as the target molecule.}, number={4}, publisher={Konya Technical University}