@inproceedings{1576588,

	author = {Popp, J. and  Haider, M. and  Franckié, M. and  Faist, J. and  Jirauschek, C.},
	title = {Numerical Optimization of Quantum Cascade Detector Heterostructures},
	booktitle = {International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)},
	year = {2020},

        month = {Sep},


        publisher = {IEEE Digital Explorer},





        isbn = {978-1-7281-6087-0 },

        doi = {10.1109/NUSOD49422.2020.9217784},

        language = {en},

        abstract = {We demonstrate a Bayesian optimization framework for quantum cascade (QC) devices in the mid-infrared (mid-IR) and terahertz (THz) regime. The optimization algorithm is based on Gaussian process regression (GPR) and the devices are evaluated using a perturbed rate equation approach based on scattering rates calculated self-consistently by Fermi's golden rule or alternatively extracted from an Ensemble Monte Carlo (EMC) simulation tool. Here, we focus on the optimization of a mid-IR quantum cascade detector (QCD) at a wavelength of 4.7μm with respect to the specific detectivity as a measure for the signal to noise ratio. At a temperature of 220 K we obtain an improvement in specific detectivity by a factor ∼2.6 to a value of 2.6×108 Jones.},

        keywords = {     Quantum cascade lasers     ,     Optimization     ,     Mathematical model     ,     Detectors     ,     Ground penetrating radar     ,     Electromagnetic compatibility     ,     Temperature measurement},

	
        url = {https://ieeexplore.ieee.org/document/9217784},
}