Generalised Inference and Inferential Modelling
Abstract
We introduce and experimentally demonstrate a miniaturized integrated spectrometer operating over a broad bandwidth in the short-wavelength infrared (SWIR) spectrum that combines an add-drop ring resonator narrow band filter with a distributed Bragg reflector (DBR) based broadband filter realized in a silicon photonic platform. The contra-directional coupling DBR filter in this design consists of a pair of waveguide sidewall gratings that act as a broadband filter (i.e., 3.9 nm). The re-directed beam is then fed into the ring resonator which functions as a narrowband filter (i.e., 0.121 nm). In this scheme the free spectral range (FSR) limitation of the ring resonator is overcome by using the DBR as a filter to isolate a single ring resonance line. The overall design of the spectrometer is further simplified by simultaneously tuning both components through the thermo-optic effect. Moreover, several ring-grating spectrometer cells with different central wavelengths can be stacked in cascade in order to cover a broader spectrum bandwidth. This can be done by centering each unit cell on a different center wavelength such that the maximum range of one-unit cell corresponds to the minimum range of the next unit cell. This configuration enables high spectral resolution over a large spectral bandwidth and high extinction ratio (ER), making it suitable for a wide variety of applications.
Cite
Text
Jennings et al. "Generalised Inference and Inferential Modelling." International Joint Conference on Artificial Intelligence, 1991. doi:10.1364/oe.424443Markdown
[Jennings et al. "Generalised Inference and Inferential Modelling." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/jennings1991ijcai-generalised/) doi:10.1364/oe.424443BibTeX
@inproceedings{jennings1991ijcai-generalised,
title = {{Generalised Inference and Inferential Modelling}},
author = {Jennings, Raymond E. and Chan, Christine W. and Dowad, M. J.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1991},
pages = {1046-1051},
doi = {10.1364/oe.424443},
url = {https://mlanthology.org/ijcai/1991/jennings1991ijcai-generalised/}
}