End-to-end deep learning pipeline for microwave kinetic inductance detector resonator identification and tuning

MLA

Fruitwala, Neelay, et al. “End-to-End Deep Learning Pipeline for Microwave Kinetic Inductance Detector Resonator Identification and Tuning.” Journal of Astronomical Telescopes, Instruments, and Systems, vol. 7, no. 2, May 2021, p. 028003. EBSCOhost, https://doi.org/10.1117/1.JATIS.7.2.028003.

APA

Fruitwala, N., Walter, A. B., Bailey, J. I., Dodkins, R., & Mazin, B. A. (2021). End-to-end deep learning pipeline for microwave kinetic inductance detector resonator identification and tuning. Journal of Astronomical Telescopes, Instruments, and Systems, 7(2), 028003. https://doi.org/10.1117/1.JATIS.7.2.028003

Chicago

Fruitwala, Neelay, Alex B. Walter, John I. Bailey, Rupert Dodkins, and Benjamin A. Mazin. 2021. “End-to-End Deep Learning Pipeline for Microwave Kinetic Inductance Detector Resonator Identification and Tuning.” Journal of Astronomical Telescopes, Instruments, and Systems 7 (2): 028003. doi:10.1117/1.JATIS.7.2.028003.