Radial gradients in initial mass function sensitive absorption features in the Coma brightest cluster galaxies
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 465:1 (2017) 192-212
A fast machine learning based algorithm for MKID readout power tuning
ISSTT 2017 - 28th International Symposium on Space Terahertz Technology 2017-March (2017)
Abstract:
As high pixel count Microwave Kinetic Inductance Detector (MKID) arrays become widely adopted, there is a growing demand for automated device readout calibration. These calibrations include ascertaining the optimal driving power for best pixel sensitivity, which, because of large variations in MKID behavior, is typically performed by manual inspection. This process takes roughly 1 hour per 1000 MKIDs, making the manual characterization of ten-kilopixel scale arrays unfeasible. We propose the concept of using a machine-learning algorithm, based on a convolution neural network (CNN) architecture, which should reliably tune ten-kilopixel scale MKID arrays on the order of several minutes.Sensing and control of segmented mirrors with a pyramid wavefront sensor in the presence of spiders
Instituto de Astrofisica de Canarias (2017)
Characterizing the performance of cryogenic lens mounts for the HARMONI spectograph
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 9912 (2016) 99124q-99124q-11
Can the European ELT detect super-Earths? Measuring the contrast limit of an image slicer spectrograph in a laboratory experiment
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 9908 (2016) 99089r-99089r-8