TY - GEN
T1 - Beam Profiling with Noise Reduction from Computer Vision and Principal Component Analysis for the MAGIS-100 Experiment
AU - Jachinowski, Joseph
AU - Sachdeva, Natasha
AU - Kovachy, Tim
N1 - Funding Information:
We acknowledge support from Gordon and Betty Moore Foundation Grant GBMF7945, Office of Naval Research Grant Number N00014-19-1-2181, National Institute of Standards and Technology Grant Number 60NANB19D168, and the David and Lucile Packard Foundation through a Packard Fellowship for Science and Engineering.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - MAGIS-100 is a long-baseline atom interferometer that operates as a quantum sensor. It will search for dark matter, probe fundamental quantum science, and serve as a prototype gravitational wave detector in the 0.3 to 3 Hz frequency range. The experiment uses light-pulse atom interferometry where pulses of light create the atom optics equivalents of beamsplitters and mirrors. Laser beam aberrations are a key source of systematic error for MAGIS-100, and accurately characterizing the laser beam spatial profile is therefore essential. In this paper, we describe a new and efficient beam profiling technique. We use a low-cost CMOS camera affixed to a translating and rotating optomechanical mount to image the beam, then employ computer vision and principal component analysis to minimize background noise and produce accurate beam profiles for a laser incident on a variety of aberration-inducing optical elements.
AB - MAGIS-100 is a long-baseline atom interferometer that operates as a quantum sensor. It will search for dark matter, probe fundamental quantum science, and serve as a prototype gravitational wave detector in the 0.3 to 3 Hz frequency range. The experiment uses light-pulse atom interferometry where pulses of light create the atom optics equivalents of beamsplitters and mirrors. Laser beam aberrations are a key source of systematic error for MAGIS-100, and accurately characterizing the laser beam spatial profile is therefore essential. In this paper, we describe a new and efficient beam profiling technique. We use a low-cost CMOS camera affixed to a translating and rotating optomechanical mount to image the beam, then employ computer vision and principal component analysis to minimize background noise and produce accurate beam profiles for a laser incident on a variety of aberration-inducing optical elements.
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U2 - 10.1109/CAMA49227.2021.9703619
DO - 10.1109/CAMA49227.2021.9703619
M3 - Conference contribution
AN - SCOPUS:85126803499
T3 - 2021 IEEE Conference on Antenna Measurements and Applications, CAMA 2021
SP - 423
EP - 428
BT - 2021 IEEE Conference on Antenna Measurements and Applications, CAMA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Conference on Antenna Measurements and Applications, CAMA 2021
Y2 - 15 November 2021 through 17 November 2021
ER -