2020
DOI: 10.1364/oe.399988
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Robust inertial sensing with point-source atom interferometry for interferograms spanning a partial period

Abstract: Point source atom interferometry (PSI) uses the velocity distribution in a cold atom cloud to simultaneously measure one axis of acceleration and two axes of rotation from the spatial distribution of interferometer phase in an expanded cloud of atoms. Previously, the interferometer phase has been found from the phase, orientation, and period of the resulting spatial atomic interference fringe images. For practical applications in inertial sensing and precision measurement, it is important to be able to measure… Show more

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Cited by 6 publications
(3 citation statements)
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“…Free-space and point-source AIs typically employ atomic fountains or dropped/freely expanding atom clouds. The point-source method supports efficient readout and data reduction [36], enables high bandwidth, and affords efficiency in the partial-fringe regime. Atomic fountains, typically employed in free-space AI, maximize interferometric time and thus increase sensitivity [25][26][27], but may require large experimental setups.…”
Section: Introductionmentioning
confidence: 99%
“…Free-space and point-source AIs typically employ atomic fountains or dropped/freely expanding atom clouds. The point-source method supports efficient readout and data reduction [36], enables high bandwidth, and affords efficiency in the partial-fringe regime. Atomic fountains, typically employed in free-space AI, maximize interferometric time and thus increase sensitivity [25][26][27], but may require large experimental setups.…”
Section: Introductionmentioning
confidence: 99%
“…Free-space and point-source AIs typically employ atomic fountains or dropped / freely expanding atom clouds. The pointsource method supports efficient readout and data reduction [36], enables high bandwidth, and affords efficiency in the partial-fringe regime. Atomic fountains, typically employed in free-space AI, maximize interferometric time and thus increase sensitivity [25][26][27], but may require large experimental setups.…”
Section: Introductionmentioning
confidence: 99%
“…A challenge in AI design is to achieve a high degree of sensitivity with respect to the measured quantity (e.g., an acceleration) while minimizing geometrical footprint of the apparatus and maximizing readout bandwidth to allow for practical applications. Types of AIs include free-space [21][22][23], point-source [24][25][26], and guided-wave [27,28] AIs. Free-space and pointsource AIs typically employ atomic fountains or dropped atom clouds.…”
mentioning
confidence: 99%