Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference
  • (Optica Publishing Group, 2017),
  • paper EB_2_4

Cold-atom Inertial Sensor without Deadtime

Not Accessible

Your library or personal account may give you access

Abstract

We report the operation of a cold-atom inertial sensor in a joint interrogation scheme, where we simultaneously prepare a cold-atom source and operate an atom interferometer in order to eliminate dead times [1]. This is illustrated in Fig. 1. Dead times and noise aliasing are consequences of the sequential operation which is intrinsic to cold-atom interferometers. Both phenomena have deleterious effects on the performance of these sensors. We show that our continuous operation improves the short-term sensitivity of atom interferometers, by demonstrating a record rotation sensitivity of 100 nrad.s−1√Hz in a cold-atom gyroscope of 11 cm2 Sagnac area. We also demonstrate a rotation stability of 1 nrad.s−1 after 104 s of integration, improving previous results by an order of magnitude [2-4]. We expect that the continuous operation will allow cold-atom inertial sensors with long interrogation time to reach their full sensitivity, determined by the quantum noise limit.

© 2017 IEEE

PDF Article
More Like This
Experimental limits of an inertial sensor based on cold atoms interferometry

W. Chaibi, A. Gauguet, B. Canuel, A. Clairon, N. Dimarcq, D. Holleville, and A. Landragin
IB_4 International Quantum Electronics Conference (IQEC) 2007

Rotation rate measurements with a large area cold atom interferometer

A. Landragin, M. Altorio, R. Gautier, L. A. Sidorenkov, and R. Geiger
STu3F.4 CLEO: Science and Innovations (CLEO:S&I) 2020

Atom Interferometry and Inertial Sensors

P. Bouyer
LTuH2 Laser Science (LS) 2007

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.