| Literature DB >> 28652493 |
A Hinton1, M Perea-Ortiz1, J Winch1, J Briggs1, S Freer1, D Moustoukas1, S Powell-Gill1, C Squire1, A Lamb1, C Rammeloo1, B Stray1, G Voulazeris1, L Zhu1, A Kaushik1, Y-H Lien1, A Niggebaum1, A Rodgers1, A Stabrawa1, D Boddice2, S R Plant1, G W Tuckwell3, K Bongs4, N Metje2, M Holynski1.
Abstract
The high precision and scalable technology offered by atom interferometry has the opportunity to profoundly affect gravity surveys, enabling the detection of features of either smaller size or greater depth. While such systems are already starting to enter into the commercial market, significant reductions are required in order to reach the size, weight and power of conventional devices. In this article, the potential for atom interferometry based gravimetry is assessed, suggesting that the key opportunity resides within the development of gravity gradiometry sensors to enable drastic improvements in measurement time. To push forward in realizing more compact systems, techniques have been pursued to realize a highly portable magneto-optical trap system, which represents the core package of an atom interferometry system. This can create clouds of 107 atoms within a system package of 20 l and 10 kg, consuming 80 W of power.This article is part of the themed issue 'Quantum technology for the 21st century'.Entities:
Keywords: gradiometry; gravity; survey
Year: 2017 PMID: 28652493 PMCID: PMC5487716 DOI: 10.1098/rsta.2016.0238
Source DB: PubMed Journal: Philos Trans A Math Phys Eng Sci ISSN: 1364-503X Impact factor: 4.226
Figure 1.Wave noise measured by a Scintrex CG-5 gravimeter. (Online version in colour.)
Figure 2.The noise cancelling effect of the gradiometer configuration in comparison to a conventional gravimeter when measuring the same buried signal. Operation of two or more gravimeters which refer to the same gravitational reference (i.e. the retroreflection mirror in an atom interferometer) necessitates common noise which is largely suppressed in the differential measurement. (Online version in colour.)
Typical sources of noise and their approximate size in a gravity survey. The right-hand columns indicate the effect of noise on an atom interferometry (AI) based quantum sensor with arrows describing whether the effect is more or less impactful.
| source of noise | approximate scale (measured using existing gravimeter) | Will it influence an AI gravimeter? | Will it influence an AI gradiometer? | |
|---|---|---|---|---|
| instrumental noise | tilt from vertical | 0–900 μGal (depending on tilt) | ✓ | ✓ |
| temperature on sensor | 130 μGal mK−1 | × | × | |
| linear creep on sensor springs | <2000 μGal d−1 | × | × | |
| environmental noise | celestial tides | up to 300 μGal in a day | ✓ | ↓ |
| ocean tidal loading | ≈±10 μGal | ✓ | ↓ | |
| atmospheric pressure | ≈3–7 μGal d−1 (0.3 μGal hPa−1) | ✓ | ↓ | |
| seismic noise (ocean waves and earthquakes) | ≈±50–300 μGal (correlated with the size and periodicity of ocean waves) | ✓ | × | |
| man-made noise (vibrations) | dependent on activity and distance from site | ✓ | × | |
| wind noise | short-term spikes of thousands of μGal depending on the weather and shelter | ✓ | × | |
| natural soil density variability | poorly understood but will depend on the type of soil | ✓ | ↑ | |
| measurement position noise | latitude | ≈0.8 μGal m−1 (at mid latitudes like the UK) | ✓ | × |
| height of sensor from centre of the Earth’s gravity | 308 μGal per m of elevation | ✓ | × | |
| terrain effects | ≈75 μGal m−1 of 1800 kg m−3 of material but depends on size and proximity of terrain and soil density | ✓ | ↓ | |
| buildings | depends on size and building material | ✓ | ↓ |
Figure 3.Showing the basic scheme of an atom interferometer. An atom cloud is placed in a superposition of two states through interaction with a laser beam. This gives two separated clouds travelling through space. The two are then recombined to create an interferometer. Measuring the population ratio of two states then provides a sensitive measure of gravity. (Online version in colour.)
Figure 4.Portable gravity sensor developed at the University of Birmingham as part of the DSTL Gravity Imager programme. (Online version in colour.)
Figure 5.(a) Assembled vacuum system. The custom three-dimensional MOT region is connected to the atom source and evacuation components via a four-way cross. All commercial components are stainless steel while our chamber is manufactured in-house from titanium. (Dimensions in mm.) (b) Generation of the six cooling forces used in the three-dimensional MOT geometry. A single, large diameter beam is incident on four reflective prisms and a flat mirror. The prisms form four transverse cooling forces while the incident and mirror-reflected beams provide the axial forces. (Online version in colour.)
Figure 6.Simulated magnetic field in the x–y plane from four permanent magnets placed outside the vacuum chamber. The central region has a linear profile suitable for atom trapping. (Online version in colour.)
Figure 7.Measurement of the transverse component of the magnetic field generated by four permanent neodymium magnets in the north-inward configuration. A fitted gradient of 10.94 G cm−1 is within an acceptable range for rubidium trapping experiments. (Online version in colour.)
Figure 8.Schematic of the light generation for trapping atoms. A 1560 nm seed laser is modulated by an EOM driven by a 6.5 GHz VCO to generate frequency sidebands. After amplification by an EDFA the light is doubled in frequency via second harmonic generation in a PPLN waveguide and sent through a fibre to the experiment. (Online version in colour.)
Figure 9.MOT signal seen by the photodiode. This plot shows the photodiode signal recorded as a function of laser frequency. The MOT is present on the 8 MHz frequency range. The signal of the MOT is approximately 46% of the total signal.
Figure 10.Locking stages. This plot shows the three steps used to find the MOT and stabilize the laser. Region I scans the frequency of the laser by 2.4 GHz in 31 s. Region II scans the laser on narrower frequency range of 160 MHz to determine the maximum MOT signal, set point, upper and lower bounds. Region III shows the laser frequency stabilized producing a MOT with the given set point.
Figure 11.Feedback loop to control the laser. Laser light is to deliver the MOT. The MOT signal is then detected by a photodiode. The photodiode signal is fed into the Arduino control which returns a correction to the piezo driver, which in this instance changes the laser frequency. (Online version in colour.)
Figure 12.(a,b) Laser system mounted around the vacuum chamber. The entire box can be closed off and easily transported with carrying handles fixed to the top. (Online version in colour.)