Correctability limitations imposed by plane-wave scintillation in multiconjugate adaptive optics

Lee, Lawton H.; Baker, Gary J.; Benson, Robert S.

doi:10.1364/josaa.23.002602

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…Kernel amplitudes have promise for improving observations in optical regimes where small-to-moderate amplitude aberrations are a limiting noise source. While phase aberrations are under normal circumstances a much more severe problem, correcting amplitudes is useful under several circumstances: a) Amplitude errors arising from plane-wave atmospheric scintillation impose limitations on the performance of adaptive optics (Angel 1994;Lee et al 2006). In cases where these cannot be otherwise corrected, imaging performance may be enhanced by anchoring models or image reconstructions with kernel phases and amplitudes.…”

Section: Discussionmentioning

confidence: 99%

Kernel phase and kernel amplitude in Fizeau imaging

Pope¹

2016

Mon. Not. R. Astron. Soc.

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Kernel phase interferometry is an approach to high angular resolution imaging which enhances the performance of speckle imaging with adaptive optics. Kernel phases are selfcalibrating observables that generalize the idea of closure phases from non-redundant arrays to telescopes with arbitrarily shaped pupils, by considering a matrix-based approximation to the diffraction problem. In this paper I discuss the recent history of kernel phase, in particular in the matrix-based study of sparse arrays, and propose an analogous generalization of the closure amplitude to kernel amplitudes. This new approach can self-calibrate throughput and scintillation errors in optical imaging, which extends the power of kernel phase-like methods to symmetric targets where amplitude and not phase calibration can be a significant limitation, and will enable further developments in high angular resolution astronomy.

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Section: Discussionmentioning

confidence: 99%

Kernel phase and kernel amplitude in Fizeau imaging

Pope¹

2016

Mon. Not. R. Astron. Soc.

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“…There are many factors that cause wavefront reconstruction errors in AO like sensor alignment, sensor discretization, detector pixelization, detector SNR, detector readout noise, frame jitter, cross talk between lenslets, background light and scintillations effects due to large intensity fluctuations (also magnified while using a Laser Guide Star (LGS) as reference star), random spot wobbling during the exposure time and many other random effects [13]. It was shown theoretically and experimentally that the scintillations can greatly degrade the correction ability of AO systems [14]. Scintillations depend mainly on the Fried parameter which indicates the strength of turbulence and the variance of intensity [15].…”

Section: Figure 1 Principle Of Shack Hartmann Sensormentioning

confidence: 99%

Centroid Detection by Gaussian Pattern Matching in Adaptive Optics

Akondi¹,

Roopashree²,

Prasad³

2010

IJCA

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Shack Hartmann wavefront sensor is a two dimensional array of lenslets which is used to detect the incoming phase distorted wavefront through local tilt measurements made by recording the spot pattern near the focal plane. Wavefront reconstruction is performed in two stages -(a) image centroiding to calculate local slopes, (b) formation of the wavefront shape from local slope measurement. Centroiding accuracy contributes to most of the wavefront reconstruction error in Shack Hartmann sensor based adaptive optics system with readout and background noise. It becomes even more difficult in atmospheric adaptive optics case, where scintillation effects may also occur. In this paper we used a denoising technique based on thresholded Zernike reconstructor to minimize the effects due to readout and background noise. At low signal to noise ratio, this denoising technique can be improved further by taking the advantage of the shape of the spot. Assuming a Gaussian pattern for individual spots, it is shown that the centroiding accuracy can be improved in the presence of strong scintillations and background.

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“…In this paper, we experimentally determine the minimum strength of atmospheric turbulence that could prevent a successful attack on our free-space polarizationbased QKD receiver by emulating atmospheric turbulence using a phase-only spatial light modulator (SLM). Since there are limitations on how well adaptive optics arXiv:1902.01288v2 [quant-ph] 20 Jun 2019 can correct for turbulence, our paper explores to what level Eve must correct her attack beam to still be successful [32,33]. We assume that the sender (Alice) and the receiver (Bob) only monitor the total count rates (as opposed to the rates of individual channels), and that they use a non-decoy state BB84Bennett-Brassard 1984 (BB84) protocol [1].…”

Section: Introductionmentioning

confidence: 99%

Eavesdropper's ability to attack a free-space quantum-key-distribution receiver in atmospheric turbulence

et al. 2019

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The ability of an eavesdropper (Eve) to perform an intercept-resend attack on a free-space quantum key distribution (QKD) receiver by precisely controlling the incidence angle of an attack laser has been previously demonstrated. However, such an attack could be ineffective in the presence of atmospheric turbulence due to beam wander and spatial mode aberrations induced by the air's varying index of refraction. We experimentally investigate the impact turbulence has on Eve's attack on a free-space polarization-encoding QKD receiver by emulating atmospheric turbulence with a spatial light modulator. Our results identify how well Eve would need to compensate for turbulence to perform a successful attack by either reducing her distance to the receiver, or using beam wavefront correction via adaptive optics. Furthermore, we use an entanglement-breaking scheme to find a theoretical limit on the turbulence strength that hinders Eve's attack.

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Correctability limitations imposed by plane-wave scintillation in multiconjugate adaptive optics

Cited by 7 publications

References 18 publications

Kernel phase and kernel amplitude in Fizeau imaging

Kernel phase and kernel amplitude in Fizeau imaging

Centroid Detection by Gaussian Pattern Matching in Adaptive Optics

Eavesdropper's ability to attack a free-space quantum-key-distribution receiver in atmospheric turbulence

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