Demonstration of a photonic-lantern focal-plane wavefront sensor using fiber mode conversion and deep learning
Demonstration of a photonic-lantern focal-plane wavefront sensor using fiber mode conversion and deep learning
复制标题
使用光纤模式转换和深度学习演示光子灯笼焦平面波前传感器
DOI:
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复制
发表时间:
2022
期刊:
影响因子:
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通讯作者:
M. Fitzgerald
中科院分区:
文献类型:
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作者:
B. Norris;Jin Wei;C. Betters;S. Leon;Yinzi Xin;Jonathan Lin;Yoo Jung Kim;S. Sallum;J. Lozi;S. Vievard;O. Guyon;P. Gatkine;N. Jovanovic;D. Mawet;M. Fitzgerald
A focal plane wavefront sensor offers major advantages to adaptive optics, including removal of non-commonpath error and providing sensitivity to blind modes (such as petalling). But simply using the observed point spread function (PSF) is not sufficient for wavefront correction, as only the intensity, not phase, is measured. Here we demonstrate the use of a multimode fiber mode converter (photonic lantern) to directly measure the wavefront phase and amplitude at the focal plane. Starlight is injected into a multimode fiber at the image plane, with the combination of modes excited within the fiber a function of the phase and amplitude of the incident wavefront. The fiber undergoes an adiabatic transition into a set of multiple, single-mode outputs, such that the distribution of intensities between them encodes the incident wavefront. The mapping (which may be strongly non-linear) between spatial modes in the PSF and the outputs is stable but must be learned. This is done by a deep neural network, trained by applying random combinations of spatial modes to the deformable mirror. Once trained, the neural network can instantaneously predict the incident wavefront for any set of output intensities. We demonstrate the successful reconstruction of wavefronts produced in the laboratory with low-wind-effect, and an on-sky demonstration of reconstruction of low-order modes consistent with those measured by the existing pyramid wavefront sensor, using SCExAO observations at the Subaru Telescope.
DOI:
10.1364/josab.423664
发表时间:
2021
期刊:
Journal of the Optical Society of America B
影响因子:
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作者:
Lin, Jonathan;Jovanovic, Nemanja;Fitzgerald, Michael P.
通讯作者:
Fitzgerald, Michael P.
影响因子:
27.1
作者:
Birks, T. A.;Gris-Sanchez, I.;Thomson, R. R.
通讯作者:
Thomson, R. R.
DOI:
10.1117/12.2630692
发表时间:
2022
期刊:
Adaptive Optics Systems VIII
影响因子:
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作者:
Lin, Jonathan;Xin, Yinzi;Norris, Barnaby R.;Kim, Yoo Jung;Sallum, Steph;Betters, Christopher;Leon-Saval, Sergio;Lozi, Julien;Vievard, Sebastian;Guyon, Olivier
通讯作者:
Guyon, Olivier