Results 1 to 10 of about 9,090 (160)

Piston Error Measurement for Segmented Telescopes with an Artificial Neural Network. [PDF]

open access: goldSensors (Basel), 2021
A piston error detection method is proposed based on the broadband intensity distribution on the image plane using a back-propagation (BP) artificial neural network.
Yue D, He Y, Li Y.
europepmc   +7 more sources

Piston Error Automatic Correction for Segmented Mirrors via Deep Reinforcement Learning. [PDF]

open access: goldSensors (Basel)
The segmented mirror co-phase error identification technique based on supervised learning methods has the advantages of simple application conditions, no dependence on custom sensors, a fast calculation speed, and low computing power requirements ...
Li D, Wang D, Yan D.
europepmc   +6 more sources

Piston Error Measurement for Segmented Telescopes Based on a Hybrid Artificial Neural Network. [PDF]

open access: goldSensors (Basel), 2023
To address the difficulty and complexity of detecting piston errors for segmented telescopes, this paper proposes a new piston error measurement method based on a hybrid artificial neural network.
Yue D, Song P, Wang C, Chuai Y.
europepmc   +4 more sources

Piston Error Extraction from Dual-Wavelength Interference Patterns Using Phase Retrieval Technique [PDF]

open access: goldPhotonics, 2022
As next-generation large-aperture telescopes, synthetic aperture is a promising method for realizing high resolution observations. Co-phasing the misaligned segmented aperture is an important procedure for high-resolution observations with segmented ...
Xiaoyang Li   +4 more
doaj   +4 more sources

High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering

open access: goldIEEE Photonics Journal
Piston error is the main component of the co-phase errors of segmented telescopes. In this paper, we innovatively performed frequency domain filtering and processing on the focal plane image of the segmented telescopes with mask added, and obtained the ...
Dequan Li, Dong Wang
doaj   +3 more sources

THE MECHANISM OF FORMATION OF ERRORS MACHINING OF THE PISTON AND CONNECTING ROD

open access: diamondВестник Дагестанского государственного технического университета: Технические науки, 2016
Researches allowing to expose the mechanism of error formation of the axial piston sizes of ship small-sized diesels rods for the purpose of improvement of production process technology and stabilization of geometrical parameters are given.
N. K. Sanaev
doaj   +4 more sources

Large Piston Error Detection Method Based on the Multiwavelength Phase Shift Interference and Dynamic Adjustment Strategy [PDF]

open access: goldPhotonics, 2022
As the loading space in rockets and mirror fabrication technology is limited, optical systems in space cannot have large optical apertures. However, the successful launch and excellent performance of the James Webb Telescope indicate that segmented ...
Rongjie Qin   +3 more
doaj   +2 more sources

Research on piston error sensing for segmented mirrors under atmospheric turbulence

open access: goldOptics Express, 2023
Large aperture ground-based segmented telescopes typically use electrical edge sensors to detect co-phase errors. However, complex observing environments can lead to zero-point drift of the edge sensors, making it challenging to maintain the long-term co-phase of the segmented primary mirror using only edge sensors.
Bin Wang   +4 more
openalex   +3 more sources

Phasing piston error in segmented telescopes

open access: goldOptics Express, 2016
To achieve a diffraction-limited imaging, the piston errors between the segments of the segmented primary mirror telescope should be reduced to λ/40 RMS. We propose a method to detect the piston error by analyzing the intensity distribution on the image plane according to the Fourier optics principle, which can capture segments with the piston errors ...
Junlun Jiang, Weirui Zhao
openalex   +3 more sources

Extending Capture Range for Piston Error in Segmented Primary Mirror Telescopes Based on Wavelet Support Vector Machine With Improved Particle Swarm Optimization [PDF]

open access: goldIEEE Access, 2020
In the co-phasing techniques applied to the segmented telescope, a Shack-Hartmann wavefront sensor cannot accurately detect the piston error of the segment. Although the phase diversity (PD) algorithm can detect the piston error of each segment, it fails
Haifeng Cao   +4 more
doaj   +2 more sources

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