Results 11 to 20 of about 39,077 (276)

Decoupled Object-Independent Image Features for Fine Phasing of Segmented Mirrors Using Deep Learning

open access: yesRemote Sensing, 2022
A segmented primary mirror is very important for extra-large astronomical telescopes, in order to detect the phase error between segmented mirrors. Traditional iterative algorithms are hard to detect co−phasing aberrations in real time due to the long ...
Yirui Wang   +4 more
doaj   +1 more source

Mirrors with regular hexagonal segments [PDF]

open access: yesApplied Optics, 2003
The point-spread function and emissivity are calculated for a mirror made from regular hexagonal segments of just a few different sizes. A mirror of this type has many similar segments, which is an advantage for manufacturing, and for an approximately f/1 mirror with > or = 1000 segments and > or = 4 sizes of regular hexagons the increase in ...
Dario, Amodei, Stephen, Padin
openaire   +2 more sources

Coarse Phasing Detection Using Multiwavelength Wavefront

open access: yesPhotonics, 2023
Presently, the segmented mirror is the mainstream development direction of large-aperture telescopes. The key problem affecting the performance of segmented mirror telescopes concerns the co-phase of the segments. The segments’ co-phase includes the fine
Rongjie Qin, Zihao Yin, Yinnian Liu
doaj   +1 more source

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

open access: yesPhotonics, 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   +1 more source

Towards Piston Fine Tuning of Segmented Mirrors through Reinforcement Learning

open access: yesApplied Sciences, 2020
Unlike supervised machine learning methods, reinforcement learning allows an entity to learn how to deploy a task from experience rather than labeled data.
Dailos Guerra-Ramos   +2 more
doaj   +1 more source

A Novel Tandem Differential Edge Sensor Layout for Segmented Mirror Telescopes

open access: yesSensors, 2023
The performance of an active control system, crucial for the co-phase maintenance of segmented mirrors, is closely related to the spatial layout of sensors and actuators.
Yinlong Huo   +5 more
doaj   +1 more source

Design of a Segmented Mirror with a Global Radius of Curvature Actuation System: Contributions of Multiple Surrogates

open access: yesApplied Sciences, 2020
Due to fabrication difficulties, separately-polished segmented mirrors cannot meet the co-phasing surface shape error requirements in the segmented telescope system.
Songhang Wu   +4 more
doaj   +1 more source

Spatial Spectrum Analysis of Wave-Front Correction with a Segmented Mirror [PDF]

open access: yes, 2003
An expression is derived for the spatial power spectrum of wave-front errors after correction with a segmented mirror. This includes estimates of the spectral contributions of segment piston and tilt corrections and spatial aliasing by a regular array of
Padin, Stephen
core   +1 more source

An Efficient Correction Algorithm for Eliminating Image Misalignment Effects on Co-Phasing Measurement Accuracy for Segmented Active Optics Systems. [PDF]

open access: yesPLoS ONE, 2016
The misalignment between recorded in-focus and out-of-focus images using the Phase Diversity (PD) algorithm leads to a dramatic decline in wavefront detection accuracy and image recovery quality for segmented active optics systems.
Dan Yue   +3 more
doaj   +1 more source

Piston Error Measurement for Segmented Telescopes Based on a Hybrid Artificial Neural Network

open access: yesSensors, 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.
Dan Yue   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy