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Photons Incoming: Webb Team Begins Aligning the Telescope – James Webb Space Telescope

Photons Incoming: Webb Team Begins Aligning the Telescope – James Webb Space Telescope
nasa.gov - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from nasa.gov Daily Mail and Mail on Sunday newspapers.

United States , Scott Acton , Chanda Walker , Lee Feinberg , Goddard Space Flight Center , Space Telescope Science Institute , Ball Aerospace , Near Infrared Camera , Space Flight Center , Alignment Over Instrument Fields , Segment Alignment , Phase Retrieval , Image Stacking , Disperse Fringe Sensor , Coarse Phasing , Dispersed Fringe Sensing , Fine Phasing , Space Flight ,

"Reconstruction of isolated moving objects by motion-induced phase shif" by Ke Wu, Min Li et al.

The reconstruction of moving objects based on phase shifting profilometry has attracted intensive interests. Most of the methods introduce the phase shift by projecting multiple fringe patterns, which is undesirable in moving object reconstruction as the errors caused by the motion will be intensified when the number of the fringe pattern is increased. This paper proposes the reconstruction of the isolated moving object by projecting two fringe patterns with different frequencies. The phase shift required by the phase shifting profilometry is generated by the object motion, and the model describing the motion-induced phase shift is presented. Then, the phase information in different frequencies is retrieved by analyzing the influence introduced by movement. Finally, the mismatch on the phase information between the two frequencies is compensated and the isolated moving object is reconstructed. Experiments are presented to verify the effectiveness of the proposed method. ....

Phase Retrieval , Hase Shifting Profilometry , Hase Unwrapping ,

"Modeling of Correlated Complex Sea Clutter Using Unsupervised Phase Re" by Liwu Wen, Jinshan Ding et al.


Abstract
The spatially and temporally correlated sea clutter with phase information is valuable for marine radar applications. The major difficulty of coherent sea clutter modeling is the generation of the continuous phases. This article presents a new phase retrieval approach for modeling the correlated complex sea clutter based on unsupervised neural networks. The unsupervised short-term and long-term neural networks have been developed for the phase retrieval on different term scales. Both these networks have the same input layer and feature extraction module, and however, the number of output neurons is different. The amplitude sea clutter series and the desired Doppler spectrum are fed into the network in parallel, and their features are extracted by two parallel bidirectional long short-term memory (Bi-LSTM) networks which sufficiently utilize the correlations of sea clutter data. These features are concatenated and fused by a residual network (ResNet). The phases can be ....

Ice Multiparameter Imagingx Band , Deep Neural Network Dnn , Ce Multiparameter Imagingx Band Ipix Data , Phase Retrieval , Ea Clutter Simulation ,