Single-Shot Spectral Sensor Based on a Multi-Pixel Near-Infrared Array

Author(s):  
Kaylee D. Hakkel ◽  
Maurangelo Petruzzella ◽  
Francesco Pagliano ◽  
Anne van Klinken ◽  
Fang Ou ◽  
...  
1991 ◽  
Vol 148 ◽  
pp. 205-206 ◽  
Author(s):  
A. Krabbe ◽  
J. Storey ◽  
V. Rotaciuc ◽  
S. Drapatz ◽  
R. Genzel

Images with subarcsec spatial resolution in the light of near-infrared atomic (Bry) and molecular hydrogen H2 (S(1) v=1-0) emission lines were obtained for some extended, pointlike objects in the Large Magellanic Cloud (LMC) for the first time. We used the Max-Planck-Institut für extraterrestrische Physik (MPE) near-infrared array spectrometer FAST (image scale 0.8”/pix, spectral resolving power 950) at the ESO/MPI 2.2m telescope, La Silla. We present some results on the 30-Dor complex and N159A5.


Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fenghao Sun ◽  
Hui Li ◽  
Shanshan Song ◽  
Fei Chen ◽  
Jiawei Wang ◽  
...  

Abstract Using single-shot velocity map imaging technique, explosion imaging of different ion species ejected from 50 nm SiO2 nanoparticles are obtained excitedly by strong near-infrared and ultraviolet femtosecond laser fields. Characteristic momentum distributions showing forward emission of the ions at low excitation intensities and shock wave behaviors at high intensities are observed. When the excitation intensity is close to the dissociative ionization threshold of the surface molecules, the resulting ion products can be used to image the instant near-field distributions. The underlying dynamics of shock formation are simulated by using a Coulomb explosion model. Our results allow one to distinguish the ultrafast strong-field response of various molecular species in nanosystems and will open a new way for further exploration of the underlying dynamics of laser-and-nanoparticle interactions.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2850
Author(s):  
Ivana Shopovska ◽  
Ljubomir Jovanov ◽  
Wilfried Philips

The simultaneous acquisition of multi-spectral images on a single sensor can be efficiently performed by single shot capture using a mutli-spectral filter array. This paper focused on the demosaicing of color and near-infrared bands and relied on a convolutional neural network (CNN). To train the deep learning model robustly and accurately, it is necessary to provide enough training data, with sufficient variability. We focused on the design of an efficient training procedure by discovering an optimal training dataset. We propose two data selection strategies, motivated by slightly different concepts. The general term that will be used for the proposed models trained using data selection is data selection-based multi-spectral demosaicing (DSMD). The first idea is clustering-based data selection (DSMD-C), with the goal to discover a representative subset with a high variance so as to train a robust model. The second is an adaptive-based data selection (DSMD-A), a self-guided approach that selects new data based on the current model accuracy. We performed a controlled experimental evaluation of the proposed training strategies and the results show that a careful selection of data does benefit the speed and accuracy of training. We are still able to achieve high reconstruction accuracy with a lightweight model.


2021 ◽  
Author(s):  
Michael Tripepi ◽  
Noah Talisa ◽  
Emma DeAngelis ◽  
Enam A. Chowdhury

2010 ◽  
Vol 81 (10) ◽  
pp. 103105 ◽  
Author(s):  
Patrick Eraerds ◽  
Enrico Pomarico ◽  
Jun Zhang ◽  
Bruno Sanguinetti ◽  
Rob Thew ◽  
...  

1991 ◽  
Vol 147 ◽  
pp. 345-352
Author(s):  
S. Terebey ◽  
C. A. Beichman ◽  
T. N. Gautier ◽  
J. J. Hester ◽  
P. C. Myers ◽  
...  

We present results from a near-infrared array, CO interferometer, and H2O maser interferometer survey of the circumstellar environments of 26 young low-luminosity embedded stars located in nearby molecular clouds. About 75% of the sample show evidence for stellar winds/outflows in the near-infrared or CO data indicating that most of these sources are in the early wind clearing phase of their evolution. Close to 15% are multiple on the scale of 20″, suggesting that fragmentation of their surrounding dense cloud cores is important before or during gravitational collapse. Roughly 10% have H2O maser emission and the kinematics imply the masers arise in gravitationally unbound gas (i.e., a stellar wind or outflow) rather than in a circumstellar disk.


AIP Advances ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. 035018
Author(s):  
Andreas Schmitt-Sody ◽  
Jennifer Elle ◽  
Adrian Lucero ◽  
Matthew Domonkos ◽  
Anthony Ting ◽  
...  
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