scholarly journals A single‐shot autocorrelator for the ultraviolet with a variable time window

1990 ◽  
Vol 61 (3) ◽  
pp. 998-1003 ◽  
Author(s):  
S. Szatmári ◽  
F. P. Schäfer ◽  
J. Jethwa
Keyword(s):  
Time Window ◽  
Single Shot ◽  
Variable Time

Extension of time window into nanoseconds in single-shot ultrafast burst imaging by spectrally sweeping pulses

2020 ◽  
Vol 59 (17) ◽  
pp. 5210 ◽  
Author(s):  
Hirofumi Nemoto ◽  
Takakazu Suzuki ◽  
Fumihiko Kannari
Keyword(s):  
Time Window ◽  
Single Shot

scholarly journals Phase Diversity Electro-optic Sampling: A new approach to single-shot terahertz waveform recording

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Eléonore Roussel ◽  
Christophe Szwaj ◽  
Clément Evain ◽  
Bernd Steffen ◽  
Christopher Gerth ◽  
...  
Keyword(s):  
Time Window ◽  
Single Shot ◽  
Accelerator Physics ◽  
Sampling System ◽  
Conceptual Approach ◽  
Mathematical Concepts ◽  
Application Range ◽  
Phase Diversity ◽  
Electro Optic ◽  
Long Time

AbstractRecording electric field evolution in single-shot with THz bandwidth is needed in science including spectroscopy, plasmas, biology, chemistry, Free-Electron Lasers, accelerators, and material inspection. However, the potential application range depends on the possibility to achieve sub-picosecond resolution over a long time window, which is a largely open problem for single-shot techniques. To solve this problem, we present a new conceptual approach for the so-called spectral decoding technique, where a chirped laser pulse interacts with a THz signal in a Pockels crystal, and is analyzed using a grating optical spectrum analyzer. By borrowing mathematical concepts from photonic time stretch theory and radio-frequency communication, we deduce a novel dual-output electro-optic sampling system, for which the input THz signal can be numerically retrieved—with unprecedented resolution—using the so-called phase diversity technique. We show numerically and experimentally that this approach enables the recording of THz waveforms in single-shot over much longer durations and/or higher bandwidth than previous spectral decoding techniques. We present and test the proposed DEOS (Diversity Electro-Optic Sampling) design for recording 1.5 THz bandwidth THz pulses, over 20 ps duration, in single-shot. Then we demonstrate the potential of DEOS in accelerator physics by recording, in two successive shots, the shape of 200 fs RMS relativistic electron bunches at European X-FEL, over 10 ps recording windows. The designs presented here can be used directly for accelerator diagnostics, characterization of THz sources, and single-shot Time-Domain Spectroscopy.

Fixed versus variable time window warehousing strategies in real time

2020 ◽  
Vol 9 (4) ◽  
pp. 315-324
Author(s):  
Sergio Gil-Borrás ◽  
Eduardo G. Pardo ◽  
Antonio Alonso-Ayuso ◽  
Abraham Duarte
Keyword(s):  
Real Time ◽  
Time Window ◽  
Variable Time

scholarly journals Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Chun Liu ◽  
Jian Li
Keyword(s):  
Time Window ◽  
Time Windows ◽  
Target Object ◽  
Variable Time ◽  
Ship Detection ◽  
Detection Model ◽  
Maritime Surveillance ◽  
Model Training ◽  
Direction Judgment ◽  
Deep Learning Model

Automatic ship detection, recognition, and counting are crucial for intelligent maritime surveillance, timely ocean rescue, and computer-aided decision-making. YOLOv3 pretraining model is used for model training with sample images for ship detection. The ship detection model is built by adjusting and optimizing parameters. Combining the target HSV color histogram features and LBP local features’ target, object recognition and selection are realized by using the deep learning model due to its efficiency in extracting object characteristics. Since tracking targets are subject to drift and jitter, a self-correction network that composites both direction judgment based on regression and target counting method with variable time windows is designed, which better realizes automatic detection, tracking, and self-correction of moving object numbers in water. The method in this paper shows stability and robustness, applicable to the automatic analysis of waterway videos and statistics extraction.

Research and application of waveform clustering with variable time window in dolomite distribution prediction

2021 ◽  
Author(s):  
Yunfeng Huang ◽  
Zhanlong Yang ◽  
Wang YanFang ◽  
Xu YunZe ◽  
Lei Lv
Keyword(s):  
Time Window ◽  
Variable Time

MARTINI: Towards a mobile and variable time window identification for spatio-temporal data

2019 ◽  
Author(s):  
Lucas Zanco Ladeira ◽  
Allan Mariano de Souza ◽  
Geraldo Pereira Rocha Filho ◽  
Thiago Henrique Silva ◽  
Matheus Ferraroni Sanches ◽  
...  
Keyword(s):  
Time Window ◽  
Temporal Data ◽  
Variable Time ◽  
Spatio Temporal
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