Programmable instrumentation for high repetition rate experiments providing control in real time and acquisition of a train of pulses

1988 ◽  
Vol 59 (7) ◽  
pp. 1226-1231 ◽  
Author(s):  
R. Kraus ◽  
M. Treanor ◽  
W. J. Sarjeant ◽  
R. Dollinger
Keyword(s):  
Real Time ◽  
Repetition Rate ◽  
High Repetition Rate ◽  
High Repetition

scholarly journals High Repetition Rate Mid-Infrared Differential Absorption Lidar for Atmospheric Pollution Detection

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2211
Author(s):  
Yu Gong ◽  
Lingbing Bu ◽  
Bin Yang ◽  
Farhan Mustafa
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Atmospheric Pollution ◽  
Repetition Rate ◽  
High Repetition Rate ◽  
Detection Sensitivity ◽  
Differential Absorption ◽  
Differential Absorption Lidar ◽  
Mid Infrared ◽  
High Repetition

Developments in mid-infrared Differential Absorption Lidar (DIAL), for gas remote sensing, have received a significant amount of research in recent years. In this paper, a high repetition rate tunable mid-infrared DIAL, mounted on a mobile platform, has been built for long range remote detection of gas plumes. The lidar uses a solid-state tunable optical parametric oscillator laser, which can emit laser pulse with repetition rate of 500 Hz and between the band from 2.5 μm to 4 μm. A monitoring channel has been used to record the laser energy in real-time and correct signals. Convolution correction technology has also been incorporated to choose the laser wavelengths. Taking NO2 and SO2 as examples, lidar system calibration experiment and open field observation experiment have been carried out. The observation results show that the minimum detection sensitivity of NO2 and SO2 can reach 0.07 mg/m3, and 0.31 mg/m3, respectively. The effective temporal resolution can reach second level for the high repetition rate of the laser, which demonstrates that the system can be used for the real-time remote sensing of atmospheric pollution gas.

scholarly journals Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Zhang ◽  
Xi Yang ◽  
Xiaobiao Huang ◽  
Junjie Li ◽  
Timur Shaftan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Electron Beam ◽  
Real Time ◽  
Repetition Rate ◽  
High Repetition Rate ◽  
Detailed Knowledge ◽  
Full Potential ◽  
Single Shot ◽  
Noninvasive Diagnostics ◽  
High Repetition

AbstractTo harness the full potential of the ultrafast electron diffraction (UED) and microscopy (UEM), we must know accurately the electron beam properties, such as emittance, energy spread, spatial-pointing jitter, and shot-to-shot energy fluctuation. Owing to the inherent fluctuations in UED/UEM instruments, obtaining such detailed knowledge requires real-time characterization of the beam properties for each electron bunch. While diagnostics of these properties exist, they are often invasive, and many of them cannot operate at a high repetition rate. Here, we present a technique to overcome such limitations. Employing a machine learning (ML) strategy, we can accurately predict electron beam properties for every shot using only parameters that are easily recorded at high repetition rate by the detector while the experiments are ongoing, by training a model on a small set of fully diagnosed bunches. Applying ML as real-time noninvasive diagnostics could enable some new capabilities, e.g., online optimization of the long-term stability and fine single-shot quality of the electron beam, filtering the events and making online corrections of the data for time-resolved UED, otherwise impossible. This opens the possibility of fully realizing the potential of high repetition rate UED and UEM for life science and condensed matter physics applications.

Deep Learning for Real-Time Modeling of High Repetition Rate, Short Pulse CPA Laser Amplifier

2019 ◽  
Author(s):  
Sandrine I Herriot ◽  
Thomas C Galvin ◽  
Brenda M Ng ◽  
Emily F Sistrunk ◽  
Shawn Betts ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Repetition Rate ◽  
Short Pulse ◽  
High Repetition Rate ◽  
Laser Amplifier ◽  
High Repetition ◽  
Time Modeling

Real-time energy measurement of high repetition rate ultrashort laser pulses using pulse integration and FPGA processing

2016 ◽  
Vol 87 (11) ◽  
pp. 114708
Author(s):  
Qi-jie Tang ◽  
Dong-xu Yang ◽  
Jian Wang ◽  
Yi Feng ◽  
Hong-fei Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Repetition Rate ◽  
Laser Pulses ◽  
High Repetition Rate ◽  
Ultrashort Laser Pulses ◽  
Energy Measurement ◽  
High Repetition ◽  
Ultrashort Laser
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