Dependence of the ion energy in vacuum spark plasma flow on current pulse shape features

Author(s):  
Yu. A. Zemskov
2014 ◽  
Author(s):  
Solmaz Saboohi ◽  
S. L. Yap ◽  
L. S. Chan ◽  
C. S. Wong

1984 ◽  
Vol 62 (12) ◽  
pp. 1924-1927 ◽  
Author(s):  
E. V. Aglitsky ◽  
P. S. Antsiferov ◽  
S. L. Mandelstam ◽  
A. M. Panin

The spectra of Ne-like ions of Ba, La, Ce, and Pr in the 1.9 – 2.7 Å region, excited in the low-inductance vacuum spark plasma, have been obtained for the first time. A Johann's crystal spectrograph in combination with an image intensifier was used for recording the spectra. The 2s22p6 – 2s2p63p and 2s22p6 – 2s22p53d transitions have been identified in these ions along with the satellite lines of Na-like and Mg-like Ba–Pr ions.


2021 ◽  
Vol 2132 (1) ◽  
pp. 012023
Author(s):  
Zhang Qin ◽  
ZhangJian Qin ◽  
JingLong Zhang ◽  
XinTe Qi

Abstract The charge pulse generated by semiconductor detector caused by nuclear event carries nuclide and nuclear reaction information, but the amplified charge pulse amplitude is obviously weak and the noise is so large. Aiming at the difficulty of obtaining the charge signal pulse generated by the detector, a method for recovering the nuclear pulse current signal of semiconductor detector is proposed. Pulse recovery is divided into two parts: pulse shape recovery and pulse amplitude recovery. Point at the pulse shape, a shape recognition network of nuclear pulse current signal based on deep learning is proposed. For pulse amplitude,it can be obtained by Mexican straw hat wavelet forming algorithm. This algorithm can eliminate the baseline fluctuation caused by pulse stacking. The proposed shape recognition network of nuclear pulse current signal is composed of classifier and regressor. The classifier is used to judge whether the data contains a complete rising edge. The data containing the complete rising edge is sent to the regressor for prediction, so as to obtain the parameters related to the current pulse shape. The precision, recall and F-Measure of the classifier in classifying the test set are 98.88%, 98.05% and 98.33%, respectively. The average absolute error of the regressor in predicting the parameters related to the current pulse shape is about 9 ns. The experimental results show that the proposed method can recover the shape and amplitude of the current signal.


1988 ◽  
Vol 102 ◽  
pp. 87-90
Author(s):  
M. Finkenthal ◽  
D. Stutman ◽  
J.L. Schwob ◽  
J.H. Underwood

AbstractThe spatial extent of the regions from which lines of the Intermediate, NeI-like and high Li I-llke Ionization states of Ti, V, Fe, Co, and Ni, are emitted in a low inductance high-current vacuum spark plasma, has been determined using multilayer mirrors and a RbAP crystal. The spectra have been recorded in the 10–30 Å range. The main conclusion of the present work is that the intermediate ionization states are emitted from an extended plasma region, of the order of 200 microns, while the highly ionized states are formed, as it has been previously stated, In the minute plasma pinch.


Sign in / Sign up

Export Citation Format

Share Document