scholarly journals New Vary-Chap profile of the topside ionosphere electron density distribution for use with the IRI model and the GIRO real time data

Radio Science ◽  
2012 ◽  
Vol 47 (4) ◽  
Author(s):  
Patrick Nsumei ◽  
Bodo W. Reinisch ◽  
Xueqin Huang ◽  
Dieter Bilitza
Keyword(s):  
Density Distribution ◽  
Real Time ◽  
Electron Density ◽  
Electron Density Distribution ◽  
Topside Ionosphere ◽  
Time Data ◽  
Iri Model ◽  
Real Time Data

The electron density distribution in the topside ionosphere I. Magnetic-field-alined strata

1964 ◽  
Vol 281 (1387) ◽  
pp. 450-458 ◽  
Keyword(s):  
Magnetic Field ◽  
Density Distribution ◽  
Electron Density ◽  
Electron Probe ◽  
Electron Density Distribution ◽  
Topside Ionosphere ◽  
Electric Permittivity ◽  
Measuring Head ◽  
Flat Disk ◽  
Method Of Measurement

1. The method of measurement of electron density The measurement of the electron density distribution in the topside ionosphere is made by a radio-frequency electron probe which was developed for this satellite. This probe measures the local electric permittivity of the medium in the vicinity of the satellite using a probing frequency of 10 Mc/s and from a knowledge of the permittivity the electron density is readily calculated. The electrodes consist of a pair of flat disk-shaped grids, 4 in. in diameter and spaced 3 1|2 in. apart. These grids are supported on the ends of two short tubes which, in turn, are mounted on a small junction box. This complete unit, which forms the measuring head, is fixed on the end of a retractable boom which extends about 3 ft. from the hull of the satellite. The permittivity is measured in terms of the current that flows between the two electrodes in response to a constant applied signal of 3 V r.m.s. This signal is provided by a 10 Mc/s crystal controlled oscillator, the amplitude being electronically stabilized at the above value.

Global electron density distribution in the plasmasphere deduced from Akebono wave data and the IRI model

1997 ◽  
Vol 59 (13) ◽  
pp. 1569-1586 ◽  
Author(s):  
I. Kimura ◽  
K. Tsunehara ◽  
A. Hikuma ◽  
Y.Z. Su ◽  
Y. Kasahara ◽  
...  
Keyword(s):  
Density Distribution ◽  
Electron Density ◽  
Electron Density Distribution ◽  
Iri Model ◽  
Wave Data

A study on α-RuCl3 crystal structure by scanning tunneling microscopy

1989 ◽  
Vol 47 ◽  
pp. 30-31
Author(s):  
H.-J. Cantow ◽  
H. Hillebrecht ◽  
S. Magonov ◽  
H. W. Rotter ◽  
G. Thiele
Keyword(s):  
Crystal Structure ◽  
Density Distribution ◽  
Scanning Tunneling Microscopy ◽  
Electron Density ◽  
Structure Determination ◽  
Electron Density Distribution ◽  
Scanning Tunneling ◽  
Monoclinic Space Group ◽  
Tunneling Microscopy ◽  
X Ray

From X-ray analysis, the conclusions are drawn from averaged molecular informations. Thus, limitations are caused when analyzing systems whose symmetry is reduced due to interatomic interactions. In contrast, scanning tunneling microscopy (STM) directly images atomic scale surface electron density distribution, with a resolution up to fractions of Angstrom units. The crucial point is the correlation between the electron density distribution and the localization of individual atoms, which is reasonable in many cases. Thus, the use of STM images for crystal structure determination may be permitted. We tried to apply RuCl3 - a layered material with semiconductive properties - for such STM studies. From the X-ray analysis it has been assumed that α-form of this compound crystallizes in the monoclinic space group C2/m (AICI3 type). The chlorine atoms form an almost undistorted cubic closed package while Ru occupies 2/3 of the octahedral holes in every second layer building up a plane hexagon net (graphite net). Idealizing the arrangement of the chlorines a hexagonal symmetry would be expected. X-ray structure determination of isotypic compounds e.g. IrBr3 leads only to averaged positions of the metal atoms as there exist extended stacking faults of the metal layers.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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