scholarly journals ISEE_Wave: interactive plasma wave analysis tool

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Shoya Matsuda ◽  
Yoshizumi Miyoshi ◽  
Satoko Nakamura ◽  
Masahiro Kitahara ◽  
Masafumi Shoji ◽  
...  
Keyword(s):  
Magnetic Field ◽  
User Interface ◽  
Plasma Wave ◽  
Graphical User Interface ◽  
Analysis Tool ◽  
Wave Analysis ◽  
Waveform Data ◽  
Property Analysis ◽  
Electric And Magnetic Field ◽  
Wave Property

AbstractWe have developed ISEE_Wave (Institute for Space-Earth Environmental Research, Nagoya University - Plasma Wave Analysis Tool), an interactive plasma wave analysis tool for electric and magnetic field waveforms observed by the plasma wave experiment aboard the Arase satellite. ISEE_Wave provides an integrated wave analysis environment on a graphical user interface, where users can visualize advanced wave properties, such as the electric and magnetic field wave power spectra, wave normal polar angle, polarization ellipse, planarity of polarization, and Poynting vector angle. Users can simply select a time interval for their analysis, and ISEE_Wave automatically downloads the waveform data, ambient magnetic field data, and spacecraft attitude data from the data archive repository of the ERG Science Center, and then performs necessary coordinate transformation and spectral matrix calculation. The singular value decomposition technique is used as the core technique for the wave property analysis of ISEE_Wave. On-demand analysis is possible by specifying the parameters of the wave property analysis as well as the plot styles using the graphical user interface of ISEE_Wave. The results can be saved as image files of plots and/or a tplot save file. ISEE_Wave aids in the identification of fine structures of observed plasma waves, wave mode identification, and wave propagation analysis. These properties can be used to understand plasma wave generation, propagation, and wave-particle interaction in the inner magnetosphere. ISEE_Wave can also be applied to general waveform data observed by other spacecraft by using the plug-in procedures to load the data.

scholarly journals Electromagnetic field observations by the DEMETER satellite in connection with the 2009 L'Aquila earthquake

2018 ◽  
Vol 36 (5) ◽  
pp. 1483-1493 ◽  
Author(s):  
Igor Bertello ◽  
Mirko Piersanti ◽  
Maurizio Candidi ◽  
Piero Diego ◽  
Pietro Ubertini
Keyword(s):  
Magnetic Field ◽  
Seismic Activity ◽  
Field Data ◽  
Satellite Orbit ◽  
Relative Energy ◽  
Analysis Tool ◽  
Magnetic Field Data ◽  
Demeter Satellite ◽  
2009 L’Aquila Earthquake ◽  
Electric And Magnetic Field

Abstract. To define a background in the electromagnetic emissions above seismic regions, it is necessary to define the statistical distribution of the wave energy in the absence of seismic activity and any other anomalous input (e.g. solar forcing). This paper presents a completely new method to determine both the environmental and instrumental backgrounds applied to the entire DEMETER satellite electric and magnetic field data over L'Aquila. Our technique is based on a new data analysis tool called ALIF (adaptive local iterative filtering, Cicone et al., 2016; Cicone and Zhou, 2017; Piersanti et al., 2017b). To evaluate the instrumental background, we performed a multiscale statistical analysis in which the instantaneous relative energy (ϵrel), kurtosis, and Shannon entropy were calculated. To estimate the environmental background, a map, divided into 1∘×1∘ latitude–longitude cells, of the averaged relative energy (ϵrel‾), has been constructed, taking into account the geomagnetic activity conditions, the presence of seismic activity, and the local time sector of the satellite orbit. Any distinct signal different (over a certain threshold) from both the instrumental and environmental backgrounds will be considered as a case event to be investigated. Interestingly, on 4 April 2009, when DEMETER flew exactly over L'Aquila at UT = 20:29, an anomalous signal was observed at 333 Hz on both the electric and magnetic field data, whose characteristics seem to be related to pre-seismic activity.

Identifying Risk at the Conceptual Phase of Product Design: A Software Solution

2007 ◽  
Author(s):  
Karthik Sundaram ◽  
Abhishek Chakravarty ◽  
Katie Grantham Lough ◽  
Derek Ditch
Keyword(s):  
User Interface ◽  
Risk Analysis ◽  
Software Architecture ◽  
Product Design ◽  
Design Process ◽  
Graphical User Interface ◽  
Analysis Tool ◽  
University Of Missouri ◽  
Early Design ◽  
Design Software

This paper introduces RED (Risk in Early Design) software developed by the R.I.S.K by Design Lab at University of Missouri-Rolla. The RED software is a risk analysis tool that enables failure prevention to begin during the conceptual phase of product design. The main focus of the paper is describing the software architecture and application. Its unique graphical user interface allows designers to simply select the functions of the system being designed and the software immediately generates a risk analysis report. This analysis categorizes risk likelihood and consequence elements for a product by translating the recorded information about function and failure. An example describing the software’s use in the design process is also presented.

scholarly journals Correction to: ISEE_Wave: interactive plasma wave analysis tool

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Shoya Matsuda ◽  
Yoshizumi Miyoshi ◽  
Satoko Nakamura ◽  
Masahiro Kitahara ◽  
Masafumi Shoji ◽  
...  
Keyword(s):  
Plasma Wave ◽  
Analysis Tool ◽  
Wave Analysis

scholarly journals Solar Orbiter/Radio and Plasma Wave observations during the first Venus flyby

2021 ◽  
Author(s):  
Niklas J. T. Edberg ◽  
Lina Hadid ◽  
Milan Maksimovic ◽  
Stuart D. Bale ◽  
Thomas Chust ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Plasma Wave ◽  
Electric Fields ◽  
High Frequency ◽  
Dynamic Environment ◽  
Power Spectra ◽  
Bow Shock ◽  
Double Layers ◽  
Tail Region ◽  
Electric And Magnetic Field

<p>We present measurements from the Radio and Plasma Wave (RPW) instrument suite onboard the Solar Orbiter mission during the first Venus encounter. RPW consists of several units and is capable of measuring both the electric and magnetic field fluctuations with three electric antennas and a search-coil magnetometer: The Low Frequency Receiver (LFR) cover the range from DC up to 10kHz when measuring the electric and magnetic waveform and spectra; the Thermal Noise and High Frequency Receiver (TNR-HFR) determines the electric power spectra and magnetic power spectra from 4kHz-20MHz, and 4kHz to 500kHz, respectively, to determine properties of the electron population; the Time Domain Sampler (TDS) measures and digitizes onboard the electric and magnetic field waveforms from 100 Hz to 250 kHz. The BIAS subunit measures DC and LF electric fields as well as the spacecraft potential, which gives a high cadence measure of the local plasma density when calibrated to the low-cadence tracking of the plasma peak from the TNR. Solar Orbiter approached Venus from the induced magnetotail and had its closest approach at an altitude of 7500 km over the north pole of Venus on 27 Dec 2020. The RPW instruments observed a tail region that extended several 10’s of Venus radii downstream of the planet. The induced magnetosphere was characterized to be a highly dynamic environment as Solar Orbiter traversed the downstream tail and magnetosheath before it crossed the Bow Shock outbound at ~12:40 UT. Polarized whistler waves, high frequency electrostatic waves, narrow-banded emissions, possible electron double layers were observed. The fine structure of the bow shock could also be investigated in detail. Solar Orbiter could hence enhance the knowledge of the structure of the solar wind-Venus interaction.</p>

scholarly journals Electromagnetic field observations by the DEMETER satellite in connection with the 2009 L’Aquila earthquake

2018 ◽  
Author(s):  
Igor Bertello ◽  
Mirko Piersanti ◽  
Maurizio Candidi ◽  
Piero Diego ◽  
Pietro Ubertini
Keyword(s):  
Magnetic Field ◽  
Seismic Activity ◽  
Field Data ◽  
Satellite Orbit ◽  
Relative Energy ◽  
Analysis Tool ◽  
Magnetic Field Data ◽  
Demeter Satellite ◽  
2009 L’Aquila Earthquake ◽  
Electric And Magnetic Field

Abstract. To define a background in the electromagnetic emissions above seismic regions, it is necessary to define the statistical distribution of the wave energy in absence of seismic activity and any other anomalous input (e.g. solar forcing). This paper presents a completely new method to determine both the environmental and instrumental background applied to the entire DEMETER satellite electric and magnetic field data over L’Aquila. Our technique is based on a new data analysis tool called ALIF (Adaptive Local Iterative Filtering, [Cicone et al., 2016 and 2017; Piersanti et al., 2017]). To evaluate the instrumental noise, we performed a multiscale statistical analysis, in which the instantaneous relative energy (ϵrel), kurtosis and Shannon entropy was calculated. To estimate the environmental noise, a background map, divided into 1° × 1° latitude/longitude cells, of the averaged relative energy (ϵrel) has been constructed, taking into account the geomagnetic activity conditions, the presence of seismic activity and the local time sector of the satellite orbit. Any distinct signal different (over a certain threshold) from both the instrumental and environmental backgrounds will be considered as a case event to be investigated. Interestingly, on April 4, 2009, when DEMETER flew exactly over L’Aquila at UT = 20:29, an anomalous signal was observed at 333 Hz on both the electric and magnetic field data, whose characteristics seem to be related to pre-seismic activity.

Magnetic Field Imaging on Stacked Flash Memories by Laser Probing and SQUID Scanning

2017 ◽  
Author(s):  
K. Sanchez ◽  
G. Bascoul ◽  
F. Infante ◽  
N. Courjault ◽  
T. Nakamura
Keyword(s):  
Magnetic Field ◽  
Failure Analysis ◽  
Two Dimensions ◽  
Analysis Tool ◽  
Active Device ◽  
Current Path ◽  
3D Packaging ◽  
Magnetic Field Imaging ◽  
The Magnetic Field ◽  
Field Imaging

Abstract Magnetic field imaging is a well-known technique which gives the possibility to study the internal activity of electronic components in a contactless and non-invasive way. Additional data processing can convert the magnetic field image into a current path and give the possibility to identify current flow anomalies in electronic devices. This technique can be applied at board level or device level and is particularly suitable for the failure analysis of complex packages (stacked device & 3D packaging). This approach can be combined with thermal imaging, X-ray observation and other failure analysis tool. This paper will present two different techniques which give the possibility to measure the magnetic field in two dimensions over an active device. Same device and same level of current is used for the two techniques to give the possibility to compare the performance.

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