Investigation of Stark line broadening within spectral series of potassium and copper isoelectronic sequences

2019 ◽  
Vol 489 (3) ◽  
pp. 2997-3002 ◽  
Author(s):  
Ivan P Dojčinović ◽  
Nora Trklja ◽  
Irinel Tapalaga ◽  
Jagoš Purić
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Spectral Series ◽  
Line Broadening ◽  
Electronic Density ◽  
Stark Width

Abstract We have investigated Stark line broadening within the spectral series of potassium-like and copper-like emitters, both separately and together. The analysis was performed for fixed values of electronic density Ne = 1022 m−3 and temperature $T = 100\, 000$ K. Algorithms made for fast data processing also serve for temperature and density normalization of data. Relations obtained using the regularity-based analysis enable predictions of Stark widths for transitions that have not yet been calculated or measured. Results of present investigation can be used for quality control of available Stark width data.

scholarly journals Stark Widths Regularities Within: ns-np, np-ns, np-nd, nd-np and nd-nf Spectral Series of Potassium Isoelectronic Sequence

Atoms ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 99
Author(s):  
Nora Trklja ◽  
Ivan P. Dojčinović ◽  
Irinel Tapalaga ◽  
Jagoš Purić
Keyword(s):  
Experimental Data ◽  
Data Processing ◽  
Ionization Potential ◽  
Electron Density ◽  
Spectral Series ◽  
Isoelectronic Sequence ◽  
Electron Density And Temperature ◽  
Upper Level ◽  
Stark Width

Results presented in this paper show a regular behaviour of Stark widths within the studied spectral series of potassium isoelectronic sequence. These regularities have been found and verified on the basis of the existing theoretical and experimental data being normalized for the same plasma conditions (chosen electron density and temperature). Using the available set of data the corresponding formulas expressing the Stark widths of the lines originated from the spectral series studied here as a function of the upper-level ionization potential and the rest core charge of the emitter seeing by the electron undergoing transition, are obtained here. Well established and verified dependence is used to calculate Stark width data needed but not available so far. For the purposes of the operation with a large number of data, algorithms for the analysis of Stark width dependence on temperature and electron density and for the investigation of the assumed correlation between Stark width and ionization potential of the upper level of analyzed transition, have been made. Developed algorithms enable fast data processing.

MassyTools: A High-Throughput Targeted Data Processing Tool for Relative Quantitation and Quality Control Developed for Glycomic and Glycoproteomic MALDI-MS

2015 ◽  
Vol 14 (12) ◽  
pp. 5088-5098 ◽  
Author(s):  
Bas C. Jansen ◽  
Karli R. Reiding ◽  
Albert Bondt ◽  
Agnes L. Hipgrave Ederveen ◽  
Magnus Palmblad ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
High Throughput ◽  
Maldi Ms ◽  
Relative Quantitation ◽  
Data Processing Tool

Automatic data processing and quality control: experiences from ISO-LWS

1998 ◽  
Author(s):  
Martin J. Burgdorf ◽  
A. S. Harwood ◽  
N. R. Trams ◽  
Tanya L. Lim ◽  
Sunil D. Sidher ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Automatic Data Processing ◽  
Automatic Data

scholarly journals Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 967 ◽  
Author(s):  
Ting-Li Han ◽  
Yang Yang ◽  
Hua Zhang ◽  
Kai P. Law
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Epidemiological Study ◽  
Internal Standard ◽  
Analytical Techniques ◽  
Experimental Conditions ◽  
Data Set ◽  
Raw Data ◽  
Model Based ◽  
Critical Issues

Background: A challenge of metabolomics is data processing the enormous amount of information generated by sophisticated analytical techniques. The raw data of an untargeted metabolomic experiment are composited with unwanted biological and technical variations that confound the biological variations of interest. The art of data normalisation to offset these variations and/or eliminate experimental or biological biases has made significant progress recently. However, published comparative studies are often biased or have omissions. Methods: We investigated the issues with our own data set, using five different representative methods of internal standard-based, model-based, and pooled quality control-based approaches, and examined the performance of these methods against each other in an epidemiological study of gestational diabetes using plasma. Results: Our results demonstrated that the quality control-based approaches gave the highest data precision in all methods tested, and would be the method of choice for controlled experimental conditions. But for our epidemiological study, the model-based approaches were able to classify the clinical groups more effectively than the quality control-based approaches because of their ability to minimise not only technical variations, but also biological biases from the raw data. Conclusions: We suggest that metabolomic researchers should optimise and justify the method they have chosen for their experimental condition in order to obtain an optimal biological outcome.

A Paired Comparison Approach to Evaluating Interviewer Performance

1969 ◽  
Vol 6 (1) ◽  
pp. 66-70
Author(s):  
Purnell H. Benson
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Computer Program ◽  
Paired Comparison ◽  
Statistical Quality Control ◽  
Comparison Analysis ◽  
Statistical Quality ◽  
Comparison Approach

Paired comparison analysis, as developed in psychometric work, is applied to the problem of statistical quality control of interviewing. Data from telephone interviewing are analyzed. Details are given for preparing a computer program for data processing.

Incorporation of a SMAC analyzer into the data-processing procedures of a computer-assisted laboratory.

1979 ◽  
Vol 25 (3) ◽  
pp. 466-469 ◽  
Author(s):  
P E Undrill ◽  
R E Stroud ◽  
N Paterson
Keyword(s):  
Quality Control ◽  
Performance Analysis ◽  
Data Processing ◽  
Computer Hardware ◽  
Small Computer ◽  
Computer Assisted ◽  
Control Information ◽  
Service Operation ◽  
Processing Techniques ◽  
Initiation Period

Abstract This paper describes the incorporation of a SMAC (Technicon) analyzer into data-processing techniques that have been developed on existing computer hardware during several years. The SMAC system is interfaced directly to a small computer, and suitable peripherals produce a manageable form of result tabulation for subsequent reporting, as well as provide quality-control information to the SMAC operators in real time. The design is such as to facilitate the performance analysis of the SMAC system during its initiation period and during normal service operation.

scholarly journals GladiaTOX: GLobal Assessment of Dose-IndicAtor in TOXicology

2019 ◽  
Vol 35 (20) ◽  
pp. 4190-4192 ◽  
Author(s):  
Vincenzo Belcastro ◽  
Stephane Cano ◽  
Diego Marescotti ◽  
Stefano Acali ◽  
Carine Poussin ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Web Service ◽  
Biomedical Research ◽  
Global Assessment ◽  
R Package ◽  
Supplementary Information ◽  
High Content Screening ◽  
Supplementary Data ◽  
Severity Scores

Abstract Summary GladiaTOX R package is an open-source, flexible solution to high-content screening data processing and reporting in biomedical research. GladiaTOX takes advantage of the ‘tcpl’ core functionalities and provides a number of extensions: it provides a web-service solution to fetch raw data; it computes severity scores and exports ToxPi formatted files; furthermore it contains a suite of functionalities to generate PDF reports for quality control and data processing. Availability and implementation GladiaTOX R package (bioconductor). Also available via: git clone https://github.com/philipmorrisintl/GladiaTOX.git. Supplementary information Supplementary data are available at Bioinformatics online.

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