scholarly journals Large experiment data analysis collaboration. Final progress report for period November 15, 1997 - November 14, 1998

1998 ◽  
Author(s):  
J D Callen
Keyword(s):  
Data Analysis ◽  
Progress Report ◽  
Experiment Data

Free JAR experiment: data analysis and comparison with JAR task

2021 ◽  
pp. 104453
Author(s):  
Alexiane Luc ◽  
Sébastien Le ◽  
Mathilde Philippe ◽  
El Mostafa Qannari ◽  
Evelyne Vigneau
Keyword(s):  
Data Analysis ◽  
Experiment Data

scholarly journals Pengaruh Budaya Dan Religiusitas Terhadap Keputusan Akuntan

2019 ◽  
Vol 1 (2) ◽  
pp. 627-645
Author(s):  
Nisa Umahmudah A ◽  
Sany Dwita ◽  
Nayang Helma Yunita
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Accounting Students ◽  
Experiment Data ◽  
Quasi Experiment

This study aims to test empirically about: 1) The influence of culture on the accountant's decision, and 2) the influence of religiousity effect on the accountant's decision. This type of research belongs to a quasi experiment. Data in this study were collected by using questionnaires on 200 accounting students from 2 universities in Padang City and 1 university in Madura. Data analysis was done by using two-way ANOVA. The results of this study conclude that culture affects an accountant in decision making, while religiousity does not affect the accountant's decision. This study focuses on Javanese culture and Minangkabau culture with a construal of self approach in assessing accountant decisions and using accounting students as a subject to examine cultural and religiousity influences on professional accountant decisions.

scholarly journals Spectroscopic Observations of the Be Stars η Cen, γ Cas and φ Per

1976 ◽  
Vol 70 ◽  
pp. 199-207 ◽  
Author(s):  
W. M. Burton ◽  
R. G. Evans
Keyword(s):  
Data Analysis ◽  
High Resolution ◽  
Main Part ◽  
Visible Region ◽  
Progress Report ◽  
Short Description ◽  
Be Stars ◽  
Royal Greenwich Observatory ◽  
Echelle Spectrograph ◽  
Shell Star

The main part of this paper is concerned with observations obtained using the Princeton ultraviolet telescope-spectrometer on the Copernicus satellite through the Princeton guest investigator programme. These observations provided high resolution ultraviolet spectra of the bright southern shell star η Cen, which are now being analysed in detail. A short description of the new η Cen spectra and a progress report on the data analysis are presented below. In the second part of the paper we describe visible-region spectra of the northern Be stars γ Cas and φ Per obtained with a cross-dispersed echelle spectrograph on the 36-inch Yapp telescope at the Royal Greenwich Observatory.

Noise background levels and noise event tracking/characterization under the Arctic Ice Pack: Experiment, data analysis, and modeling

2016 ◽  
Vol 140 (4) ◽  
pp. 3408-3408
Author(s):  
Kevin Williams ◽  
Michael L. Boyd ◽  
Alexander G. Soloway ◽  
Eric I. Thorsos ◽  
Steven G. Kargl ◽  
...  
Keyword(s):  
Data Analysis ◽  
The Arctic ◽  
Experiment Data ◽  
Noise Background ◽  
Background Levels ◽  
Event Tracking ◽  
Arctic Ice ◽  
Ice Pack

scholarly journals A plugin-based approach to data analysis for the AMS experiment on the ISS

2019 ◽  
Vol 214 ◽  
pp. 05038
Author(s):  
Valerio Formato
Keyword(s):  
Data Analysis ◽  
Execution Time ◽  
Experiment Data ◽  
Meaningful Information ◽  
Multiple Users ◽  
Data Formats ◽  
Typical Data ◽  
Analysis Workflow ◽  
Data Result

In many HEP experiments a typical data analysis workflow requires each user to read the experiment data in order to extract meaningful information and produce relevant plots for the considered analysis. Multiple users accessing the same data result in a redundant access to the data itself, which could be factorized effectively improving the CPU efficiency of the analysis jobs and relieving stress from the storage infrastructure. To address this issue we present a modular and lightweight solution where the users code is embedded in different "analysis plugins" which are then collected and loaded at runtime for execution, where the data is read only once and shared between all the different plugins. This solution was developed for one of the data analysis groups within the AMS collaboration but is easily extendable to all kinds of analyses and workloads that need I/O access on AMS data or custom data formats and can even adapted with little effort to another HEP experiment data. This framework could then be easily embedded into a "analysis train" and we will discuss a possible implementation and different ways to optimise CPU efficiency and execution time.

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