Published January 2016 | Version v1
Miscellaneous

Applying sophisticated analytics to accelerator data at BNL's Collider-Accelerator complex: Bridging to repositories, tools of choice, and applications

  • 1. Collider-Accelerator Department, Brookhaven National Laboratory (BNL), Upton, New York (United States)

Description

Analysis of accelerator data has traditionally been done using custom tools, either developed locally or at other laboratories. Much of the data analysis is done in real time when the data is being logged. However, sometimes users wish to apply improved algorithms, look for data correlations, or perform more sophisticated analysis. In recent years we have investigated the use of tools to bridge standard analysis systems, such as MATLAB®, R, or SciPy, to the controls data repositories. In this report we will discuss the tools used to extract data from the repositories, tools used to bridge the repositories to standard analysis systems, and directions we are considering for the future. (author)

Part of:
Proceedings of the 15th International Conference on Accelerator and Large Experimental Physics Control Systems ICALEPCS 2015

Additional details

Publishing Information

ISBN
978-3-95450-148-9
Imprint Title
Proceedings of the 15th International Conference on Accelerator and Large Experimental Physics Control Systems ICALEPCS 2015
Imprint Pagination
1225 p.
Journal Page Range
p. 1021-1024
Report number
INIS-AU--0089

Conference

Title
15. International Conference on Accelerator and Large Experimental Physics Control Systems
Acronym
ICALEPCS 2015
Dates
17-23 Oct 2015
Place
Melbourne, VIC (Australia)

INIS

Country of Publication
Australia
Country of Input or Organization
Australia
INIS RN
51100779
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCELERATORS; COMPUTER CODES; DATA ANALYSIS; DATA VISUALIZATION; DATASETS; INFORMATION RETRIEVAL; MEMORY DEVICES; PROGRAMMING LANGUAGES; REAL TIME SYSTEMS
Descriptors DEC
DATA ANALYSIS; DATA PROCESSING; DOCUMENT TYPES; PROCESSING

Optional Information

Notes
32 refs., 5 figs.