IPAC2014 - List of Keywords (data-analysis)

Paper	Title	Other Keywords	Page
MOPRO070	Study on Ground Vibration Characteristics of Iranian Light Source Facility	site, ground-motion, synchrotron, operation	243
	A. Iraji, B. Kamkari, J. Rahighi, M. Rahimi, N. Ranjbar, F. Saeidi ILSF, Tehran, Iran
	In this study the results of ground vibration measurement for the site of Iranian Light Source Facility (ILSF) has been investigated. Light source buildings are very sensitive to the ground weak motions. Sources for the ground vibrations could be Cultural noise from human activities like traffic and industrial works. In order to satisfy requirements for level of the ground vibrations, a perfect ground vibration survey has been conducted and compared with other same projects. Two broad-band seismometers were utilized for surveying the ground vibration at ILSF site. The raw data were pre-processed as well as analyzed in term of seismology and engineering aspects. Spectrum amplitudes along with powers of the vibration amplitudes were calculated at the time domain. The power spectral density of vibration displacements were extracted from the measurements and were compared with results of other synchrotron projects. The results show that the dedicated site for ILSF is in the appropriate condition in the point view of ground vibration issues.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-MOPRO070
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WEPRI053	Phase Method of Measuring Cavity Quality Factor	cavity, simulation, coupling, resonance	2604
	O.S. Melnychuk, R.V. Pilipenko, Y.M. Pischalnikov, W. Schappert, D.A. Sergatskov Fermilab, Batavia, Illinois, USA
	Novel method for measuring intrinsic quality factor of superconducting RF (SRF) cavities using both amplitude and phase information of forward, reflected, and transmitted cavity signal is discussed. Advantages of the method in comparison with traditional types of cavity quality factor measurements are highlighted. Computer simulations and evaluation of uncertainties for the measurements are described. Analysis of data collected at vertical test facility for SRF cavities at Fermilab is presented.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-WEPRI053
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THPME188	Using Principal Component Analysis to Find Correlations and Patterns at Diamond Light Source	electron, storage-ring, vacuum	3719
	C. Bloomer, G. Rehm DLS, Oxfordshire, United Kingdom
	Principal component analysis is a powerful data analysis tool, capable of reducing large complex data sets containing many variables. Examination of the principal components set allows the user to spot underlying trends and patterns that might otherwise be masked in a very large volume of data, or hidden in noise. Diamond Light Source archives many gigabytes of machine data every day, far more than any one human could effectively search through for correlations. Presented in this paper are some of the results from running principal component analysis on years of archived data in order to find underlying correlations that may otherwise have gone unnoticed. The advantages and limitations of the technique are discussed.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-THPME188
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOPRO070

Study on Ground Vibration Characteristics of Iranian Light Source Facility

site, ground-motion, synchrotron, operation

243

A. Iraji, B. Kamkari, J. Rahighi, M. Rahimi, N. Ranjbar, F. Saeidi
ILSF, Tehran, Iran

In this study the results of ground vibration measurement for the site of Iranian Light Source Facility (ILSF) has been investigated. Light source buildings are very sensitive to the ground weak motions. Sources for the ground vibrations could be Cultural noise from human activities like traffic and industrial works. In order to satisfy requirements for level of the ground vibrations, a perfect ground vibration survey has been conducted and compared with other same projects. Two broad-band seismometers were utilized for surveying the ground vibration at ILSF site. The raw data were pre-processed as well as analyzed in term of seismology and engineering aspects. Spectrum amplitudes along with powers of the vibration amplitudes were calculated at the time domain. The power spectral density of vibration displacements were extracted from the measurements and were compared with results of other synchrotron projects. The results show that the dedicated site for ILSF is in the appropriate condition in the point view of ground vibration issues.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-MOPRO070

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPRI053

Phase Method of Measuring Cavity Quality Factor

cavity, simulation, coupling, resonance

2604

O.S. Melnychuk, R.V. Pilipenko, Y.M. Pischalnikov, W. Schappert, D.A. Sergatskov
Fermilab, Batavia, Illinois, USA

Novel method for measuring intrinsic quality factor of superconducting RF (SRF) cavities using both amplitude and phase information of forward, reflected, and transmitted cavity signal is discussed. Advantages of the method in comparison with traditional types of cavity quality factor measurements are highlighted. Computer simulations and evaluation of uncertainties for the measurements are described. Analysis of data collected at vertical test facility for SRF cavities at Fermilab is presented.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-WEPRI053

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPME188

Using Principal Component Analysis to Find Correlations and Patterns at Diamond Light Source

electron, storage-ring, vacuum

3719

C. Bloomer, G. Rehm
DLS, Oxfordshire, United Kingdom

Principal component analysis is a powerful data analysis tool, capable of reducing large complex data sets containing many variables. Examination of the principal components set allows the user to spot underlying trends and patterns that might otherwise be masked in a very large volume of data, or hidden in noise. Diamond Light Source archives many gigabytes of machine data every day, far more than any one human could effectively search through for correlations. Presented in this paper are some of the results from running principal component analysis on years of archived data in order to find underlying correlations that may otherwise have gone unnoticed. The advantages and limitations of the technique are discussed.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2014-THPME188

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)