ICALEPCS2017 - List of Keywords (HOM)

Paper	Title	Other Keywords	Page
TUPHA003	BDN NSLS-II Project Status: How to Recycle a Synchrotron?	ion, controls, detector, synchrotron	365
	O. Ivashkevych, M. Abeykoon, J. Adams, G.L. Carr, L.C. De Silva, S. Ehrlich, M. Fukuto, R. Greene, C.A. Guerrero, J. Ma, G. Nintzel, P. Northrup, D. Poshka, R. Tappero, Z. Yin BNL, Upton, Long Island, New York, USA
	With many synchrotron facilities retiring or going through upgrades, what is the future of the some of the state-of-the-art equipment and the beamlines built for a specific science at these older facilities? Can the past investments continue supporting the current scientific mission? Beamlines Developed by NSLS2 (BDN) started in 2013 as the NxtGen project prior to NSLS last light on September, 30 2014. Hundreds of pieces of equipment still scientifically useful and valuable have been collected, packed and stored to become part of the new beamlines at the NSLS2 complex. CMS and TES beamlines were built in 2016 in 6 month from bare hutches to the First Light and are already doing user science. QAS, XFM, FIS/MET are taking first light in late 2017/early 2018 and users in 2018. Repurposed components have been fitted with standard NSLS2 EPICS based control systems, Delta Tau motion controllers, digital imaging. Intensity monitors and diagnostics have been equipped with new electronics. Data collection is performed via home grown customizable, beamline specific Bluesky Data Acquisition System. Status of the project and an overview of controls efforts will be presented.
	Poster TUPHA003 [0.898 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA003
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUSH303	Managing your Timing System as a Standard Ethernet Network	ion, network, monitoring, timing	1007
	A. Wujek, G. Daniluk, M.M. Lipinski CERN, Geneva, Switzerland A. Rubini GNUDD, Pavia, Italy
	White Rabbit (WR) is an extension of Ethernet which allows deterministic data delivery and remote synchronization of nodes with accuracies below 1 nanosecond and jitter better than 10 ps. Because WR is Ethernet, a WR-based timing system can benefit from all standard network protocols and tools available in the Ethernet ecosystem. This paper describes the configuration, monitoring and diagnostics of a WR network using standard tools. Using the Simple Network Management Protocol (SNMP), clients can easily monitor with standard monitoring tools like Nagios, Icinga and Grafana e.g. the quality of the data link and synchronization. The former involves e.g. the number of dropped frames; The latter concerns parameters such as the latency of frame distribution and fibre delay compensation. The Link Layer Discovery Protocol (LLDP) allows discovery of the actual topology of a network. Wireshark and PTP Track Hound can intercept and help with analysis of the content of WR frames of live traffic. In order to benefit from time-proven, scalable, standard monitoring solutions, some development was needed in the WR switch and nodes.
	Poster TUSH303 [1.608 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUSH303
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THCPL01	Speaking of Diversity	ion, controls, MMI, hardware	1168
	K.S. White ORNL, Oak Ridge, Tennessee, USA
	Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract number DE-AC05-00OR22725. Historically, attendance at the International Conference on Accelerator and Large Experimental Physics Control Systems has not been particularly diverse in terms of gender or race. In fact, the lack of diversity amongst the attendees was noted during the closing session of the 2015 conference by an invited speaker from outside the accelerator community. Informal discussion and observations support the assertion that our conference attendance reflects the diversity of the broader accelerator controls workforce. Facing very low participation of women in our field and even lower minority representation, it is important to examine this issue as studies point to the importance of diverse work groups to spark innovation and creativity as catalysts to solving difficult problems. This paper will discuss diversity and inclusion in the disciplines that comprise the accelerator controls workforce, including background, barriers and strategies for improvement.
	Talk as video stream: https://youtu.be/94u5LpJ7DzY
	Slides THCPL01 [5.586 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THCPL01
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA034	The Study of Big Data Tools Usages in Synchrotrons	ion, synchrotron, experiment, controls	1428
	S. Alizada, A. Khaleghi ILSF, Tehran, Iran A. Khaleghi IKIU, Qazvin, Iran
	In today's world, there is plenty of data being generated from various sources in different areas across economics, engineering and science. For instance, accelerators are able to generate 3 PB data just in one experiment. Synchrotrons industry is an example of the volume and velocity of data which data is too big to be analyzed at once. While some light sources can deal with 11 PB, they confront with data problems. The explosion of data become an important and serious issue in today's synchrotrons world. Totally, these data problems pose in different fields like storage, analytics, visualisation, monitoring and controlling. To override these problems, they prefer HDF5, grid computing, cloud computing and Hadoop/Hbase and NoSQL. Recently, big data takes a lot of attention from academic and industry places. We are looking for an appropriate and feasible solution for data issues in ILSF basically. Contemplating on Hadoop and other up-to-date tools and components is not out of mind as a stable solution. In this paper, we are evaluating big data tools and tested techniques in various light source around the world for data in beamlines studying the storage and analytics aspects.
	Poster THPHA034 [1.345 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA034
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

TUPHA003

BDN NSLS-II Project Status: How to Recycle a Synchrotron?

ion, controls, detector, synchrotron

365

O. Ivashkevych, M. Abeykoon, J. Adams, G.L. Carr, L.C. De Silva, S. Ehrlich, M. Fukuto, R. Greene, C.A. Guerrero, J. Ma, G. Nintzel, P. Northrup, D. Poshka, R. Tappero, Z. Yin
BNL, Upton, Long Island, New York, USA

With many synchrotron facilities retiring or going through upgrades, what is the future of the some of the state-of-the-art equipment and the beamlines built for a specific science at these older facilities? Can the past investments continue supporting the current scientific mission? Beamlines Developed by NSLS2 (BDN) started in 2013 as the NxtGen project prior to NSLS last light on September, 30 2014. Hundreds of pieces of equipment still scientifically useful and valuable have been collected, packed and stored to become part of the new beamlines at the NSLS2 complex. CMS and TES beamlines were built in 2016 in 6 month from bare hutches to the First Light and are already doing user science. QAS, XFM, FIS/MET are taking first light in late 2017/early 2018 and users in 2018. Repurposed components have been fitted with standard NSLS2 EPICS based control systems, Delta Tau motion controllers, digital imaging. Intensity monitors and diagnostics have been equipped with new electronics. Data collection is performed via home grown customizable, beamline specific Bluesky Data Acquisition System. Status of the project and an overview of controls efforts will be presented.

Poster TUPHA003 [0.898 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA003

Export •

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

TUSH303

Managing your Timing System as a Standard Ethernet Network

ion, network, monitoring, timing

1007

A. Wujek, G. Daniluk, M.M. Lipinski
CERN, Geneva, Switzerland
A. Rubini
GNUDD, Pavia, Italy

White Rabbit (WR) is an extension of Ethernet which allows deterministic data delivery and remote synchronization of nodes with accuracies below 1 nanosecond and jitter better than 10 ps. Because WR is Ethernet, a WR-based timing system can benefit from all standard network protocols and tools available in the Ethernet ecosystem. This paper describes the configuration, monitoring and diagnostics of a WR network using standard tools. Using the Simple Network Management Protocol (SNMP), clients can easily monitor with standard monitoring tools like Nagios, Icinga and Grafana e.g. the quality of the data link and synchronization. The former involves e.g. the number of dropped frames; The latter concerns parameters such as the latency of frame distribution and fibre delay compensation. The Link Layer Discovery Protocol (LLDP) allows discovery of the actual topology of a network. Wireshark and PTP Track Hound can intercept and help with analysis of the content of WR frames of live traffic. In order to benefit from time-proven, scalable, standard monitoring solutions, some development was needed in the WR switch and nodes.

Poster TUSH303 [1.608 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUSH303

Export •

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

THCPL01

Speaking of Diversity

ion, controls, MMI, hardware

1168

K.S. White
ORNL, Oak Ridge, Tennessee, USA

Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract number DE-AC05-00OR22725.
Historically, attendance at the International Conference on Accelerator and Large Experimental Physics Control Systems has not been particularly diverse in terms of gender or race. In fact, the lack of diversity amongst the attendees was noted during the closing session of the 2015 conference by an invited speaker from outside the accelerator community. Informal discussion and observations support the assertion that our conference attendance reflects the diversity of the broader accelerator controls workforce. Facing very low participation of women in our field and even lower minority representation, it is important to examine this issue as studies point to the importance of diverse work groups to spark innovation and creativity as catalysts to solving difficult problems. This paper will discuss diversity and inclusion in the disciplines that comprise the accelerator controls workforce, including background, barriers and strategies for improvement.

Talk as video stream: https://youtu.be/94u5LpJ7DzY

Slides THCPL01 [5.586 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THCPL01

Export •

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

THPHA034

The Study of Big Data Tools Usages in Synchrotrons

ion, synchrotron, experiment, controls

1428

S. Alizada, A. Khaleghi
ILSF, Tehran, Iran
A. Khaleghi
IKIU, Qazvin, Iran

In today's world, there is plenty of data being generated from various sources in different areas across economics, engineering and science. For instance, accelerators are able to generate 3 PB data just in one experiment. Synchrotrons industry is an example of the volume and velocity of data which data is too big to be analyzed at once. While some light sources can deal with 11 PB, they confront with data problems. The explosion of data become an important and serious issue in today's synchrotrons world. Totally, these data problems pose in different fields like storage, analytics, visualisation, monitoring and controlling. To override these problems, they prefer HDF5, grid computing, cloud computing and Hadoop/Hbase and NoSQL. Recently, big data takes a lot of attention from academic and industry places. We are looking for an appropriate and feasible solution for data issues in ILSF basically. Contemplating on Hadoop and other up-to-date tools and components is not out of mind as a stable solution. In this paper, we are evaluating big data tools and tested techniques in various light source around the world for data in beamlines studying the storage and analytics aspects.

Poster THPHA034 [1.345 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA034

Export •

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