ICALEPCS2017 - List of Authors (Borghes, R.)

Paper	Title	Page
TUPHA208	Evolving a LabVIEW End-Station Software to a TANGO-Based Solution at the TwinMic Elettra Beamline	948
	R. Borghes, V. Chenda, A. Gianoncelli, G. Kourousias Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	Developing and deploying software systems for data acquisition and experiment control in a beamline laboratory can be a very challenging task. In certain cases there is the need to replace and modernize an existing system in order to accommodate substantial beamline upgrades. DonkiOrchestra is a TANGO-based framework for data acquisition and experiment control developed at Elettra Sincrotrone Trieste. The framework is based on an advanced software trigger-driven paradigm developed in-house. DonkiOrchestra is meant to be general and flexible enough to be adapted to the development needs of different laboratories and their data acquisition requirements. This presentation outlines the upgrade of the LabVIEW-based TwinMic beamline control system which hosts a unique soft X-ray transmission and emission microscope. Other than the technical demanding tasks of interfacing and controlling old and new instrumentation with DonkiOrchestra, this presentation discusses the various challenges of upgrading the software in a working synchrotron beamline.
	Poster TUPHA208 [0.962 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA208
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THMPA03	A Simulation System for the European Spallation Source (ESS) Distributed Data Streaming	1307
	C. Reis, R. Borghes, G. Kourousias, R. Pugliese Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	European Spallation Source (ESS), the next-generation neutron source facility, is expected to produce an immense amount of data. Various working groups mostly associated with the EU project BrightnESS aim at developing solutions for its data-intensive challenges. The real-time data management and aggregation is among the top priorities. The Apache KAFKA framework will be the base for ESS real-time distributed data streaming. One of the major challenges is the simulation of data streams from experimental data generation to data analysis and storage. This presentation outlines a simulation approach based on the DonkiOrchestra data acquisition and experiment control framework, re-purposed as a data streaming simulation system compatible with the ESS-KAFKA infrastructure.
	Slides THMPA03 [1.063 MB]
	Poster THMPA03 [1.409 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THMPA03
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Evolving a LabVIEW End-Station Software to a TANGO-Based Solution at the TwinMic Elettra Beamline

948

R. Borghes, V. Chenda, A. Gianoncelli, G. Kourousias
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

Developing and deploying software systems for data acquisition and experiment control in a beamline laboratory can be a very challenging task. In certain cases there is the need to replace and modernize an existing system in order to accommodate substantial beamline upgrades. DonkiOrchestra is a TANGO-based framework for data acquisition and experiment control developed at Elettra Sincrotrone Trieste. The framework is based on an advanced software trigger-driven paradigm developed in-house. DonkiOrchestra is meant to be general and flexible enough to be adapted to the development needs of different laboratories and their data acquisition requirements. This presentation outlines the upgrade of the LabVIEW-based TwinMic beamline control system which hosts a unique soft X-ray transmission and emission microscope. Other than the technical demanding tasks of interfacing and controlling old and new instrumentation with DonkiOrchestra, this presentation discusses the various challenges of upgrading the software in a working synchrotron beamline.

Poster TUPHA208 [0.962 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA208

Export •

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

THMPA03

A Simulation System for the European Spallation Source (ESS) Distributed Data Streaming

1307

C. Reis, R. Borghes, G. Kourousias, R. Pugliese
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

European Spallation Source (ESS), the next-generation neutron source facility, is expected to produce an immense amount of data. Various working groups mostly associated with the EU project BrightnESS aim at developing solutions for its data-intensive challenges. The real-time data management and aggregation is among the top priorities. The Apache KAFKA framework will be the base for ESS real-time distributed data streaming. One of the major challenges is the simulation of data streams from experimental data generation to data analysis and storage. This presentation outlines a simulation approach based on the DonkiOrchestra data acquisition and experiment control framework, re-purposed as a data streaming simulation system compatible with the ESS-KAFKA infrastructure.

Slides THMPA03 [1.063 MB]

Poster THMPA03 [1.409 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THMPA03

Export •

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