ICALEPCS2017 - List of Authors (Petitdemange, S.)

Paper	Title	Page
TUPHA194	LIMA: Library for IMage Acquisition a Worldwide Project for 2D Detector Control	886
	S. Petitdemange, L. Claustre, A. Henry, A. Homs, R. Homs Regojo, D. Naudet, E. Papillon ESRF, Grenoble, France F. Langlois SOLEIL, Gif-sur-Yvette, France G.R. Mant STFC/DL, Daresbury, Warrington, Cheshire, United Kingdom A. Noureddine MEDIANE SYSTEM, Le Pecq, France
	The LIMA project started in 2009. The goal was to provide a software library for the unified control of 2D detectors. LIMA is a collaborative project involving synchrotrons, research facilities and industrial companies. LIMA supports most detectors used for X-ray detection or other scientific applications. Live display is supported via a video interface and most of the native video camera image formats are supported. LIMA provides a plug-in architecture for on-line processing which allows image pre-treatment before saving e.g. noise reduction algorithm or automatic X-ray beam attenuation during continuous scans. The library supports many file format including EDF, CBF, FITS, HDF5 and TIFF. To cope with increasing detector acquisition speed, the latest LIMA release includes multi-threaded, parallelized image saving with data compression (gzip or lz4). For even higher throughput a new design, based on a distributed multi-computer architecture, of the LIMA framework is envisaged. The paper will describe the LIMA roadmap for the coming years.
	Poster TUPHA194 [0.924 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA194
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEBPL05	BLISS - Experiments Control for ESRF EBS Beamlines	1060
	M. Guijarro, A. Beteva, T.M. Coutinho, M.C. Dominguez, C. Guilloud, A. Homs, J.M. Meyer, V. Michel, E. Papillon, M. Perez, S. Petitdemange ESRF, Grenoble, France
	BLISS is the new ESRF control system for running experiments, with full deployment aimed for the end of the EBS upgrade program in 2020. BLISS provides a global approach to run synchrotron experiments, thanks to hardware integration, Python sequences and an advanced scanning engine. As a Python package, BLISS can be easily embedded into any Python application and data management features enable online data analysis. In addition, BLISS ships with tools to enhance scientists user experience and can easily be integrated into TANGO based environments, with generic TANGO servers on top of BLISS controllers. BLISS configuration facility can be used as an alternative TANGO database. Delineating all aspects of the BLISS project from beamline device configuration up to the integrated user interface, this talk will present the technical choices that drove BLISS design and will describe the BLISS software architecture and technology stack in depth.
	Talk as video stream: https://youtu.be/i0wx3LdZ0gM
	Slides WEBPL05 [9.242 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-WEBPL05
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

LIMA: Library for IMage Acquisition a Worldwide Project for 2D Detector Control

886

S. Petitdemange, L. Claustre, A. Henry, A. Homs, R. Homs Regojo, D. Naudet, E. Papillon
ESRF, Grenoble, France
F. Langlois
SOLEIL, Gif-sur-Yvette, France
G.R. Mant
STFC/DL, Daresbury, Warrington, Cheshire, United Kingdom
A. Noureddine
MEDIANE SYSTEM, Le Pecq, France

The LIMA project started in 2009. The goal was to provide a software library for the unified control of 2D detectors. LIMA is a collaborative project involving synchrotrons, research facilities and industrial companies. LIMA supports most detectors used for X-ray detection or other scientific applications. Live display is supported via a video interface and most of the native video camera image formats are supported. LIMA provides a plug-in architecture for on-line processing which allows image pre-treatment before saving e.g. noise reduction algorithm or automatic X-ray beam attenuation during continuous scans. The library supports many file format including EDF, CBF, FITS, HDF5 and TIFF. To cope with increasing detector acquisition speed, the latest LIMA release includes multi-threaded, parallelized image saving with data compression (gzip or lz4). For even higher throughput a new design, based on a distributed multi-computer architecture, of the LIMA framework is envisaged. The paper will describe the LIMA roadmap for the coming years.

Poster TUPHA194 [0.924 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA194

Export •

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

WEBPL05

BLISS - Experiments Control for ESRF EBS Beamlines

1060

M. Guijarro, A. Beteva, T.M. Coutinho, M.C. Dominguez, C. Guilloud, A. Homs, J.M. Meyer, V. Michel, E. Papillon, M. Perez, S. Petitdemange
ESRF, Grenoble, France

BLISS is the new ESRF control system for running experiments, with full deployment aimed for the end of the EBS upgrade program in 2020. BLISS provides a global approach to run synchrotron experiments, thanks to hardware integration, Python sequences and an advanced scanning engine. As a Python package, BLISS can be easily embedded into any Python application and data management features enable online data analysis. In addition, BLISS ships with tools to enhance scientists user experience and can easily be integrated into TANGO based environments, with generic TANGO servers on top of BLISS controllers. BLISS configuration facility can be used as an alternative TANGO database. Delineating all aspects of the BLISS project from beamline device configuration up to the integrated user interface, this talk will present the technical choices that drove BLISS design and will describe the BLISS software architecture and technology stack in depth.

Talk as video stream: https://youtu.be/i0wx3LdZ0gM

Slides WEBPL05 [9.242 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-WEBPL05

Export •

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