ICALEPCS2019 - List of Keywords (emittance)

Paper	Title	Other Keywords	Page
MOPHA017	pyAT, Pytac and pythonSoftIoc: a Pure Python Virtual Accelerator	controls, feedback, simulation, lattice	232
	W.A.H. Rogers, T.J.R. Nicholls, A.A. Wilson DLS, Oxfordshire, United Kingdom
	Virtual accelerators are used for testing control system software against realistic accelerator simulations. Previous virtual accelerators for synchrotron light sources have used Tracy* and Elegant* ** as the simulator, but without Python bindings for accelerator simulations it has been difficult to create a virtual accelerator using Python. With the development of Python Accelerator Toolbox (pyAT)**, that is now possible. This paper describes the combination of pyAT, Python Toolkit for Accelerator Controls (Pytac) and pythonSoftIoc to create an EPICS-based virtual accelerator for Diamond Light Source. TRACY-2 Documentation The DLS Control System elegant: A Code for Accelerator Simulation *A Virtual Accelerator in the Tango Control System ***pyAT: Python Accelerator Toolbox
	Poster MOPHA017 [1.006 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA017
About •	paper received ※ 30 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUCPR06	Fast Interactive Python-based Analysis of Streamed Images	controls, GUI, EPICS, background	824
	A. Sukhanov, W. Fu, J.P. Jamilkowski, R.H. Olsen BNL, Upton, New York, USA
	Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy. This paper reports on development of a general purpose image analysis application, tailored for beam profile monitor cameras of RHIC Collider-Accelerator complex. ImageViewer is pure Python application, based on PyQtGraph and SciPy packages. It accepts image stream from a RHIC image manager (optionally from an EPICS areaDetector driver, or from the file system). The standard analysis includes recognition of connected objects; for each object the parameters of a fitted ellipsoid (position, axes and tilt angle) are calculated using 2nd-order image moments, the parameters then corrected using gaussian fit of the object and a surrounding background. Other features supported: saving, image rotation, region of interest, projections, subtraction of a reference image, multi-frame averaging, pixel to millimeter calibration. Playback feature allows for fast browsing and cleanup of the saved images. User add-ons can be added dynamically as included modules. Each camera of the RHIC complex is equipped with a server (grahic-less) version of this application, providing the same analysis and publishing calculated parameters to RHIC Controls Architecture.
	Slides TUCPR06 [0.908 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR06
About •	paper received ※ 24 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOPHA017

pyAT, Pytac and pythonSoftIoc: a Pure Python Virtual Accelerator

controls, feedback, simulation, lattice

232

W.A.H. Rogers, T.J.R. Nicholls, A.A. Wilson
DLS, Oxfordshire, United Kingdom

Virtual accelerators are used for testing control system software against realistic accelerator simulations. Previous virtual accelerators for synchrotron light sources have used Tracy* ** and Elegant*** **** as the simulator, but without Python bindings for accelerator simulations it has been difficult to create a virtual accelerator using Python. With the development of Python Accelerator Toolbox (pyAT)*****, that is now possible. This paper describes the combination of pyAT, Python Toolkit for Accelerator Controls (Pytac) and pythonSoftIoc to create an EPICS-based virtual accelerator for Diamond Light Source.
*TRACY-2 Documentation
**The DLS Control System
***elegant: A Code for Accelerator Simulation
****A Virtual Accelerator in the Tango Control System
*****pyAT: Python Accelerator Toolbox

Poster MOPHA017 [1.006 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA017

About •

paper received ※ 30 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020

Export •

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

TUCPR06

Fast Interactive Python-based Analysis of Streamed Images

controls, GUI, EPICS, background

824

A. Sukhanov, W. Fu, J.P. Jamilkowski, R.H. Olsen
BNL, Upton, New York, USA

Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy.
This paper reports on development of a general purpose image analysis application, tailored for beam profile monitor cameras of RHIC Collider-Accelerator complex. ImageViewer is pure Python application, based on PyQtGraph and SciPy packages. It accepts image stream from a RHIC image manager (optionally from an EPICS areaDetector driver, or from the file system). The standard analysis includes recognition of connected objects; for each object the parameters of a fitted ellipsoid (position, axes and tilt angle) are calculated using 2nd-order image moments, the parameters then corrected using gaussian fit of the object and a surrounding background. Other features supported: saving, image rotation, region of interest, projections, subtraction of a reference image, multi-frame averaging, pixel to millimeter calibration. Playback feature allows for fast browsing and cleanup of the saved images. User add-ons can be added dynamically as included modules. Each camera of the RHIC complex is equipped with a server (grahic-less) version of this application, providing the same analysis and publishing calculated parameters to RHIC Controls Architecture.

Slides TUCPR06 [0.908 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR06

About •

paper received ※ 24 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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