at the heart of ESRF data acquisition
TUPV043
baked with love by the ESRF Instrumentation Services & Development Division Software Group
Beamline Control Unit: A. Beteva, G. Berruyer, L. Claustre, S. Debionne, S. Fisher, M. Guijarro, P. Guillou, C. Guilloud, A. Homs, M.C. Lagier, D. Mammeri, A. Mauro, J. Meyer, C. Muzelle, M. Oscarsson, E. Papillon, S. Petitdemange, V. Valls, H. Witsch / Data Analysis Unit: W. De Nolf
Beacon : web application to configure a whole beamline
Flint : data visualisation
based on the ESRF silx toolkit
Modular architecture, Abstraction layers and adapters
Data publishing and archiving enables online data analysis
Services built on top of
BLISS integrated environment covers a wide range of beamline control needs
BLISS shell integrates with Daiquiri UI the ESRF web-based framework for user interfaces
Daiquiri UI
see: THAR02
+
BLISS stands for BeamLine Instrumentation Support Software,
it is a new synchrotron experiments control system written in Python
BLISS controls today 24 beamlines (out of 48), full deployment is aimed in 2023
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BLISS Key Principles
Direct hardware control
Persistent
settings cache
Data publishing,
Transient storage
Scan acquisition chain represented as a tree
All-in-one solution
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BLISS Beacon server
Web interface for configuration editing
Beacon server
Devices & sequences configuration in YAML format
User sessions to group beamline devices for an experiment + Python setup file
configuration management
&
services
Transient data store
Settings cache
Centralized logging and log viewer web application
class: elmo
udp:
url: 160.103.51.174
axes:
- name: nth
acceleration: 36
steps_per_unit: 30577
velocity: 180.0
home_velocity: 15
velocity_low_limit: .inf
velocity_high_limit: 360.0
low_limit: -.inf
high_limit: .inf
sign: 1
backlash: 0.0
- class: aerotech
tcp:
url: id31aerotech-1
axes:
- name: nth_aero
acceleration: 5
steps_per_unit: 1
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BLISS Modular Architecture
Beacon server
data
streams
Mini frameworks within BLISS, to ease integration of same kind of hardware
Adaptation layer, to make hardware controllers behaving properly in scans, depending on the scan
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BLISS data publishing and archiving
Daiquiri web GUI
see: THAR02
- redis streams are used to push data to redis during acquisition
- only references to heavy data (2D) are published to redis, refs will be resolved at runtime when asked by a listener
- online data analysis scripts can be easily written using BLISS Python API
- BLISS fully supports ESRF data policy (based on PaNdata Europe and FAIR data initiatives), and interoperates with ICAT and ESRF data portal
ICALEPCS'21: BLISS at the heart of ESRF data acquisition
By Matias Guijarro
ICALEPCS'21: BLISS at the heart of ESRF data acquisition
Poster about BLISS for ICALEPCS'21
