Download presentation
Presentation is loading. Please wait.
Published byArnold Houston Modified over 9 years ago
1
Réunion Contrôle Expérience 28/03/2003 1 Experiments Controls Vision, ideas, tasks to begin with … Alain Buteau Andy Götz
2
Réunion Contrôle Expérience 28/03/2003 2 Vision Functional description of the problem: A guiding “Use Cases document” Division of the problem in “independent” subproblems Develop the so called “Experiment development framework”
3
Réunion Contrôle Expérience 28/03/2003 3 Logging Bus Logiciel TANGO Supervision Configuration Séquencement Acquisition Logic Services Control of equipements How to we present the architecture to our future customers How to we present the architecture ? Device ADC Signal Acquisition Device ADC Signal Acquisition Capteur Device T° Capteur Device T° Control systems services Archiving Archiving services Fits … Scientific data Management /Analysis Database File storage Spectra creation
4
Réunion Contrôle Expérience 28/03/2003 4 Control of equipements SOLEIL’s philosophy: Control of equipements Must always be done with TANGO devices Because all upper layers services are based on the TANGO software bus Coupling of devices must also be done within TANGO devices : Example of Monochromator, Slits,etc Task : Define standard interfaces It must be possible to develop Tango Devices with a scripting langage Task : Python DeviceServers
5
Réunion Contrôle Expérience 28/03/2003 5 Control systems services
6
Réunion Contrôle Expérience 28/03/2003 6 Control system services Configuration : Jive is a good candidate even if a « jive for dummies » would be appreciated Ideas : Importation in jive of predefined configuration files for « common hardware » with predefined parameters Implement the jive functionnalities described in last year Jens’ specs (« DataViews »,etc..) Tasks : Nothing really urgent for experiments !! Enhance the tool for the Machine may be enough for now Add support for SKINS (different views of database)
7
Réunion Contrôle Expérience 28/03/2003 7 Control system services Logging : Gathers, displays, filters messages from DeviceServer and output of « acquisition logic » scripts Tasks : Develop logging mechanisms in bindings (python for instance) as messages are also emitted by this upper layer
8
Réunion Contrôle Expérience 28/03/2003 8 Supervision: control individually each equipement on the beamline Ideas 1 generic application as DeviceTree Some specific applications like Synoptics and/or specific panels for ergonomy Tasks Work on this topic for Machine !!
9
Réunion Contrôle Expérience 28/03/2003 9 Archiving services
10
Réunion Contrôle Expérience 28/03/2003 10 Archiving services Historical DataBase May be useful for beamline engineers Not use to manage experimental data !! Tasks Make it work with good extraction tools for the Machine Use free DATABASE (MySQL?) as scientists are probably not ready to pay for a service they ignore the existence Snapshots Service of major importance on beamlines Tasks Make it work with good extraction tools for the Machine Use free DATABASE
11
Réunion Contrôle Expérience 28/03/2003 11 Acquisition logic or Batch files
12
Réunion Contrôle Expérience 28/03/2003 12 Acquisition logics Idea : 1 acquisition logic = 1 batch = 1 script Scripts may be written in Users Environments like MATLAB or IGOR if : Scientists maintain this part of the software Acquition logic on the beamline are not well defined and are subject to frequent changes Python is a good scripting choice for Controls Systems provided as « turn key » systems by the Controls group Tasks : Define in TANGO the notion of « attribute alias » : Phi px1/sample_environment/galilbox1/galilaxis1 So that it is possible at each step of scan to –Change a writeable attribute (like the SPEC notion of motor) –Read a readable attribute (like the SPEC notion of counter) Write generic scripts from the SPEC list of macros : Ascan, a2scan, Write hkl scripts at least for diffractometers
13
Réunion Contrôle Expérience 28/03/2003 13 Acquisition logics: Execution systems Ideas : Parameter each recipe for a « particular execution » This « acquisition logic/batch » is a scan on motor phi with 5° steps and with sample « AlCuO » Executes sequences of recipes, linked by transitions Tasks Begin with NICOS as a python sequencer to provide a command line end user interface Find a good existing product to make a first GUI command line interface (from SCADA and/or GPL) Motor scan TOF Counting Simple Counting
14
Réunion Contrôle Expérience 28/03/2003 14 Scientific Data management
15
Réunion Contrôle Expérience 28/03/2003 15 Spectrum creation Definition : At predefined steps in an acquisition logic, scientists want to : Create a file called spectrum/image containing : Either raw data from electronics or data pre-treated by the script The context of the experiment : –Name of sample, of scientist –Position of all encoders, pressure, temperature,etc Controls people want to have a file creation mechanism independent of The hardware existing on the experiment The physical format of the output file A possible solution : Use a self describing data format with an API to access Data inside the file NeXus is a good candidate Display experiment status on the web
16
Réunion Contrôle Expérience 28/03/2003 16 Spectrum creation Tasks : Write a DeviceServer whose task is : to create the Spectrum/Image envelop creation to deal with underlying NeXus file format Gather all the context of the experiment The FRM II TACO NexusDataCollector is a good starting point Enhance NeXus format to use XML as the underlying physical format instead of HDF (to avoid binary format for small files)
17
Réunion Contrôle Expérience 28/03/2003 17 DataVisualisation Problem definition : transfer the data from the batch and/or hardware to the end user favorite plotting tool from the end user favorite plotting tool to the running recipe to continue the data collection Ideas : Write batch files in generic data visualisation terms (to avoid plotting tools religion wars): Ex: plot(my_vector) or Image (my_matrix) Use TANGO as the software bus to transfer Data between these 2 worlds ? Pros : benefit from existing bindings Cons : need to define a DataManager TANGO interface Tasks : Develop NeXus spectrum/image reader for MATLAB, IGOR
18
Réunion Contrôle Expérience 28/03/2003 18 Conclusion Future Work on the integration of these various software in a coherent whole Now : Put all source code on SourceForge SOLEIL tasks list : Batch sequencer Scanning scripts Hkl scripts DataBase topics NeXus ?? ESRF tasks list : Beamline server to serve experiment context Attributes as objects Define standard interfaces Web interface Test on ID14
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.