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Data Acquisition and Instrument Control @ ILL

Data Acquisition and Instrument Control @ ILL. Paolo Mutti - ILL ESI - 18 June 2015. Outline. Physics @ ILL. Detectors. DAC electronics. NOMAD - Instrument control software. Coming soon. The Source. 58 MW reactor.

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Data Acquisition and Instrument Control @ ILL

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  1. Data Acquisition and Instrument Control@ ILL Paolo Mutti - ILL ESI - 18 June 2015

  2. Outline Physics @ ILL Detectors DAC electronics NOMAD - Instrument control software Coming soon

  3. The Source . 58 MW reactor 2 1015 n/cm2/s

  4. Main Research Fields 850 experiments/year 2000 users 38 countries 40 instruments • Condense matter physics • Material science • Chemistry • Biology • Nuclear and Particle physics

  5. Which Particles Neutrons (fast, epithermal, cold, UCN) Gammas Charged particles (b, a, ions) Photons

  6. Which Detectors 3He, 10B, scintillators HPGe, LaBr3(Ce), BGO, NaI, etc … Ionization chamber, Si, TPC CCD and CMOS cameras

  7. Acquisition Modes Simple Count Time-of-Flight Simple image of the detector with or without a pixel binning mask Kinetic Events are arranged as a function of the travel time from the source to the detector in channels from 100 ns to 100 ms ToF - Kinetic For each Kinetic time slice the events are arranged in ToF ToF - Extern Events are arranged as a function of time from an initial TOP in channels from 100 ms to 100 s Doppler Events are arranged in ToF and a number of slices are generated by an external signal Acquires energy spectra from peak-sensing ADCs Energy Events are arranged in speed slices according to the information delivered by the Doppler drive Full digital acquisition, energy and time are recorded in list-mode DPP

  8. DAC - Requirements Handle high event rate (up to 10 MHz) Minimize dead-time and pileup Accurate timing (10 ps) High data throughput (up to 80 MB/s) Synchronization with complex instrument operations

  9. A Variety of Signals 5 V TTL: Digital Analog 0 V Address: 0x7f66 Pulse-Shape: Current/Voltage: Phase:

  10. The Relevant Quantities Particle Timing Charge = Energy Detector Position and/or Trajectory

  11. Analogue Approach Shaping Time, Gain Peak Sensing ADC Energy Charge Sensitive Preamplifier Logic Unit Pos. Slow Shaping Amplifier Fast Amplifier - + Discriminator TDC Time Fast Count Scaler Threshold

  12. Analogue Complexity

  13. Digital Approach Digitizer Energy Interface DPP IN A/D Time Samples Count Shape Very high throughput of data Requires DPP to reduce flux to relevant quantities

  14. A/D Comparison • ADVANTAGES • One single board can do energy, timing and pulse shape analysis. • Low cost per channel and reliability. • Low dead-time in the acquisition. • Synchronization and correlation among several channels (coincidence). • All in FPGA, flexibility in tuning and calibration. • DISADVANTAGES • Setting up the system requires time and a knowledge of the relevant parameters. • Loss of resolution with fast signals. We are limited by the bit resolution and sampling rate.

  15. A Digital Example • 18 month preparation (administration…) • 20 (hard) days installation • 100 days (and nights) of beam-time • More than 200 people • New digital DAC electronics • New data storage (60 TB) • 3 different detector’s configuration More details on next video!

  16. A Unique DAC Solution Data acquisition performed fully in hardware Event rate: ~ 10 MHz 15 bit resolution Up to 2 GS/s Optical link to storage • Fully Digital CFD Time resolution: 14 ps Virtex 6 + 1 GB ram Data Concentrator (event-mode, histogram, coincidence) 12 bit – 1 Gs/s General clock for data taking (100 ns) Perfect for LaBr3(Ce)

  17. Digital System Performances 152Eu source 1112.1 1085.8 1089.7 FWHM = 2.0 keV @ 1408 keV

  18. Digital System Performances 22Na & 60Co source – timing resolution Electronic time resolution : 14 ps 511-511 keV prompt 1173-1332 keV prompt

  19. Instrument Control Software NOMAD Team project to optimize resources Facilitate development and maintenance Unique interface to facilitate user’s operations Abstraction to hide technical complexity Tools to help setting up and evaluating results Unique for all ILL instruments

  20. NOMAD Architecture Java + SWT Dynamic interface engine Real time visualization (OpenGL) OMNIORB C++ Drivers and controllers Scheduler: sequential and parallel execution File system: data, logs, rules, etc…

  21. A Graphical Control Working Area Elementary Box Selection Area Composite Box Progress Bar Execution Control

  22. Scientific Controllers Allow user to work directly with the relevant physical quantities (e.g. l, Qrange, hkl, Energy)

  23. Scientific Controllers Instrument performance optimizer for fine adjustments or advanced regulations

  24. Take Decisions - IF

  25. Flow Control – IF BREAK

  26. Different Interfaces Switch between graphics and command-line

  27. NOMAD Mobile Tablet support allows a dedicated very powerful remote control for instrument operations

  28. On The WEB http://nomad.ill.fr/

  29. On The WEB http://logs.ill.fr/

  30. Coming Soon Counting single neutron with cameras 5.5 2.5 3.3 Am-Be Neutron Hot pixel Gammas

  31. Coming Soon Live data reduction within the sequencer Request Methods (with parameters) Data files (one or many) Check if finished (status) Scientific Methods Results (data arrays or values)

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