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DMSC services Stig Skelboe

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1 DMSC services Stig Skelboe
Project Leader ESS Data Management and Software Center

2 DMSC services - measurements

3 Experiment control software
Control of instrument Configuration of instrument Sequence of setting Control of sample environment Sequencing of instrument and sample environment settings Logging of settings and detectors Presentation of experiment configuration Authentification of user Remote control of experiments

4 Data acquisition, event mode
High data rates Accelerator/ neutron pulses numbered and characterized Detector electronics, depends on detector type, includes calibration logic Hardware buffers Global instrument clock Separate data network (Gigabit, Infiniband...) Separate data acquisition computers

5 Neutron detectors 105 – 106 pixels Deadtime ≈ 10 μs
103 – 106 neutrons per pulse (2 ms) 1 neutron event gives 8 Bytes 8 kB – 8 MB in 2 ms 112 kB/s – 112 MB/s

6 Data rates and volumes Peak per instrument:
100 MB/sec -> 360 GB/h -> 1 TB/measurement Fiber: 10 Gb/sec ~ 1 GB/sec Transfer of 1 TB ~ 1000 sec ~ 17 min Max data per year: 1 PB -> 3 TB/day -> 140 GB/day/instrument

7 Imaging and tomography
Resolution: 4k x 4k -> 16M pixels -> 32 MB 360 angle views: 11 GB 10 sec per view -> 11 GB per hour 3D reconstruction: 4k x 4k x 4k -> 128 GB

8 Storage system Large data volumes, 1 PB/year
Standard format, e.g. Nexus Measurement data and corresponding meta data Controlled access from ”everywhere” Provide all data for analysis steps Seemless interface with analysis software Safe storage, archiving Database with meta data and links to data files ICAT used by ISIS, Diamond, SNS, ANSTO

9 Bragg’s law nλ=2d sin θ

10 Neutron Powder Diffractometer at LANSCE

11 Powder diffraction pattern from spallation source
nλ=2d sin θ

12 Data analysis General tools used with most instruments
Instrument specific analysis software Instruments have yet to be determined ESS challenges Exploit event based data Exploit repetition rate multiplication Current development: Mantid ISIS, SNS, HFIR, ILL recently High-performance computing on neutron data Provides a set of common services, algorithms and data objects Instrument or technique independent

13 Repetition rate multiplication
Inelastic scattering: λin ≠λout 100m neutron guide 6-7 choppers 8-10 narrow band pulses for each 2.8 ms pulse λ = Å, Δλ = 0.25 Å Inelastic scattering requires narrow band pulses

14 DMSC services - simulations

15 Data analysis and simulation
Simulation software, e.g. McSTAS To be integrated in analysis framework Used for Training Experiment planning Instrument design Analysis method development Data correction, e.g. for multiple reflections

16 Theoretical materials modeling
Interpretation of measurements using: Classical molecular dynamics Ab-initio molecular dynamics Quantum mechanical methods Density functional theory based Hartree-Fock methods All very compute intensive methods

17

18 Thank you ! Stig Skelboe Project Leader
ESS Data Management and Software Center


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