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LUSI Experiment Needs Yiping Feng

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1 LUSI Experiment Needs Yiping Feng
Fluctuations Diagnostic suite Intensity Spatial Temporal Spectral Large 2-dim detectors Sophisticated DAQ Data storage Real time processing Diagnostics used for all instruments Motivations for constructing these devices, why are they important Specifications and description Diagnostics are X-ray diagnostics Page

2 Electron Beam Characteristics
X-ray Free-Electron Laser (FEL) is fundamentally different from storage-ring based synchrotron sources. For the LCLS photo-injection at 120 Hz at LCLS Each macro electron bunch is different at origination Different timing, length, density After passing through the Linac including acceleration and compression Added difference in timing, length, density Additional difference in energy, orbit Orbit correction less effective due to low repetition rate in contrast to synchrotron sources (revolution frequency at APS = 272 kHz) Page

3 X-ray Beam Characteristics
X-ray amplification process based on self-seeding SASE* Lasing starts from a random electron density distribution Each X-ray pulse consists of a random time sequence of spikes of varying degrees of saturation X-ray FEL exhibits inherent Intensity, spatial, temporal, and spectral fluctuations on pulse by pulse basis *Self Amplification of Spontaneous Emission Page

4 Expected Fluctuations of LCLS FEL pulses
Parameter Value Origin* Pulse intensity fluctuation ~ 30 % Varying # of FEL producing SASE spikes; 100% intensity fluctuation/per-spike; etc. Position & pointing jitter (x, y, a, b) ~ 25 % of beam diameter ~ 25 % of beam divergence Varying trajectory per pulse; Saturation at different locations of b-tron curvature Source point jitter (z) ~ 5 m SASE process reaching saturation at different z-points in undulator X-ray pulse timing (arrival time) jitter ~ 1 ps FWHM Timing jitter btw injection laser and RF; Varying e-energy per-pulse X-ray pulse width variation ~ 15 % Varying e-energy leading to varying path (compression) in bunch compressors Center wavelength variation ~ 0.2 % (comparable to FEL bandwidth) Varying e-energy leading to varying FEL fundamental wavelength and higher order 1) Linear accelerator based x-ray sources are fundamentally much different from synchrotron based sources and are comparatively unstable. Therefore, even when fully commissioned and running at saturation, intensity fluctuations are expected to exceed 30%, spatial jitter in the beam pointing …, …. 2) Unless mitigated, the level of jitter in these parameters would limit the studies that would be successfully performed. Since one cannot control these parameters to better than these values, the solution is to construct diagnostics that can measure them on a pulse by pulse basis. *To be discussed in details now Page

5 Expected Fluctuations of LCLS FEL pulses
Parameter Value Origin* Pulse intensity fluctuation ~ 30 % Varying # of FEL producing SASE spikes; 100% intensity fluctuation/per-spike; etc. Position & pointing jitter (x, y, a, b) ~ 25 % of beam diameter ~ 25 % of beam divergence Varying trajectory per pulse; Saturation at different locations of b-tron curvature Source point jitter (z) ~ 5 m SASE process reaching saturation at different z-points in undulator X-ray pulse timing (arrival time) jitter ~ 1 ps FWHM Timing jitter btw injection laser and RF; Varying e-energy per-pulse X-ray pulse width variation ~ 15 % Varying e-energy leading to varying path (compression) in bunch compressors Center wavelength variation ~ 0.2 % (comparable to FEL bandwidth) Varying e-energy leading to varying FEL fundamental wavelength and higher order 1) Linear accelerator based x-ray sources are fundamentally much different from synchrotron based sources and are comparatively unstable. Therefore, even when fully commissioned and running at saturation, intensity fluctuations are expected to exceed 30%, spatial jitter in the beam pointing …, …. 2) Unless mitigated, the level of jitter in these parameters would limit the studies that would be successfully performed. Since one cannot control these parameters to better than these values, the solution is to construct diagnostics that can measure them on a pulse by pulse basis. *To be discussed in details now Page

6 Transverse Jitter Steering coil power supply regulation
Quadrupole magnet transverse vibrations Quadrupole magnet power supply regulation in presence of typical 200-mm transverse misalignment RF structure wakefields with varying charge and typical 200-mm transverse misalignments CSR in bunch compressor chicanes with varying bunch length Page

7 Spatial Jitter Transverse Stability Pointing Stability Orbit-1a
Orbit-1b e- beam X-ray beam Orbit-2a Orbit-2b Pointing Stability Page

8 Expected Fluctuations of LCLS FEL pulses
Parameter Value Origin* Pulse intensity fluctuation ~ 30 % Varying # of FEL producing SASE spikes; 100% intensity fluctuation/per-spike; etc. Position & pointing jitter (x, y, a, b) ~ 25 % of beam diameter ~ 25 % of beam divergence Varying trajectory per pulse; Saturation at different locations of b-tron curvature Source point jitter (z) ~ 5 m SASE process reaching saturation at different z-points in undulator X-ray pulse timing (arrival time) jitter ~ 1 ps FWHM Timing jitter btw injection laser and RF; Varying e-energy per-pulse X-ray pulse width variation ~ 15 % Varying e-energy leading to varying path (compression) in bunch compressors Center wavelength variation ~ 0.2 % (comparable to FEL bandwidth) Varying e-energy leading to varying FEL fundamental wavelength and higher order 1) Linear accelerator based x-ray sources are fundamentally much different from synchrotron based sources and are comparatively unstable. Therefore, even when fully commissioned and running at saturation, intensity fluctuations are expected to exceed 30%, spatial jitter in the beam pointing …, …. 2) Unless mitigated, the level of jitter in these parameters would limit the studies that would be successfully performed. Since one cannot control these parameters to better than these values, the solution is to construct diagnostics that can measure them on a pulse by pulse basis. *To be discussed in details now Page

9 Z-Jitter Dz DR2 = DZ DR2 R1 R2 DR2 = DR1(R2/R1)2 Page

10 Expected Fluctuations of LCLS FEL pulses
Parameter Value Origin* Pulse intensity fluctuation ~ 30 % Varying # of FEL producing SASE spikes; 100% intensity fluctuation/per-spike; etc. Position & pointing jitter (x, y, a, b) ~ 25 % of beam diameter ~ 25 % of beam divergence Varying trajectory per pulse; Saturation at different locations of b-tron curvature Source point jitter (z) ~ 5 m SASE process reaching saturation at different z-points in undulator X-ray pulse timing (arrival time) jitter ~ 1 ps FWHM Timing jitter btw injection laser and RF; Varying e-energy per-pulse X-ray pulse width variation ~ 15 % Varying e-energy leading to varying path (compression) in bunch compressors Center wavelength variation ~ 0.2 % (comparable to FEL bandwidth) Varying e-energy leading to varying FEL fundamental wavelength and higher order 1) Linear accelerator based x-ray sources are fundamentally much different from synchrotron based sources and are comparatively unstable. Therefore, even when fully commissioned and running at saturation, intensity fluctuations are expected to exceed 30%, spatial jitter in the beam pointing …, …. 2) Unless mitigated, the level of jitter in these parameters would limit the studies that would be successfully performed. Since one cannot control these parameters to better than these values, the solution is to construct diagnostics that can measure them on a pulse by pulse basis. *To be discussed in details now Page

11 Expected Fluctuations of LCLS FEL pulses
Parameter Value Origin* Pulse intensity fluctuation ~ 30 % Varying # of FEL producing SASE spikes; 100% intensity fluctuation/per-spike; etc. Position & pointing jitter (x, y, a, b) ~ 25 % of beam diameter ~ 25 % of beam divergence Varying trajectory per pulse; Saturation at different locations of b-tron curvature Source point jitter (z) ~ 5 m SASE process reaching saturation at different z-points in undulator X-ray pulse timing (arrival time) jitter ~ 1 ps FWHM Timing jitter btw injection laser and RF; Varying e-energy per-pulse X-ray pulse width variation ~ 15 % Varying e-energy leading to varying path (compression) in bunch compressors Center wavelength variation ~ 0.2 % (comparable to FEL bandwidth) Varying e-energy leading to varying FEL fundamental wavelength and higher order 1) Linear accelerator based x-ray sources are fundamentally much different from synchrotron based sources and are comparatively unstable. Therefore, even when fully commissioned and running at saturation, intensity fluctuations are expected to exceed 30%, spatial jitter in the beam pointing …, …. 2) Unless mitigated, the level of jitter in these parameters would limit the studies that would be successfully performed. Since one cannot control these parameters to better than these values, the solution is to construct diagnostics that can measure them on a pulse by pulse basis. *To be discussed in details now Page

12 Goals X-ray diagnostics are required to measure these fluctuations since they can’t be eliminated Integral parts of Instruments Timing & intensity measurements for XPP experiments Wave-front characterization for CXI experiments Measurements made on pulse-by-pulse basis Requiring real-time processing by controls/data systems Commonalities in needs & specs Standardized and used for all applicable instruments Modularized for greater flexibility of deployment and placement Critical diagnostics must be performed and data made available on pulse-by-pulse basis Page

13 Fluctuations, 120 hz pulse rate drive DAQ requirements
The 120 Hz per-pulse data collection/reduction, high data rate, large data volume, and sub-ps timing control requirements of LCLS experiments go far beyond those at existing synchrotron sources, requiring considerable complexity and sophistication in controls and data systems’ design, implementation, and integration that are not feasible for individual experimental teams LCLS/LUSI controls and data systems must Provide standard controls to all instruments Support diagnostic measurements Provide standard data acquisition capabilities Provide standard data storage and management capabilities Provide certain standard data analysis capabilities The WBS 1.6 for controls will provide controls for endstations presented so far, Page

14 Data system requirements
Data acquisition Real-time data processing Quick view Data management On-line storage Long term archiving/retrieval Data analysis Volume rendering visualization Page

15 2D Detectors Plug-play with a common interface? Cornell (PAD)
BNL(XAMPS) Technology diode/ASIC Architecture Bump-bond integrated readout pixel column size 190x190x32 1024x1024 Data rate 1.9Gb/s 1.5Gb/s Resolution 14bit 12bit Plug-play with a common interface? Page

16 Data rates - CXI Data Rate/Volume of CXI Experiment
high peak rate & large volume comparable to high-energy physics experiments such as SLAC Data Rate/Volume of CXI Experiment (comparable to other experiments) LCLS Pulse Rep Rate (Hz) 120 Detector Size (Megapixel) 1.2 Intensity Depth (bit) 14 Success Rate (%) 30% Ave. Data Rate (Gigabit/s) 0.6 Peak Data Rate (Gigabit/s) 1.9 Daily Duty Cycle (%) 50% Accu. for 1 station (TB/day) 3.1 Is it possible to perform real-time data analysis to reduce the data rate? require high performance and high capacity data acquisition and management system Page

17 Long term data storage needs
Year 2009- 2012- 2015- Rep Rate (Hz) 120 Detector Size (Megapixel) 0.58 1.16 Projected 5.8 Intensity Depth (bit) 14 Success Rate (%) 10% 30% 50% Ave. Data Rate (Gigabit/s) 0.1 4.9 Peak Data Rate (Gigabit/s) 0.97 1.94 9.8 Daily Duty Cycle (%) 25% 75% Accu. for 1 station (TB/day) 0.26 3.14 39 Accu. for 3 stations (TB/day) 0.80 9.4 118 Yearly Uptime (%) Accu. (Petabyte/year) 0.072 1.7 32 Duration/Lifetime (year) 3 Total Accu. (Petabyte) 0.22 5.2 97 Page

18 Overall data needs Per pulse data collection Raw data rate and volume
Experimental Diagnostic – EO signal, e- and g beam parameters Raw data rate and volume 2 Gb/sec or higher On-line storage capacity - 20 TB/day Timing/Triggering EO timing measurement < 1 ps Detector trigger < 1 ms Real time analysis Frame correction, quality control To the extent possible - binning, sparsification, FFT Quick view Quasi real-time feedback, 5 frame/s Alignment Data Management Unified data model Archiving capacity – 5 PB/year Analysis staging storage capacity – 20 TB Offline Analysis > 1000 node cluster Page

19 Applications needs User programs
Endstation operation Calibration Alignment Interface to SW for diffraction/scattering experiments SPEC Interface to instrumentation/analysis SW MatLab LabView User tools STRIP tool ALARM Handler Page

20 Pieces of the Puzzle Pulse-by-pulse info exchange High peak rate/
large volume EO Timing & Triggering Feedback Data Archiving/Retrieval Offline Analysis/Rendering At a very high level, the control and data system will have two major subsystems: control subsystem, and a dedicated data acquisition and management subsystem. The control subsystem is similar to and will be an integral part of the LCLS controls system, and will be base don EPICS. There will be stronger interaction than before Between the LCLS and LUSI controls due to the fact that most experiments at LCLS will need to include beam parameters on a pulse-by-pulse basis. The high peak rate and large volume calls for a dedicated data acquisition and management system that will have standardized design and implementation across the board, and it will be integrated into the existing SLAC data farm and computer clusters for longer term storage and complex and computational intensive offline analysis. Page

21 Page

22 LCLS FEL Parameters *Courtesy of Z. Huang Page

23 LCLS Accelerator Schematics*
SLAC linac tunnel research yard Linac-0 L =6 m Linac-1 L 9 m rf  -25° Linac-2 L 330 m rf  -41° Linac-3 L 550 m rf  0° BC1 L 6 m R56 -39 mm BC2 L 22 m R56 -25 mm DL2 L =275 m R56  0 DL1 L 12 m R56 0 undulator L =130 m 6 MeV z  0.83 mm   0.05 % 135 MeV   0.10 % 250 MeV z  0.19 mm   1.6 % 4.30 GeV z  mm   0.71 % 13.6 GeV   0.01 % Linac-X L =0.6 m rf= -160 21-1 b,c,d ...existing linac L0-a,b rf gun 21-3b 24-6d X 25-1a 30-8c Commission in Jan. 2007 Commission in Jan. 2008 *Courtesy of P. Emma Page

24 Micro-bunching & SASE Process
Micro-bunched Shot-noise *Courtesy of Z. Huang Page

25 Temporal Characteristic
*Courtesy of Z. Huang DT = fs tc ~ 200 as M = DT/tc ~ For ideal e-beam of equal bunch length and same energy <DI/I> ~ 1/√M ~ 5% In reality <DI/I> ~ 1/√M ~ 30% attosecond Page

26 Magnetic Bunch Compression
DE/E z DE/E z ‘chirp’ DE/E z sz …or over-compression under-compression sz0 sE/E Dz = R56DE/E Path Length-Energy Dependent Beamline V = V0sin(wt) RF Accelerating Voltage Page

27 Timing Jitter SLAC linac tunnel research yard Commission in Jan. 2007
L =6 m Linac-1 L 9 m rf  -25° Linac-2 L 330 m rf  -41° Linac-3 L 550 m rf  0° BC1 L 6 m R56 -39 mm BC2 L 22 m R56 -25 mm DL2 L =275 m R56  0 DL1 L 12 m R56 0 undulator L =130 m 6 MeV z  0.83 mm   0.05 % 135 MeV   0.10 % 250 MeV z  0.19 mm   1.6 % 4.30 GeV z  mm   0.71 % 13.6 GeV   0.01 % Linac-X L =0.6 m rf= -160 21-1 b,c,d ...existing linac L0-a,b rf gun 21-3b 24-6d X 25-1a 30-8c Commission in Jan. 2007 Commission in Jan. 2008 *Courtesy of P. Emma Page

28 X-ray Diagnostics Suite
Fluctuation Type Diagnostic Device Pulse intensity fluctuation a) Pop-In Intensity Monitor b) In-Situ BPM/Intensity Monitor Position & pointing jitter c) Pop-In Position/Profile Monitor In-Situ BPM/Intensity Monitor - Pointing determination from multiple BMP’s Source point jitter  Focal point jitter w/ focusing optics d) Wave-front Sensor - Back-propagating from radius of curvature measurement X-ray pulse timing jitter e) Electro-Optic Sampling (EOS) Device - Relative timing btw e-bunch & ref. probe laser X-ray pulse width variation EOS Device - Establishes upper limit center wavelength variation LCLS e-energy calibration - X-ray wavelength cross-calibration is needed Page

29 Specifications Diagnostic Item Purposes Specifications* Pop-in
intensity monitor (moderate-resolution) Coarse beam alignment/monitoring; Destructive; Retractable; Dynamic range 104; Per-pulse operation at 120 Hz; Relative accuracy < 10-2 position/profile monitor Coarse beam alignment/monitoring At 50 mm resolution - 25x25 mm2 field of view; At 10 mm resolution - 5x5 mm2 field of view In-situ BPM/Intensity monitor (high-resolution) Per-pulse normalization of experimental signals; High-resolution beam position monitoring Transmissive (< 5% loss); Dynamic range 106; Relative accuracy < 10-3 Electro-optic sampling (EOS) device Measure relative timing between electron bunch (thus co-propagating x-ray pulse) and a probe optical laser pulse Non-intrusive to e-beam; Non-destructive; 20 fs resolution; Wave-front sensor Characterization of wave-front; Locating focal point of focused beam Destructive; 0.15 nm < l < 0.3 nm Technically more challenging Two types: Conventional/Straightforward, higher damage threshold from peak power loading and the more Challenging ones, technical specs tighter, much more difficult to make them to work * Must have high damage threshold Page

30 Data Processing Goals System Specifications for Data System
Data Acquisition and Management Data Analysis XPP, CXI, and XCS Instruments System Description  Gunther Haller’s breakout session My name is Yiping Feng, and I am also the physicist for the controls. Next I will presents our controls system in terms of: The scope, requirements, system description, the WBS, technical risks and mitigation, cost estimates, the schedule by functionalities. Page

31 Scope - XPP Instrument time resolved scattering
at < ps time resolution Page

32 Scope - CXI Instrument structures of single molecules
at near atomic resolution Pixelated detector (Cornell detector) Molecule injection Intelligent beam-stop (wave-front sensor) LCLS beam (focused, possibly compressed) Data Processing Serves two purposes: as an illustrated guide to the agenda, and as the plan of the experiments Each label here is a research program in its own right - and this is really the key to this whole workshop - defining the R&D challenges and coming up with a rough cost estimate of that research. potential particle orientation beam Readout & reconstruction Optical & x-ray diagnostics To mass spectrometer Page

33 Scope - PCS Instrument dynamics of disordered systems
at < ns time & near atomic resolutions Data Processing Speckle Pattern (Iron-Aluminum Alloy) Page

34 Diagnostics Control - Hartman Wavefront Sensor
Image obtained from Imagine Optics, Ltd Measurement made far from focal plane Single shot operation 120 Hz with CCD modification 1.5 nm and 0.15 nm operation with customization Page

35 Timing Control - Temporal Jitter
Master Clock Coax RF Distribution Network Electron Gun Accelerating Elements Experimental Pump Laser Sources of Short Term Jitter Coax RF distribution Network e-beam phase to RF phase End Station Laser phase to RF phase Limited to ~ 1 ps ! Page

36 Timing Control - Electro-optic Sampling
Stabilized Fiber Optic RF Distribution (10 fs) LBNL Electro-optic Sampling Laser Pump-probe Laser Gun Laser Sector 20 LTU NEH Temporal resolution is now limited by: Our ability to phase lock the lasers to the RF Intra-bunch SASE jitter Page

37 Timing Control - SPPS Laser/X-ray Timing
100 consecutive shots Single shot, Lorentzian fit Page

38 Real-time Processing – Binning in XPP
Page

39 Real-time processing – binning in XPP
For XPP experiments using 2D detector, Is it possible to perform real-time data analysis to reduce the data rate? 10 Hz Point Detector Page

40 Real-time Processing – sorting in CXI
Diffraction from a single molecule: noisy diffraction pattern of unknown orientation single LCLS pulse unknown orientation Combine 105 to 107 measurements into 3D dataset: Reconstruct by Oversampling phase retrieval Classify/sort Average Alignment Real-time? The highest achievable resolution is limited by the ability to group patterns of similar orientation Miao, Hodgson, Sayre, PNAS 98 (2001) Gösta Huldt, Abraham Szöke, Janos Hajdu (J.Struct Biol, ERD-047) Page

41 Computing hardware requirements
Real-time computing Power: 10 Tera-FLOPS 1000 processor cluster Memory: GByte RAM Bandwidth: 100 Gbit/s Integrated w/ detector or immediate downstream of detector output Data Storage/Management 10 – 100 Gbit/s links 10 – 100 on-line capacity: RAID disks, or flash memory 10 – 100 staging capacity: RAID disks, or flash memory 5 Petabyte yearly capacity ESNET connection for transferring to sister institutes Offline Analysis Total FLOPs: 1017 If analysis done in minutes: 2000 – processor cluster Large volume set rendering: 109 Page


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