SlideShare une entreprise Scribd logo
1  sur  17
Future Opportunities and Challenges for
Synchrotron
X-ray Sources in the Earth Sciences
Mark Rivers
University of Chicago
GSECARS Overview
• GSECARS is a national user facility for synchrotron
radiation research in geochemistry, mineral physics, and
environmental science.
– Funding: NSF-EAR Instrumentation and Facilities Division
and DOE Geosciences.
– Techniques: high-pressure diffraction (diamond anvil cell
and multi-anvil press), XRF microprobe, microtomography,
surface scattering, x-ray spectroscopy, powder diffraction
– 3 undulator stations, 2 bending magnet stations; 4 stations
operate simultaneously
– Statistics for last 12 months: 466 unique users, 540 user
visits, 283 experiments, 355 beam time requests, 110
publications
Personal History of Computed
Microtomography

• 1987 at NSLS

– 1 hour to collect a single slice using first-generation CT
– 1 hour to reconstruct single slice

• 2013 at APS (routine)
– 10 minutes to collect 1040 slices
– 1 minute to reconstruct 1040 slices

• 104-106 improvements
– Brighter x-ray sources
– Detectors: 2-D with high sensitivity and rapid readout
– Computers for fast reconstruction
Complete
Reconstruction

Fly through in Z direction

Soil aggregate
6.5 um/pixel
28 keV
Sasha Kravchenko
Michigan State
Studying decay of
organic material
with time
Tomography and Computing
Infrastructure
• Where we do NOT need major CI improvements
–
–
–
–

Collection
Reconstruction
Local storage
All of these are “domain independent”

• Extracting scientifically useful information from images
has NOT kept up, we do need help
• Why?
– The information to be extracted is highly specific to the
problem (domain).
– Cottage industry that does not scale to today’s problems
Brighter X-ray Beams
• Figure of merit of a
storage ring like the APS,
NSLS-II, or ALS is the
emittance:
• σxσ’x (horizontal)
• σyσ’y (vertical)
• APS emittance today has 3
nm-rad emittance
• Brightness of the x-ray
beams is directly
proportional to the
emittance

APS electron beam profile
today
The Future
The “New” APS Upgrade
• BESAC recommended in July 2013
that the US agressively pursue
MBA lattice
• APS has made this new plan for
the already approved upgrade
• Reduce emittance to 60 pm-rad,
50X reduction
• Reduce energy from 7 to 6 GeV
• All new undulators
• 2019 time frame
• ~1 year shutdown

APS electron beam profile
after MBA upgrade
100X Higher Brightness
• 100X more photons in the same
focal spot size we use today
– 100X higher time resolution for
kinetic studies, deformation, etc.

• 100X smaller spot with the same
flux we have today
– Reduce focal spot size in diamond
anvil cell from 3 µm to 30 nm with
no loss in intensity

• Source is nearly diffraction limited
• 100X higher coherent flux
– Coherent x-ray diffraction, photon
correlation spectroscopy (speckle)
experiments have huge gains

XPCS study of deformation
Faster Detectors
Microtomography
•
•
•
•

PCO DIMAX HS
2277 frames/sec @ 2000x2000 pixels
5469 frames/sec @1440x1050 pixels
Complete microtomography dataset in 0.1
second
• 18GB/s peak, 600 MB/sec sustained

• Time-resolved tomography: melting,
deformation
Faster Detectors
Diffraction
•
•
•
•
•
•
•
•

Dectris Eiger
75 x 75 micron pixels
Single photon counting
Up to 1 MHz/pixel
1030 x 1065 pixels
3,000 frames/sec
3.3 GB/sec
Will stream lossless compressed images at full frame rate,
~600 MB/sec.
• Time-resolved diffraction for fast reactions
• Collect a full crystallography data set in 1 second
X-ray diffraction in the diamond anvil cell
Smaller beams, faster detectors

5 micron beam today

50 nm beam (ultra-high pressure,
much more complex)
Faster Detectors
X-ray fluorescence mapping
• Hitachi Quad Vortex silicon drift diode
detector
• XIA xMAP Digital Signal Processing
electronics
• 4 elements * 1000 pixels/sec = 4000
spectra/sec
• 16 MB/sec sustained
• 1 Mega pixel map in 20 minutes
• Next generation detector and electronics
reduces this to 5 minutes
GSECARS 13-ID-E X-ray Microprobe
XRF Imaging: high spatial resolution (500 nm) with high flux (>10 11 ph/s)

Fe (~70 ppm)
Mn (~70 ppm)
Zn (~100 ppm)

Arabidopsis seed Columbia-0

see Kim et
al., Science,
2009 for
background

7 µm
200 msec
X26A
NSLS

0.7 µm
13 msec
13-ID-E
APS

T. Punshon
and A.
Sivitz,
Dartmouth
XRF mapping challenges

•
•
•
•

Map on previous slide has 1 million spectra like this
Currently just map the total counts in each peak (region of interest)
Really need to fit background, deconvolve overlapping peaks
Not practical today
Conclusions
• Improvements in x-ray sources and detectors have the potential for
transformative improvements in our science in 5-10 years
– Improved spatial and temporal resolution
– New science by exploiting the coherence of the x-rays
• The problems that Martin Kunz presented yesterday will grow by
several orders of magnitude
• Clear need for major computing infrastructure improvements
– If not there will be mountains of unprocessed data
• These problems go beyond NSF-EAR.
– DOE has major responsibility as operator of the facilities
• However, in many cases we need “domain-specific” solutions because
our problems and our data are often unique

Contenu connexe

Tendances

NASA Advanced Computing Environment for Science & Engineering
NASA Advanced Computing Environment for Science & EngineeringNASA Advanced Computing Environment for Science & Engineering
NASA Advanced Computing Environment for Science & Engineering
inside-BigData.com
 
Reusable Software and Open Data To Optimize Agriculture
Reusable Software and Open Data To Optimize AgricultureReusable Software and Open Data To Optimize Agriculture
Reusable Software and Open Data To Optimize Agriculture
David LeBauer
 

Tendances (20)

Stanford/SLAC Cryo-EM Computing and Storage, Yee-Ting Li
Stanford/SLAC Cryo-EM Computing and Storage, Yee-Ting LiStanford/SLAC Cryo-EM Computing and Storage, Yee-Ting Li
Stanford/SLAC Cryo-EM Computing and Storage, Yee-Ting Li
 
AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...
AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...
AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...
 
Deep Learning in Deep Space
Deep Learning in Deep SpaceDeep Learning in Deep Space
Deep Learning in Deep Space
 
ADASS XXV: LSST DM - Building the Data System for the Era of Petascale Optica...
ADASS XXV: LSST DM - Building the Data System for the Era of Petascale Optica...ADASS XXV: LSST DM - Building the Data System for the Era of Petascale Optica...
ADASS XXV: LSST DM - Building the Data System for the Era of Petascale Optica...
 
GaiaCal2014: Creating and Calibrating LSST Data Product
GaiaCal2014: Creating and Calibrating LSST Data ProductGaiaCal2014: Creating and Calibrating LSST Data Product
GaiaCal2014: Creating and Calibrating LSST Data Product
 
Computational Tools for Multimessenger Astronomy in the Gravitational Wave Era
Computational Tools for Multimessenger Astronomy in the Gravitational Wave EraComputational Tools for Multimessenger Astronomy in the Gravitational Wave Era
Computational Tools for Multimessenger Astronomy in the Gravitational Wave Era
 
LSST/DM: Building a Next Generation Survey Data Processing System
LSST/DM: Building a Next Generation Survey Data Processing SystemLSST/DM: Building a Next Generation Survey Data Processing System
LSST/DM: Building a Next Generation Survey Data Processing System
 
Round Table Introduction: Analytics on 100 TB+ catalogs
Round Table Introduction: Analytics on 100 TB+ catalogsRound Table Introduction: Analytics on 100 TB+ catalogs
Round Table Introduction: Analytics on 100 TB+ catalogs
 
Applying Photonics to User Needs: The Application Challenge
Applying Photonics to User Needs: The Application ChallengeApplying Photonics to User Needs: The Application Challenge
Applying Photonics to User Needs: The Application Challenge
 
Big Data for Big Discoveries
Big Data for Big DiscoveriesBig Data for Big Discoveries
Big Data for Big Discoveries
 
CloudLightning at a Glance Infographic
CloudLightning at a Glance InfographicCloudLightning at a Glance Infographic
CloudLightning at a Glance Infographic
 
Cyberinfrastructure to Support Ocean Observatories
Cyberinfrastructure to Support Ocean ObservatoriesCyberinfrastructure to Support Ocean Observatories
Cyberinfrastructure to Support Ocean Observatories
 
Presentation
PresentationPresentation
Presentation
 
NASA Advanced Computing Environment for Science & Engineering
NASA Advanced Computing Environment for Science & EngineeringNASA Advanced Computing Environment for Science & Engineering
NASA Advanced Computing Environment for Science & Engineering
 
Creating High Performance Lambda Collaboratories
Creating High Performance Lambda CollaboratoriesCreating High Performance Lambda Collaboratories
Creating High Performance Lambda Collaboratories
 
How HPC and large-scale data analytics are transforming experimental science
How HPC and large-scale data analytics are transforming experimental scienceHow HPC and large-scale data analytics are transforming experimental science
How HPC and large-scale data analytics are transforming experimental science
 
LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...
LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...
LambdaGrids--Earth and Planetary Sciences Driving High Performance Networks a...
 
Accelerating Science with Cloud Technologies in the ABoVE Science Cloud
Accelerating Science with Cloud Technologies in the ABoVE Science CloudAccelerating Science with Cloud Technologies in the ABoVE Science Cloud
Accelerating Science with Cloud Technologies in the ABoVE Science Cloud
 
INC 2004: An Efficient Mechanism for Adaptive Resource Discovery in Grids
INC 2004: An Efficient Mechanism for Adaptive Resource Discovery in GridsINC 2004: An Efficient Mechanism for Adaptive Resource Discovery in Grids
INC 2004: An Efficient Mechanism for Adaptive Resource Discovery in Grids
 
Reusable Software and Open Data To Optimize Agriculture
Reusable Software and Open Data To Optimize AgricultureReusable Software and Open Data To Optimize Agriculture
Reusable Software and Open Data To Optimize Agriculture
 

En vedette

En vedette (6)

EarthCube Community Webinar 12.19.13: NSF EarthCube Funding Solicitation 13-529
EarthCube Community Webinar 12.19.13: NSF EarthCube Funding Solicitation 13-529EarthCube Community Webinar 12.19.13: NSF EarthCube Funding Solicitation 13-529
EarthCube Community Webinar 12.19.13: NSF EarthCube Funding Solicitation 13-529
 
EC Portfolio Workshop Introduction
EC Portfolio Workshop Introduction EC Portfolio Workshop Introduction
EC Portfolio Workshop Introduction
 
EarthCube Stakeholder Alignment Survey Introduction to the Data by Joel Cutch...
EarthCube Stakeholder Alignment Survey Introduction to the Data by Joel Cutch...EarthCube Stakeholder Alignment Survey Introduction to the Data by Joel Cutch...
EarthCube Stakeholder Alignment Survey Introduction to the Data by Joel Cutch...
 
Cyberscience, Software Engineering & Automated Workflows in Geoscience: Persp...
Cyberscience, Software Engineering & Automated Workflows in Geoscience: Persp...Cyberscience, Software Engineering & Automated Workflows in Geoscience: Persp...
Cyberscience, Software Engineering & Automated Workflows in Geoscience: Persp...
 
EarthCube Monthly Community Webinar- Nov. 22, 2013
EarthCube Monthly Community Webinar- Nov. 22, 2013EarthCube Monthly Community Webinar- Nov. 22, 2013
EarthCube Monthly Community Webinar- Nov. 22, 2013
 
Portfolio Assembly Workshop: Intro
Portfolio Assembly Workshop: IntroPortfolio Assembly Workshop: Intro
Portfolio Assembly Workshop: Intro
 

Similaire à Novel Techniques & Connections Between High-Pressure Mineral Physics, Microtomography, & Cyberinfrastructure by Mark Rivers, University of Chicago

New Directions in Structural Biology at Diamond
New Directions in Structural Biology at DiamondNew Directions in Structural Biology at Diamond
New Directions in Structural Biology at Diamond
warwick_amr
 
SPACE DEBRIS PALAT PARLAM no authors
SPACE DEBRIS PALAT PARLAM no authorsSPACE DEBRIS PALAT PARLAM no authors
SPACE DEBRIS PALAT PARLAM no authors
MARIUS EUGEN OPRAN
 
Generation of CT.pptx...................
Generation of CT.pptx...................Generation of CT.pptx...................
Generation of CT.pptx...................
justinfan550
 

Similaire à Novel Techniques & Connections Between High-Pressure Mineral Physics, Microtomography, & Cyberinfrastructure by Mark Rivers, University of Chicago (20)

Distributed Data Processing using Spark by Panos Labropoulos_and Sarod Yataw...
Distributed Data Processing using Spark by  Panos Labropoulos_and Sarod Yataw...Distributed Data Processing using Spark by  Panos Labropoulos_and Sarod Yataw...
Distributed Data Processing using Spark by Panos Labropoulos_and Sarod Yataw...
 
Final Presentation
Final PresentationFinal Presentation
Final Presentation
 
New Directions in Structural Biology at Diamond
New Directions in Structural Biology at DiamondNew Directions in Structural Biology at Diamond
New Directions in Structural Biology at Diamond
 
SPACE DEBRIS PALAT PARLAM no authors
SPACE DEBRIS PALAT PARLAM no authorsSPACE DEBRIS PALAT PARLAM no authors
SPACE DEBRIS PALAT PARLAM no authors
 
Parra - Ultrashort Pulse (USP) Laser -- Matter Interactions - Spring Review 2013
Parra - Ultrashort Pulse (USP) Laser -- Matter Interactions - Spring Review 2013Parra - Ultrashort Pulse (USP) Laser -- Matter Interactions - Spring Review 2013
Parra - Ultrashort Pulse (USP) Laser -- Matter Interactions - Spring Review 2013
 
A Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsA Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence Detectors
 
SPIE scanning microscopy
SPIE scanning microscopySPIE scanning microscopy
SPIE scanning microscopy
 
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
 
Physics_of_CT , CT machine and it’s parts, ct generations
Physics_of_CT , CT machine and it’s parts, ct generationsPhysics_of_CT , CT machine and it’s parts, ct generations
Physics_of_CT , CT machine and it’s parts, ct generations
 
X ray generation Radiology information by rahul ppt 2
X ray generation  Radiology information by rahul ppt 2X ray generation  Radiology information by rahul ppt 2
X ray generation Radiology information by rahul ppt 2
 
Biomedical applications of lasers (1)
Biomedical applications of lasers (1)Biomedical applications of lasers (1)
Biomedical applications of lasers (1)
 
Factors controlling the beam of x-ray
Factors controlling the beam of x-rayFactors controlling the beam of x-ray
Factors controlling the beam of x-ray
 
factors_affecting_xray_production.pdf
factors_affecting_xray_production.pdffactors_affecting_xray_production.pdf
factors_affecting_xray_production.pdf
 
Computed radiography
Computed radiographyComputed radiography
Computed radiography
 
CT Generation (Generation of CT)
CT Generation (Generation of CT)CT Generation (Generation of CT)
CT Generation (Generation of CT)
 
Laser Doppler Anemometry Dantec 199.PPT
Laser Doppler Anemometry Dantec  199.PPTLaser Doppler Anemometry Dantec  199.PPT
Laser Doppler Anemometry Dantec 199.PPT
 
CT Generations and Artefacts
CT Generations and ArtefactsCT Generations and Artefacts
CT Generations and Artefacts
 
Fundemendals of X Ray Difraction Spectroscopy
Fundemendals of X Ray Difraction SpectroscopyFundemendals of X Ray Difraction Spectroscopy
Fundemendals of X Ray Difraction Spectroscopy
 
XRF and its types
XRF and its typesXRF and its types
XRF and its types
 
Generation of CT.pptx...................
Generation of CT.pptx...................Generation of CT.pptx...................
Generation of CT.pptx...................
 

Plus de EarthCube

Peckham 2014 i_em_ss
Peckham 2014 i_em_ssPeckham 2014 i_em_ss
Peckham 2014 i_em_ss
EarthCube
 

Plus de EarthCube (20)

Community Webinar: Tune up for AGU
Community Webinar: Tune up for AGUCommunity Webinar: Tune up for AGU
Community Webinar: Tune up for AGU
 
Engagement Team monthly meeting 10.10.2014
Engagement Team monthly meeting 10.10.2014Engagement Team monthly meeting 10.10.2014
Engagement Team monthly meeting 10.10.2014
 
Sci Committee Meeting Slides 10.06.14
Sci Committee Meeting Slides 10.06.14Sci Committee Meeting Slides 10.06.14
Sci Committee Meeting Slides 10.06.14
 
Funded teams slides 10.10.14
Funded teams slides 10.10.14Funded teams slides 10.10.14
Funded teams slides 10.10.14
 
Technology and Architecture Committee meeting slides 10.06.14
Technology and Architecture Committee meeting slides 10.06.14Technology and Architecture Committee meeting slides 10.06.14
Technology and Architecture Committee meeting slides 10.06.14
 
EarthCube Governance Intro for Solar Terrestrial End-user Workshop
EarthCube Governance Intro for Solar Terrestrial End-user WorkshopEarthCube Governance Intro for Solar Terrestrial End-user Workshop
EarthCube Governance Intro for Solar Terrestrial End-user Workshop
 
EarthCube Community Webinar: Introduction to Committees and Teams
EarthCube Community Webinar: Introduction to Committees and TeamsEarthCube Community Webinar: Introduction to Committees and Teams
EarthCube Community Webinar: Introduction to Committees and Teams
 
AHM 2014: The CSDMS Standard Names, Cross-Domain Naming Conventions for Descr...
AHM 2014: The CSDMS Standard Names, Cross-Domain Naming Conventions for Descr...AHM 2014: The CSDMS Standard Names, Cross-Domain Naming Conventions for Descr...
AHM 2014: The CSDMS Standard Names, Cross-Domain Naming Conventions for Descr...
 
AHM 2014: PolarHub: A Global Hub for Geospatial Service Discovery
AHM 2014: PolarHub: A Global Hub for Geospatial Service DiscoveryAHM 2014: PolarHub: A Global Hub for Geospatial Service Discovery
AHM 2014: PolarHub: A Global Hub for Geospatial Service Discovery
 
AHM 2014: Addressing Data and Heterogeneity, Semantic Building Blocks & CI Pe...
AHM 2014: Addressing Data and Heterogeneity, Semantic Building Blocks & CI Pe...AHM 2014: Addressing Data and Heterogeneity, Semantic Building Blocks & CI Pe...
AHM 2014: Addressing Data and Heterogeneity, Semantic Building Blocks & CI Pe...
 
AHM 2014: Revisting Governance Model, Preparing for Next Steps
AHM 2014: Revisting Governance Model, Preparing for Next StepsAHM 2014: Revisting Governance Model, Preparing for Next Steps
AHM 2014: Revisting Governance Model, Preparing for Next Steps
 
AHM 2014: The World of VHub.org ONline Collaboration, Sharing, Data, Models...
AHM 2014: The World of VHub.org ONline Collaboration, Sharing, Data, Models...AHM 2014: The World of VHub.org ONline Collaboration, Sharing, Data, Models...
AHM 2014: The World of VHub.org ONline Collaboration, Sharing, Data, Models...
 
AHM 2014: Crawling for EarthCube
AHM 2014: Crawling for EarthCubeAHM 2014: Crawling for EarthCube
AHM 2014: Crawling for EarthCube
 
AHM 2014: The Flow Simulation Tools on VHub
AHM 2014: The Flow Simulation Tools on VHubAHM 2014: The Flow Simulation Tools on VHub
AHM 2014: The Flow Simulation Tools on VHub
 
AHM 2014: Integrated Data Management System for Critical Zone Observatories
AHM 2014: Integrated Data Management System for Critical Zone ObservatoriesAHM 2014: Integrated Data Management System for Critical Zone Observatories
AHM 2014: Integrated Data Management System for Critical Zone Observatories
 
Peckham 2014 i_em_ss
Peckham 2014 i_em_ssPeckham 2014 i_em_ss
Peckham 2014 i_em_ss
 
AHM 2014: BCube Brokering Framework
AHM 2014: BCube Brokering FrameworkAHM 2014: BCube Brokering Framework
AHM 2014: BCube Brokering Framework
 
AHM 2014: EarthCube Architecture Forum Introduction
AHM 2014: EarthCube Architecture Forum IntroductionAHM 2014: EarthCube Architecture Forum Introduction
AHM 2014: EarthCube Architecture Forum Introduction
 
AHM 2014: A Few Notes on GEOSS Architecture
AHM 2014: A Few Notes on GEOSS ArchitectureAHM 2014: A Few Notes on GEOSS Architecture
AHM 2014: A Few Notes on GEOSS Architecture
 
AHM 2014: The iPlant Collaborative, Community Cyberinfrastructure for Life Sc...
AHM 2014: The iPlant Collaborative, Community Cyberinfrastructure for Life Sc...AHM 2014: The iPlant Collaborative, Community Cyberinfrastructure for Life Sc...
AHM 2014: The iPlant Collaborative, Community Cyberinfrastructure for Life Sc...
 

Dernier

Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
UXDXConf
 

Dernier (20)

Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4j
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 

Novel Techniques & Connections Between High-Pressure Mineral Physics, Microtomography, & Cyberinfrastructure by Mark Rivers, University of Chicago

  • 1. Future Opportunities and Challenges for Synchrotron X-ray Sources in the Earth Sciences Mark Rivers University of Chicago
  • 2. GSECARS Overview • GSECARS is a national user facility for synchrotron radiation research in geochemistry, mineral physics, and environmental science. – Funding: NSF-EAR Instrumentation and Facilities Division and DOE Geosciences. – Techniques: high-pressure diffraction (diamond anvil cell and multi-anvil press), XRF microprobe, microtomography, surface scattering, x-ray spectroscopy, powder diffraction – 3 undulator stations, 2 bending magnet stations; 4 stations operate simultaneously – Statistics for last 12 months: 466 unique users, 540 user visits, 283 experiments, 355 beam time requests, 110 publications
  • 3. Personal History of Computed Microtomography • 1987 at NSLS – 1 hour to collect a single slice using first-generation CT – 1 hour to reconstruct single slice • 2013 at APS (routine) – 10 minutes to collect 1040 slices – 1 minute to reconstruct 1040 slices • 104-106 improvements – Brighter x-ray sources – Detectors: 2-D with high sensitivity and rapid readout – Computers for fast reconstruction
  • 4. Complete Reconstruction Fly through in Z direction Soil aggregate 6.5 um/pixel 28 keV Sasha Kravchenko Michigan State Studying decay of organic material with time
  • 5. Tomography and Computing Infrastructure • Where we do NOT need major CI improvements – – – – Collection Reconstruction Local storage All of these are “domain independent” • Extracting scientifically useful information from images has NOT kept up, we do need help • Why? – The information to be extracted is highly specific to the problem (domain). – Cottage industry that does not scale to today’s problems
  • 6. Brighter X-ray Beams • Figure of merit of a storage ring like the APS, NSLS-II, or ALS is the emittance: • σxσ’x (horizontal) • σyσ’y (vertical) • APS emittance today has 3 nm-rad emittance • Brightness of the x-ray beams is directly proportional to the emittance APS electron beam profile today
  • 7.
  • 8. The Future The “New” APS Upgrade • BESAC recommended in July 2013 that the US agressively pursue MBA lattice • APS has made this new plan for the already approved upgrade • Reduce emittance to 60 pm-rad, 50X reduction • Reduce energy from 7 to 6 GeV • All new undulators • 2019 time frame • ~1 year shutdown APS electron beam profile after MBA upgrade
  • 9.
  • 10. 100X Higher Brightness • 100X more photons in the same focal spot size we use today – 100X higher time resolution for kinetic studies, deformation, etc. • 100X smaller spot with the same flux we have today – Reduce focal spot size in diamond anvil cell from 3 µm to 30 nm with no loss in intensity • Source is nearly diffraction limited • 100X higher coherent flux – Coherent x-ray diffraction, photon correlation spectroscopy (speckle) experiments have huge gains XPCS study of deformation
  • 11. Faster Detectors Microtomography • • • • PCO DIMAX HS 2277 frames/sec @ 2000x2000 pixels 5469 frames/sec @1440x1050 pixels Complete microtomography dataset in 0.1 second • 18GB/s peak, 600 MB/sec sustained • Time-resolved tomography: melting, deformation
  • 12. Faster Detectors Diffraction • • • • • • • • Dectris Eiger 75 x 75 micron pixels Single photon counting Up to 1 MHz/pixel 1030 x 1065 pixels 3,000 frames/sec 3.3 GB/sec Will stream lossless compressed images at full frame rate, ~600 MB/sec. • Time-resolved diffraction for fast reactions • Collect a full crystallography data set in 1 second
  • 13. X-ray diffraction in the diamond anvil cell Smaller beams, faster detectors 5 micron beam today 50 nm beam (ultra-high pressure, much more complex)
  • 14. Faster Detectors X-ray fluorescence mapping • Hitachi Quad Vortex silicon drift diode detector • XIA xMAP Digital Signal Processing electronics • 4 elements * 1000 pixels/sec = 4000 spectra/sec • 16 MB/sec sustained • 1 Mega pixel map in 20 minutes • Next generation detector and electronics reduces this to 5 minutes
  • 15. GSECARS 13-ID-E X-ray Microprobe XRF Imaging: high spatial resolution (500 nm) with high flux (>10 11 ph/s) Fe (~70 ppm) Mn (~70 ppm) Zn (~100 ppm) Arabidopsis seed Columbia-0 see Kim et al., Science, 2009 for background 7 µm 200 msec X26A NSLS 0.7 µm 13 msec 13-ID-E APS T. Punshon and A. Sivitz, Dartmouth
  • 16. XRF mapping challenges • • • • Map on previous slide has 1 million spectra like this Currently just map the total counts in each peak (region of interest) Really need to fit background, deconvolve overlapping peaks Not practical today
  • 17. Conclusions • Improvements in x-ray sources and detectors have the potential for transformative improvements in our science in 5-10 years – Improved spatial and temporal resolution – New science by exploiting the coherence of the x-rays • The problems that Martin Kunz presented yesterday will grow by several orders of magnitude • Clear need for major computing infrastructure improvements – If not there will be mountains of unprocessed data • These problems go beyond NSF-EAR. – DOE has major responsibility as operator of the facilities • However, in many cases we need “domain-specific” solutions because our problems and our data are often unique