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Evaluation and Development of Algorithms and Techniques for Streaming Detector Readout Electron-Ion Collider Project Computing vision for the Electron-Ion Collider The role of streaming readout systems R&D for streaming readout


  1. Evaluation and Development of Algorithms and Techniques for Streaming Detector Readout Electron-Ion Collider Project Computing vision for the Electron-Ion Collider The role of streaming readout systems • R&D for streaming readout hardware and • software Markus Diefenthaler

  2. The dynamical nature of nuclear matter Nuclear Matter Interactions and structures are Observed properties such as mass and spin inextricably mixed up emerge out of the complex system DOI 10.1103/PhysRevC.68.015203 Ultimate goal Understand how matter at its most To reach goal precisely image quarks and gluons fundamental level is made and their interactions CPAD 2018, December 10 2

  3. Future nuclear physics facility The Electron-Ion Collider Project CPAD 2018, December 10 3

  4. Why an Electron-Ion Collider? • Right tool : EIC: The Next QCD Frontier • to precisely image quarks and gluons and their interactions • to explore the new QCD frontier of strong color fields in nuclei • to to understand how matter at its most fundamental level is made . • Understanding of nuclear matter is transformational : • perhaps in an even more dramatic way than how the understanding of the atomic and molecular structure of matter led to new frontiers, new sciences and new technologies. Eur.Phys.J. A52 (2016) no.9, 268 CPAD 2018, December 10 4

  5. The Electron-Ion Collider (EIC) Measurements with A ≥ 56 (Fe): eA/μA DIS (E-139, E-665, EMC, NMC) ν A DIS (CCFR, CDHSW, CHORUS, NuTeV) DY (E772, E866) Frontier accelerator facility in the U.S. ≤ ≤ ≤ ≤ √ World’s first collider of √ • polarized electrons and polarized protons/light ions (d, 3 He) • electrons and nuclei Versatile range of • beam energies • beam polarizations • beam species (p → U) High luminosity CPAD 2018, December 10 5

  6. EIC: Ideal facility for studying QCD include non-perturbative, perturbative, and transition regimes Various beam energy broad Q 2 range for studying evolution to Q 2 of ~1000 GeV 2 • • disentangling non-perturbative and perturbative regimes overlap with existing m easurements • overlap with existing experiments High luminosity high precision • for various measurements • in various configurations CPAD 2018, December 10 6

  7. EIC: ideal facility for studying QCD Polarization Understanding hadron structure cannot be done without understanding spin: polarized electrons and • polarized protons/light ions • Transverse and longitudinal polarization of light ions (p, d, 3 He) • 3D imaging in space and momentum • spin-orbit correlations CPAD 2018, December 10 7

  8. Measurements with A ≥ 56 (Fe): eA/μA DIS (E-139, E-665, EMC, NMC) ν A DIS (CCFR, CDHSW, CHORUS, NuTeV) DY (E772, E866) ≤ ≤ ≤ ≤ √ √ EIC science program ge i ep Study structure and 10 3 Current polarized DIS data: CERN DESY JLab SLAC dynamics of nuclear Current polarized BNL-RHIC pp data: Q 2 (GeV 2 ) matter in ep and eA PHENIX π 0 STAR 1-jet collisions with high 10 2 EIC √ s= 140 GeV, 0.01 ≤ y ≤ 0.95 EIC √ s= 45 GeV, 0.01 ≤ y ≤ 0.95 luminosity and versatile range of beam energies, beam 10 polarizations, and beam species. 1 10 -4 10 -3 10 -2 10 -1 eA 1 x 3 Measurements with A ≥ 56 (Fe): 10 eA/μA DIS (E-139, E-665, EMC, NMC) 212.1701 10 ν A DIS (CCFR, CDHSW, CHORUS, NuTeV) DY (E772, E866) 2 10 Q 2 (GeV 2 ) EIC √ s = 90 GeV, 0.01 ≤ y ≤ 0.95 Q 2 (GeV 2 ) EIC √ s = 45 GeV, 0.01 ≤ y ≤ 0.95 10 10 perturbative 1 10 non-perturbative 0.1 -4 -3 -2 -1 10 10 10 10 1 x x CPAD 2018, December 10 8

  9. Realization of the science case Brookhaven Lab Long Island, NY JLEIC CEBAF Jefferson Lab Newport News, VA CPAD 2018, December 10 9

  10. EIC realization imagined July 2018 NAS report “In summary, the committee finds a compelling scientific case for such a facility. The science questions that an EIC will answer are central to completing an understanding of atoms as well as being integral to the agenda of nuclear physics today. In addition, the development of an EIC would advance accelerator science and technology in nuclear science; it would as well benefit other fields of accelerator based science and society, from medicine through materials science to elementary particle physics.” Late 2018 CD-0 (US Mission Need statement) 2019 critical EIC accelerator R&D questions could be answered 2019 - 2020 site selection 2020 EIC construction has to start after FRIB completion 2021 - 2023 construction starts 2025 – 2030 EIC completion CPAD 2018, December 10 10

  11. EIC User Group EIC User Group (http://www.eicug.org) Currently 835 members from 177 institutions from 30 countries . Physicists around the world are thinking about and are defining the EIC science program . CPAD 2018, December 10 11

  12. EIC Software Consortium Computing Vision CPAD 2018, December 10 12

  13. EIC Software Consortium (part of EIC Generic Detector R&D) ESC members ANL, BNL, JLAB, LUND, SLAC, INFN, Trieste, W&M ESC goals and focus • continue work on common interfaces (e.g., geometry, file formats, tracking) • explore new avenues of software development (e.g., artificial intelligence) • reach out to the EIC community • communicate present status of EIC software • bring existing EIC software to the end users • produce publicly available consensus-based documents on critical subjects • provide vision for the future CPAD 2018, December 10 13

  14. Estimated rates at the EIC Dominant cross-section contribution Signal and background rates at the EIC L = 10 34 cm -2 s -1 = 10 kHz/ μb Cross section (mb) EIC γ d total -1 Photoproduction background estimator 10 γ p total cross-section ~ 100 μb interaction rate ~ 1 MHz -2 10 signal ep (E e = 10 GeV, E p = 100 GeV) γγ total -3 cross-section ~ 45 μb 10 interaction rate ~ 450 kHz √ s GeV -4 10 2 1 10 10 γ p LHC ~69 mb at √s=7 TeV RHIC ~42 mb at √s=200 GeV data size / event ~ 100kb data size / s ~ 100Gbit Data size CPAD 2018, December 10 14

  15. The purpose of computing is insight, not numbers. Richard Hamming (1962) CPAD 2018, December 10 15

  16. Future Trends in Nuclear Physics Computing Donald Geesaman (ANL, former NSAC Chair) “ It will be joint progress of theory and experiment that moves us forward, not in one side alone” Martin Savage (INT) “The next decade will be looked back upon as a truly astonishing period in NP and in our understanding of fundamental aspects of nature. This will be made possible by advances in scientific computing and in how the NP community organizes and collaborates, and how DOE and NSF supports this, to take full advantage of these advances.” CPAD 2018, December 10 16

  17. Implications of Exascale Computing Past efforts in lattice QCD in collaboration with industry have driven development of new computing paradigms that benefit large scale computation. These capabilities underpin many important scientific challenges, e.g. studying climate and heat transport over the Earth. The EIC will be the facility in the era of high precision QCD and the first NP facility in the era of Exascale Computing . This will affect the interplay of experiment, simulations, and theory profoundly and result in a new computing paradigm that can be applied to other fields of science and industry. Petascale-capable systems at the beamline unprecedented compute-detector integration , extending work at LHCb • requires fundamentally new and different algorithms • computing model with AI / ML at the trigger level and a compute-detector • integration to deliver analysis-ready data from the DAQ system : responsive calibrations in real time • real-time event reconstruction • physics analysis in real time • A similar approach would allow accelerator operations to use real-time simulations and AI / ML over operational parameters to tune the machine for performance. CPAD 2018, December 10 17

  18. Towards the next generation research model in Nuclear Physics NP research model not changed for over 30 years Science & Industry remarkable advances in computing & microelectronics goal evolve & develop NP research model based on these advances rethink how measurements are compared to theory • examine capabilities of event level analysis ( ELA ) taking the multi- dimensional challenges of NP fully into account how experimental data are handled • identify ways to speed up analysis in the context of ELA how we read out detectors and assemble detector data • investigate capabilities of streaming readout in view of ELA CPAD 2018, December 10 18

  19. Streaming readout Detectors Readout Analysis data Streaming readout Traditional triggered readout • data is digitized into buffers and a trigger, • data is read continuously from all channels per event, starts readout • data then flows unimpeded in parallel • parts of events are transported through the channels to storage or a local compute DAQ to an event builder where they are resource assembled into events • event selection based on full detector • event selection based on fast detectors information with coarse resolution intended for future NP experiments default at NP experiments CPAD 2018, December 10 19

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