Kirk Gilmore LSST Camera Scientist Stanford/SLAC/KIPAC

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Presentation transcript:

Kirk Gilmore LSST Camera Scientist Stanford/SLAC/KIPAC LSST Status Kirk Gilmore LSST Camera Scientist Stanford/SLAC/KIPAC

LSST Science Requirements focus on 4 Representative and Divergent Programs Dark Energy-Dark Matter Exploring our Solar System LSST enables multiple investigations into our understanding of the universe LSST will find 90% of hazardous NEOs down to 140 m in 10 yrs “Movie” of the Universe: time domain Mapping the Milky Way Discovering the transient and unknown on multiple time scales LSST will map the rich and complex structure of our Galaxy.

The LSST Project is a Complete System: Image, Analysis, Archive, Publish and Outreach Camera Telescope and Site Cerro Pachon La Serena Education and Public Outreach Data Management

Institutional Members LSSTC, September 08 Brookhaven National Laboratory California Institute of Technology Carnegie Mellon University Chile Columbia University Google Inc. Harvard-Smithsonian Center for Astrophysics Johns Hopkins University Kavli Institute for Particle Astrophysics and Cosmology at Stanford University Las Cumbres Observatory Global Telescope Network, Inc. Lawrence Livermore National Laboratory Los Alamos National Laboratory National Optical Astronomy Observatory Princeton University Purdue University Research Corporation Rutgers University Stanford Linear Accelerator Center The Pennsylvania State University The University of Arizona University of California, Davis University of California, Irvine University of Illinois at Urbana-Champaign University of Pennsylvania University of Pittsburgh University of Washington 4

The LSST Camera Team: 72 People from 16 Institutions Brandeis University J. Besinger, K. Hashemi Brookhaven National Lab S. Aronson, C. Buttehorn, J. Frank, J. Haggerty, I. Kotov, P. Kuczewski, M. May, P. O’Connor, S. Plate, V. Radeka, P. Takacs Florida State University Horst Wahl Harvard University N. Felt, J. Geary (CfA), J. Oliver, C. Stubbs IN2P3 - France R. Ansari, P. Antilogus, E. Aubourg, S. Bailey, A. Barrau, J. Bartlett, R. Flaminio, H. Lebbolo, M. Moniez, R. Pain, R. Sefri, C. de la Taille, V. Tocut, C. Vescovi Lawrence Livermore National Lab S. Asztalos, K. Baker, S. Olivier, D. Phillion, L. Seppala, W. Wistler Oak Ridge National Laboratory C. Britton, Paul Stankus Ohio State University K. Honscheid, R. Hughes, B. Winer Purdue University K. Ardnt, Gino Bolla, J, Peterson, Ian Shipsey Rochester Institute of Technology D. Figer Stanford Linear Accelerator Center - G. Bowden, P. Burchat (Stanford), D. Burke, M. Foss, K. Fouts, K. Gilmore, G. Guiffre, M. Huffer, S. Kahn (Stanford), E. Lee, S. Marshall, M. Nordby, M. Perl, A. Rasmussen, R. Schindler, L. Simms (Stanford), T. Weber University of California, Berkeley J.G. Jernigan University of California, Davis P. Gee, A. Tyson University of California, Santa Cruz T. Schalk University of Illinois, Urbana-Champaign J. Thaler University of Pennsylvania M. Newcomer, R. Van Berg

Camera Organizational Chart Camera Lead Scientist Kahn (SLAC) Camera Organizational Chart Camera Project Scientist Gilmore (SLAC) Camera Project Manager Fouts (SLAC) WBS 3.1 Project Control Price (SLAC) WBS 3.1 Systems Engineering Gilmore (act.) (SLAC) WBS 3.2 Observatory Integ., Test & Commission Support (SLAC) WBS 3.7 Performance, Safety and Environmental Assurance (SLAC) WBS 3.3 / 3.4 Camera Integration & Test Planning Nordby (SLAC) WBS 3.6 Electronics Oliver (Harvard) WBS 3.5.8 Optics Olivier (LLNL) WBS 3.5.5 Camera Body & Mechanisms Nordby (SLAC) WBS 3.5.3 Calibration Burke (SLAC) WBS 3.5.1 Sensor,Elect, Mech. Dev. Antilogus (IN2P3) LPNHE LAL APC Camera Utilities Nordby (SLAC) WBS 3.5.2 Sensor/Raft Development Radeka/O’Connor (BNL) WBS 3.5.4 Cryostat Assembly Schindler (SLAC) WBS 3.5.7 Camera Data Acq. & Control Schalk (UCSC) WBS 3.5.6 Corner Raft WFS/Guider Olivier (LLNL) WBS 3.5.9

LSST camera consists of the cryostat and body Back Flange Valve Box Filter Carousel Cryostat Filter Filter Auto Changer L1/L2 Assembly Utility Trunk Shutter

LSST will build on successes and resources available at SLAC for I&T GLAST - LAT Built at SLAC LSST Camera

A camera integration plan is complete Cryostat Utility Trunk Camera Body L1/L2 assy

Contamination test chamber at SLAC Other major efforts using SLAC resources FORE Main Chamber Camera Controls MAIN Working is proceeding on plans to deliver a prototype test stand by end of calendar year 2008 - Goal by PDR Contamination test chamber at SLAC Fore or Preparation Chamber cold finger

LSST Primary Mirror Blank, September 2008

LSST Data Management System 12 The DMS is a distributed system that leverages world-class facilities and cyber-infrastructure The CTIO Building (above) is located in La Serena Chile and houses SOAR and CTIO current computational and storage platforms. Architectural designs (T&S team) have been done to house the Base Facility on this compound as a separate building or as additions to the existing building, as well as a Chilean DAC. The NCSA Petascale Computing Facility (below) will complete construction in October, 2010 and will house the Tier 1 System 7 (1 PFLOPS) computer by 2011, and in 2014, the Archive Center. The San Diego Supercomputing Center (above left) is an example, it currently houses computers and large-scale storage platforms (above right) that could be expanded for a U.S. Data Access Center. We anticipate more DACs based on demand for data. Archive Center NCSA, Champaign, IL 100 to 250 TFLOPS, 75 PB Database & Pipeline Parallelization Fault Tolerance Data Access Centers U.S. (2) and Chile (1) 45 TFLOPS, 87 PB Data Access, Mining & Visualization Fault Tolerance Long-Haul Communications Chile - U.S. & w/in U.S. 2.5 Gbps avg, 10 Gbps peak High-speed transfer Fault Tolerance Mountain Summit/Base Facility Cerro Pachon, La Serena, Chile 10x10 Gbps fiber optics 25 TFLOPS, 150 TB Transient Alerts, Pipeline Parallelization Fault Tolerance 1 TFLOPS = 10^12 floating point operations/second 1 PB = 2^50 bytes or ~10^15 bytes 12

Dark Matter Simulations at KIPAC hard to measure directly, but we can simulate it... key feature of dark matter: it’s dark! doesn’t radiate simulation by A. Kravtsov

Full LSST end-to-end photon Simulation Sky->Atmosphere-> Optics->Detector 12 million objects, billions of raytraced photons Peterson, Meert, Nichols, Grace, Bankert (Purdue) Jernigan (Berkeley) Connolly (U Wash) Rasmussen (SLAC)

Ultra-large Data Management: LSST 100+ petabyte system Multi-dimensional data set Large user base ranging from professional astronomers to general public. Complex analytics SLAC is responsible for delivering the LSST database and data access system SciDB - a new open source data management system for data-intensive scientific analytics Design led by world-class database researchers Mike Stonebraker, David DeWitt SLAC's involvement Actively helped define SciDB Coordinates input from all sciences SLAC has a chance to make big positive impact on complex scientific analytics and beyond

The current LSST timeline FY-07 FY-08 FY-09 FY-10 FY-11 FY-12 FY-13 FY-14 FY-15 FY-16 FY-17 NSF D&D Funding MREFC Proposal Submission NSF CoDR MREFC Readiness NSF PDR NSB NSF CDR NSF MREFC Funding Telescope First Light NSF + Privately Supported Construction (8.5 years) System First Light Commissioning ORR Operations DOE Operating Funds Privately Supported camera R&D DOE MIE Funding DOE + Privately Supported Fabrication (5 years) DOE CD-4 Sensor Procurement Starts Camera Delivered to Chile DOE R&D Funding DOE CD-3 Camera Ready to Install DOE CD-2 DOE CD-1 DOE CD-0

Conclusions LSST Camera R&D progressing well toward NSF full LSST PDR, scheduled for early 2009. A contemporaneous DOE CD-1 would keep the project on track to enable first light in 2016. Significant growth in this program is envisioned beginning if FY10, with LSST replacing GLAST/Fermi as the major development effort in particle astrophysics and cosmology at SLAC.