How To Use The Wynn Odi
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1 WIYN ODI: Observing Process, Data Analysis and Archiving Pierre Martin Yale Survey Workshop, October 2009
2 ODI: Scientific Challenges ODI is designed to take advantage of the best seeing conditions at WIYN. ODI is a general facility instrument; Scientific programs will go from one single exposure to largescale surveys and time-domain programs. Optimization of ODI scientific output requires high observing efficiency, sophisticated calibrations and long-term availability of the data products.
3 ODI: Operational Challenges ODI offers five different acquisition modes including the default mode (e.g. full OTA correction) which requires a large number (~200) of guide stars. ODI individual raw images are large (~ 2 Gbytes/ image) and the (calibrations + scientific) data volume will be considerable (up to ~ 4 Tbytes per night!). Data reduction will be complex, CPU intensive, and likely to evolve with time.
4 ODI: The Observing Process? WIYN is planning to eventually offer queue observing (The Plan: Start with the Yale Survey!) The many advantages of queue observing : Adapting to sky conditions Benefits highly ranked science Well-suited for very short and long-term programs Facilitates time-constrained programs Provides high observing efficiency Need photometry? You got it! Balancing time between partners Optimizes dark/gray/bright telescope time More complete and controlled calibrations Metadata add value to data
5 E.g. The CFHT Queued Service Observing (QSO) QSO: Three Steps Process Program Submission - Phase I (CADC) + TAC - Phase II (PH2) - Program Reviews and Prep Queue Preparation & Observations - Planning and Scheduling - Night Queues (4-5) - Observing Process - Calibration Plan Data Evaluation - Data Quality Assessment - Validation Cascade
6 WIYN ODI QUEUE: The Concept? WOQ Tools Phase 2 Tier (Web client?) WOQ Db Scheduler Data! Obs Tool LogBook
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8 The Daily Jigsaw Puzzle: Queuing!
9 The Daily Jigsaw Puzzle: Queuing!
10 The Daily Jigsaw Puzzle: Queuing!
11 The Daily Jigsaw Puzzle: Queuing!
12 Some CFHT QSO results : A Programs : Completion >> 90% B Programs : Completion > 75% Validation rate: 92-95% Agency time balance: (e.g. MegaCam 2006B semester) Caveat: Queue WORKS but it is not cheap...
13 ODI: Data Analysis and Archiving? WIYN is actively moving forward in developing a scientific data reduction pipeline and a long-term archiving solution for ODI Main Challenges: ODI data will be complex to analyze and calibrate ODI data volume will be very large (~150 TB/yr?) ODI science programs will explore the time-domain
14 What the P&A system should do... (Most of the Yale Survey reduction requirements are covered in the PASRD)
15 A process in several steps : Tier 0 Quick look analysis for observers and time-domain programs: basic analysis done on site on local machines. [Included in ODI Project] Tier 1 End-of-run, removal of instrument signatures and more advanced spectrometric and photometric calibrations on individual images. Updated master calibration products. Tier 2 Production of optimum science products: Image stacking, high-accuracy astrometric and photometric solutions, PSF re-sampling, cosmic ray removal, fringing correction, etc. Fine-tuning on image stacking and catalogs. Tier 3 Image manipulation (e.g. filtering, image arithmetic), display, photometry, etc.
16 A possibility: The WIYN/IU Model: Gateway Pan-STARRS IPP, adapted to ODI and Teragrid, Data Mining through Science Gateway
17 WIYN Actualities: Done: Pipeline and Archiving Science Requirements Document (PASRD) Now: UW and Yale committed to their share for funding the pipeline; waiting on Indiana. NOAO not committed yet. Now: Design work continues on the WIYN/IU model Now: Seeking WIYN ODI Pipeline Scientist Now: Discussions with NOAO/Alternate Model? Early 2010: Design review (+ management plan)
18 Conclusion ODI is going to be a very sophisticated camera, designed to provide large volume of complex data for diverse scientific endeavors Optimizing ODI Scientific Output : Priority 1: Scientific Pipeline & Archiving Priority 2: Queue/Service Observing Mode
19 Conclusion ODI is going to be a very sophisticated camera, designed to provide large volume of complex data for diverse scientific endeavors Optimizing ODI Scientific Output : Priority 1: Scientific Pipeline & Archiving Priority 2: Queue/Service Observing Mode WIYN is working on those!
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