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OVSA Expansion Software Overview

OVSA Expansion Software Overview. Gordon Hurford. Kickoff Meeting NJIT 25-Oct-2010. OVSA Expansion Software and Data Handling. 23-Oct-10. GH/JM+NJIT. OVSA-specific CASPER-based Miriad-based RHESSI-based. Monitor and Control. Operator. DSPU. Antennas, receivers, analog subsystems.

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OVSA Expansion Software Overview

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  1. OVSA ExpansionSoftware Overview Gordon Hurford Kickoff Meeting NJIT 25-Oct-2010

  2. OVSA Expansion Software and Data Handling 23-Oct-10 GH/JM+NJIT OVSA-specific CASPER-based Miriad-based RHESSI-based Monitor and Control Operator DSPU Antennas, receivers, analog subsystems NJIT Data Packaging Processor Interim Data Base Data selection, averaging, reformatting & calibration Burst identification Tohban Light curve, spectra display Archive Databases ~6 GB/day Light curve, spectra generation Map generation Map display Quick look & metadata products Hi-Level Analysis IDL Shell Browser Users

  3. OVSA Expansion Software and Data Handling 23-Oct-10 GH/JM+NJIT OVSA-specific CASPER-based Miriad-based RHESSI-based Monitor and Control Operator DSPU Antennas, receivers, analog subsystems NJIT Data Packaging Processor Interim Data Base Data selection, averaging, reformatting & calibration Burst identification Tohban Light curve, spectra display Archive Databases ~6 GB/day Light curve, spectra generation Map generation Map display Quick look & metadata products Hi-Level Analysis IDL Shell Browser Users

  4. DPP Time-Multiplex Architecture Correlator Parallel outputs on separate networks Correlator cycles addresses ~450 MB/s Frequency averaging RFI excision Frequency averaging RFI excision Digital Packaging Processor ~1 MB/s Time-independent calibration & Formatting + Scaleable + Decouples correlator & DPP design issues + Can trade hardware for code optimization ~1 MB/s Interim Database 40 GB/day

  5. OVSA Software Task Organization Advisory Committee DG Data Analysis Software GH Hardware-embedded SW NJIT Non-solar Analysis CIT Assisted by NJIT Array control & real time display NJIT Routine Calibration & Analysis GH Data Base Management JM DPP definition GH Housekeeping data NJIT Special calibration Analysis NJIT DPP implementation NJIT Miriad Scripting JM Stephen White Pipelined database creation JM IDL/Miriad shell JM QL / metadata JM User interface & displays JM Testing NJIT 11-Feb-2010

  6. Implementation Philosophy (1) • Implementation is VERY manpower-limited  Prioritization is vital • Maximize use of existing packages • Adaptation of RHESSI IDL-based user interface, display & database systems • Miriad analysis package

  7. Implementation Philosophy (2) • Highest priority goals: • To have documented software enabling external users to conveniently do some science with OVSA observations by Sept 30, 2013 • To have basic software tools in place to support hardware development

  8. Implementation Philosophy (3) • Highest priority goal: To have documented software enabling external users to conveniently do some science with OVSA observations by Sept 30, 2013 • Examples of lower priority goals: • Fine-scale RFI excision • Processing speed • Ability to analyze special cases or compromised events • Implementation of calibration refinements (e.g. polarization) • Integration of high-level analysis tools • Limited support for non-solar observations

  9. Interim Software Milestones (1) • Phase 1: 15 months - Dec 31, 2011 • Objective: Primitive end-to-end capability to support hardware development & enable demonstration science • Place-holder (pass-through) DPP • Offline processing into Miriad-compatible format • Testing with legacy data • Primitive data base to support test data • Miriad IDL shell – basic development • Some support for calibration analysis • Miriad scripts for calibration and mapping • Limited-feature interface using RHESSI GUI

  10. Interim Software Milestones (2) • Phase 2: 15 months - Mar 31, 2013 • Objective: Fairly complete but manually-oriented analysis package • DPP supports real-time data packaging and pre-calibration without RFI excision • Improved data base provisions • Improved calibration analysis, application and mapping software • Improved user interfacing. • Preliminary user documentation

  11. Interim Software Milestones (3) • Phase 3: 6 months - Sept 30, 2013 • Objective: Fully-featured with automated data processing & quick-look generation. • DPP support for RFI excision and flexible frequency averaging • Flare identification and application database generation • Scripts to generate quick look / catalog data. • Scripts to automate data management • Additional bells and whistles. • Basic support for non-solar observations • Improved user documentation..

  12. Next Steps • Consensus on overall approach to OVSA software • Consensus on calibration strategy • Coordination between: • Hardware and software development schedule / needs • NSF- and NASA-funded tasks • OVSA and FASR software • Early Definition of selected interfaces • Correlator  DPP • Offline calibration input  DPP • Housekeeping  DPP • Interim database format

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  14. DPP Architecture Options Correlator Correlator Correlator switched By polarization By baseline Frequency Averaging Frequency Averaging Frequency Averaging Frequency Averaging Frequency Averaging Frequency Averaging Baseline Processing Baseline Processing Baseline Processing • Not scaleable • Well suited to correlator processing? • Prevents polarization calibration by subchannel • + Scaleable • Couples correlator software and/or hardware to DPP speed • Discourages use of ‘canary’ antennas for RFI identification + Fully scaleable + Decouples correlator and DPP performance/design Need speed tests and correlator architecture input

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