SOC simulation use cases Roland Vavrek (ESA) OU-SIM Meeting, Marseille, CPPM 13/01/2016 ESA UNCLASSIFIED – For Official Use
Scope Ø Top-level simulation use-cases required to support performance monitoring and development of SOC components : Simulation use cases typically required for system level • performance monitoring ; for SOC components development, testing and verification (QLA and Archive) ; and for supporting the SSO SWG simulation needs (position transients) Ø OU-SIM/SOC collaboration on usability of OU-SIM infrastructure for SOC use cases Installation, updates, MDB and parameterization, add-on • modules, alternative DP algorithms, alternative instrument model, debugging, database, feedback etc. SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 2 ESA UNCLASSIFIED – For Official Use
Top level SOC simulation use cases - 1 System level performance analysis and monitoring for verification of MRD level requirements following the Ø compliance verification approach outlined in the Mission Verification and Validation Plan (MVVP). Required for post- PDR performance analysis verification, supporting system performance analysis for CDR and for Science Performance Review. Requires L2 calibrated exposures in units of e/s/pix, sky scene shall be specific for simulation scenario. Verify BRJF allocations in mission-level performance budgeting flow-down, specifically, the MRD • science performance requirements justification applying as required sub-system level performance Verify the impact of as designed or evolving as measured module level performance knowledge on • system performance, identify CBE system performance and verify its roboustness against possible sub-system level performance variability Verify the impact of uncertainty in environment models on system performance (e.g. straylight • variability with IR sky model applied, detector performance with environment radiation model) Simulations profile: Ø Science scene Instrument Mission level HK fidelity Observations Data model Processing Processing simulators features scenario & representative- level and ext./ functions detector ness calibration data representative- selection completeness ness low High Medium low low+ low medium medium No Instrument Starting with No HK data from individual L2 (calibration Important up cosmological simulators shall time resolved required detectors to 4 data required to L2 signal required, be as complete attitude dithers with for L3 generation, but source content as possible simulation only. complete FPA. generation will at early stages and spatial Later thermal Spectroscopy be necessary at the extraction distribution behaviour performance later stages) of observables shall be specific simulations in require few sq. is a task for the to scenarios, terms of time- degrees Simulation high flexibility dependent consecutive Analysis SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 3 needed system PSF area coverage. Procedures modeling ESA UNCLASSIFIED – For Official Use required
Top level SOC simulation use cases - 2 QLA development, testing and verification requires simulated L1 science frames in raw (ADU) units and Ø external data and/or calibration files (FF, dark, bias, CCD diagnostics etc.). Data content shall be representative as much as possible for typical observation (calibration or science). Header structure and meta-data shall be representative. Verify data-flow through interfaces and through QLA processing steps on flight representative data- • sets (in terms of structure, ordering and conventions, data rate, meta data, HK) Optimize and test QLA common module diagnostics and specific diagnostic functions performance (in • terms of characterizing and trending nominal behaviour; finding and characterizing outliers and anomalies) Verify QLA diagnostics performance according to QLA success criteria • Simulations profile : Ø Science scene Instrument S/C fidelity and HK fidelity Observations Data model Processing Processing fidelity fidelity/ mission level scenario & representative- level and ext./ functions instrument features detector ness calibration data representative- modes selection completeness ness medium/high medium low+ medium low+ medium+ high low No Besides Starting with TBD if from 4 dithers QLA L1+external/cal N/A cosmological nominal attitude simulated HK is to reference development data (flat-field, signal required, instrument simulation only. required, or mission applies the dark, bias, CCD source flux and behaviour, at Later thermal hybrid scenario (24h common data diagnostics shape later stages, behaviour simulations operational day model etc.) distribution instr. anomalies simulations in where HK can TBD) shall be will be required terms of time- be taken from representative dependent WE avionics or (incl. saturating system PSF ILT level tests sources) modeling required SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 4 ESA UNCLASSIFIED – For Official Use
Top level SOC simulation use cases - 3 EAS/SAS development, testing and verification requires simulated L2 frames (individual exposures, as well as Ø resampled and co-added images) in calibrated units (e/s/pix or flux density per pixel). Header structure and meta- data shall be representative. Mainly for visualization and image analysis tools testing (EAS user interface, ESA Sky common x- • mission interface) Simulations profile : Ø Science scene Instrument S/C fidelity and HK fidelity Observations Data model Processing Processing fidelity fidelity/ mission level scenario & representative- level and ext./ functions instrument features detector ness calibration data representative- modes selection completeness ness low low low low high high medium low No N/A from 4 dithers L2 cosmological to reference signal required, mission TBD: source scenario and flux and shape large-area distribution (TBD) coverage shall be representative SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 5 ESA UNCLASSIFIED – For Official Use
Top level SOC simulation use cases - 4 Solar System Objects detectability studies require simulated L2 science frames (individual exposures, as Ø well as resampled and co-added images) in calibrated units (e/s/pix or flux density per pixel). Derive detection envelop of SSOs on the brightness-apparent motion parameter space for CBE • system performance Optimize SSO detection and characterization routines • SSO candidate detection pipeline could be connected to QLA (fast response needed for follow- • ups) Simulations profile : Ø Science scene Instrument S/C fidelity and HK fidelity Observations Data model Processing Processing fidelity fidelity/ mission level scenario & representative- level and ext./ functions instrument features detector ness calibration data representative- modes selection completeness ness low medium low+ low low+ medium+ high low No Starting with N/A from 4 dithers QLA L1+external/cal N/A cosmological attitude to few fields development data (flat-field, signal required, simulation only. applies the dark, bias, CCD source flux and Later thermal common data diagnostics shape behaviour model, SSO etc.) distribution simulations in pipeline may be shall be terms of time- based on QLA representative, dependent add SSO trails system PSF (with spatial modeling overdensity) required SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 6 ESA UNCLASSIFIED – For Official Use
Simulation process schematics Simulator SOC scenario Dedicated simulation code not functionality and plug-ins part of instrument simulators Simulation Scenario Definition (SSD) MISSION EXTERNAL DATA SIMULATOR OBSERVATION CONFIGURATION Out-of-field • CONFIGURATION CONFIGURATION MDB setup straylight maps • Simulation tasks • • input sky MDB Ground calibration • selection (oversampled data/models (shortcuts) intensity map or - As required Performance • source catalogue) - As designed updates • instrument mode(s) - As built • detector selection • pointing sequence Parameter translation layer Simulator configuration and parameter set applicable to scenario Instrument/spacecraft Plug-in alternative simulator components simulation tasks DB - Sim config. - Intermediate prod. L1 products Plug-in alternative - Output prod. processing algorithms L1 -> L2 processing Pipeline configurator SOC simulations use cases | Roland Vavrek | ESAC| 13/01/2016 | Slide 7 Simulation Analysis L2 products ESA UNCLASSIFIED – For Official Use Procedure (SAP)
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