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30 September 2004PRIMA AOS CDR1 Data reduction library I. requirements Eric Bakker I. Requirements II. Design (Jeroen) III. Implementation (Jeroen) IV.

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Presentation on theme: "30 September 2004PRIMA AOS CDR1 Data reduction library I. requirements Eric Bakker I. Requirements II. Design (Jeroen) III. Implementation (Jeroen) IV."— Presentation transcript:

1 30 September 2004PRIMA AOS CDR1 Data reduction library I. requirements Eric Bakker I. Requirements II. Design (Jeroen) III. Implementation (Jeroen) IV Operations

2 30 September 2004PRIMA AOS CDR2

3 30 September 2004PRIMA AOS CDR3 Categories 1.Scientific performance 2.Technical performance 3.User interfaces 4.Data flow interfaces 5.Quality control 6.Simulations 7.Trend analysis 8.Calibration 9.Software design 10.Software implementation

4 30 September 2004PRIMA AOS CDR4 Category 1/10 Scientific performance 10 micro-arcsecond calibrated data Verification of performance –sets of visual binaries –simulated data sets

5 30 September 2004PRIMA AOS CDR5 Category 2/10 Technical performance Processing time –Pipeline solution< 5 minutes (for 1 OB) –Nightly solution< 8 hours (full night of data) –Global solution< 5 days (for full data-set) Installation –self-contained, auto install –IDAF versus pipeline Documentation –Central WW-site on-line access –incode extensive description by developers Error handling

6 30 September 2004PRIMA AOS CDR6 Category 3/10 User interfaces Flexibility Settting constraints –insert spectrum –Doppler orbit etc. if available Anomaly handling –software limits on variables

7 30 September 2004PRIMA AOS CDR7 Category 4/10 Data flow interfaces Data flow in to the DRS/pipeline –ESO PRIMA OS product Data flow within the DRS/pipeline –calibration engine, format TBD Data flow out of the DRS/pipeline –IAU standard astrometric FITS

8 30 September 2004PRIMA AOS CDR8 Category 5/10 Quality control Quality control (both IDAF as pipeline) on the subsystem performance should be quantified –STS, MET, FSU, DDL Quality control on the data reduction chain –Long-term stability, repeatability Quality control on the observing efficiency –TBD

9 30 September 2004PRIMA AOS CDR9 Category 6/10 Simulations Sets of simulated data should be produced –3 sets These sets can be feed back to the DRS Each module should have a simulation mode

10 30 September 2004PRIMA AOS CDR10 Category 7/10 Trend analysis Determination of parallax Determination of proper motion Extensive (manual) trending of parameter A versus B, and other non-linear combinations.

11 30 September 2004PRIMA AOS CDR11 Category 8/10 Calibration analysis IDAF uniformly calibrates data over the period of the program Pipeline uses the calibration parameters of the IDAF (the calibration engine concept) Correct for dispersion effects Correct for polarization effects Correct for elevation effects Correct for the color of the star

12 30 September 2004PRIMA AOS CDR12 Category 9/10 Software design Allow evolution of DRS

13 30 September 2004PRIMA AOS CDR13 Category 9/10 Software implementation Version control Weekly builds Comply with ESO standards If no ESO standards available, define standards to be proposed to ESO

14 30 September 2004PRIMA AOS CDR14 Closing words Requirements do not provide new insights Requirements aim to define the deliverable Sabine will continue this work Next steps –Try to quantify the requirements


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