Science Data Model v2
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1 Science Data Model v2 François Viallefond Observatoire de Paris - LERMA Steve Torchinsky Observatoire de Paris - USN François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
2 Science Data Model history from MS to SDMv2 Measurement Set (MSv2) Used offline with AIPS++ (now casacore) Evolved to become the ALMA SDM (ASDMv0) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
3 Science Data Model history from MS to SDMv2 Measurement Set (MSv2) Used offline with AIPS++ (now casacore) Evolved to become the ALMA SDM (ASDMv0) ASDMv1 Real time data capture ALMA and EVLA ~50 tables This is the current version used for ALMA & EVLA François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
4 Science Data Model v2 - Goals Generalised model for any radio telescope Single dish Aperture synthesis (eg. ALMA, EVLA, PdB,...) VLBI Aperture plane phased arrays (eg. EMBRACE) Focal Plane Arrays Feed clusters (eg. Parkes, Arecibo, Effelsberg,...) Phased array feeds (eg. ASKAP, APERTIF) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
5 Science Data Model v2 - Overview Enum Categorised enumerators PhysQuan (Physical Quantities) Collections of physical quantities (eg. Temperatures) and measures (eg. QDirections) Virtual Quantities (eg. Phase_Dir, Staircase for OTF) Values with uncertainties (eg. Position, Length) SDM Ensemble of Tables Relations within tables, and between tables Normalisation Allows queries in a database Set/subset based François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
6 Science Data Model v2 - components Meta data eg. definition of a configuration Auxilliary data eg. instrument diagnostics (temperatures, encoder values, etc) Data eg. visibilities, autocorrelations Objects and Types persist and remain accessible François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
7 Example: François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
8 antenna elements Hierarchical beam forming Organised into tilesets 20 tilesets Each tileset is 4 tiles of 72 elements each statistics include Cross correlations between tilesets (imaging) Lots of flexibility regarding bandpass, pointing, number of pointings François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
9 François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
10 Hierarchical beamforming 4 elements phased Together in the Beamformer microchip François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
11 Hierarchical beamforming 3 beamchips on a Hexboard (12 elements) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
12 Hierarchical beamforming 6 hexboards in a tile (72 elements) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
13 Hierarchical beamforming 4 tiles in a tileset (288 elements) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
14 EMBRACE Station Digital Processing Station Control Unit Source coordinates Source coordinates Interferers coordinates Calculate Tile array settings Subband frequency Array geometry Calculate Initial vector for Beam forming Calculate Projection Matrices for nulling Subband frequency Array geometry Tile array settings Detect Interferer Calculate Calibration Nulling of Interferers Correct for Calibration Local Control Unit LO1 beam A LO1 beam B LO2 Store Subband Store Store To be processed Output mode Time stamp N cells of combined tiles 2 RF beams Compute Subbands Statistics Compute Cross Correlations Compute Beams Statistics External Correlator Interface Antenna data From RCU 2N x 200 Ms/s 12 b. Separate Subbands Select Subbands Form Beams Output Beams Mark V recording Data recording Post processing François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
15 EMBRACE Station Digital Processing Station Control Unit Source coordinates Source coordinates Interferers coordinates Calculate Tile array settings Subband frequency Array geometry Calculate Initial vector for Beam forming Calculate Projection Matrices for nulling Subband frequency Array geometry Tile array settings Detect Interferer Calculate Calibration Nulling of Interferers Can this be written Local in the format of an Correct AIPS++ for Measurement Control Set? (Jan Calibration Noordam, 13 Nov. Unit 2008) LO1 beam A LO1 beam B LO2 Store Subband Store Store To be processed Output mode Time stamp N cells of combined tiles 2 RF beams Compute Subbands Statistics Compute Cross Correlations Compute Beams Statistics External Correlator Interface Antenna data From RCU 2N x 200 Ms/s 12 b. Separate Subbands Select Subbands Form Beams Output Beams Mark V recording Data recording Post processing François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
16 SDMv2 Main Features Can be easily pruned for a specific instrument Can be applied to any instrument of any complexity or simplicity eg. future radio telescopes: ASKAP, APERTIF, EMBRACE, ALMA, EVLA, VLBI, etc eg. for SKA: It will be composed of multiple technologies, but all can produce data in SDMv2 François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
17 Example of a Collection of Measures François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
18 François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
19 Examples of Table Dependencies François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
20 SDMv2 for EMBRACE 3 fundamental axes Time scan, subscan, integration, subintegration Spectral baseband, subband, spectral window Aperture Table station, tileset, tile, feed element (Vivaldi) Set of sections Key (one or ordered sequence of fields) Data description (meta data) Data (contains primary key, secondary key, etc) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
21 Example: The Feed Table Key Section Antenna Id Spectral Window Id The 3 fundamental axes Time interval Feed Id Data Description Section Number of receptors Data Section eg. Beam offset, Phased Feed Id, RF Beam Id, etc François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
22 Example: The Feed Table (converted to a Measurement Set) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
23 Feed Table with Phased Array François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
24 Phased Feed Table François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
25 3 levels SDMv2 - Implementation Meta model: generic parameters (XML Schema) Model: instance of the meta model (XML) Data set: instance of the model (XML + binaries) Code generation from the model (c++ template) c++ classes XML Schema (Type definitions) eg. Dataset<Sdm>, Dataset<Sdm,EMBRACE> Python interface François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
26 Model defined with valid XML François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
27 Example: Antenna table defined with valid XML François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
28 specialisation with usecases François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
29 Data Capture for EMBRACE François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
30 SDMv2 - viewer François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
31 SDMv2 Current Status SDMv1 in operation for ALMA & EVLA SDMv2 Implementation for EMBRACE nearly complete. Testing with in September François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
32 SDM Collaboration ALMA SDM Robert Lucas (ALMA) EMBRACE SDM Steve Torchinsky (Obs de Paris - Nançay) Frédéric Badia (Obs de Paris - Nançay) Jean-Michel Martin (Obs de Paris - GEPI) Henrik Olofsson (Onsala Space Observatory) Philippe Picard (Obs de Paris - Nançay) François Viallefond Science Data Model v2 CALIM2010, Dwingeloo, 24 Aug
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