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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Astronomical Data Simulations Cormac Reynolds DS2-T2 Team
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Overview Re-cap of the DS2-T2 goals Potted highlights from each of the WPs Simulations Framework and Collaboration
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Aperture Array and FPA Modelling, Plus a Configuration Study Abstracted model of telescope from Tile and Network Simulations Simulated Skies from a number of science groups (line, continuum, polarization) Produce simulated u,v data/images for scientific analysis Telescope based on aspects of SKA Reference Design – SKADS Benchmark Specification Simulated skies (DS2-T1)
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 AA and FPA Simulations Need to describe in simulations software Requires full “measurement equation” for phased arrrays –Pointing errors –Bandpass shape & stability [f( , )] –Sensitivity [f( , )] –Beam shape and stability [f( , )] –Polarization purity [f( , )] –ionosphere
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 AA Beam - Sundaram EMBRACE beam –HPBW ~ 16 arcmin depends on elevation Pointing error – linear rise and fall
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 PPP – Ultimate FoV Limit to Polarization Purity - Carozzi There is a limit to polarization purity as a function of look-direction elevation angle This limit is due to aberrations arising from u,v projection of low-elevation sources
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 FPAs & Beam forming - Boomsma + = By changing the (complex) weights for each element, one can optimise the beam pattern. For example: reducing sidelobes
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Attempt to maximise the Spatial Dynamic Range Spatial dynamic range (SDR) – the ratio between largest and smallest adequately imaged scales – it measures, effectively, brightness sensitivity of an array on all scales. SDR reflects a number of aspects of array design, including the type of primary receiving element (antenna), signal processing, and distribution of antennas/stations. Array configuration: SDR can be expressed as a function of a „gap“, Δu/u, between adjacent baselines (u 1,u 2 ): Δu/u = (u 2 – u 1 )/u 2 (u 2 > u 1 ) Uniform sensitivity is provided by Δu/u = const Configuration Studies -Lal
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Figures of Merit Shortest spacings, a few 10s of metres ~degree Longest spacings (5000 m ) ~arcseconds
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Preliminaries Observing direction, RA 00:00:00 Dec +90:00:00 A RUN of 12 hrs An arbitrary choice of source model Observing 1.4 GHz
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Generate test array (X,Y) for logarithmic (equiangular) spiral array configuration Project this array on Earth’s surface and determine (Lat, Lon, Z) Choose an appropriate input source model RUN glish scripts in aips ++ to obtain visibilities Import these visibilities into AIPS and perform the mapping using IMAGR task. Determine the “figures of merit” Methodology
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 The behaviour of figures of merit and hence the SDR does not seem to have a simple dependence on u/u. The uv-gap parameter can be used to relate the (u,v)- coverage to the characteristics of the map. These empirical solutions can be implemented into any proposed configuration. We plan to use the SDR FoM to quantify imaging performance of: KAT / MEERKAT, ASKAP, SKA – Phase I Limitations of CLEAN deconvolution algorithm Need new algorithms and parallelisation. Results
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Ionosphere - van Bemmel How to design SKA so that ionospheric corruptions are calibratable Determine the number and sensitivity of stations needed so that the free parameters related to the description of the beams and ionosphere can be determined with sufficient signal to noise that high dynamic range maps can be made
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Simulated source + calibration distortions using 74 MHz data
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Method – –Peeling produces phase corrections per array element for several viewing directions – –Fit an Ionosphere phase screen model to these phase corrections – –The model allows for interpolation of the phase corrections to other viewing directions – –We adopted the polyhedron method for imaging, calculating one phase correction per array element per time interval for each facet within the FOV. First conclusions Encouraging first results, with some improvement over the existing field-based calibration by Cotton et al. (2004) Performance of new method is very dependent on the choice of model functionsSolving
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 3 x 2.5 degree VLA-B 74 MHz field with field- based calibration applied Same field with new calibration method applied
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007Next Finalize work on solver –Investigate more base functions –Apply to longer baselines: GMRT (150 MHz) and VLA Use DS2-T1 model skies
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 DS2-T2 DS2-T1 Take sky model, corrupt, return to T1 for analysis –Sky simulations: galore! –Turning them into a Global Sky Model (GSM) Arbitrary parameterizations (e.g. trees) –Making corrupted data-sets –Recovering the sky again (calibration) Tricky...
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Various simulation efforts LOFAR –dipole and station beams (S. Yatawatta) –ionosphere (M. Mevius, J. Anderson) –Local Sky Model (LSM) (everybody...) WSRT (J. Noordam) SKADS –model skies (everybody...) –ionosphere (I. van Bemmel) –AA beams, pointing errors (S. Sundaram) –FPA beams (T. Willis, R. Boomsma) DIGESTIF (R. Boomsma, T. Oosterloo)
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 How to make things just fit together? TDL is a good basis for exchanging trees The ME provides a mathematical framework –someone makes a sky model –someone else makes a tree for computing Jones matrices –at least you know how to plug them together (mathematically) But we still have a software problem –different styles, different conventions
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Simulations Framework - Smirnov Configurable catalogue parser Z-Jones ionosphere E-Jones Beam G-Jones Gain... Ideal visibilities Differential/Corrupted Vis. (for calibration...) Alternate Z-Jones... Alternate Jones Alternate G-Jones Alternate E-Jones Note that order of Jones terms is significant... Array config and observation setup
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007 Simulations - Siamese
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007
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Cormac Reynolds 2 nd SKADS Workshop 10-11 October 2007
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