1 / 34

Synthesis Imaging Workshop

Synthesis Imaging Workshop. Error recognition R. D. Ekers Narrabri, 20 Sep 2006. Summary. Follows Chapter 10 “Error Recognition” in NRAO Synthesis Workshop closely Educational Use of basic concepts and analogies Fourier transform practice Practical information for diagnosing errors

alejandrow
Download Presentation

Synthesis Imaging Workshop

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Synthesis Imaging Workshop Error recognition R. D. Ekers Narrabri, 20 Sep 2006

  2. Summary • Follows Chapter 10 “Error Recognition” in NRAO Synthesis Workshop closely • Educational • Use of basic concepts and analogies • Fourier transform practice • Practical information for diagnosing errors • Diagnostic tools • Making discoveries R. Ekers

  3. Larson cartoon

  4. Cygnus A • Raw data VLA continuum • Deconvolution Uses non-linear algorithms to correcting for errors due to missing information in the Fourier domain • Self Calibration Uses the corrupted image of the object to remove antenna based gain errors

  5. Image or Aperture Plane? • Most errors occur in the measurements (aperture plane) but effect the science in the image plane • Errors obey Fourier transform relations: • narrow features transform to wide features (and visa versa) • symmetries important - real/imag, odd/even, point/line/ring • Some errors more obvious in particular domain • switch between image and uv planes • The transform of a serious error may not be serious! • effects are diluted by the number of other samples

  6. Bad Scan - Visibilities: Unflagged: Flagged: Only two scans on 1/15 baselines affected. Paul Rayner 2001

  7. Bad Scan - Images: Unflagged: Flagged: Paul Rayner 2001

  8. Bad Gain - Visibilities: 2.5% Gain error one ant: Properly Calibrated: Gain error affects all visibilities on 5/15 baselines Paul Rayner 2001

  9. Bad Gain - Visibilities: 2.5% Gain error: Properly Calibrated: Paul Rayner 2001

  10. The 2D Fourier Transform • x,y (radians) in tangent plane relative to phase center • spatial frequency u,v (wavelengths) • adopt the sign convention of Bracewell: S.T. Myers - 8th Synthesis Summer School 20 June 2002

  11. shift in one domain is a phase gradient in the other multiplication in one domain is convolution in the other The Fourier Theorems S.T. Myers - 8th Synthesis Summer School 20 June 2002

  12. Fourier Symmetries • symmetries determined by Fourier kernel • real sky brightness  Hermitian uv plane • complex conjugate of visibility used for inverse baseline • exp( iφ ) = cos φ + i sin φ • Real & Even  Real & Even • Real & Odd  Imag & Odd Symmetric image errors are often due to amplitude errors image errors with odd symmetry or asymmetric often due to phase errors R.Ekers

  13. Error Diagnosis • amplitude or phase errors: • phase errors usually asymmetric or odd symmetry • amplitude errors usually symmetric (even) • short duration errors: • localized in uv plane distributed in image plane • narrow  extended orthogonal direction in image • long timescale errors: • ridge in uv plane  corrugations in image • ring in uv plane  concentric “Bessel” rings in image S.T. Myers - 8th Synthesis Summer School 20 June 2002

  14. Example Gain Error - 2 10 deg phase error 20% amp error anti-symmetric ridges symmetric ridges Adapted from Myers 2002

  15. Example Gain Error - 3 10 deg phase error 1 ant all times rms 2.0 mJy 20% amp error 1 ant all times rms 2.3 mJy rings – odd symmetry rings – even symmetry S.T. Myers - 8th Synthesis Summer School 20 June 2002

  16. Additive • some errors add to visibilities • additive in conjugate plane • examples: noise, confusion, interference, dc offsets, cross-talk, variable source, source outside field (eg sun) Adapted from Myers 2002

  17. DC offset:Additive error - Image plane Paul Rayner 2001

  18. DC offset:Additive error - aperture plane Paul Rayner 2001

  19. DC offset:Additive error - Image plane Paul Rayner 2001

  20. Multiplicative • others multiply or convolve visibilities • multiplication  convolution in conjugate planes • examples - multiplicitive: sampling, gain errors, atmosphere, missing spacings • Examples - convolution: primary beam, gridding S.T. Myers - 8th Synthesis Summer School 20 June 2002

  21. Image errors caused by rotation of the primary beam (alt-az telescope) • Gain error in UV plane • Convolution in image plane • Stokes Q image showing effect of off-axis instrumental polarization • HII region in direction of the HESS gamma ray source Robert Reinfrank

  22. CLEAN Errors in the Image: Paul Rayner 2001

  23. CLEAN errors in UV-plane: Paul Rayner 2001

  24. Effect of missing short baselines No short baselines Paul Rayner 2001

  25. Radially Dependent Errors • not expressible as simple operations in image/uv plane • sometimes convertible to standard form via coordinate change • smearing effects • bandwidth: radial - like coadding images scaled by frequency • time-average: tangential – baselines rotated in uv plane • baseline, shadowing • pointing • dependent on source position in the field • polarization effects worse (e.g. beam squint) S.T. Myers - 8th Synthesis Summer School 20 June 2002

  26. Non-linear processing errors • 2 ATCA snapshots • Only 30 visibilities measured • Deconvolution interpolates 104 additional points • Selfcal adds 10 more degrees of freedom!

  27. Surprising non-linear effects • Polarization • Stokes parameters U and Q • Have gausian noise • Obey the convolution algorithm • But not very easy to interpret • P=  U2+Q2 • Noise biased and not gausian • Not a convolution of the sky with anything • Angular resolution can appear to be infinite! • P/I and θ are even worse

  28. Diagnostics • Good image display • Negativity • Complex numbers • Polarization • Low resolution image of large field • Source subtraction • Fourier transform • Statistics R Ekers

  29. IRAM-GIPSY image UV plane Bad point removed Stripes gone! Single bad point (& conjugate) Stripes in image

  30. IRAM-GIPSY

  31. DiscoveriesRadio emission from Cyg X2 • WSRT 21cm • Braes and Miley (1972) Variable source only present in 1 day of a 4 day synthesis

  32. DiscoveriesFlare in RS CVn system II Peg • WSRT 83cm

  33. Galactic Centre • VLA 6cm • Big picture missed by first observers

  34. Galactic Centre • VLA 6cm • Big picture missed by first observers • Too much resolution too small FOV

More Related