Basic theory Some choices Example Closing remarks

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Presentation transcript:

Basic theory Some choices Example Closing remarks Self-Calibration Jim Ulvestad (Lecture 10, Synthesis Imaging II, p. 187; Cornwell & Fomalont) Basic theory Some choices Example Closing remarks J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Fundamental calibration equation Definitions J. Ulvestad, Synthesis Summer School, 19 June 2002

What’s Wrong with the Initial Calibration? The complex gains usually have been derived by means of observation of a calibration source before/after the target source Initial gain calibration is incorrect Gains were derived at a different time Troposphere and ionosphere are variable Electronics may be variable Gains were derived for a different direction Troposphere and ionosphere are not uniform Observation might have been scheduled poorly for the existing conditions J. Ulvestad, Synthesis Summer School, 19 June 2002

What is the Troposphere Really Doing? Clouds contain water vapor Index of refraction differs from “dry” air Variety of moving spatial structures J. Ulvestad, Synthesis Summer School, 19 June 2002

What is Self-Calibration? Self-calibration uses a model of the target source to solve for improved values for the complex gains of the individual antennas Advantages Gains are derived for correct time, not by interpolation Gains are derived for correct direction on celestial sphere Solution is fairly robust if there are many baselines Disadvantages Results depend on the assumed model. If the model is incorrect, it will be “built into” the derived gains, leading to incorrect visibilities and images J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 The gains are solved for in self-calibration by a least-squares solution that minimizes the difference between the model and observed visibilities Define Then J. Ulvestad, Synthesis Summer School, 19 June 2002

Iterative Self-Calibration Create an initial source model, typically from an initial image (or else a point source) Use model to convert observed visibilities into a “pseudo-point source” Find least-squares solution to complex gains Find corrected visibility Create a new model from the corrected data Go to (2), unless current model is satisfactory J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Choices-1 Initial model? Point source often works well Clean components from initial image Don’t go too deep! Simple model-fitting in (u,v) plane Self-calibrate phases or amplitudes? Usually phases first Phase errors cause anti-symmetric structures in images For VLA and VLBA, amplitude errors tend to be relatively unimportant at dynamic ranges < 1000 or so J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Choices-2 Which baselines? For a simple source, all baselines can be used For a complex source, with structure on various scales, start with a model that includes the most compact components, and use only the longer baselines What solution interval should be used? Generally speaking, use the shortest solution interval that gives “sufficient” signal/noise ratio (SNR) If solution interval is too long, data will lose coherence Solutions will not track the atmosphere optimally J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Choices-3 How weak a source can be self-calibrated? J. Ulvestad, Synthesis Summer School, 19 June 2002

You Can Self-Calibrate on Weak Sources! For the VLA at 8 GHz, the noise in 10 seconds for a single 50 MHz IF is about 13 mJy on 1 baseline Average 4 IFs (2 RR and 2 LL) for 60 seconds to decrease this by (4 * 60/10)1/2 to 2.7 mJy If you have a source of flux density about 5 mJy, you can get a very good self-cal solution if you set the SNR threshold to 1.5. For 5 min, 1.2 mJy gives SNR = 1 Caveat: Make sure there’s a detected source! J. Ulvestad, Synthesis Summer School, 19 June 2002

Example: VLA Snapshot, 8 GHz, B Array LINER galaxy NGC 5322 Data taken in October 1995 Poorly designed observation One calibrator in 15 minutes Can self-cal help? J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Initial NGC 5322 Imaging Cleaned Image Synthesized Beam J. Ulvestad, Synthesis Summer School, 19 June 2002

First Phase Self-Calibration Used 4 (merged) clean components in model 10-sec solutions, no averaging, SNR > 5 CALIB1: Found 3238 good solutions CALIB1: Failed on 2437 solutions CALIB1: 2473 solutions had insufficient data 30-sec solutions, no averaging, SNR > 5 CALIB1: Found 2554 good solutions CALIB1: Failed on 109 solutions CALIB1: 125 solutions had insufficient data 30-sec solutions, average all IFs, SNR > 2 CALIB1: Found 2788 good solutions J. Ulvestad, Synthesis Summer School, 19 June 2002

Phase Solutions from 1st Self-Cal Reference antenna has zero phase correction No absolute position info. Corrections up to 150° in 14 minutes Typical coherence time is a few minutes J. Ulvestad, Synthesis Summer School, 19 June 2002

Image after 1st Self-Calibration Original Image Self-Calibrated Image J. Ulvestad, Synthesis Summer School, 19 June 2002

Phase Solutions from 2nd Self-Cal Used 3 components Corrections are reduced to 40° in 14 minutes Observation now quasi-coherent Next: shorten solution interval to follow troposphere even better J. Ulvestad, Synthesis Summer School, 19 June 2002

Image after 2nd Self-Calibration Original Contour Level Deeper Contouring J. Ulvestad, Synthesis Summer School, 19 June 2002

Status after 2nd Self-Calibration Image noise is now 47 Jy/beam Theoretical noise in 10 minutes is 45 Jy/beam for natural weighting For 14 minutes, reduce by (1.4)1/2 to 38 Jy/beam For robust=0, increase by 1.19, back to 45 Jy/beam Image residuals look “noise-like” Expect little improvement from further self-calibration Dynamic range is 14.1/0.047 = 300 Amplitude errors typically come in at dynamic range ~ 1000 Concern: Source “jet” is in direction of sidelobes J. Ulvestad, Synthesis Summer School, 19 June 2002

Phase Solutions from 3rd Self-Cal 11-component model used 10-second solution intervals Corrections look noise-dominated Expect little improvement in resulting image J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Image Comparison 2nd Self-Calibration 3rd Self-Calibration J. Ulvestad, Synthesis Summer School, 19 June 2002

Is the Structure Believable? WSRT and VLA imaging by Feretti et al. 1984 Lesson: If in doubt, look for other evidence! J. Ulvestad, Synthesis Summer School, 19 June 2002

J. Ulvestad, Synthesis Summer School, 19 June 2002 Concluding Remarks Flag your data carefully before self-cal Be careful with the initial model Don’t go too deep into your clean components! If desperate, try a model from a different configuration or a different band Few antennas (VLBI) or poor (u,v) coverage often require many more iterations of self-cal Experiment with tradeoffs on solution interval Shorter intervals follow the atmosphere better Don’t be too afraid to accept low SNRs Check your results any way you can! J. Ulvestad, Synthesis Summer School, 19 June 2002

Lots of Topics Weren’t Covered Error recognition (Myers lecture, Chapter 15) Model-fitting (Pearson lecture, Chapter 16) Closure quantities and their conservation in self-calibration Amplitude self-calibration Initial calibration offsets can be important How do you know when your solution has gone wrong, or your model is corrupting your gains? Self-calibration is not a rigorous mathematical operation Experience, intuition, and being careful really count! J. Ulvestad, Synthesis Summer School, 19 June 2002