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Contents
Contents
1. Synthesis calibration
1.1 Introduction
1.2 Calibration philosophy
1.2.1 The Measurement Equation
1.2.2 Data representation and the calibration mechanism
1.2.3 What are the current calibration capabilities in AIPS++?
1.3 Practical use of the calibrater tool
1.3.1 Setting up the calibrater tool
1.3.2 Initial calibrator models
1.3.3 Uv-data selection
1.3.4 Calibration table conventions
1.3.5 Solving for visibility-plane effects
1.3.6 Establishing the flux density scale
1.3.7 Correcting the observed data
1.3.8 Extending calibration to bandpass, polarization, etc.
1.3.9 Self-calibration
1.4 References
2. Imaging, Deconvolution and Self-calibration
2.1 Overview
2.2 What you'll need
2.3 Imaging and deconvolution
2.3.1 How to set up Imager
2.3.2 Weighting
2.3.3 Making a dirty image and point spread function
2.3.4 Deconvolution
2.3.5 Specifying the deconvolution region
2.4 Wizard interface to Imager
2.5 Component Models
2.6 Multi-scale CLEAN
2.6.1 General
2.6.2 The imagermultiscale() function
2.7 Wide-field imaging and Mosaicing
2.8 Combining single dish and interferometer images
2.9 Self-calibration
2.10 Summary of Imager functions
2.10.1 Setting/seeing the basic state
2.10.2 uv selection and filtering
2.10.3 Masking
2.10.4 Create images
2.10.5 Deconvolution
2.10.6 Image Combination
2.10.7 Utility
2.10.8 Calibration and self-calibration
2.11 Examples of Imaging Scripts
2.11.1 Multi-frequency synthesis image of one field
2.11.2 Multiple regions on the sky simultaneously
2.11.3 Spectral-line imaging
2.11.4 Using Clean and MEM
2.11.5 Deconvolver and multi-scale CLEAN example
2.11.6 Imaging and Self-Calibrating
3. Wide field imaging
3.1 Background
3.1.1 Possible solution to the wide-field imaging problem
3.2 dragon
3.2.1 Basic capabilities
3.2.2 Faceting size
3.2.3 Deconvolution
3.2.4 Self-calibration
3.2.5 Outlier fields
3.2.6 Models
3.3 Strategies for VLA 90cm and 4m
3.4 A worked example: VLA 4m imaging of Coma
3.5 Special cases
3.6 Troubleshooting
3.6.1 Insufficient faceting
3.6.2 Non-isoplanatism
3.6.3 Asymmetric primary beams
3.6.4 Clean diverging on the edges of the facets in dragon?
3.7 Bibliography
4. Mosaicing (Multi-field imaging)
4.1 Mosaicing Background
4.1.1 The AIPS++ Mosaicing Solution
4.1.2 Advantages of Incremental Deconvolution with an Approximate PSF
4.2 Mosaicwizard for Quick, Simple Mosaicing
4.3 Fundamental and Necessary Details
4.3.1 Set the Data Fields
4.3.2 Set the Image
4.3.3 Setting the Voltage Pattern (primary beam)
4.3.4 Weighting
4.3.5 Deconvolving
4.4 Advanced Details
4.4.1 Controlling the Major Cycles
4.4.2 Details with Multi-Scale CLEAN
4.4.3 The imagermultiscale() Function
4.4.4 Details with MEM
4.4.5 Using Convolutions Instead of Visibility Subtraction
4.4.6 Outlier Fields
4.4.7 Component Models
4.4.8 Flux Scale Images
4.4.9 Masks
4.5 Self-calibration
4.6 An Example Mosaicing Script
4.7 Bibliography
5. Single dish imaging in AIPS++
5.1 Introduction
5.2 Filling single dish data into AIPS++
5.3 Data examination and inspection
5.4 Basic gain calibration
5.5 Imaging
5.5.1 Basic imaging
5.6 Details of processing
5.7 Simulation
5.8 Conclusions
6. Single Dish Analysis
6.1 Introduction
6.2 Getting Data Into Dish
6.2.1 MeasurementSets
6.2.2 SDFITS data file
6.2.3 UniPOPS SDD data file
6.2.4 Dish demo data
6.3 The Dish Graphical User Interface
6.3.1 Results Manager
6.3.2 Menubar and Message Line
6.3.3 Browsing
6.3.4 Inspecting
6.3.5 Operations
6.4 Saving/Restoring State
6.5 The Dish Plotter
6.6 The Dish Command Line Interface
6.7 Recipes
6.7.1 Recipe 1: Reduce an ON/OFF Total Power scan
6.7.2 Recipe 2: Add a function to DISH (or fun with extensibility)
6.8 Development Plan
6.9 The sdrecord
6.10 sditerator
6.11 SDFITS
6.11.1 EXTNAME keyword
6.11.2 Virtual columns
6.11.3 The DATA column and the DATA axes
6.11.4 CORE keywords and columns
6.11.5 SHARED keywords and columns
6.11.6 Other columns
6.11.7 Multiple SDFITS tables in a single file
7. VLA reduction in AIPS++
7.1 Introduction
7.2 Basic initialization
7.3 Filling VLA data into AIPS++
7.3.1 Filling from VLA archive format
7.3.2 Filling from UVFITS format
7.4 Data examination and inspection
7.5 Data editing
7.5.1 Command-based editing
7.5.2 Interactive editing
7.5.3 Automated editing
7.6 Basic amplitude and phase calibration
7.6.1 Setting the calibration source model
7.6.2 Solving for complex gain
7.6.3 Establishing the flux density scale
7.6.4 Bandpass calibration
7.6.5 Correct the data
7.7 Imaging
7.8 Image examination and analysis
7.8.1 The image viewer
7.8.2 Image analysis
7.8.3 Instrumental Polarization Calibration
7.9 References
8. ATCA reduction in AIPS++
8.1 Introduction
8.2 MeasurementSets
8.3 Basic initialization
8.4 Filling ATCA data into an AIPS++ MeasurementSet
8.5 Data examination and inspection
8.6 Data editing
8.6.1 Command-based editing
8.6.2 Interactive editing
8.7 Basic amplitude and phase calibration
8.7.1 Setting the calibration source model
8.7.2 Solving for complex gain, bandpass and leakage
8.7.3 Correcting the gains for polarization of the calibrators
8.7.4 Establishing the flux density scale
8.8 Imaging
8.8.1 Correct the data
8.8.2 Basic imaging
8.9 References
8.10 Acknowledgements
9. GBT Spectral Line Reduction
9.1 Introduction
9.2 Filling GBT Data into AIPS++
9.3 Data Examination and Inspection
9.4 Data Calibration
9.4.1 System Temperature (tsys.g)
9.4.2 Antenna Temperature (tant.g)
9.4.3 Calibration (calout.g)
9.5 Basic Analysis
9.5.1 Averaging Spectra
9.5.2 Baselines
9.5.3 Gaussians
9.6 Conclusion
10. The AIPS/AIPS++ dictionary
10.1 Summary
10.2 AIPS task and verb index
10.3 References
11. The Miriad/AIPS++ dictionary
11.1 Summary
11.2 Miriad task index
11.3 References
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1. Synthesis calibration
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Getting Results with AIPS++
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Getting Results with AIPS++
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