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RHESSI Visibilities

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Title: RHESSI Visibilities


1
RHESSI Visibilities
Gordon Hurford, Ed Schmahl, Richard
Schwartz 1 April 2005
2
What are Visibilities?
  • A visibility is the calibrated measurement of a
    single Fourier component of the source.
  • Measured spatial frequency (arcsec-1)
  • Magnitude determined by the angular pitch of
    the grid.
  • Azimuth determined by the grid orientation at
    the time of measurement.
  • The measured visibility is a complex number
  • Has amplitude and phase OR x and y
    components

3
Properties of visibilities (1)
  • Represent an intermediate step between
    modulated light curves and images.
  • Represent an (almost) noise-free transformation
    of input imaging data, containing all the
    imaging info required for mapping
  • Fully calibrated.
  • No remaining instrument dependence (beyond
    spatial frequency coverage)

4
Properties of visibilities (2)
  • Statistical errors are well-determined, since
    they are a linear combination of the binned
    counts.
  • Redundancy provides indication of systematic
    errors.
  • Amplitudes for visibility azimuths differing
    by 180 deg should be same.
  • Phases for visibility azimuths differing by 180
    deg should be equal and opposite.
  • 3rd harmonic visibilties from grid n should
    match fundamental visibility from grid n-2.
  • Redundancy is independent of source.

5
Properties of visibilities (3)
  • Visibilities depend linearly on both the data and
    the source.gt Visibilities of a multicomponent
    source sum of visibilities of its components
    Very helpful in directly interpreting
    visibilities
    Facilitates a forward-fitting program
  • Visibility measurements can be linearly
    combined.
  • Can add or subtract energy bands
  • Can add or subtract data over time
  • Can weight data in energy and/or time.

6
How are visibilities measured ?
  • Visibility observations correspond to the
    modulation amplitude and phase
  • Can be measured from light curves directly
  • Problem of data gaps
  • Statistical issues
  • Normalization and sampling issues
  • Most easily determined from stacked data

7
Stacker Output as the Starting Point for
Measuring Visibilitesly
Subcollimator 5
Measure amplitude phase in each of 24 roll bins
8
Example of measured visibilities for
subcollimator 5
9
Polar plots of amplitude vs roll angle
Subcollimators 1 2 3 4 5
6 7 8 9 Aug 20, 2002 12-25 keV
10
How can visibilities be used? (1)
  • IMAGING
  • Provide a compact representation of input
    imaging data
  • Can provide starting point for imaging
    algorithms
  • Useful for iterative processing
  • Ease statistical and chi2 issues
  • Background is automatically removed.
  • Can be used with any radio astronomy imaging
    package

11
How can visibilities be used? (2)
  • Can infer quantitative source properties
    without mapping.
  • Source diameter
  • Source ellipticity
  • Source position
  • Statistical errors can be well-determined.
  • Provides a very sensitive tool for refining
    grid calibration

12
Status of Visibility Software
  • Currently testing a fragile version of software
    to calculate, display and exploit visibilities
  • Available offline to venturesome volunteers
  • Many features to be implemented
  • Testing for compatibility with latest version of
    hsi_phz_stacker
  • Handling of missing visibilities
  • Better shell routine for convenient execution
  • Testing with use of automatic calculation of
    time and roll bins
  • Convenient tools for exploiting visibilities
  • Improved grid calibration
  • Calculation and application of statistical
    errors
  • Testing with harmonics
  • Integration of visibility analysis routines

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