Visibilities à la Fourier
RHESSI is a
Fourier imager, which means that it obtains amplitudes and
phases (a.k.a. "visibilities") of the X-rays that it modulates. This
particular
design
was driven by many forces, not the least of which was the mantra
"faster,
better, cheaper" which put strong cost and size constraints on the
small explorer (SMEX) satellites
of the 1990s. Previous solar instruments that used Fourier techniques were
Hinotori,
HEIDI, and
HXT, but RHESSI has unique
new Fourier/visibility-based
capabilities that are only now beginning to be exploited.
What does Fourier have to do with imaging? The 18th century
mathematician Jean
Baptiste Fourier discovered the principle that any signal can be broken
up into a superposition of sines and
cosines, or the equivalent amplitudes and phases, but he did not himself
invent Fourier imaging. Applications of Fourier methods to imaging
had to wait until the late 19th century when the amplitude and phase pairs
of
optical interferometry came into use, and these pairs came to be known as
visibilities, as in "fringe visibility". Later in the 20th century radio
interferometry used the same entities, and now hard X-ray
astronomers have joined the visibility game.
How do we create visibilities?
To get hard X-ray sines and cosines is difficult, but RHESSI uses a good
approximation, triangular waveforms. In the ideal case--constant background,
thin grids, and high photon rates-- the modulated waveform generated by
photons incident on one of RHESSI's sub-collimators has a triangular profile
(Fig. 1). The amplitude of the waveform is proportional to the intensity of
the beam and its phase and frequency depend on the direction of incidence. For
complex sources, and over small rotation angles, the amplitude and phase of
the waveform provide a direct measurement of a single Fourier component of the
angular distribution of the source.
Different Fourier components are measured at different rotation angles and
with grids of different pitches.
Fig. 1
Ideal hard X-ray grid response (solid curve), with
its associated fundamental sinusoid (dashed curve).
From time tags to visibilities
We illustrate the end-to-end process of computing visibilities for a
particular flare interval, a single subcollimator, and a single energy band.
The primary RHESSI data are photon time tags and pulse heights, which must be
transformed in various ways before imaging is possible. RHESSI's time tags and
pulse heights for a selected 100-ms interval are shown in Fig. 2a. These
time tags have not yet been binned in energy or time, so they are difficult to
interpret by eye, but several cosmic-ray-produced gaps are evident.
Fig 2a Time-tagged pulse heights
A sequence of basic (linear) operations must be performed on these data to
convert them to visibilities. The next step is to bin the data in energy and
in uniform roll-angle bins, as shown in Fig 2b.
Fig 2b Energy-binned pulse heights.
The next step is to "histogram" the time tags into time bins, as shown in
Fig 2c for 3 rotations.
Fig 2c
RHESSI modulation profile. The green vertical lines mark the
boundaries of spacecraft rotations, and the red tick marks indicate the roll
bins selected for phase-bin stacking. Three sets of rollbins are
identified by the colors blue, orange, and cyan.
We now progress further towards constructing visibilities by binning the
modulation cycles into roll bins, which are then binned again into 12 aspect
phase bins. In this case there are 16 roll bins, three of which are outlined
in color (blue, orange, and cyan) in each rotation. After phase binning, each of these
rollbins can be co-added.
Fig 2d
Stacked roll bins #3,4 & 5 taken from the three selected
regions shown in corresponding colors in the previous figure.
This process, called
"stacking" increases the S/N ratio and provides a platform for
computing amplitude and phase.. This generally improves the aspect phase
coverage because the angular drift of the telescope causes the aspect phase
to differ from one rotation to the next. After stacking we fit sinusoids to the
profiles (red curves in Fig 2d).
In order to calibrate the parameters generated by the fits, a number of
corrections must be made. The grids have a finite thickness, which produces
internal shadowing and modifies the triangular-like response; this also causes
a decline of transmission as a function of the off-axis distance; the grid
slats are not all perfectly aligned parallel to the optical axis, which leads
to a "venetian blinding" effect, which makes even and odd half-rotations
unequal; and there are detector-to-detector sensitivity differences.
Fortunately, RHESSI was calibrated in many ways before launch, and the
instrument has many self-calibration capabilities, so all of these effects can
be calibrated out. Using the RHESSI calibrations, one may remove the
instrumental dependence and convert the sinusoids to photon rates.
The final steps in constructing visibilities are to output the amplitudes and
phases of the fitted sinusoids, and compute error estimates based on photon
statistics and instrumental systematics. Fig. 2e shows the computed amplitudes
in the upper panel, and the visibility phases in the lower panel.
Fig 2e Visibility amplitudes and phases derived from the
stacked counts in Fig, 2d. Roll bins #3,4 & 5 taken from the three selected
regions are shown in the same colors as the previous figure.
Note that the visibility amplitudes are in units of photon flux, unlike
the stacked modulation profiles, which are in counts per bin. Since the
calibrations have been applied, the visibilities are very nearly independent
of the instrument. The importance of this instrumental independence is hard
to overestimate. It makes it possible, for example, to use radio imaging
techniques such as MEM
for RHESSI imaging, and to do forward fitting
(see earlier nugget). We list several other applications of visibilities
later.
RHESSI visibility amplitudes
Above, we showed data for only a single subcollimator. But RHESSI's great
imaging power results from its coverage of a wide range of spatial scales with
its 9 subcollimators. Here (Fig. 3) we show the amplitude dependence as a
function of both subcollimator (SC) and roll angle (PA). The x axis is a
linear combination of both variable in the form SC+PA/180. Thus, for example,
the roll angles 0 to 180 degrees are shown for subcollimator 6 for x between
6.0 and 7.0.
The observed amplitudes are indicated by blue crosses and their associated
estimated standard errors are shown by vertical error bars. Note the variable
amplitude as a function of roll angle for each subcollimator. This variation
is caused by the "beating" of the two flare sources against each other. Note
also the gradual falloff of amplitude as the subcollimators become finer
(towards smaller x). This falloff is the result of the finite size of the
sources. When the angular pitch is smaller than the source size, the
modulation amplitude is reduced (and error bars become larger).
The solid red curve shows the visibility computed for a model given by two
Gaussian sources. For subcollimators 2-9, the model fits the observations
quite well. For the finest subcollimator, the angular pitch is much smaller
than the source size, and the amplitudes are essentially indeterminate. The
residuals, shown by squares, are relatively small for all subcollimators above
1.
Amplitude profiles such as this (and of course, phase profiles, which, for
reasons of nugget space we do not show) are invaluable for diagnosing source
structure of many kinds.
Fig. 3. Observed visibility amplitudes (blue crosses) for a flare
interval as a function of subcollimator (SC=1-9) and position angle
(PA=0-180°) of the grids. Each of the 9 vertical panels shows the
amplitude as a function of PA for one subcollimator (labeled by red digits
below the X axis). The red curve represents a model using two Gaussian
sources, and the green squares show the residuals relative to the model. For
a given subcollimator (6 and 7 are good examples), the amplitude rises and
falls sinusoidally while the grids rotate from PA=0 to PA=180°. In
general, such sinusoidal variation indicates an extended or double source.
What use are RHESSI Visibilities?
Aside from the advantages that RHESSI visibilities are a highly compact,
device-independent representation of the data, there are several other advantages
to creating them. For one, making maps can be greatly sped up by using highly
optimized radio astronomy
programs. For another, one may reliably determine source sizes using
a visibility forward-fit routine. Other barely exploited advantages are
- Mapping in the 7 keV Fe line;
- Mapping in the sum of nuclear lines;
- Mapping in terms of photon energy, not detected energy;
- Mapping separately in nuclear lines and the continuum;
- Improved pileup corrections for hard X-ray images
- Enhancing statistical sensitivity by weighting
- Improving iterative processing
Another important, already-exploited use is self-calibration of phases. By means
of such self-calibration it will become possible to utilize the 2nd and 3rd harmonics
of the near-triangular RHESSI waveform (Fig. 1). Up until now, we have used only the fundamental
sinusoids, but the higher harmonics will provide more complete coverage of the
Fourier plane for better imaging and higher resolution, as good as ~ 1 arcsec.
Acknowledgments
The RHESSI software team, particularly Richard Schwartz and Rick Pernak, have helped bring
us into a renaissance of visibilities. without their continuing assistance, the team would still be
in the dark ages of Fourier imaging.