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Although difficult, ground-based photometry of faint objects in crowded fields does not really compare with crowded-field photometry with a space-based telescope/camera, e.g., HST/WFPC2, which features an undersampled and spatially varying point-spread function (PSF), with high-frequency structure in the PSF ``wings''. These factors, plus the sheer number of stars which may require measurement as a single group, cause a variety of practical problems for star detection and photometry, which were detailed in Butler (2000).
In this paper we examine solutions to the above issues by taking an
example, the post-core-collapse globular cluster M28/NGC 6626. We
obtained two sets of archival HST/WFPC2 observations of M28 as
follows: (1) 424 sec in F555W & 423 sec in F814W taken on 8/08/97
(P. I. Gebhardt); (2) 1128 sec in F555W & 1508 sec in F814W taken on
12/09/97 (P. I. Buonanno). Both datasets were taken in dithered mode,
with steps of 3.666 pixels (epoch 1) or 2.745 pixels (epoch 2) in X
and Y on the PC1 chip. There is a relative rotation of
12875 between the two datasets. Finally, the cluster core
is centred on the PC1 chip. There is an object of great interest to us
in this core field. PSR B1821-24 is a millisecond radio pulsar (period
ms; see e.g., Cognard et al. 1996) in M28. The fact that
the magnetic field & spin coupling is of a similar magnitude to that
of the Crab pulsar in the vicinity of the light cylinder has suggested
that the millisecond pulsar may well be an efficient nonthermal
emitter. The confirmation by the ASCA satellite of a strong
synchrotron dominated hard X-ray pulse fraction (Saito et al. 1997)
encourages such a viewpoint. Using phenomenological models of pulsar
magnetospheric emission (Pacini & Salvati 1987; Shearer & Golden
2000), the predicted optical luminosity is estimated at
21.5-23.5, which would be reduced to an observable
-25
by the interstellar extinction towards M28 of
mag
(Davidge et al. 1996). This would yield the first optical
millisecond pulsar, indeed the first optical pulsar in a globular
cluster or any such old stellar population. But PSR B1821-24 lies only
12
from the center of M28, so a targeted
high-resolution search of the entire radio error circle to
25 is a challenge--even with HST.
There are many advantages to ``drizzling'' HST/WFPC2 images (Fruchter
& Hook 1997). It genuinely restores some of the resolution lost to
undersampling; it resamples onto a regular astrometric grid, with the
option of subsampling the images by 22; and it is a linear
reconstruction method, so the resulting stellar profile shapes are not
dependent on signal/noise and the noise statistics remain
``physical.'' This makes it an excellent starting point for our
non-linear subsampled MEM (Maximum Entropy Method) deconvolution
approach to star detection and crowded-field photometry on HST/WFPC2
images. The latter also has many advantages. Star detection is
improved because the actual HST PSF shape, in all its complexity, is
used (via deconvolution) to `'Gaussianise'' the PSF while also better
separating the stars from each other. Photometry is also slightly
improved; our simulations (Butler 2000, Butler & Shearer 2001) have
shown that aperture photometry on the subsampled MEM-deconvolved
images is superior to all of the following conventional reductions of
the original data: aperture photometry, profile-fitting photometry,
and the hybrid method of aperture photometry on neighbour-subtracted
images (e.g., Yanny et al. 1994).
We combined both these processes as follows. The images were
``drizzled'' and cleaned in the normal way, subsampling by a factor of
2. A series of ``dithered'' synthetic PSF grids were also
``drizzled:'' the ``stars'' were a uniformly distributed 66
grid of normal-sampled Tiny Tim (Krist & Hook 1996) synthetic PSFs
for each WFPC2 chip & filter combination, computed at high spatial
subsampling, shifted to reproduce the dither offset, rebinned to
normal sampling and convolved with the pixel scattering
kernel. Instances of the PSF were obtained for deconvolution, at any
desired position and with a further 2
subsampling factor,
after combining them using a quadratically variable DAOPHOT-II
(Stetson 1994) model. Highly overlapping subimages of the field were
deconvolved with these PSFs; the deconvolved subimages were
reassembled into a whole sharpened, subsampled image for each filter
and epoch. The four deconvolved images (F555W and F814W each at two
epochs) were combined with a moderate rejection threshold: this
eliminated nearly all artifacts, because (a) the radial structure of
the PSF changed (due to the waveband dependence of the PSF shape), and
(b) the position-angle of the PSF structure on the sky changed (due to
the rotation changes). We used this deep, clean, sharp coadded image
for star detection. We then performed PSF-fitting photometry on the
original ``drizzled'' images with this starlist and the existing PSF
models. All but
120 selected bright ``PSF stars'' were
subtracted from each image and a spatially-varying empirical PSF model
was computed. The deconvolution & photometry steps were repeated with
the refined PSFs. The final photometry was aperture photometry on
these improved deconvolved images--both fast and accurate.
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Examination of the radio-derived error circle yielded several
potential candidates, down to a magnitude of
23.0; but
both in the context of the CMD of M28, and with regard to
phenomenological models of pulsar magnetospheric emission, none of
them exhibited emission expected from a magnetospherically active
pulsar (Golden, Butler, & Shearer 2000). The key point, however,
is that the starlist in the field of PSR B1821-24, obtained via our
drizzling plus deconvolution technique, is more reliable than that
obtained by Sutaria (2000) with a subset of this same data (i.e., F555W
epoch 2), which appears to be contaminated with several faint spurious
detections. We therefore believe that deconvolution of ``drizzled''
and rotated images (
2 spacecraft roll angles) is the optimal way
to detect and measure faint objects in crowded fields imaged with HST,
and we recommend such an observing strategy.
We gratefully acknowledge financial support from Enterprise Ireland (Basic Research Programme) and the European Commission (TMR Fellowship ERBFMBICT972185 funded much of this work, performed by RB at the University of Edinburgh, UK [TMR host: Prof. Douglas Heggie]). This work was based upon HST data obtained from the ST-ECF (ESO) archive.
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