LuckyCam
The lucky imaging camera system
Lucky imaging greatly improves the resolution of images in the longer
visible wavelengths, with the NOT, even to the diffraction limit of
the full NOT aperture. With the current LuckyCam at wavelengths as
short as H in relatively
good conditions (seeing < 0.8") resolutions of better than 0.3"
even of extended objects, nebulosity, have been obtained and field
star FWHMs in the range 0.1-0.2 arc seconds can be obtained routinely
under similar conditions using reference stars as faint as
I=16. Diffraction limited I-band images can be achieved in good (<
0.6") seeing with somewhat brighter reference stars while under poorer
conditions the seeing resolution can be improved by as much as a
factor of four.
As a consequence of numerous refinements to the camera system
involving both the hardware and software interface it is essentially
possible to operate the LuckyCam as a normal direct imaging system,
though to date it has always been operating in service mode. The
current Lucky Imaging camera is substantially different from that used
previously on the NOT. Firstly it now uses an array of four
electron multiplying (photon counting) CCDs in a line giving a
contiguous imaging area of 4000 x 1000 pixels. An important
innovation is the inclusion of the ability to see in real-time the
image building up on the screen, though incorporating a less stringent
sampling criteria to that used in the data post processing. The camera
can presently provide four fields-of-view (FOV) by the insertion of
some simple reimaging optics, the FOV are approximately 360" x
90", 180" x 45", 120" x 30" and 90" x
22.5". The isoplanatic patch size was found in earlier runs
to be > 1 arc minute diameter, and the team believe they have
developed methods to extend this further. Using the larger plate
scales does result in a small decrease in achievable resolution: pixel
sizes are 0.1", 0.05", 0.033" and 0.025"
respectively.
The Lucky Imaging method relies on taking images at high speed,
analysing the images to select the sharpest ones and then shifting and
adding to give an output image with much higher resolution than a
conventional slower scan CCD (such as StanCam) would record. The
system uses a four thinned (back illuminated) CCD201 L3CCD
manufactured by E2V, with 1024 x 1024 pixels of 13 µm square mounted
within the liquid nitrogen cooled vacuum dewar at the focus of a
simple reimaging camera. The CCD itself has an internal, noiseless
gain mechanism allowing it to be run at high speed - so that there is
essentially no readout noise and individual photons are clearly
visible in the output data frames.
If the camera is run in full frame mode then the readout rate is 20-30
frames per second. Even at the fastest rate this is slightly slower
than is ideal to full sample the atmospheric coherence time typically
found at the NOT. For the very best imaging performance the camera may
be run in a reduced frame mode to give faster readout rates. We can
record data to disk continuously for the entire night if
necessary. The system can be run in a reduced frame rate reading out
(for example) 4000 x 500 pixels at twice the full frame rates.
The observations are most easily done in the far red and we typically
work in I band and generally longer than 700 nm, though as mentioned
above good results have also been obtained at wavelengths as short as
H. We have taken most of our
observations with the SDSS i or 780nm long pass filter, but up to 20
filters can be accommodated in the instrument filter wheel. An
atmospheric dispersion corrector should allow observations at quite
large zenith distances. However the seeing is degrades with
zenith distance so it is wise to restrict ZD if the best resolution is
to be achieved.
Because of the complexities involved in data reduction and image
selection we would propose that we pass the data through our data
processing pipeline before giving the reduced data to the
observer. Naturally the original raw data would also be available but
potential users should be warned that we take approximately 1GB of
data in 8 seconds so disks fill up horrendously quickly. We predict
data volumes of about 3 Terabytes per night.
Lucky Imaging has been extensively tested between 2000-2008 and can
reliably achieve the resolution improvements detailed above. Potential
users who would like to find out more about this technique will find
an excellent review of Lucky imaging described in "Lucky Imaging:
High Angular Resolution Imaging in the Visible from the Ground",
N. M. Law, C. D. Mackay, J. E. Baldwin, A&A 446, 739-745 (2006),
or for even more information on what we have achieved so far might
wish to look at the Lucky Imaging Web Site at Lucky web
site .
The Lucky imaging camera team would be happy to work with other
astronomers who wish to use LuckyCam on the NOT in 2009 - and we
welcome the chance to collaborate with such astronomers should they
wish. We will also be happy to discuss with them their observing
programme and whether changes or improvements might be advisable. In
the first instance please contact Craig
Mackay.
Examples of what potentially can be obtained from LuckyCam
Lucky images of five new binaries.
These images are taken from the paper "Discovery of five very low
mass close binaries, resolved in the visible with Lucky Imaging,
N. M. Law, S. T. Hodgkin, C. D. Mackay, Submitted to MNRAS 2005,
astro-ph/0512449. |
The table shows the percentage of frames selected from 1000 frames
taken at 12 Hz frame rate in I, the resulting shift-and-added FWHM and
the estimated Io Moffat peak intensity w.r.t. the
equivalent integrated image.
Good Seeing (~0.6") |
Moderate Seeing (~1.4") |
% |
FWHM |
Io |
% |
FWHM |
Io |
1
|
0.12
|
0.25
|
1
|
0.27
|
0.27
|
3
|
0.13
|
0.6
|
5
|
0.38
|
0.7
|
10
|
0.14
|
1.8
|
20
|
0.43
|
2.1
|
30
|
0.17
|
3.7
|
50
|
0.5
|
3.9
|
Normalised Moffat Profiles showing the expected improvements in
image quality for the two conditions of 0.6" and 1.4" seeing for
different percentages of selected shift and added frames.
|
The Lucky imaging technique has even made the BBC, see Lucky on the
BBC , which has video including Craig Mackay giving an explanation
of Lucky imaging and some results from data taken on the NOT and
described by Nicholas Law.
|