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| Miranda - October 26, 2017 - 00:40 UTC Compared to Graphic Generated by JPL Rings Node |
While you may not have heard of this
diminutive moon, I have been attempting to capture it photographically for over
three years. You might even argue that I
have yet to image Miranda. It is difficult to see huddled close to its
brilliant primary. Clearly imaging Miranda is no easy task. However, with a
little patients and a lot of image processing, Miranda can be coaxed out of the
pixels of an amateur CCD camera.
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| Miranda - Voyager 2 Mosaic - NASA Jet Propulsion Labatory |
Miranda is the fifth largest satellite of the seventh planet. It had its fifteen-minutes of fame way back in 1986 when Voyager 2 reconnoitered its system. Miranda stole the show boasting a patchwork of smooth un-cratered terrain, an odd “Racetrack” of 12-mile deep valleys and sheer cliffs towering more than three miles into the sky.
Unfortunately, The Challenger Disaster soon wiped Voyager
2’s discoveries from the news, and Miranda was soon forgotten.
However, I never forgot Miranda. Since childhood, I have found planetary
satellites fascinating. While other astrophotographers strive to capture the
beautiful colors of The Trifid Nebula or the majesty of a spiral galaxy, I dig
deep into my images to coax the few photons that I have captured from a distant
ice ball. Never, did I believe I could actually image twenty-four of these
planetary moons.
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| Miranda is The Third Moon from The Left. - Mc Donald Observatory - 1948 |
At Magnitude 16.6 and always girdling its 5th
magnitude primary, Miranda is impossible to see and a challenge to image. It required
an 84-inch telescope to be discovered in 1948. How could I have the audacity to
attempt to recreate this feat?
Although I attempted many times to image Miranda, last October, I had a lot going for me. Observing from 29°N meant, placed Miranda 10° higher than I had ever attempted to photograph it. Likewise, I had a larger telescope and, Miranda was at opposition. With Miranda at its brightest, October promised to be the best time to attempt an image.
Miranda can only be imaged when it is farthest from its primary.
Sadly, I know of no software that offers
this information. How could I determine the time of Miranda’s greatest elongation?
As a satellite circles its primary, its speed changes relative
to the observer. In general, it will be racing toward the observer at its highest
speed when it is at its greatest elongation on one side of its primary. Likewise,
it recedes at the highest velocity when at its greatest elongation on the other
side of its primary.
With its “Horizons" website, The Jet Propulsion Laboratory
offers a variety of information about observing any solar system object. One of the details available is “deldot.” “Deldot” gives
the speed that an object is traveling relative to the observer.
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| JPL Horizons Results |
Open the JPL Horizons website. Input “Miranda” as the Target
Body. It is critical that “Geocentric” be used as the “Observer Location.”
Otherwise, the results will be difficult to interpret as the application factors
in the speed of the observer on a rotating earth. Once the time-span is
selected, results are only a mouse click away.
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| JPL Horizons - Web Interface |
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| JPL Horizons Results for Miranda |
That is the point in its orbit when Miranda is receding at its fastest and must be near to its greatest elongation.
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| Rings Node Graphic for the Time of My Observation |
Once the time of greatest elongation is determined, another
JPL site, Rings Node - Planet Viewer , may be used to generate a graphic of the system and
visualize where the object might be found. Fortunately, on the night
of my observation, no other moon appeared on Miranda’s side of the planet.
Armed with this information, I went out into the field and
began imaging. I used a ZWO ASI224MC
camera and a Meade 14” LX 850 for my observations. I acquired 20 images each
exposed for five seconds and 20 images each exposed for seven seconds.
I “2X2 binned” these images. This means that each pixel
(each dot) of my image is the result of four (2X2) pixels on my camera. When
one uses “binning”, the resolution plummets. However, the sensitivity of the
CCD is increased. I needed no high resolution for my Miranda images. Instead, I
required maximum sensitivity to attempt to capture light from the faint moon.
One of the images looks like this:
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| Single Image - 5 Second Exposure |
Although the green color of the primary is apparent, none of
its moons can be seen. To coax the moons from the data, I stacked both my group
of five and seven second exposures. I used “Registax” to stack the images.
Although Registax was created to stack images of planetary surfaces, I use it
to find the inner satellites of planets. To date, I have used Registax to image
the tiny Martian Moon, Jupiter’s Amalthea and Saturn’s Mimas.
Stacking the images reveals two of the moons, but not the
coveted Miranda.
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| Stack of 20 Five-Second Exposures and 20 Seven-Second Exposures |
Registax has a “wavelet” function. Wavelets are magical
tools that used interference patterns to “blur” images of planets to reveal
greater surface detail. The program
processes the black sky, bright primary and faint moon in the same way it
processes a bright crater rim and dark shadow.
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| Miranda Barely Visible at 5 O'Clock |
With a little adjusting of brightness and contrast, five
moons become visible. I wish that Miranda’s image was farther from the
overexposed center of the image. Unfortunately, seeing on the night of October
25th left quite a bit to be desired.
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| Miranda! Stack of 40 Exposures Processed with Registax |
Photoshop may be used to remove the overexposed center and replace
it with a second, better-exposed image. However, one begins to wonder when an
image has been over-processed and begins to become fiction.
With this image of Miranda under my belt, I plan to attempt
imaging other inner satellites including Jupiter’s Thebe and Pluto’s largest
moon, Charon. I will let you know how I do.
So, there you have the story of my Miranda image. I invite
your input.
Keep looking up for clear skies.
Ken Everhart
