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Target 4:
Target 4 is a dim star, that is showing a wide
range of variance. Its error bars are clearly
visible but not too large. This star is showing
positive signs that it is going to form a very good
wave pattern.
Because of its wave pattern and period of
around 40 days, it appears to be a type of long
period pulsating variable star (for example a
Cepheid) or a rotating variable.
Target 6:
Target 6 is a medium-high magnitude star, that
appears to be varying in a regular pattern.
However, recent data has been going against
the trend of the light curve of target 6.
Like Target 4, this star could possibly be another
pulsating or rotating variable.
Target 3:
Target 3 is another dim star of about 14.3
magnitude, but has one of the largest amounts
of variability out of any of my target stars.
However, because of its very low magnitude,
the error bars for this star are very large. It
shows no pattern in its variance as no two
nights have the same magnitude for this star.
It is hard to determine what type of variable
star this is yet, but because of its variation
across every image, it may be a short period
variable star.
Target 2:
Target 2 is a very bright star, the second
brightest in the field, and also has a high range
of variance (0.25). In the April images target 2
displays a much higher magnitude, whereas in
the June/July/August images, the star has a
much lower magnitude, indicating that it may
be a long period variable star. Recently Target 2
has begun to rise back to its original magnitude.
Comparison Star 5:
Comp 5 is a high magnitude star that has a very low variance. It is a good choice for a comparison star, because it has an ideally bright magnitude, a very low variance and an almost perfect Colour Index (B-V). As you can see, the variance is only 0.06, which indicates that it is much more stable that the target stars.
2. How I chose my field
To choose a field, I set some criteria:
• Near the South Celestial Pole because the Southern skies are less explored and as I live in Australia.
• Near the galactic plane of the Milky Way so there are plenty of stars, but not right in the middle, wherethey are too dense.
• Visible for at least part of most nights of the year from the Siding Spring Observatory in NSW.
From this criteria I chose a constellation, but had to narrow in on part of it that had no known variables.
To check this, I downloaded the data for all the variable stars in my constellation from the AAVSO’s VSXdatabase and used an Excel Pivot Table to break my constellation up into small squares and show a heatmap of how many variable stars are known in each square. A sample pivot table is shown below, and a fieldwith no proven variable stars is annotated onto it in red.
Searching for a Variable StarWill Stamp
Astronomical Society of Victoria, Juniors Section
How do we find them (basic explanation)?
The most common method (and the method that I am using) is called Differential Photometry. Basically,
you take many images over a period of time, and then use photometric software to find stars that are
varying. To do this, you must first choose 3 comparison stars, which have to be bright, white stars that are
very stable. The software compares the brightness of the comparison stars, to the brightness of every
other star in the field, to find any stars that are varying.
3. iTelescopeFor taking our images I used a high-tech telescope operated by the iTelescope
network.
iTelescope is a network of Internet connected telescopes, that allows
astronomers to take images of the night sky. They operate 19 telescopes at 3
observatories located in New Mexico USA, Australia and Spain.
Telescope bookings are made over the Internet and the entire session is fully
automated, including targeting, focusing and capturing the images, which are
then made available for retrieval from the iTelescope.net site.
I used iTelescope T9, located at the Siding Spring Observatory in NSW,
Australia. It has an aperture of 12.5” (317mm) and a focal length of 2171mm,
resulting in field of view of 14.4 x 21.6 arc-mins.
4. CCD Photography for AstronomyAttached to iTelescope’s T9 is a CCD camera, which captures the images.
A CCD (Charged-Coupled Device) is a microchip that constructs an image made up of a grid of thousands of
small rectangles called pixels. Each pixel is an electrically isolated sensor that measures the amount of light
that hits that pixel during the exposure. It relies on the photoelectric effect, whereby a photon hits the CCD
and causes an electron to be released. When the exposure time is complete, the chip counts the number of
electrons that have accumulated in that pixel, effectively acting as a “photon counter” to calculate a digital
representation of the brightness of each pixel making up the image.
Simply put, an image is made up of pixels, and the more light (photons) that hits a pixel, the higher the
reading.
Each pixel is stored as a value called ADU (Analogue-Digital Unit), which is digital number that represents the
number of photons that hit that pixel. The following images show a zoomed in image of a star, and the exact
value of ADUs per pixel.
5. Finding stars and their instrumental magnitudeThe next step is to use photometry software to identify all of the stars in the images and to calculate the
brightness of each one.
To identify the stars in the image, the software is able to identify whether there is a star there or not by
searching for a cluster of high ADUs, as shown in the images.
For each of the stars found, the software calculates the instrumental magnitude, which is an uncalibrated
value that shows how bright the star is compared to the image background (empty space). In basic terms;
the instrumental magnitude is the ADU count of the all pixels in the star, minus the ADU count of empty
space behind it, or how much light the star added to the sky around it.
6. VaST - Variable Star Search SoftwareAfter taking a large number of images, the next step was to search for stars that showed signs of being
variable.
To do this, I used a software package called VaST, which identifies all of the stars in my images and shows
how much each star is varying. The result is a graph that plots the standard deviation of each star (the
amount of variability) over its instrumental magnitude (its relative brightness).
An example plot from VaST is shown below, showing some stars highlighted in green that are prospective
candidates because they have higher magnitude and variance.
7. VPHOT – Annulus and Aperture GapOne of the hardest problems to overcome in photometry, is when one of your targets has another smaller star
very close by, that could possibly be effecting the variability, because the small stars are visible in some images
and not in others. The effect of this can be significantly reduced by using something called the annulus.
8. VPHOT – Calibration using comparison starsOnce the instrumental magnitudes have been calculated for each star in the field, we must now begin to
calibrate the magnitudes of the stars. All magnitudes must be calibrated so that other astronomers can
compare results.
The first step is to identify some stable stars, to be your comparison stars. Comparison stars must have a
constant known magnitude, a specific colour index (B-V must be between 0.35 and 1.0), and be relatively
bright. I used Stellarium to find stars that matched all of these criteria, and found 5. The AAVSO has catalogues
of comparison stars, but I chose a field that had no published comparison stars, so I had to find my own.
By inputting the magnitude value of the comparison stars, the photometry software is able to determine the
calibrated magnitude of every other star in the image by comparing the difference between the comparison
star’s instrumental and calibrated magnitudes, and applying this same translation to the target stars.
Thanks
• Mike Thompson, Backyard Astro Science and Astronomical Society of Victoria
• Chris Rudge, Astronomical Society of Victoria
• Peter Lake, iTelescope.net
• Ms Adolph and Ms Grainger, John Monash Science School
• Duncan Galloway, Monash University
• Peter Stamp, My Dad
9. Results – Light CurvesWhat is a light curve?
A light curve is a graph of the star’s magnitude over time. Light curves are vital to prove and determine what type of
variable star it is. Some light curves show a distinct pattern of variance, while others show no pattern at all and vary
randomly. Discovering the period of the variable is also very important, as it can provide insight into the type of
variable it is. The following graphs are the light curves that I have created from my images:
1. Introduction
Aim: To use differential photometry to discover a variable star.
What is a variable star?
A variable star is a star whose brightness changes over a period of time
that can be random or regular. There are 2 reasons why stars vary. They
are either Extrinsic Variables or Intrinsic Variables.
Extrinsic Variable Stars
An Extrinsic Variable Star varies because of things outside the star,
where an object passes in front of the star and blocks some of its light.
Some examples are:
• An Exoplanet, orbiting its star
• A binary star pair, orbiting each other.
Intrinsic Variable Stars
An Intrinsic Variable Star varies because of internal factors such as
pulsations, eruptions or because of growing and shrinking.
Some examples are:
• Exploding Supernovae• Mira variables that expand and shrink• Cepheids
Exoplanet
Binary Star Pair
Supernova
The annulus is made up of three components that serve
different purposes; the inner annulus, buffer and the
outer annulus. Inside the inner annulus, all of the photons
are measured, and added together to find the
instrumental magnitude of the star. The outer annulus
must not contain any stars, as it is used to find the
brightness of the background (empty sky). The buffer is
used to remove the tiny stars from the image, and all
readings inside this area are ignored.
The three components of the annulus must be
customised for every target, to ensure that the cause of
the variability is not due to tiny stars in the inner annulus.