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OBSERVATION OF THE BINARY STAR NN SER USING THE FAULKES TELESCOPE

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Title: OBSERVATION OF THE BINARY STAR NN SER USING THE FAULKES TELESCOPE


1
OBSERVATION OF THE BINARY STAR NN SER USING THE
FAULKES TELESCOPE Anne O Leary Sacred Heart
Grammar School Newry
METHODS AND MATERIALS In order to use the
telescope to time the eclipse of NN Ser, I used
live sessions on the telescope to capture images
of NN Ser during an eclipse. The Faulkes
Telescope is equipped with a CCD camera. This
contains a piece of silicon which detects light
through the photoelectric effect, which causes it
to emit electrons when light falls on it. These
electrons build up in individual photosites, and
during processing, the number of electrons is
counted and is related to a certain intensity or
brightness of light. The image produced by the
CCD camera can then be used for photometry. I
used the program AIP4WIN to carry out the
photometry. I wished to find the change in
magnitude of NN Ser over time. This is done by
comparing the brightness of NN Ser to other stars
in the image. As time passes, the brightness of
NN Ser drops as it is eclipsed and then rises
back to its original level as the hot star
emerges from behind the cooler one. AIP4WIN
creates a record of the change in brightness and
this file can be transferred to Excel in order to
plot a graph of the change in magnitude of the
star. This graph is known as a light curve and an
example of the light curve of NN Ser is shown
below. In order to achieve a reliable and
accurate light curve, I had several sets of data.
These sets of data then have to be combined in
order to provide one complete light curve. To do
this, the light curve must be a graph of change
in magnitude against phase rather than against
time. In order to convert my times to phases, I
had to use the equations below
teclipse T0 P.n ø (t - teclipse)/P Where
teclipse is the time in Julian days when the
star eclipses. T0 is the ephemeris , a known time
in the Julian calendar when the star eclipsed. P
is the period of the star (187minutes) n is the
number of cycles that have occurred between the
two times. ø is the phase of the eclipse. In
order to use these equations, the dates and times
of the observations had to be converted to Julian
days. Then an approximate value for n was found
by rearranging the formula and using a time from
my observations which was estimated to be in the
middle of an eclipse. This value for n was then
rounded to give the integer number of cycles that
had occurred. From this, an accurate value for
teclipse is found. Using the second formula, the
times of my observations were converted to phases.
AIP4WIN Being Used For Photometry
RESULTS The light curve plotted by Excel is shown
below. In some places, data was missing these
points occurred during the eclipse and so I have
replaced them with a value of ten, the maximum
that could reasonably be expected.
CONCLUSIONS AND FURTHER WORK When comparing the
sample curve with the curve I obtained, several
problems are highlighted. First is that the curve
is not flat during the eclipse. This can be
explained by looking at the process of
photometry. The stars drop in magnitude was
found by comparing NN Ser to other, constant
stars in the image. A drop in magnitude, or
dimming is found when fewer photons are recorded
per pixel. However, with fewer photons, a drop in
accuracy occurs. In this case, the drop in
magnitude was very large and so the number of
pixels recorded was very small, therefore the
percentage inaccuracy was very large. This lead
to unevenness in the light curve. It is also
seen that the light curve is not centred at phase
equal to zero. This is due to the fact that I
have not included Barycentric corrections in my
data. Because the earth is in constant orbit
around the sun, the distance from the NN Ser to
the earth, and therefore the time taken for the
light to reach the earth constantly varies. In
order to give accurate timings, many prediction
times and records of events are given as the time
they occur as viewed from the sun or barycentre.
This creates a difference between the given time
of the event and the time the event is observed
from earth. This difference varies between my
sets of data as the earths position relative to
the sun has changed. They Barycentric corrections
involved taking away a certain number of seconds
to my observed times in order to convert them to
times as seen from the sun. I found that when I
attempted to do this, the data correlated less
and that it did not become significantly centred.
The problems with the Barycentric corrections may
indicate that the timing mechanism of the
telescope may require further investigation. Furth
er work may include observation of the star with
longer exposure time during the eclipse to
investigate how much the curve would be improved.
The investigation might also include further
investigation of the timing mechanism of the
telescope. If the timing is found to be
sufficiently accurate, it is possible that the
telescope may be appropriate for use in
conjunction with other telescopes around the
world in order to provide a continuous stream of
data for a research astronomer.
ACKNOWLEDGEMENTS I would like to thank all the
staff at Armagh Observatory for their patience
and help. I would especially like to thank Dr
Simon Jeffery my supervisor who did everything
possible to help me with my project Amir Ahmad
who helped in Dr Jefferys absence and Apostolos
Christou who also sacrificed his time in aid of
my project and my general education in astronomy.
I would also like to thank the staff at the
control centre for the Faulkes Telescope and the
staff in Hawaii for their help in making the
telescope available to me.
This project was carried out at the Armagh
Observatory under the supervision of Dr Simon
Jeffery. It was supported by a Nuffield Science
Bursary.
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