INX300_ProjectChoice2_VirtualAstronomy (1)
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INX300: Astronomy
Seneca College
2023
Choice 2: Exploring the Night Sky with Stellarium
Web
20% of the course mark. Due by Dec.1
.
In this project you will use the free browser-run version Stellarium
Web
https://stellarium-web.org/
to
virtually “observe” the night sky and the visible planets, to collect and analyze data of stars and
stellar clusters. Stellarium
Web
has the advantage that it does not require download and setting up of
multiple options, unlike the full version (also free and available from
https://stellarium.org
).
Stellarium
Web
has only a few basic settings, while still correctly representing the night sky for the
chosen times and locations.
In Part 1 of the project you will view planets visible in the evening sky and summarize their
properties. In Part 2 you will explore and analyze properties of stars in one constellation of the
season. In Part 3 you will analyze open clusters of stars.
You can choose to work in a group of 3 students and do all 3 parts of the project. It is recommended
to split the work in a way that you contribute to each part. If you work alone choose either Parts 1
and 2, or Parts 2 and 3.
Familiarize yourself with the
Stellarium
Web
options first:
Fig.1. The Stellarium
Web
screen with the viewing options.
Course Project - Choice 4
Prof. M. Nenkova
1
INX300: Astronomy
Seneca College
2023
Open Stellarium
Web
(
https://stellarium-web.org
)
,
set the observing location
to Toronto and the
time
to an evening in March 2023. Set the
viewing options
for constellations (on), landscape (on),
atmosphere (off for better seeing), deep sky objects (on).
In
View Settings
in the upper left corner set Ecliptic Line on. Fast forward the time controls by
holding the cursor over the arrows for minutes or hours. Scroll the mouse wheel to zoom in and out
and notice how the FOV (field of view) changes. Drag the mouse to look in different horizon
directions. Click on various objects (planets, stars, star clusters, galaxies) and read the
information panel appearing in the upper left. Center on the object by clicking on this
button,
then zoom on the centered object.
Part 1: Virtual Observations of Planets in Fall 2023
In your report state all planets that are above the horizon for your choice of an evening time and
date (in Fall 2023 semester). Write down their Stellarium magnitudes and distances from Earth (in
A.U.). Take a screenshot of Stellarium
Web
(with FOV between about 90
o
and 120
o
) that shows the
planets, the ecliptic line, the date and time of your virtual observation, and insert it in your report.
Jupiter and its Galilean moons.
Set the date and time to see Jupiter above the horizon, and turn off the atmosphere to darken
the sky.
Center on the planet. Zoom in the field of view to see details on Jupiter and its moons.
To
observe Jupiter’s rotation
click and hold the pointer on the minutes to fast-forward time.
Measure and record how much time the Great Red Spot needs to transit (to cross the visible
disk of Jupiter)
.
Adjust the zoom (the FOV) to
observe the orbital motions of the Galilean moons
(Io, Europa,
Ganymede and Callisto) and take a screenshot to insert in this part of your report.
Measure
the approximate transit times
of each moon (the time it takes to go across Jupiter) as you fast-
forward the minutes. Record your results in Table 1.
Explore the 4 Galilean Moons.
After recording the transit times record each moon’s radius, as
shown in Stellarium
Web
. Compare to Earth’s
Moon radius of 1,737 km
by showing the ratio of
each Jupiter’s Moon radius to Earth’s Moon’s radius. Ex., if a moon’s radius is 1560 km, you will
show the ratio of 0.90 in the table. (Round-off to 2 digits after the decimal point.)
Table 1
(adjust the column sizes as needed)
Jupiter’s moon
Io
Europa
Ganymede
Callisto
Time for Transit
(hrs:min)
Radius (km)
Jupiter’s moon
radius to Earth’s
Moon radius
Surface
Features seen
in Stellarium
Web
Course Project - Choice 4
Prof. M. Nenkova
2
INX300: Astronomy
Seneca College
2023
Write a paragraph summarizing the similarities and differences among these moons of Jupiter.
You will have to use external references (
https://solarsystem.nasa.gov/moons/jupiter-
moons/in-depth/
and or the textbook). Cite them in-text, and list them at the end of your work
in APA format.
Part 2: Analysis of Stars in a Constellation
Set the date and time for a fall evening in Toronto (or another location of your choice). Have FOV
about 100
o
for a realistic representation of what you could see in the sky if you were outside at the
set location and time
.
When you click on a star you will see the information panel with the star’s
names in various catalogues (see Fig.2). Under the star’s name is the apparent magnitude, distance
(in light years) and spectral type of the star.
Fig. 2 Screenshot of the night sky in Stellarium
Web
with selection of a bright star.
Explanation of stellar properties that you will virtually “measure” in Stellarium
Web
:
The
apparent brightness
of stars is measured in apparent visual magnitudes, denoted with the small
letter
m
. Stellarium
Web
lists the apparent magnitude, as seen in the sky. This is different than the
intrinsic power of stars, called luminosity. A star may appear dim, but this could be because the star is
far away, not because the star is not powerful. The
apparent magnitude scale
introduced by the
Ancient Greek astronomers has numbers increasing inversely to brightness. The brightest stars have
small numbers for apparent magnitudes (typically less than m=2.5), while the faintest stars, visible by
a person with perfect vision, have apparent magnitude of m=6.0.
A number of bright stars and
planets have m=0.0 and even negative magnitudes (see
Fig.17.2 in the OpenStax
astronomy
Course Project - Choice 4
Prof. M. Nenkova
3
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INX300: Astronomy
Seneca College
2023
textbook). Traditionally, the brightest star seen in a constellation is labelled with the Greek letter
alpha (
), the second brightest is beta (
), and so on.
Stars are classified by their temperature and luminosity in the
Hertzsprung-Russel diagram
(H-R
diagram) – an essential diagram in stellar astronomy. You can use this
interactive H-R diagram
to
visualize and compare stars:
https://astronomy.nmsu.edu/geas/labs/hrde/hrd_explorer.html
The
Spectral Type
information in Stellarium
Web
shows the
spectral class related to temperature
(ex.
F5, G3), and the
luminosity class
(a Roman numeral, sometimes accompanied by a small letter,
denoting further details in the stellar spectrum). For example, if you click on the brightest star
Sirius (a CMa) you will see its spectral type A1V. The spectral type of Regulus (
Leo) is B8IVn.
Luminosity class V is for Main Sequence stars (the main stage of stellar evolution), class IV is
intermediate between Main Sequence and Giants, while luminosity classes I to III are for giant and
supergiant stars, many of which are in later stages of evolution.
What you have to do in Part 2
:
Begin with brief introduction to explain the goal of the exercise and how to achieve it.
Set an evening time in March 2023 and turn off the atmosphere option to darken the sky.
Take a
screenshot of one constellation that you will use to collect star data
and insert it in your report.
Recall that constellations are defined areas in the sky (not just a pattern of bright stars).
Collect data from Stellarium
Web
for about 20 – 30 stars in that constellation
and record them in
an Excel table, as shown in the example of Table 2. Record the given data for apparent magnitude
(
m
), distance (
d
in Light Years) and
Spectral Type
for your selection of stars.
Table 2.
Sample data for “observed” stars in one constellation (Canis Major in this example)
Observed
Stars
Apparent
Magnitude, m
Distance
d (LY)
Spectral
Type
Sirius (
CMa)
-1.09
8.6
A1V
Wezen (
CMa)
1.96
1606.72
F8Ia
19 CMa
4.72
96.5
F1.5V
…
…
…
…
Continue until you fill in the table with data for about 30 stars. Do not include stars without a
given distance d (LY). Usually the brightest stars are from classes A and B, but you need to search
for stars of Spectral types F, G, K, or M for better representation of star types.
Calculate additional properties
in columns appended to the table above –
Spectral class code
(used for plotting), distance
D
in
units of parsecs
(1 pc = 3.26 LY), and absolute magnitude
M
.
The Spectral Class code
is a number corresponding to the spectral class, using the following rule:
The seven spectral classes O, B, A, F, G, K, M are labelled by numbers from 0 to 70, while each class
is divided by subtypes from 0 to 9. This means that spectral class O has codes from 0 to 9; class B
Course Project - Choice 4
Prof. M. Nenkova
4
INX300: Astronomy
Seneca College
2023
has 10 – 19, class A has 20 – 29; class F has 30 – 39; class G has 40 – 49; class K has 50 – 59; class M
has 60 – 69. For example, Sirius’s spectral type A1V will be coded with the number 21.
Absolute magnitude
M
is defined as the apparent magnitude of stars if they were placed at the
same distance of 10 pc from Earth. This is a way to compare stars by their intrinsic brightness,
or luminosity, which is an important stellar parameter.
It is convenient to write the formula for absolute magnitude in Excel and fill in the table column
by copying the formulas. From the given apparent magnitude
m
and distance in parsecs
D
,
calculate the absolute magnitude
M
using the equation:
M = m – 5*log
D + 5.
See the example in Table 3 with calculated properties for each of the observed stars in the
sample.
Table 3
Calculated properties of the sample stars in Table 2.
Observed
Stars
Apparent
Magnitude,
m
Distance
d (LY)
Spectral
Type
Distance
D (pc)
Spectral
Class
Code
Absolute
Magnitude,
M
Sirius (
CMa)
-1.09
8.6
A1V
2.64
21
1.80
Wezen (
CMa)
1.96
1606.72
F8Ia
492.86
38
-6.50
19 CMa
4.72
96.5
F1.5V
29.6
31.5
2.36
….
…
…
…
…
…
…
Plot the diagram of Spectral Class Code (on the x-axis) vs. Absolute Magnitude M (on the y-axis)
for the stars in your sample.
This is a form of the Hertzsprung-Russell (H-R) diagram – the most
essential diagram in stellar astronomy. Use a scatter plot format and plot the y-axis values in
reverse order (because the magnitude numbers increase in inverse relation to brightness). Set the
range of values on the x and y axes to avoid large empty areas in the plot.
In your report include the data table and the plotted diagram with labelled axes.
Discuss your findings in a concluding paragraph and compare to the expected H-R diagram:
consider the types of stars represented in the diagram, whether they are Main Sequence or Red
Giants, whether they are bright and massive (upper Main Sequence) or not, what their properties
are.
Part 3: Analysis of an Open Star Cluster
Select one open star cluster from the following list
and find it with the search function in
Stellarium
Web
. Each cluster has different labels in different catalogues (M is for the Messier catalogue,
NGC for the New General Catalogue):
M35 (or NGC 2168), M38 (or NGC
1912), M41 (The Little Beehive, NGC 2287), M44 (The Beehive
Cluster, NGC 2632), M45 (The Pleiades), M67 (The Pac-Man cluster, NGC 2682), NGC 457 (The Owl).
Course Project - Choice 4
Prof. M. Nenkova
5
INX300: Astronomy
Seneca College
2023
Begin with an introductory sentence where you explain what open star clusters are and how their
H-R diagrams are expected to look like. State your choice of cluster and the data you will collect to
compare the stars and plot the H-R diagram. Illustrate with a screenshot.
Fig. 3 Sample screenshot of an open cluster M67 (The Pac-Man).
Collect data for about 20-30 cluster stars in an Excel table, like
Table 4
in the example. You need
stars with both magnitude and spectral type shown in Stellarium
Web
.
Aim at collecting data for
types beyond the bright B and A, like Spectral types F, G, K, or M for better representation.
Search for dimmer stars in the cluster by zooming in the cluster.
Since the distance is similar to the stars in a cluster, there is no need to convert to absolute
magnitudes, and you can plot the dependence of Spectral type code vs. apparent magnitudes.
Note that the distances have to be similar, as these are stars in the same cluster. If you see a very
different distance for a star – do not include it as it is not part of the cluster.
Table 4.
Star properties in an open cluster (example with a few stars in M45).
Observed
Stars
Apparent
Magnitude, m
Distance
d (LY)
Spectral
Type
Spectral
Class Code
24 Tau
6.25
438.10
A0V
20
HD 23511
9.19
439.66
F5V
35
V855 Tau
9.56
430.92
F9V
39
….
…
…
…
…
Plot the H-R diagram of spectral class code
(on the x-axis)
vs. apparent magnitude m
(on the y-axis
in inverse order) for the stars in your sample. Include the table in your work along with the H-R plot
for the cluster.
Discuss your findings
in a concluding paragraph, as you did in Part 2. Compare your plot to the
expected H-R diagram for an open cluster, and to the plot you obtained in Part 2 (where the stars of
the sample were not related).
Course Project - Choice 4
Prof. M. Nenkova
6
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