A Simple Diagram
To give you a taste of how we go about proving the universe is expanding, and
to give you some practice using SkyServer for astronomy research, this page will
show you how to make a simple Hubble diagram, with only six galaxies.
Distances
The first step in creating a Hubble diagram is to plot the distances to several
galaxies. Unfortunately, measuring distances in astronomy is extremely difficult; but
fortunately, all you need for a Hubble diagram are relative distances to galaxies,
not necessarily their actual or "absolute" distances measured in miles or light-years.
Relative distances are measured with respect to a convenient but arbitrary standard
like the Andromeda galaxy or the Virgo cluster: we can say that the
Perseus Cluster is five times the distance of the Virgo Cluster, for example.
To measure relative distance, astronomers need some way to compare galaxies.
Since galaxies are so similar, astronomers assume that they all have the same
average properties, such as brightness and size. When we assume that two
galaxies' intrinsic brightness and size are the same, any differences in
brightness or size between them are due only to differing distances away from
us. For example, we can assume that a galaxy that appears twice as large as
another galaxy is half as far from us.
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| Nearby galaxies appear large and
bright, while distant galaxies appear small and faint. |
One of the easiest ways to compare galaxies is to compare their magnitudes. Magnitude
can be used to measure the brightness of any celestial object, including stars and galaxies.
In magnitude, higher numbers correspond to fainter objects, lower numbers to brighter
objects; the very brightest objects have negative magnitudes. An increase of one
number in magnitude corresponds to an increase in brightness by a factor of about
2.51 - a magnitude four object is 2.51 times brighter than a magnitude five object.
The sun has magnitude -26. The brightest star in the Northern sky, Sirius, has
magnitude -1.5. The brightest galaxy is the Andromeda Galaxy, which has magnitude 3.5.
The faintest object you can see with your eyes has a magnitude of about 6. The faintest
object the SDSS telescope can see has a magnitude of about 23. SDSS measures magnitudes
in five wavelengths of light: ultraviolet (u), green (g), red (r), two infrared
wavelengths (i and z).
Exercise 1: In this exercise, you will find the magnitudes
of six galaxies in the SDSS database. The table below shows the object IDs
and positions (right ascension and declination) of the six galaxies.
To find a galaxy's information, click on the object ID. When you click
on the object ID of the first galaxy, the Object Explorer
tool will open in a new window, displaying the galaxy's data. When you
click on another object ID, the Object Explorer will load the new galaxy's
data in the same window.
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Just to the right of the galaxy's picture in the Object Explorer, you will see five
data entries: u,g,r,i,z. These are the magnitudes of the galaxy in the SDSS's
five wavelengths. Write down one of the magnitudes (you choose which one). Then,
scroll down in the left-hand frame and click "Save in Notes" to save the
galaxy in your SkyServer notebook.
You may choose any one of the five wavelengths (u,g,r,i,z), but choose the
same wavelength for each galaxy. After you save the galaxies in your notebook,
you may see them again by clicking "Show Notes."
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If we assume that all six galaxies emit roughly the same amount of light, then
the differences in their magnitudes are due only to their different distances from us.
If one galaxy has a higher magnitude than another, then we assume that it must be
farther away.
In the next section of this project, you will find out how to turn the
magnitudes into actual relative distances. But for now, you can use magnitudes to
substitute for distances when you make your simple Hubble diagram.
Question 1: Why can magnitudes be used as a substitute
for distances in the Hubble diagram?
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Redshifts
Redshift is a measure of how fast a celestial object is moving relative to us.
If you have ever stood by the side of the road as a car passed by, you have a
sense for what redshift is. As the car moves toward you, the pitch of its engine
sounds higher than the engine of a stationary car. As the car moves away from you,
the engine's pitch is lower than for the engine of a stationary car. The reason for
this change is the Doppler effect, named for its discoverer, Austrian physicist
Christian Doppler. As the car moves toward you, the sound waves that carry the
sound of its engine are compressed. As the car moves away from you, these
sound waves are stretched.
The same effect happens with light waves. If an object
moves toward us, the light waves it emits will be compressed - the
wavelength will be shorter, so the light will become bluer. If an object
moves away from us, its light waves will be stretched, and will become
redder. The degree of "redshift" or "blueshift" is directly related to the
object's speed in the direction we are looking. The animation below schematically
shows what a redshift and blueshift might look like, again using a car as an
example. The speeds of cars are far too small for us to notice any redshift or
blueshift. But galaxies are moving fast enough with respect to us that
we can see a noticeable shift.
Astronomers can measure exactly how much redshift or blueshift a galaxy has by
looking at its spectrum. A spectrum (the plural is "spectra") measures how much light
an object emits as a function of wavelength. The spectra of stars and galaxies almost
always show a series of discrete lines that form when certain atoms or molecules emit
or absorb light. These "spectral emission and absorption lines" always appear at the
same wavelengths, so they make a convenient marker for redshift or blueshift. If
astronomers look at a galaxy and see one line at a longer wavelength than it would be on
Earth, they would know that the galaxy was redshifted and moving away from us. If they see
the same lines at shorter wavelengths, they would know that the galaxy was blueshifted and
moving toward us.
By the end of the survey, the SDSS will have looked at the spectra of more than one
million galaxies. Each spectrum is run through a computer program that automatically
determines the redshift. The program outputs an image like the one below, with spectral
lines marked. The "z" number at the bottom of the image shows the redshift. Positive
z indicates redshift and negative z indicates blueshift.
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Click on the image to see it full size |
Spectra for galaxies are stored in the SDSS's spectroscopic database. They are
organized into plates and fibers, corresponding to the plate and fiber used by the
SDSS spectrometer to collect them.
Exercise 2: Find redshifts for the galaxies
that you used in Exercise 1. Return to the Object Explorer using the
links below or by clicking "Show Notes" and clicking on each galaxy
in your SkyServer notebook. Scroll down in the main window until you
see the galaxy's spectrum. Just above the spectrum, you will see
a data entry for "z". This is NOT the z magnitude from Exercise 1 -
it is the galaxy's redshift. Write down the redshift (z) value for each galaxy.
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Making the Diagram
Now that you have magnitudes and redshifts for six galaxies, you are ready to make a
Hubble diagram. Use a graphing program such as Microsoft Excel to make your diagram. The
instructions below tell you how to make the graph in Excel; to use other graphing programs,
you would follow similar steps.
Exercise 3: Follow the steps below to make a simple Hubble diagram for
six galaxies.
Click on a box in the Excel spreadsheet. Enter the redshift of one galaxy from
Exercise 2. Hit the right arrow key, and the cursor will move to the box to the
right of the first redshift. In this box, enter the magnitude of the same galaxy. Click on
the box below the first redshift's box to move the cursor to the next line. Repeat these steps to
enter the redshifts and magnitudes of each of the six galaxies. You will end up with
two columns of data, one for redshift and one for magnitude.
When you have finished entering the data, click on the upper-left box and drag the mouse
to highlight all boxes that contain data. Then click the chart wizard, the stylized bar graph in the
tools bar at the top of the page. In the chart wizard dialog box, select "XY (scatter)," then
click next. On the next screen, click next again. On the third screen, give your chart a
title, then label the x-axis "Redshift" in the Value X axis box, and the y-axis "Magnitude" in
the Value Y axis box. Click next, and then on the next screen, click finish.
A graph of your data will appear on the same page. Click on the x-axis, and the axis will
become highlighted. (If some other part of the graph is highlighted instead, click outside
the graph and click the x-axis again.) Double-click the x-axis to bring up the "Format Axis"
dialog box. Click the scale tab at the top of the window, then adjust the scale to be:
minimum 0, maximum 0.35. Double-click the y-axis, then change the y-axis scale so that you
can see all six data points clearly. Your graph should show that as magnitude increases,
redshift increases. In other words, your diagram should show that fainter galaxies
have larger redshifts.
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Do your data really show a linear relationship between magnitude and redshift? When
scientists try to find relationships in data, they often speak of a "model": in this case,
a linear model relates magnitude to redshift. Scientists often speak of the "fit" between
the data and the model. The fit can be described with a percentage that shows how close
the points lie to the place where they should lie if the model were true. Because every
experiment has some error and every observation has some statistical uncertainty, the fit
is never 100% accurate. Generally, scientists consider a fit above 90% to show that the
model accurately predicts the data.
Exercise 4: Find the fit of a linear model in your Hubble diagram.
Excel (or another plotting program) can find the fit automatically using a "trendline."
The program tries to find a straight line that passes as close to all the data points as
possible, then measures how far each point falls from this straight line.
In Excel, click on any of the data points, and all the points should be highlighted.
Under the Chart menu, select "Add Trendline." (If "Add Trendline" is not visible, click
the double arrows at the bottom of the Chart menu.) Click the Options tab, then check "Display
R-squared value on chart." (R-squared is a mathematical definition of fit.) Click OK.
A number should appear in the plot area. Click it, and drag it to a part of the chart
where you can read it clearly.
Multiply the R-squared value by 100 to find the fit as a percentage. What is this number?
Is a straight line a good fit to your data? |
Another Hubble Diagram
You have now constructed a simple Hubble diagram containing six galaxies. The data in the
diagram fit well with a straight line. Now, try making the same diagram with different
galaxies.
Exercise 5: Repeat Exercises 1 and 2 for the following galaxies:
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Exercise 6: Repeat Exercise 3 for these six galaxies. Graph these
data on the same scale you used in Exercise 3. What do your data look like now? Repeat
Exercise 4. What is the percentage fit of the data? |
In Exercise 6, you used the same method you used in Exercises 3 and 4: you graphed
magnitude as a function of redshift. So why does the graph you got look so different? The answer
is that the assumption that underlies both graphs is sometimes true, and sometimes false.
To make the Hubble diagrams, you assumed that magnitude could substitute for distance,
which in turn required you to assume that all galaxies had the same average brightness.
Galaxies do have average properties. But if every galaxy were exactly the same,
astronomy would be quite a boring subject. Galaxies also show a great deal of variation, and
many astronomers make their careers studying these variations. Unfortunately, variations
in galaxy properties make constructing a Hubble diagram trickier than simply graphing
magnitude and redshift.
In the next section, you will learn some other ways astronomers measure relative
distance to other galaxies. In the section after that, you will learn more about how
to measure redshift. Then, you will use this knowledge to construct a better Hubble
diagram, one that does not fall into the trap that this simple diagram fell into.
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