Homework 3: Stars and radiation
This homework must be submitted on paper;
you may write out your work on paper,
or type it into some word processor and then print it.
Either way, staple together all pages and write your name
legibly at the top of each page.
One question on this homework involves data from the Gaia DR3 Archive,
which you can find at
- Bob and Rey are examining the properties of stars in the
Gaia DR3 database. They start with data from a single query:
- parallax > 20 milliarcsec
- apparent g mag < 15
However, they focus on different subsets. Bob likes the color
yellow, so he chooses all the stars with colors
1 ≤ (Bp - Rp) ≤ 2.
Rey prefers red, so she chooses all the stars with colors
3 ≤ (Bp - Rp) ≤ 5.
- How many stars are in each dataset?
- Bob says "My subset has more stars than yours -- which proves
that yellow stars must be more common in the Milky Way
than red stars."
Rey states that this might not be true, and suggests that they
make a particular graph to find out.
Make a graph showing the number of stars in shells of radius
1 pc, as a function of distance, in pc;
make the horizontal axis limits from 0 to 15 pc.
Plot both subsets on the graph, properly labelled.
- Based on this graph, who (if either) is correct?
- Now make a second graph, this time covering the range
of distance from 0 to 50 pc.
Can you explain the difference in the behavior
of the yellow and red stars?
- In this second graph, what is happening to the red stars
at a distance of about 25 pc?
- Based on all this information, was Bob's claim true or false?
Explain your reasoning.
- How long will it take a photon created at the center of the Sun
to escape to the surface? That depends crucially on the
mean free path (mfp) of the photon. In class, we made the simple
assumption that the mfp was constant throughout the Sun,
and equal to the mfp of the photosphere. In this problem,
we'll choose a different value for mfp.
Based on values from
Watson, W. D., ApJ 161, 139 (1970),
let's assume that material in the solar core has
- opacity κ = 20 m2/kg
- density ρ = 2 x 104 kg/m3
- What is the mean free path of a photon under these conditions?
- Assume that this mfp is constant throughout the Sun.
How many steps will it take the photon to reach the surface
of the Sun?
- How long will it take the photon to make this journey?
- How does this compare to the time it would take a photon
to make the trip, if it were travelling through a vacuum?
Bonus! Are there any natural materials on the surface
of the Earth with densities larger than that of the solar core?
- As the current news tells us, forest fires can fill the air with
smoke, which contains many small particles. Let's see how
those particles might decrease the visibility.
We will make lots and lots of over-simplifications.
Consider soot particles to be spheres of diameter d = 1 micron
and density ρ = 100 kg/m3.
We'll assume that light is absorbed if it touches one such sphere.
- What is the cross section area σ of a single
soot particle?
- A fire emits soot particles into the air, causing an average
of n = 1010 particles per cubic meter.
What is the mean free path of photons through this
soot-filled air?
Ranger Rick lives in a fire-control tower, elevated above the
treetops. At night, he uses his trusty 10-watt flashlight
to send messages in Morse code to his neighbor,
Ranger Ruby.
Assume that only 2 percent of the flashlight's
power is emitted as photons of visible light (this is
reasonable -- most turns into heat),
and that the light is emitted isotropically
(not so reasonable, but okay within an order of magnitude).
Assume further that the human eye can detect a source
of flux 109 photons per second per square meter
(this is roughly correct).
- Long before this forest fire,
when the air was perfectly clean,
how far could a person be from Rick and still
detect his messages?
- Once the air has filled with soot,
what is the maximum distance at which a person could
detect Rick's flashes of light?
- The fact that stars are hotter on the inside and cooler on the
outside is responsible for the phenomenon of limb darkening.
As explained in your textbook, one can with a few assumptions
derive a simple functional form for the intensity of a
star's disk at some distance away from its center.
Let's see how well that form matches measurements
of a real star --- our Sun.
Use the image
sun_big_bear.fits
as our starting point. It is an image of the Sun in
broadband optical light, taken by astronomers at the
Big Bear Solar Observatory.
The image is in FITS format, which can analyzed with
many different astronomical image processing packages;
among them is a package called
ds9.
- Download the image to your own computer. Display it,
using ds9 or any other program of your choice.
Verify that it looks like the Sun, and that it is
brighter at the center than the edges.
- Measure data along a horizontal slice through the middle
of the Sun, yielding a set of about 830 or so
pairs of values: (pixel x coord, intensity).
You may use any software you wish to do this;
instructions for using ds9 follow.
- run ds9
- display the image using
File -> Open -> sun_big_bear.fits
- prepare to measure, by choosing
Edit -> Region
- in order to make a slice through the image, choose
Region -> Shape -> Projection
- left-click and drag a line horizontally across the equator
of the solar image. A new window with a graph
showing intensity as a function of position should pop up.
- In this new window, save the data via
File -> Save Data -> (type a name here) .
This should create a text file with two columns,
pixel value and intensity.
- Make a plot showing intensity as a function of pixel position.
Be sure to put proper labels on the axes
- Now, compute the angle θ away from the center
of the disk for each measured point. As shown in the figure
above, this angle
should be 0 at the center of the disk, and 90 degrees
(or π/2 radians) at the edge of the disk.
Make a second plot, this one showing intensity as
a function of cos(θ).
The x-axis should run from 0 to 1.
- On this graph, you should see a nearly straight line
running down and to the left, and then
perhaps dropping more rapidly toward zero.
Fit a line to the linear portion of the graph,
and measure the slope.
- As discussed in class and in section 9.3 of your text,
theory states that under certain assumptions,
the measured intensity should vary in a simple
manner:
I(θ) = (2/5) I0 + (3/5) I0 cos(θ)
Does your data follow this simple equation?
Discuss.