Astr 328 Homework #2
1. Distance ladder
(this is Problem 7.6 from Binney & Merrifield's "Galactic
Astronomy", on
reserve in the library)
Suppose
that a series of four different standard candles are used to step out
along the cosmic distance ladder as far as the Hubble flow, and that
the calibration of each standard candle carries an uncertainty of 0.2
magnitudes. Show that, by changing the calibration fo each step within
the range allowed by its uncertainty, it is possible to derive values
for the Hubble constant that lie anywhere between ~ 0.7 and ~ 1.4 of
the nominal value.
2. Calibrating Tully-Fisher
(problem courtesy Heather Morrison)
To use the Tully-Fisher relationship
to estimate distances to distant
galaxies, we need to first calibrate it using nearby spiral galaxies
with
known distances. Here is a list of the galaxies generally used to
calibrate
TF:
| Galaxy |
Absolute I magnitude |
Apparent I magnitude |
Observed Log10(W20) |
| NGC 224 |
-23.11 +/- 0.18 |
|
2.734 +/- 0.028 |
| NGC 598 |
-20.31 +/- 0.11 |
|
2.305 +/- 0.11 |
| NGC 925 |
|
9.17 +/- 0.27 |
2.339 +/- 0.049 |
| NGC 1365 |
-23.40 +/- 0.12 |
|
2.628 +/- 0.035 |
| NGC 1425 |
|
9.42 +/- 0.05 |
2.575 +/- 0.041 |
| NGC 2090 |
|
9.15 +/- 0.07 |
2.501 +/- 0.035 |
| NGC 2403 |
-20.38 +/- 0.28 |
|
2.408 +/- 0.059 |
| NGC 2541 |
|
10.60 +/- 0.10 |
2.298 +/- 0.049 |
| NGC 3031 |
|
5.30 +/- 0.15 |
2.647 +/- 0.034 |
| NGC 3198 |
-21.56 +/- 0.08 |
|
2.507 +/- 0.032 |
| NGC 3319 |
|
10.45 +/- 0.07 |
2.342 +/- 0.048 |
| NGC 3351 |
-21.64 +/- 0.09 |
|
2.435 +/- 0.047 |
| NGC 3368 |
-22.31 +/- 0.11 |
|
2.564 +/- 0.036 |
| NGC 3621 |
|
8.07 +/- 0.05 |
2.453 +/- 0.035 |
| NGC 3627 |
-22.66 +/- 0.18 |
|
2.583 +/- 0.026 |
| NGC 4414 |
-22.61 +/- 0.11 |
|
2.600 +/- 0.039 |
| NGC 4535 |
-22.28 +/- 0.08 |
|
2.464 +/- 0.038 |
| NGC 4536 |
-21.95 +/- 0.13 |
|
2.529 +/- 0.030 |
| NGC 4548 |
|
8.87 +/- 0.05 |
2.406 +/- 0.046 |
| NGC 4725 |
-22.77 +/- 0.09 |
|
2.562 +/- 0.026 |
| NGC 7331 |
-23.38 +/- 0.11 |
|
2.713 +/- 0.021 |
Step 1. Get
distances:
For galaxies with only
apparent I magnitudes, go to the
home page of the HST
Distance Scale Key Project Team and grab the Cepheid properties for
each galaxy. For each galaxy, plot a period-luminosity diagram for its
Cepheids, and fit it to the calibrated Cepheid period-luminosity
relationship
given in class. Fitting the zero point of the relationship gives you
the
distance modulus m-M which will let you convert apparent I mag to
absolute
I mag.
Keep track of and
propogate your errors! Errors in the
distance modulus lead to errors in the absoute magnitude.
Step 2. Correct velocities for
inclination:
For each galaxy, look at its
image in the NASA
Extragalactic Database. From the images, estimate the inclination
by
measuring the ratio of the major to minor axis of the galaxy, and then
using the relationship i=cos-1(b/a). The use the inclination
to correct the velocity width.
Keep track of and propogate your errors! Errors in the
inclination
lead to errors in the velocity width.
Step 3. Plot a Tully-Fisher
relationship of absolute I mag vs
logW20:
Fit the slope and the
zeropoint of the Tully Fisher relationship.
Give your fit parameters, plus errors.
Step 4: Think and discuss:
- given your calibration, in the best case, how accurately can
you
get
distances to distant spirals.
- discuss what you see as the dominant sources of error in the
Tully-Fisher
calibration.
- discuss observations you might do to reduce these errors.
3. The Difference between "Near" and "Far"
(problem also courtesy Heather Morrison)
In order to give you a
feel for the
problems associated with using galaxies which are not distant enough to
be in the Hubble flow for deriving H0, here is a
"slice of the Virgo consortium universe". These data come from a
massive simulation of a cube of the universe measuring 150 Mpc on a
side. The data give the x, y, and z coordinates [in Mpc] of each galaxy
in the simulation, their line-of-sight velocity [in km/s], and their
star formation rate [in Msun/yr]. The slice has been taken by
restricting the x coordinates of the galaxies, so plot y vs z to see
the large scale structure in the simulation slice.
Assume that the Sun is at the
coordinate (50,0,0), and calculate the inferred Hubble constant from
each of the following samples:
- galaxies closer than 20 Mpc from the Sun,
- galaxies between 25 and 75 Mpc from the Sun, and
- galaxies further than 100 Mpc from the Sun
To do this, use the known distance of
the galaxies (calculated from the coordinates) and the line-of-sight
velocity. What do you estimate for the value of the Hubble constant
used to produce the simulation?
Comment on the accuracy of using the
two relatively nearby samples: how much of an error does the peculiar
velocity of each galaxy add?
Now repeat this using only elliptical
galaxies (star formation rate = 0). Are your results different? Why?
4. Grad Student Project: Bias in Tully-Fisher estimates of H0.
Write
a code to simulate the effects of Mahlmquist bias. Assume a value for
the Hubble constant, and for the Tully-Fisher relationship. Lay down
galaxies randomly in space and in circular velocity, then assign them a
luminosity based on their circular velocity, and an apparent magnitude
and a recession velocity based on their distance. Then "build" a sample
of galaxies out to some limiting apparent magnitude, and use it to
derive H0. Did you get out what you put in (hopefully, yes).
Now do the same thing, but this time
add a random dispersion in the calibration of the T-F relationship of
0.2 magnitudes. Then 0.4, then 0.7. How does your derived H0
change?
Now, using a fixed dispersion of 0.4 magnitude in your T-F
relationship, vary your limiting magnitude. How does your derived H0
change?
Explain why you see these effects.
Groupwork
(The rules of this project are
the same as in HW #1)
Use the fundamental plane to derive the distance to the Coma
cluster. Make sure
you demonstrate both calibrating and using the fundamental plane, and
that you include an uncertainty calculation. Then do a literature
search and find distances to the Coma cluster derived using at least
two independant methods. Describe those other methods and compare their
answer to your result. Which method (yours or others) do you find most
reliable, and why?