Problem set 4 for ASTR 323/423: The Local Universe

Due 5pm, Tues Oct 27.

Individual problems for grad students, group problems for undergrads (2 or 3 students per group):

Galaxy classification using real SDSS data. In this homework you will select a sample of galaxies in a cluster environment, and one in a very low-density environment such as a void, and compare their colors and absolute magnitudes.

(1) go to http://cas.sdss.org/astrodr7/en and read some documentation (under help and tutorials). For example, click on Archive Intro and then on Cooking with Sloan, browse the examples. If you have no experience with SQL, do the SQL tutorial.

(2) Design your experiment:
(a) Recall from class that if we are not careful about selection biases, it is easy to make the faulty conclusion that the percentage of red galaxies increases very fast with redshift. How do you propose to avoid this bias?
(b) First, read the introduction to Chapter 8 in the Sparke and Gallagher (pages 314 to 321, here). You may choose to find a rich cluster and a low-density region either from the astronomical literature (remember that SDSS is in the North!) or by downloading your own "slice of the universe" from the SDSS archive and pinpointing high and low-density regions by plotting redshift against RA. Give your SQL query.
If you use the astronomical literature, give references. If you do this yourself or if the reference does not make a 'slice of the universe' plot (eg the pie plot in Fig 1 of de Lapparent, Geller and Huchra 1986), make the plot for both cluster and void. Think about how to plot the diagram to give it a "pie" shape.
(c) Read the documentation at http://www.sdss.org/dr7/algorithms/index.html about which of the many different SDSS magnitudes you should choose to download to measure colors of your galaxies. Explain the Petrosian algorithm and use Petrosian magnitudes in your analysis.
(d) How big should your sample be? Here I mean both how much of the sky should you use, and how many galaxies should be in the sample. Discuss what things you took into account in making your decision.

(3) Make histograms of the color distribution in your dense and under-dense environments. Do they agree with plots such as those shown in class notes?

(4) (Graduate students only). Measure the density of the environment in your two samples. For this you should read some papers in the literature and choose what you consider the best density estimate. Justify your choice. Do your color histograms agree with Blanton's (or others) for equivalent density values?