SDSS Bright Red Galaxy Selection



This page documents the results of an initial exploration of the simulated data using the bright red galaxy algorithm as written down in the document we submitted to Steve Kent in 1995-1996, found here.


Summary of Results

The primary result of this exploration is that we depend, in a very serious and fundamental way, on the effectiveness of our photometric redshift. The current polynomial implementation is quite sensitive to both noise and to its calibration. It will be well worth our while to explore more fully this idea of photometric redshift: how to calibrate the relation, how to apply the relation. (See Photometric Redshift.)

Discussion on sdss-clusters has made it clear that instead of Petroisan magnitudes or 3" aperture magnitudes we will use some form a best-fit model magnitudes to form colors. This is in effect a matched filter way of optimally finding the colors of faint objects.

The simulation test data have several problems. The galaxies were emplaced with magnitudes too bright by 2 mags, colors that are too red by 0.25 mags. The k-correction is too steep by a factor of 2. (See The Test Data.)

An exploration with a real field galaxy redshift survey suggests that our preliminary estimate of 10% of the main galaxy survey remains reasonable, and that 2.5 sigma cuts will provide the target 7.5 BRG/sq-degree. (See Real Data.)

Our document to Steve Kent has several parameter that are incorrect. A search of the literature has produced better numbers. (See The Algorithm Parameters.)

The current testing group includes: Neta Bahcall, Francisco Castander, Andy Connolly, Bob Nichols, Marc Postman, Michael Strauss, and Jim Annis. (See The Testing Group for what we are looking into.)


How to Run the Code

A coded version of the algorithm may be found in

        /data/dp2.8/yanny/targets2/target_algs/redGals.tcl
It may be run by loging in to sdssdp2 and
unix> cd /data/dp2.8/yanny/targets2/
unix> setup astrotools
unix> astrotools
astls> source target_algs/redGal.tcl
astls> set chain [fits2Schema tsCOBJC-000581-1.fit COBJC] 
astls> select_bigRed $chain
It returns a chain containing the selected bright red galaxies.


The Galaxies Selected

The current selection code finds 14 BRG in the 2. sq-degree field tsCOBJC-000581-6.fit. The following color-magnitude diagram shows all 5460 objects called galaxies in this field. The line shows the faintest BRG allowed by our real BRG cuts as it moves out in redshift. Most of the objects above this line would be selected. The circled points show the actually selected points. The vast reduction was done by two tricks: bringing the apparent magnitude cut down to r=16.85, and pushing the absolute magnitude cut up to M_r = -25.31.

In the entire run of 100 sq-degrees we find 1150 BRG, for 11.5 per sq-degree. The population has the following characteristics:

			median	clipped st. dev.
	phot z		0.49	     0.14
	real z		0.35	     0.05
	M_r	       -26.13	     0.87
	Pet r		16.69	     0.26


The Algorithm Parameters

The idea for the cuts is n-sigma downward from the mean BCE magnitude, and n-sigma blueward of the mean BCE g-r color in the restframe.

BCE     
M_r     = -22.3         Schneider et al., inside 26 kpc diameter aperture
        = -22.9                           corrected to "total" magnitude
sigma   = 0.33          Postman and Lauer

g-r     = 0.47          Schneider et al.
sigma   = 0.055         Schneider et al.
The M_r=-22.3 refers to a 26 kpc diameter aperture. The conversion to total or our Petrosian mag is roughly 0.6 mags. The measured standard deviation of BCE mags is 0.33, admittedly inside the 26 kpc aperture.

The aim is for 7.5 BRG per sq-degree. This translates to 10% of the total fibers allocated to galaxies.


Real Data


The Las Campanas Redshift Survey

Douglas Tucker has access to the Las Campanas Redshift Survey, and provided us with a data set that we can test the BRG selection on.

The data are redshifts and restframe b-R colors (R CCD and b APM blue magnitudes). The data cover 248 square degrees down to a magnitude limit of R=17.7, with a sampling factor of 0.7, and totals 7471 galaxies.

We use the cut parameters corresponding to that described above: in the R band, BCE M_R=-22.5, the total mag is M_R = -23.1, and use Postman and Lauer's observed B-R dispersion of 0.055 mags. Further, we assume that the mean BCE color is that of the E/S0 ridgeline, observed here to be b-R=1.35. We set the BCE cuts at 3 sigma, giving M_r = -22.13, and b-R=1.25.

Using that cut on the Los Companos survey data gives 320 objects. This is 1.8/sq-degree at R=17.7, 4.6 at R=18.7, and 12 at R=19.7. (The extrapolation to fainter magnitudes assumes a number count slope of 0.4 log#/mag.) The R=19.7 number is close to our actual limits. The total number, 12. objects per sq-degree is fine: we expect to have 5-10 objects per sq-degree.

The cuts are shown on the following graph, where the x-axis is absolute R mag, and the y-axis is b-R in the restframe.

If we ask how sensitive we are to changing the cuts we find the following:

Culmulative
                                                #/sq-degree
Bin             total   red     %red            R=17.7  R=18.7  R=19.7
< -22            286     179    62.59%           1.03    2.59    6.50
< -21.5         1265     665    52.57%           3.83    9.61   24.13
< -20           3134    1380    44.03%           7.95   19.95   50.08
< -20.5         5522    2232    40.42%          12.86   32.27   81.00

3-sigma cuts:
< -21.8          568     320    56.34%           1.84    4.63   11.61
2-sigma cuts
< -22.13         181     104    57.46%           0.60    1.50    3.77


Differential
                                                #/sq-degree
Bin             total   red     %red            R=17.7  R=18.7  R=19.7
< -22            286    179     62.59%          1.03     2.59    6.50
-22.0->-21.5     979    486     49.64%          2.80     7.03   17.64
-21.5->-21. 0   1869    715     38.26%          4.12    10.34   25.95
-21.0->-20.5    2388    852     35.68%          4.91    12.32   30.92

We proposed a number of 100,000 BRGs, 10% of the main galaxy survey. This works out to 7.5 per sq-degree. The Las Campanas data suggests we will achieve those numbers with 2.5 sigma cut, in line with what we expected.


The Test Data


Features of the Test Data

The simulated data has 3 times more ellipticals than spirals!

The simulated data ellipticals have a mean g-r=1.00. We expect closer to g-r=0.75.

The simulated data has a large population of hyperluminous red galaxies at z=0.5. This is due to a magnitude conversion error between David Weinberg's catalog and Brian Yanny's simulation.


Bright Red Galaxies in the Test Data

Of the 5810 unsaturated galaxies in a 2.0 sq-degree patch, 4114 are luminous enough, and 1883 are red enough. This is a factor of 125 more than our desired 7.5 per sq-degree.

A feature can be seen on the color magnitude diagram already shown above: there are not that many blue galaxies, and galaxies at r > 18 get red quite fast. I believe this is due to a k-correction that is much steeper than we expect.

The following plot shows the restframe color-absolute magnitude diagram based on the real redshift of each object. The objects meeting the selection critera (in the upper left) have a median redshift of z=0.47. This spray of objects are the simulated data's "hyperluminous galaxy" population.


Photometric Redshift

The current schemes for photometric redshift uses the u-g-r-i equation if all colors are available, and the g-r-i equation if not. The magnitudes that we feed in are 3" diameter aperture magnitudes, the fibermags. These are scaled to the Petrosian r magnitude in order to use Andy's equations.

A plot showing the photometric redshift vs. real redshift (both scaled by x10) shows the effectiveness of this scheme. The objects at 0 are stars. The line shows phot-z= real z. Excluding the stars, the mean difference photZ-realZ = 0.12, with standard deviation 0.08. The dispersion is not much more than that found in the calibration step, 0.03->0.06. The offset shows that the polynomial equation is sensitive: calibrated with Petrosian magnitudes, it fails systematically for fiber-mags scaled to Petrosian r.

We will need to calibrate the photometric redshift relation in the test year.


The Testing Group

Andy Connolly and Alex Szalay have ideas on how to make the photometric redshift algorithm more robust. Contact Andy if you wish to help.

Bob Nichol is going to use spectro to test how faint we can go in an hour on brightest cluster ellipticals and still get redshifts.

Daniel Reichart and Bob Nichol are going to explore the Edinburgh-Durham galaxy catalog in conjunction with the Las Campanas survey to learn more about what cuts will give us 7.5 BRG/sq-degree. Further, they will use the Edinburgh-Durham cluster catalog and Rosat pointings to learn about what BRG selection means in terms of clusters found.

Francisco Castander is going to explore what synthetic spectra can tell us about photometric redshifts and k-corrections. One idea is to develop a photometric redshift equation designed for brightest cluster ellipticals.

I am pursuing the application of these ideas and code on the test data.


James Annis
Created Halloween, 1996
Last updated Nov 25, 1996