Star-Forming Radio Galaxies
Contact
Guinevere Kauffmann |
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MPA Garching |
Summary
A search for star-forming galaxies in SDSS DR7 imaging that are also radio sources from FIRST
Finding Targets
An object whose ANCILLARY_TARGET1
value includes one or more of the bitmasks in the following table was targeted for spectroscopy as part of this ancillary target program. See SDSS bitmasks to learn how to use these values to identify objects in this ancillary target program.
Program (bit name) | Bit number | Target Description | Number of Fibers | Number of Unique Primary Objects |
---|---|---|---|---|
BLUE_RADIO | 56 | SDSS photometric galaxy with blue colors cross-matched to a radio source from FIRST | 2,938 | 2,781 |
Description
Joint analysis of SDSS, FIRST, and the NRAO VLA Sky Survey (NVSS; Condon et al. 1998) has shown that low-redshift radio AGNs play an essential role in regulating the growth of massive galaxies (e.g. Best et al. 2005, Best et al. 2007).
However, much less is known about the detailed interplay of gas cooling and radio feedback in more luminous radio galaxies at higher redshifts. Current samples are incomplete, in particular for radio galaxies with significant ongoing star formation.
Target Selection
This ancillary program selects radio galaxies with blue colors at z > 0.3 that would otherwise be missed from the LOWZ
and CMASS
samples. Galaxy targets were selected from DR7 photometry according to the following criteria:
- extended morphology in SDSS photometry
- clean ugriz model photometry and 17 < i < 19.9
- ifib2 < 21.7
- [(g – r) > 1.45] OR [(u – g) < 1.14 * (g – r)], where photometry is determined from model magnitudes
The last criterion is designed to color-select objects at z > 0.3. We cross-matched this sample with the FIRST catalog (July 2008 version) and selected all objects within 3″ of FIRST sources with fluxes > 3.5 mJy. Most targets were within 1.5″. Finally, we rejected objects spectroscopically observed by SDSS-I/II, and objects meeting the target selection criterion for the galaxy samples. In total there were 4,610 targets; we randomly sampled these to produce a final list of 4,170 ancillary targets.
REFERENCES
Best, P. N., Kauffmann, G., Heckman, T. M., Brinchmann, J., Charlot, S., Ivezić, Ž., & White, S. D. M. 2005 (Abstract from ADS), MNRAS, 362, 25, doi:10.1111/j.1365-2966.2005.09192.x
Best, P. N., von der Linden, A., Kauffmann, G., Heckman, T. M., & Kaiser, C. R. 2007 (Abstract from ADS), MNRAS, 379, 894, doi:10.1111/j.1365-2966.2007.11937.x
Condon, J. J.; Cotton, W. D.; Greisen, E. W.; Yin, Q. F.; Perley, R. A.; Taylor, G. B.; Broderick, J. J. 1998 (Abstract from ADS), AJ, 115, 1693, doi:10.1086/300337