Reconstructing the stellar mass distributions of galaxies using S^(4)G Irac 3.6 and 4.5 μm images. I. Correcting for contamination by polycyclic aromatic hydrocarbons, hot dust, and intermediate-age stars
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2012
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American Astronomical Society
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Aniano, G., Draine, B. T., Gordon, K. D., & Sandstrom, K. 2011, PASP, 123, 1218
Bakes, E. L. O., Tielens, A. G. G. M., Bauschlicher, C. W., Jr., Hudgins, D. M., & Allamandola, L. J. 2001, ApJ, 560, 261
Balcells, M., Graham, A. W., Domínguez Palmero, L., & Peletier, R. F. 2003, ApJ, 582, L79
Bell, E. F., & de Jong, R. S. 2001, ApJ, 550, 212
Bendo, G. J., Draine, B. T., Engelbracht, C. W., et al. 2008, MNRAS, 389, 629
Blain, A. W., Barnard, V. E., & Chapman, S. C. 2003, MNRAS, 338, 733
Block, D. L., Buta, R., Knapen, J. H., et al. 2004, AJ, 128, 183
Bolatto, A. D., Simon, J. D., Stanimirović, S., et al. 2007, ApJ, 655, 212
Bonanos, A. Z., Lennon, D. J., Köhlinger, F., et al. 2010, AJ, 40, 416
Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000
Buta, R. J., Sheth, K., Regan, M., et al. 2010, ApJS, 190, 147
Calzetti, D., Kennicutt, R. C., Engelbracht, C. W., et al. 2007, ApJ, 666, 870
Courteau, S., de Jong, R. S., & Broeils, A. H. 1996, ApJ, 457, L73
Dale, D. A., Bendo, G. J., Engelbracht, C. W., et al. 2005, ApJ, 633, 857
Davidge, T. J. 2009, ApJ, 697, 1439
de Blok, W. J. G., Walter, F., Brinks, F., et al. 2008, AJ, 136, 2648
de Vaucouleurs, G., de Vaucouleurs, A., Corwin, H. G., et al. 1991, Third Reference Catalog of Bright Galaxies (New York: Springer)
Draine, B. T., Dale, D. A., Bendo, G., et al. 2007, ApJ, 663, 866
Elmegreen, B. G., & Elmegreen, D. M. 2010, ApJ, 722, 1895
Elmegreen, B. G., Elmegreen, D. M., Knapen, J. H., et al. 2007, ApJ, 670, L97
Elmegreen, D. M., & Elmegreen, B. G. 1984, ApJS, 54, 127
Elmegreen, D. M., Elmegreen, B. G., Marcus, M. T., et al. 2009, ApJ, 701, 306
Fazio, G. G., Ashby, M. L. N., Barmby, P., et al. 2004, ApJS, 154, 39
Flagey, N., Boulanger, F., Verstraete, L., et al. 2006, A&A, 453, 969
Florido, E., Battaner, E., Guijarro, A., Garzón, F., & Jiménez Vicente, J. 2001, A&A, 378, 82
Foyle, K., Rix, H.-W., & Zibetti, Z. 2010, MNRAS, 407, 163
Gordon, K. D., Engelbracht, C. W., Rieke, G. H., et al. 2008, ApJ, 682, 336
Governato, F., Willman, B., Mayer, L., et al. 2007, MNRAS, 374, 1479
Groenewegen, M. A. T. 2006, A&A, 448, 181
Grosbøl, P. 1993, PASP, 105, 651
Guo, Q., & White, S. D. 2008, MNRAS, 384, 2
Haan, S., Schinnerer, E., Emsellem, E., et al. 2009, ApJ, 692, 1623
Helou, G., Roussel, H., Appleton, P., et al. 2004, ApJS, 154, 253
Ho, L. C. 2008, ARA&A, 46, 475
Ho, L. C., Filippenko, A. V., & Sargent, W. L. W. 1996, ApJ, 462, 183
Hoyer, P. 2004, J. Mach. Learn. Res., 5, 1457
Hunter, D. A., Elmegreen, B. G., & Martin, E. 2006, AJ, 132, 801
Hyvärinen, A. 1999, IEEE Signal Process. Lett., 6, 145
Hyvärinen, A., & Oja, E. 2000, Neural Netw., 13, 411
Jackson, D. C., Skillman, E. D., Gehrz, R. D., Polomski, E., & Woodward, C. E. 2007, ApJ, 656, 818
Jarrett, T. H., Chester, T., Cutri, R., et al. 2000, AJ, 119, 2498
Kendall, S., Kennicutt, R. C., & Clarke, C. 2011, MNRAS, 414, 538
Kendall, S., Kennicutt, R. C., Clarke, C., & Thornley, M. D. 2008, MNRAS, 387, 1007
Kennicutt, R. C., Jr., Armus, L., Bendo, G., et al. 2003, PASP, 115, 928
Kormendy, J., & Kennicutt, R. C. 2004, ARA&A, 42, 603
Laurikainen, E., Salo, H., Buta, R., & Vasylyev, S. 2004, MNRAS, 355, 1251
Leroy, A., Walter, F., Brinks, E., et al. 2008, AJ, 136, 2782
Maino, D., Banday, A. J., Baccigalupi, C., Perrotta, F., & Gorski, K. M. 2003, MNRAS, 344, 544
Maino, D., Donzelli, S., Banday, A. J., Baccigalupi, C., & Stivoli, F. 2007, MNRAS, 374, 1207
Maraston, C. 2005, MNRAS, 362, 799
Mentuch, E., Abraham, R. G., Glazebrook, K., et al. 2009, ApJ, 706, 1020
Mentuch, E., Abraham, R. G., & Zibetti, S. 2010, ApJ, 725, 1971
Mouhcine, M., & Lançon, A. 2002, A&A, 393, 149
Moustakas, J., Kennicutt, R. C., Tremonti, C. A., et al. 2010, ApJS, 190, 233
Muñoz Mateos, J. C., Gil de Paz, A., Boissier, S., et al. 2009a, ApJ, 701, 1965
Muñoz Mateos, J. C., Gil de Paz, A., Zamorano, J., et al. 2009b, ApJ, 703, 1569
Navarro, J. F., & White, S. D. M. 1994, MNRAS, 267, 401
Oh, S.-H., de Blok, W. J. G., Walter, F., Brinks, E., & Kennicutt, R. C. 2008, AJ, 136, 2761
Pahre, M. A., Ashby, M. L. N., Fazio, G. G., & Willner, S. P. 2004a, ApJS, 154, 229
Pahre, M. A., Ashby, M. L. N., Fazio, G. G., & Willner, S. P. 2004b, ApJS, 154, 235
Quataert, E., Di Matteo, T., & Narayan, R. 1999, ApJ, 525, L89
Quillen, A. C., Frogel, J. A., Kenney, J. D. P., Pogge, R. W., & Depoy, D. L. 1995, ApJ, 441, 549
Reach, W. T., Megeath, S. T., Cohen, M., et al. 2005, PASP, 117, 978
Rhoads, J. E. 1998, AJ, 115, 472
Rix, H.-W., & Rieke, M. J. 1993, ApJ, 418, 123
Rix, H.-W., & Zaritsky, D. 1995, ApJ, 447, 82
Salo, H. 2010, http://sun3.oulu.fi/ hsalo/galfidl.html
Salo, H., Laurikainen, E., Buta, R., & Knapen, J. H. 2010, ApJ, 715, L56
Sheth, K., et al. 2010, PASP, 122, 1397
Smith, J. D. T., Draine, B. T., Dale, D. A., et al. 2007, ApJ, 656, 770
Somerville, R. S. 2002, ApJ, 572, L23
Stark, A. 1977, ApJ, 213, 368
Temi, P., Brighenti, F., & Mathews, W. G. 2008, ApJ, 672, 244
Willner, S. P., Ashby, M. L. N., Barmby, P., et al. 2004, ApJS, 154, 222
Zaritsky, D., & Lo, K. Y. 1986, ApJ, 303, 66
Zhang, X., & Buta, R. 2007, AJ, 133, 2584
Zibetti, S., Charlot, S., & Rix, H.-W. 2009, MNRAS, 400, 1181
Abstract
With the aim of constructing accurate two-dimensional maps of the stellar mass distribution in nearby galaxies from Spitzer Survey of Stellar Structure in Galaxies 3.6 and 4.5 μm images, we report on the separation of the light from old stars from the emission contributed by contaminants. Results for a small sample of six disk galaxies (NGC 1566, NGC 2976, NGC 3031, NGC 3184, NGC 4321, and NGC 5194) with a range of morphological properties, dust content, and star formation histories are presented to demonstrate our approach. To isolate the old stellar light from contaminant emission (e.g., hot dust and the 3.3 μm polycyclic aromatic hydrocarbon (PAH) feature) in the IRAC 3.6 and 4.5 μm bands we use an independent component analysis (ICA) technique designed to separate statistically independent source distributions, maximizing the distinction in the [3.6]-[4.5] colors of the sources. The technique also removes emission from evolved red objects with a low mass-to-light ratio, such as asymptotic giant branch (AGB) and red supergiant (RSG) stars, revealing maps of the underlying old distribution of light with [3.6]-[4.5] colors consistent with the colors of K and M giants. The contaminants are studied by comparison with the non-stellar emission imaged at 8 μm, which is dominated by the broad PAH feature. Using the measured 3.6 μm/8 μm ratio to select individual contaminants, we find that hot dust and PAHs together contribute between ~5% and 15% to the integrated light at 3.6 μm, while light from regions dominated by intermediate-age (AGB and RSG) stars accounts for only 1%-5%. Locally, however, the contribution from either contaminant can reach much higher levels; dust contributes on average 22% to the emission in star-forming regions throughout the sample, while intermediate-age stars contribute upward of 50% in localized knots. The removal of these contaminants with ICA leaves maps of the old stellar disk that retain a high degree of structural information and are ideally suited for tracing stellar mass, as will be the focus in a companion paper.
Description
© 2012. The American Astronomical Society. All rights reserved. Artículo firmado por 26 autores. The authors acknowledge the collective effort of the entire S^(4)G team in this project. S.E.M. thanks Seppo Matilla for valuable feedback. E.A. and A.B. thank the Centre National d'Etudes Spatiales for financial support. K.S., J.-C.M.-M., T.K. and T.M. acknowledge support from the National Radio Astronomy Observatory, which is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc.