Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-26T07:59:29.991Z Has data issue: false hasContentIssue false
  • English
  • Français

Panchromatic SED fitting codes and modelling techniques

Published online by Cambridge University Press:  10 June 2020

Maarten Baes Open the ORCID record for Maarten Baes [Opens in a new window]
Maarten Baes*
Affiliation:
Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Modelling and interpreting the SEDs of galaxies has become one of the key tools at the disposal of extragalactic astronomers. Ideally, we could hope that, through a detailed study of its SED, we can infer the correct physical properties and the evolutionary history of a galaxy. In the past decade, panchromatic SED fitting, i.e. modelling the SED over the entire UV–submm wavelength regime, has seen an enormous advance. Several advanced new codes have been developed, nearly all based on Bayesian inference modelling. In this review, we briefly touch upon the different ingredients necessary for panchromatic SED modelling, and discuss the methodology and some important aspects of Bayesian SED modelling. The current uncertainties and limitations of panchromatic SED modelling are discussed, and we explore some avenues how the models and techniques can potentially be improved in the near future.

Keywords

galaxies: stellar contentgalaxies: ISMinfrared: galaxiesultraviolet: galaxiesmethods: statisticaldustextinctionradiative transfer
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S341: Challenges in Panchromatic Modelling with Next Generation Facilities , November 2019 , pp. 26 - 34
Copyright
© International Astronomical Union 2020

References

Acquaviva, V., Gawiser, E., & Guaita, L. 2011, ApJ, 737, 4710.1088/0004-637X/737/2/47CrossRefGoogle Scholar
Andrews, S. K., Driver, S. P., Davies, L. J. M., et al. 2017, MNRAS, 464, 156910.1093/mnras/stw2395CrossRefGoogle Scholar
Aoyama, S., Hou, K.-C., Hirashita, H., Nagamine, K., & Shimizu, I. 2018, MNRAS, 478, 490510.1093/mnras/sty1431CrossRefGoogle Scholar
Baes, M. & Dejonghe, H. 2001, MNRAS, 326, 73310.1046/j.1365-8711.2001.04626.xCrossRefGoogle Scholar
Baes, M., Clemens, M., Xilouris, E. M., et al. 2010, A&A, 518, L53Google Scholar
Baes, M., Verstappen, J., De Looze, I., et al. 2011, ApJS, 196, 2210.1088/0067-0049/196/2/22CrossRefGoogle Scholar
Baes, M., Gordon, K. D., Lunttila, T., et al. 2016, A&A, 590, A55Google Scholar
Baes, M., Trčka, A., Camps, P., et al. 2019, MNRAS, 484, 406910.1093/mnras/stz302CrossRefGoogle Scholar
Bekki, K. 2015, MNRAS, 449, 162510.1093/mnras/stv165CrossRefGoogle Scholar
Bianchi, S., De Vis, P., Viaene, S., et al. 2018, A&A, 620, A112Google Scholar
Boquien, M., Burgarella, D., Roehlly, Y., et al. 2019, A&A, 622, A103Google Scholar
Bruzual, G. & Charlot, S. 1993, ApJ, 405, 53810.1086/172385CrossRefGoogle Scholar
Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 100010.1046/j.1365-8711.2003.06897.xCrossRefGoogle Scholar
Buat, V., Boquien, M., Małek, K., et al. 2018, A&A, 619, A135Google Scholar
Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 68210.1086/308692CrossRefGoogle Scholar
Camps, P. & Baes, M. 2015, Astron. Comput., 9, 2010.1016/j.ascom.2014.10.004CrossRefGoogle Scholar
Camps, P., Baes, M., & Saftly, W. 2013, A&A, 560, A35Google Scholar
Camps, P., Trayford, J. W., Baes, M., et al. 2016, MNRAS, 462, 105710.1093/mnras/stw1735CrossRefGoogle Scholar
Camps, P., Trčka, A., Trayford, J., et al. 2018, ApJS, 234, 2010.3847/1538-4365/aaa24cCrossRefGoogle Scholar
Carnall, A. C., McLure, R. J., Dunlop, J. S., & Davé, R. 2018, MNRAS, 480, 437910.1093/mnras/sty2169CrossRefGoogle Scholar
Charlot, S. & Fall, S. M. 2000, ApJ, 539, 71810.1086/309250CrossRefGoogle Scholar
Chevallard, J. & Charlot, S. 2016, MNRAS, 462, 141510.1093/mnras/stw1756CrossRefGoogle Scholar
Cid Fernandes, R., Mateus, A., Sodré, L., Stasińska, G., & Gomes, J. M. 2005, MNRAS, 358, 36310.1111/j.1365-2966.2005.08752.xCrossRefGoogle Scholar
Ciesla, L., Boselli, A., Elbaz, D., et al. 2016, A&A, 585, A43Google Scholar
Clark, C. J. R., Verstocken, S., Bianchi, S., et al. 2018, A&A, 609, A37Google Scholar
Conroy, C. 2013, ARA&A, 51, 39310.1146/annurev-astro-082812-141017CrossRefGoogle Scholar
Conroy, C. & Gunn, J. E. 2010, ApJ, 712, 83310.1088/0004-637X/712/2/833CrossRefGoogle Scholar
Conroy, C., Gunn, J. E., & White, M. 2009, ApJ, 699, 48610.1088/0004-637X/699/1/486CrossRefGoogle Scholar
Conroy, C., White, M., & Gunn, J. E. 2010, ApJ, 708, 5810.1088/0004-637X/708/1/58CrossRefGoogle Scholar
da Cunha, E., Charlot, S., & Elbaz, D. 2008, MNRAS, 388, 159510.1111/j.1365-2966.2008.13535.xCrossRefGoogle Scholar
da Cunha, E., Walter, F., Smail, I. R., et al. 2015, ApJ, 806, 11010.1088/0004-637X/806/1/110CrossRefGoogle Scholar
Decleir, M., De Looze, I., Boquien, M., et al. 2019, MNRAS, 486, 74310.1093/mnras/stz805CrossRefGoogle Scholar
Domnguez-Tenreiro, R., Obreja, A., Granato, G. L., et al. 2014, MNRAS, 439, 386810.1093/mnras/stu240CrossRefGoogle Scholar
Driver, S. P., Andrews, S. K., da Cunha, E., et al. 2018, MNRAS, 475, 289110.1093/mnras/stx2728CrossRefGoogle Scholar
Efstathiou, A., Rowan-Robinson, M., & Siebenmorgen, R. 2000, MNRAS, 313, 73410.1046/j.1365-8711.2000.03269.xCrossRefGoogle Scholar
Galliano, F. 2018, MNRAS, 476, 144510.1093/mnras/sty189CrossRefGoogle Scholar
Galliano, F., Galametz, M., & Jones, A. P. 2018, ARA&A, 56, 67310.1146/annurev-astro-081817-051900CrossRefGoogle Scholar
Goz, D., Monaco, P., Granato, G. L., et al. 2017, MNRAS, 469, 377510.1093/mnras/stx869CrossRefGoogle Scholar
Grand, R. J. J., Gómez, F. A., Marinacci, F., et al. 2017, MNRAS, 467, 179Google Scholar
Han, Y. & Han, Z. 2014, ApJS, 215, 210.1088/0067-0049/215/1/2CrossRefGoogle Scholar
Hayward, C. C. & Smith, D. J. B. 2015, MNRAS, 446, 151210.1093/mnras/stu2195CrossRefGoogle Scholar
Hayward, C. C., Kereš, D., Jonsson, P., et al. 2011, ApJ, 743, 15910.1088/0004-637X/743/2/159CrossRefGoogle Scholar
Hunt, L. K., De Looze, I., Boquien, M., et al. 2019, A&A, 621, A51Google Scholar
Jones, A. P., Köhler, M., Ysard, N., Bocchio, M., & Verstraete, L. 2017, A&A, 602, A46Google Scholar
Jonsson, P., Groves, B. A., & Cox, T. J. 2010, MNRAS, 403, 1710.1111/j.1365-2966.2009.16087.xCrossRefGoogle Scholar
Kauffmann, G., Heckman, T. M., White, S. D. M., et al. 2003, MNRAS, 341, 3310.1046/j.1365-8711.2003.06291.xCrossRefGoogle Scholar
Kelly, B. C., Shetty, R., Stutz, A. M., et al. 2012, ApJ, 752, 5510.1088/0004-637X/752/1/55CrossRefGoogle Scholar
Koleva, M., Prugniel, P., Bouchard, A., & Wu, Y. 2009, A&A, 501, 1269Google Scholar
Kurosawa, R. & Hillier, D. J. 2001, A&A, 379, 336Google Scholar
Law, K.-H., Gordon, K. D., & Misselt, K. A. 2018, ApJS, 236, 3210.3847/1538-4365/aabf41CrossRefGoogle Scholar
Lee, S.-K., Idzi, R., Ferguson, H. C., et al. 2009, ApJS, 184, 10010.1088/0067-0049/184/1/100CrossRefGoogle Scholar
Leitherer, C., Schaerer, D., Goldader, J. D., et al. 1999, ApJS, 123, 310.1086/313233CrossRefGoogle Scholar
Leja, J., Johnson, B. D., Conroy, C., van Dokkum, P. G., & Byler, N. 2017, ApJ, 837, 17010.3847/1538-4357/aa5ffeCrossRefGoogle Scholar
Leja, J., Carnall, A. C., Johnson, B. D., Conroy, C., & Speagle, J. S. 2018, ApJ, 876, 310.3847/1538-4357/ab133cCrossRefGoogle Scholar
Liske, J., Baldry, I. K., Driver, S. P., et al. 2015, MNRAS, 452, 208710.1093/mnras/stv1436CrossRefGoogle Scholar
Lo Faro, B., Buat, V., Roehlly, Y., et al. 2017, MNRAS, 472, 137210.1093/mnras/stx1901CrossRefGoogle Scholar
Małek, K., Buat, V., Roehlly, Y., et al. 2018, A&A, 620, A50Google Scholar
Maraston, C. 2005, MNRAS, 362, 79910.1111/j.1365-2966.2005.09270.xCrossRefGoogle Scholar
Mattsson, L. & Andersen, A. C. 2012, MNRAS, 423, 3810.1111/j.1365-2966.2012.20574.xCrossRefGoogle Scholar
McKinnon, R., Torrey, P., Vogelsberger, M., Hayward, C. C., & Marinacci, F. 2017, MNRAS, 468, 150510.1093/mnras/stx467CrossRefGoogle Scholar
McKinnon, R., Vogelsberger, M., Torrey, P., Marinacci, F., & Kannan, R. 2018, MNRAS, 478, 285110.1093/mnras/sty1248CrossRefGoogle Scholar
Muzzin, A., Marchesini, D., Stefanon, M., et al. 2013, ApJS, 206, 810.1088/0067-0049/206/1/8CrossRefGoogle Scholar
Narayanan, D., Conroy, C., Davé, R., Johnson, B. D., & Popping, G. 2018, ApJ, 869, 7010.3847/1538-4357/aaed25CrossRefGoogle Scholar
Nersesian, A., Xilouris, E. M., Bianchi, S., et al. 2019, A&A, 624, A80Google Scholar
Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793Google Scholar
Ocvirk, P., Pichon, C., Lançon, A., & Thiébaut, E. 2006, MNRAS, 365, 7410.1111/j.1365-2966.2005.09323.xCrossRefGoogle Scholar
Pappalardo, C., Bizzocchi, L., Fritz, J., et al. 2016, A&A, 589, A11Google Scholar
Pforr, J., Maraston, C., & Tonini, C. 2012, MNRAS, 422, 328510.1111/j.1365-2966.2012.20848.xCrossRefGoogle Scholar
Pillepich, A., Springel, V., Nelson, D., et al. 2018, MNRAS, 473, 407710.1093/mnras/stx2656CrossRefGoogle Scholar
Popescu, C. C. & Tuffs, R. J. 2002, MNRAS, 335, L4110.1046/j.1365-8711.2002.05881.xCrossRefGoogle Scholar
Relaño, M., De Looze, I., Kennicutt, R. C., et al. 2018, A&A, 613, A43Google Scholar
Rodriguez-Gomez, V., Snyder, G. F., Lotz, J. M., et al. 2019, MNRAS, 483, 414010.1093/mnras/sty3345CrossRefGoogle Scholar
Saftly, W., Camps, P., Baes, M., et al. 2013, A&A, 554, A10Google Scholar
Saftly, W., Baes, M., & Camps, P. 2014, A&A, 561, A77Google Scholar
Saftly, W., Baes, M., De Geyter, G., et al. 2015, A&A, 576, A31Google Scholar
Schaye, J., Crain, R. A., Bower, R. G., et al. 2015, MNRAS, 446, 52110.1093/mnras/stu2058CrossRefGoogle Scholar
Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 110.1086/516585CrossRefGoogle Scholar
Serra, P., Amblard, A., Temi, P., et al. 2011, ApJ, 740, 2210.1088/0004-637X/740/1/22CrossRefGoogle Scholar
Siebenmorgen, R., Heymann, F., & Efstathiou, A. 2015, A&A, 583, A120Google Scholar
Smith, D. J. B. & Hayward, C. C. 2015, MNRAS, 453, 159710.1093/mnras/stv1727CrossRefGoogle Scholar
Smith, D. J. B. & Hayward, C. C. 2018, MNRAS, 476, 170510.1093/mnras/sty311CrossRefGoogle Scholar
Smith, D. J. B., Dunne, L., da Cunha, E., et al. 2012, MNRAS, 427, 70310.1111/j.1365-2966.2012.21930.xCrossRefGoogle Scholar
Smith, M. W. L., Eales, S. A., Gomez, H. L., et al. 2012, ApJ, 756, 4010.1088/0004-637X/756/1/40CrossRefGoogle Scholar
Stalevski, M., Fritz, J., Baes, M., Nakos, T., & Popović, L. č. 2012, MNRAS, 420, 275610.1111/j.1365-2966.2011.19775.xCrossRefGoogle Scholar
Stalevski, M., Ricci, C., Ueda, Y., et al. 2016, MNRAS, 458, 228810.1093/mnras/stw444CrossRefGoogle Scholar
Steinacker, J., Baes, M., & Gordon, K. D. 2013, ARA&A, 51, 6310.1146/annurev-astro-082812-141042CrossRefGoogle Scholar
Tinsley, B. M. 1980, Fundamentals of Cosmic Physics, 5, 287Google Scholar
Tojeiro, R., Heavens, A. F., Jimenez, R., & Panter, B. 2007, MNRAS, 381, 125210.1111/j.1365-2966.2007.12323.xCrossRefGoogle Scholar
Trayford, J. W., Camps, P., Theuns, T., et al. 2017, MNRAS, 470, 77110.1093/mnras/stx1051CrossRefGoogle Scholar
Tuffs, R. J., Popescu, C. C., Völk, H. J., Kylafis, N. D., & Dopita, M. A. 2004, A&A, 419, 821Google Scholar
Vaccari, M. 2016, The Universe of Digital Sky Surveys, 42, 7110.1007/978-3-319-19330-4_10CrossRefGoogle Scholar
Verstocken, S., Van De Putte, D., Camps, P., & Baes, M. 2017, Astron. Comput., 20, 1610.1016/j.ascom.2017.05.003CrossRefGoogle Scholar
Viaene, S., Baes, M., Bendo, G., et al. 2016, A&A, 586, A13Google Scholar
Vogelsberger, M., Genel, S., Springel, V., et al. 2014, MNRAS, 444, 151810.1093/mnras/stu1536CrossRefGoogle Scholar
Walcher, J., Groves, B., Budavári, T., & Dale, D. 2011, ApSS, 331, 1Google Scholar
Wang, L., Dutton, A. A., Stinson, G. S., et al. 2015, MNRAS, 454, 8310.1093/mnras/stv1937CrossRefGoogle Scholar
Wilkinson, D. M., Maraston, C., Goddard, D., Thomas, D., & Parikh, T. 2017, MNRAS, 472, 429710.1093/mnras/stx2215CrossRefGoogle Scholar
Zubko, V., Dwek, E., & Arendt, R. G. 2004, ApJS, 152, 21110.1086/382351CrossRefGoogle Scholar