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Variations of the stellar Initial Mass Function in semi-analytic models: Implications for the mass assembly of galaxies in the GAEA model

Published online by Cambridge University Press:  10 June 2020

Fabio Fontanot Open the ORCID record for Fabio Fontanot [Opens in a new window]
Fabio Fontanot*
Affiliation:
INAF - Astronomical Observatory of Trieste, via G.B. Tiepolo 11, I-34143 Trieste, Italy email: fabio.fontanot@inaf.it
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Abstract

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A wealth of observations recently challenged the notion of a universal stellar initial mass function (IMF) by showing evidences in favour of a variability of this statistical indicator as a function of galaxy properties. I present predictions from the semi-analytic model gaea (GAlaxy Evolution and Assembly), which features (a) a detailed treatment of chemical enrichment, (b) an improved stellar feedback scheme, and (c) implements theoretical prescriptions for IMF variations. Our variable IMF realizations predict intrinsic stellar masses and mass-to-light ratios larger than those estimated from synthetic photometry assuming a universal IMF. This provides a self-consistent interpretation for the observed mismatch between photometrically inferred stellar masses of local early-type galaxies and those derived by dynamical and spectroscopic studies. At higher redshifts, the assumption of a variable IMF has a deep impact on our ability to reconstruct the evolution of the galaxy stellar mass function and the star formation history of galaxies.

Keywords

galaxies: evolutiongalaxies: fundamental parametersgalaxies: stellar content
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. 124 - 128
Copyright
© International Astronomical Union 2020

References

Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 1000CrossRefGoogle Scholar
Cappellari, M., McDermid, R. M., Alatalo, K., Blitz, L., Bois, M., Bournaud, F., Bureau, M., Crocker, A. F., et al. 2012, Nature, 484, 485CrossRefGoogle Scholar
Conroy, C., Dutton, A. A., Graves, G. J., Mendel, J. T., van Dokkum, P. G., et al. 2013, ApJL, 776, L26CrossRefGoogle Scholar
Fontanot, F., De Lucia, G., Monaco, P., Somerville, R. S., Santini, P., et al. 2009, MNRAS, 397, 1776CrossRefGoogle Scholar
Fontanot, F., De Lucia, G., Hirschmann, M., Bruzual, G., Charlot, S., Zibetti, S., et al. 2017, MNRAS, 464, 3812CrossRefGoogle Scholar
Fontanot, F., Hirschmann, M., & De Lucia, G. 2017, ApJL, 842, 1410.3847/2041-8213/aa74bdCrossRefGoogle Scholar
Fontanot, F., De Lucia, G., Xie, L., Hirschmann, M., Bruzual, G., Charlot, S., et al. 2018a, MNRAS, 475, 2936Google Scholar
Fontanot, F., La Barbera, F., De Lucia, G., Pasquali, A., Vazdekis, A., et al. 2018b, MNRAS, 479, 5678CrossRefGoogle Scholar
Kroupa, P. 2001, MNRAS, 322, 231CrossRefGoogle Scholar
Gunawardhana, M. L. P., Hopkins, A. M., Sharp, R. G., Brough, S., Taylor, E., Bland-Hawthorn, J., Maraston, C., Tuffs, R. J., Popescu, C. C., Wijesinghe, D., Jones, D. H., Croom, S., Sadler, E., Wilkins, S., Driver, S. P., Liske, J., Norberg, P., Baldry, I. K., Bamford, S. P., Loveday, J., Peacock, J. A., Robotham, A. S. G., Zucker, D. B., Parker, Q. A., Conselice, C. J., Cameron, E., Frenk, C. S., Hill, D. T., Kelvin, L. S., Kuijken, K., Madore, B. F., Nichol, B., Parkinson, H. R., Pimbblet, K. A., Prescott, M., Sutherland, W. J., Thomas, D., & van Kampen, E. 2011, MNRAS, 415, 1647CrossRefGoogle Scholar
Hirschmann, M., De Lucia, G., & Fontanot, F. 2016, MNRAS, 461, 1760CrossRefGoogle Scholar
Hoversten, E. A. & Glazebrook, K. 2008, ApJ, 675, 16310.1086/524095CrossRefGoogle Scholar
La Barbera, F., Ferreras, I., Vazdekis, A., de la Rosa, I. G., de Carvalho, R. R., Trevisan, M., Falcón-Barroso, J., Ricciardelli, E., et al. 2013, MNRAS, 433, 3017CrossRefGoogle Scholar
Nanayakkara, Themiya; Glazebrook, Karl; Kacprzak, Glenn G; Yuan, Tiantian; Fisher, David; Tran, Kim-Vy; Kewley, Lisa J.; Spitler, Lee; Alcorn, Leo; Cowley, Michael; Labbe, Ivo; Straatman, Caroline & Tomczak, Adam, 2017, MNRAS, 468, 3071CrossRefGoogle Scholar
Papadopoulos, P. P., Thi, W.-F., Miniati, F., Viti, S., et al. 2011, MNRAS, 414, 1705CrossRefGoogle Scholar
Sarzi, M., Spiniello, C., La, Barbera F., Krajnović, D., van den Bosch, R., et al. 2018, MNRAS, 478, 4084CrossRefGoogle Scholar
Weidner, C., Kroupa, P., Pflamm-Altenburg, J., Vazdekis, A., et al. 2013, MNRAS, 436, 330910.1093/mnras/stt1806CrossRefGoogle Scholar
Zibetti, S., Charlot, S., & Rix, H. 2009, MNRAS, 400, 1181CrossRefGoogle Scholar