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SPICA and the Chemical Evolution of Galaxies: The Rise of Metals and Dust

Published online by Cambridge University Press:  10 November 2017

J. A. Fernández-Ontiveros*
Affiliation:
Instituto de Astrofísica de Canarias (IAC), C/Vía Láctea s/n, E–38205 La Laguna, Spain Dept. de Astrofísica, Universidad de La Laguna (ULL), Avd. Astrofísico Fco. Sánchez s/n, E–38206 La Laguna, Spain Istituto di Astrofisica e Planetologia Spaziali (INAF–IAPS), Via Fosso del Cavaliere 100, I–00133 Roma, Italy IPAC, California Institute of Technology, Pasadena, CA 91125, USA
L. Armus
Affiliation:
IPAC, California Institute of Technology, Pasadena, CA 91125, USA
M. Baes
Affiliation:
Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium
J. Bernard-Salas
Affiliation:
Department of Physical Sciences, The Open University, MK7 6AA, Milton Keynes, UK
A. D. Bolatto
Affiliation:
Department of Astronomy and Joint Space Institute, University of Maryland, College Park, MD 20642, USA
J. Braine
Affiliation:
Laboratoire d’Astrophysique de Bordeaux, Univ. Bordeaux, CNRS, B18N, allée Geoffroy Saint-Hilaire, 33615 Pessac, France
L. Ciesla
Affiliation:
Laboratoire AIM, CEA/IRFU/Service d’Astrophysique, Université Paris Diderot, Bat. 709, F–91191 Gif-sur-Yvette, France
I. De Looze
Affiliation:
Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
E. Egami
Affiliation:
Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ 85721, USA
J. Fischer
Affiliation:
Naval Research Laboratory, Remote Sensing Division, 4555 Overlook Avenue SW, Washington DC 20375, USA
M. Giard
Affiliation:
CNRS, IRAP, 9 Av. colonel Roche, BP 44346, 31028 Toulouse Cedex 4, France Université de Toulouse, UPS-OMP, IRAP, 31028 Toulouse Cedex 4, France
E. González-Alfonso
Affiliation:
Dept. de Física y Matemáticas, Universidad de Alcalá, Campus Universitario, E-28871 Alcalá de Henares, Madrid, Spain
G. L. Granato
Affiliation:
Osservatorio Astronomico di Trieste, INAF, Via Tiepolo 11, I–34131 Trieste, Italy
C. Gruppioni
Affiliation:
Osservatorio Astronomico di Bologna, INAF, via Ranzani 1, I–40127 Bologna, Italy
M. Imanishi
Affiliation:
National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
D. Ishihara
Affiliation:
Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
H. Kaneda
Affiliation:
Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
S. Madden
Affiliation:
Laboratoire AIM, CEA/IRFU/Service d’Astrophysique, Université Paris Diderot, Bat. 709, F–91191 Gif-sur-Yvette, France
M. Malkan
Affiliation:
Astronomy Division, University of California, Los Angeles, CA 90095-1547, USA
H. Matsuhara
Affiliation:
Institute of Space Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa 252-5210, Japan
M. Matsuura
Affiliation:
School of Physics and Astronomy, Cardiff University, Queen’s Buildings, The Parade, Cardiff CF24 3AA, UK
T. Nagao
Affiliation:
Research Center for Space and Cosmic Evolution, Ehime University, Matsuyama 790-8577, Japan
F. Najarro
Affiliation:
Centro de Astrobiología (CSIC/INTA), Ctra. de Ajalvir km. 4, 28850 Torrejón de Ardoz, Madrid, Spain
T. Nakagawa
Affiliation:
Institute of Space Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa 252-5210, Japan
T. Onaka
Affiliation:
Department of Astronomy, Graduate School of Science, The University of Tokyo, 113-0033 Tokyo, Japan
S. Oyabu
Affiliation:
Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
M. Pereira-Santaella
Affiliation:
Department of Physics, University of Oxford, Oxford OX1 3RH, UK
I. Pérez Fournon
Affiliation:
Instituto de Astrofísica de Canarias (IAC), C/Vía Láctea s/n, E–38205 La Laguna, Spain Dept. de Astrofísica, Universidad de La Laguna (ULL), Avd. Astrofísico Fco. Sánchez s/n, E–38206 La Laguna, Spain
P. Roelfsema
Affiliation:
SRON Netherlands Institute for Space Research, Postbus 800, 9700, AV Groningen, The Netherlands Kapteyn Astronomical Institute, University of Groningen, Postbus 800, 9700 AV, Groningen, The Netherlands
P. Santini
Affiliation:
Osservatorio Astronomico di Roma, INAF, Via di Frascati 33, I–00078 Monte Porzio Catone, Italy
L. Silva
Affiliation:
Osservatorio Astronomico di Trieste, INAF, Via Tiepolo 11, I–34131 Trieste, Italy
J.-D. T. Smith
Affiliation:
Ritter Astrophysical Research Center, University of Toledo, 2825 West Bancroft Street, M. S. 113, Toledo, OH 43606, USA
L. Spinoglio
Affiliation:
Istituto di Astrofisica e Planetologia Spaziali (INAF–IAPS), Via Fosso del Cavaliere 100, I–00133 Roma, Italy
F. van der Tak
Affiliation:
SRON Netherlands Institute for Space Research, Postbus 800, 9700, AV Groningen, The Netherlands Kapteyn Astronomical Institute, University of Groningen, Postbus 800, 9700 AV, Groningen, The Netherlands
T. Wada
Affiliation:
Institute of Space Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa 252-5210, Japan
R. Wu
Affiliation:
International Research Fellow of the Japan Society for the Promotion of Science (JSPS), Department of Astronomy, University of Tokyo, Bunkyo-ku, 113-0033 Tokyo, Japan
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Abstract

The physical processes driving the chemical evolution of galaxies in the last ~ 11Gyr cannot be understood without directly probing the dust-obscured phase of star-forming galaxies and active galactic nuclei. This phase, hidden to optical tracers, represents the bulk of the star formation and black hole accretion activity in galaxies at 1 < z < 3. Spectroscopic observations with a cryogenic infrared observatory like SPICA, will be sensitive enough to peer through the dust-obscured regions of galaxies and access the rest-frame mid- to far-infrared range in galaxies at high-z. This wavelength range contains a unique suite of spectral lines and dust features that serve as proxies for the abundances of heavy elements and the dust composition, providing tracers with a feeble response to both extinction and temperature. In this work, we investigate how SPICA observations could be exploited to understand key aspects in the chemical evolution of galaxies: the assembly of nearby galaxies based on the spatial distribution of heavy element abundances, the global content of metals in galaxies reaching the knee of the luminosity function up to z ~ 3, and the dust composition of galaxies at high-z. Possible synergies with facilities available in the late 2020s are also discussed.

Information

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2017 
Figure 0

Figure 1. The mass–metallicity relation determined from direct abundance measurements based on optical fine-structure lines for ~200000 star-forming galaxies selected from the Sloan Digital Sky Survey (0.027 < z < 0.25) grouped in different bins of SFR. The colour-coded circles correspond to stacks of galaxies for each bin in SFR (mean error is indicated in the lower right). The coloured solid lines show asymptotic logarithmic fits to this relation for each bin in SFR, and the black-solid line in the centre of the figure shows the global fit. These are compared with the mass–metallicity relation from Tremonti et al. (2004), based on the strong-line method (the solid, dashed, and dotted grey lines correspond to the median, 68 and 95% contour of the relation, respectively). Figure adapted from Andrews & Martini (2013).

Figure 1

Figure 2. Simulated spectra for a starburst galaxy (left) and an AGN (right) with a luminosity of 2 × 1012L in the z = 1–4 range, assuming the spectral characteristics of M82 and NGC 1068, respectively, observed with ISO/SWS + LWS and Spitzer/IRS. The spectra are simulated at z = 1, 2, 3, and 4, from top to bottom. In each case, white noise was added to the spectra with an amplitude of $1 \sigma / \sqrt{t}$, t being the exposure time assumed (indicated in the upper-left corner of each panel). Finally, the SMI and SAFARI spectral ranges were binned to the spectral resolution values indicated in each frame. The SPICA 5σ sensitivities for SMI (MR mode in blue, R ~ 1500; LR mode in red, R ~ 100) and SAFARI (in green, HR mode in the upper panels at z = 0.7; LR mode, R ~ 300, in the lower panels) are indicated for integration times of 1 h (dotted lines) and 10 h (solid lines). The Pfund-α would be detected in the 1.5 < z ≲ 3 range (see inset on the left panel at z = 3).

Figure 2

Table 1. Direct (upper rows) and indirect (lower rows) metallicity tracers based on the mid- to far-IR lines that could be exploited by SPICA. In the table, ‘[X]’ refers to any of the fine-structure lines found in the range accessible to SPICA (e.g. [S iii]18.7μm, [Ar ii]6.99μm, [Ne ii]12.8μm) whose corresponding ionic stage abundance can be determined from the flux ratio of the [X] line to any of the hydrogen recombination lines. The Huα line is relatively weak and thus is expected to be detected only in nearby galaxies (z ~ 0).

Figure 3

Figure 3. Top: AGN and starburst models for the metallicity sensitive (2.2 ×[Oiii]88μm+[Oiii]52μm)/[Niii]57μm line ratio as a function of the gas-phase metallicity. For each metallicity bin, those models with the same ionisation parameter but different densities are grouped and their median ratio is indicated by a circle (square) for the starburst (AGN) models. The shaded area represents the scatter due to the gas density dependence of this ratio for a given ionisation parameter. Figure from Pereira-Santaella et al. (2017). Bottom: the ([Neii]12.8μm + [Neiii]15.6μm) to ([Siii]18.7μm + [Siv]10.5μm) line ratio (i.e. the Ne23S34 index) from Spitzer/IRS observations of starburst galaxies in the Local Universe vs. indirect gas-phase metallicity determined from strong optical lines (Moustakas et al. 2010; Pilyugin et al. 2014). The Cloudy simulations including sulphur stagnation above Z > 1/5Z are in agreement with the observed increase of the line ratio with increasing metallicity for Z ≳ 0.2Z (figure adapted from Fernández-Ontiveros et al. 2016). Below ≲ 0.2Z, direct abundances can be estimated using, e.g. the ratio of [Arii]6.99μm and [Ariii]8.99μm to the Pfund-α line for galaxies at 1.5 < z ≲ 3 (see Section 3.2).

Figure 4

Figure 4. Differences in the Spitzer/IRS spectrum of three quasars associated to different silicate compositions (see Xie, Li, & Hao 2017): PG 1004+130 (astronomical silicate, in red colour), PG 1351+640 (amorphous olivine, in yellow), and PG 2214+139 (amorphous pyroxene, in pink). In this simulation, the spectra have been scaled to a luminosity of 1012L, and located at z = 2 (top panel, 2 h of integration time), z = 3 (central panel, 8 h), and z = 4 (bottom panel). The SPICA 5σ sensitivities for SMI/MR (in blue) and SAFARI/LR (in green) are indicated for integration times of 1 h (dotted lines) and 10 h (solid lines).