High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions
<jats:title>ABSTRACT</jats:title> <jats:p>The James Webb Space Telescope (JWST) promises to revolutionize our understanding of the early Universe, and contrasting its upcoming observations with predictions of the Λ cold dark matter model requires detailed theoretica...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press (OUP)
2021
|
| Online Access: | https://hdl.handle.net/1721.1/132564 |
| _version_ | 1811086425102221312 |
|---|---|
| author | Vogelsberger, Mark Nelson, Dylan Pillepich, Annalisa Shen, Xuejian Marinacci, Federico Springel, Volker Pakmor, Rüdiger Tacchella, Sandro Weinberger, Rainer Torrey, Paul Hernquist, Lars |
| author_facet | Vogelsberger, Mark Nelson, Dylan Pillepich, Annalisa Shen, Xuejian Marinacci, Federico Springel, Volker Pakmor, Rüdiger Tacchella, Sandro Weinberger, Rainer Torrey, Paul Hernquist, Lars |
| author_sort | Vogelsberger, Mark |
| collection | MIT |
| description | <jats:title>ABSTRACT</jats:title>
<jats:p>The James Webb Space Telescope (JWST) promises to revolutionize our understanding of the early Universe, and contrasting its upcoming observations with predictions of the Λ cold dark matter model requires detailed theoretical forecasts. Here, we exploit the large dynamic range of the IllustrisTNG simulation suite, TNG50, TNG100, and TNG300, to derive multiband galaxy luminosity functions from z = 2 to z = 10. We put particular emphasis on the exploration of different dust attenuation models to determine galaxy luminosity functions for the rest-frame ultraviolet (UV), and apparent wide NIRCam bands. Our most detailed dust model is based on continuum Monte Carlo radiative transfer calculations employing observationally calibrated dust properties. This calibration results in constraints on the redshift evolution of the dust attenuation normalization and dust-to-metal ratios yielding a stronger redshift evolution of the attenuation normalization compared to most previous theoretical studies. Overall we find good agreement between the rest-frame UV luminosity functions and observational data for all redshifts, also beyond the regimes used for the dust model calibrations. Furthermore, we also recover the observed high-redshift (z = 4–6) UV luminosity versus stellar mass relation, the H α versus star formation rate relation, and the H α luminosity function at z = 2. The bright end (MUV &gt; −19.5) cumulative galaxy number densities are consistent with observational data. For the F200W NIRCam band, we predict that JWST will detect ∼80 (∼200) galaxies with a signal-to-noise ratio of 10 (5) within the NIRCam field of view, $2.2\times 2.2 \, {\rm arcmin}^{2}$, for a total exposure time of $10^5\, {\rm s}$ in the redshift range z = 8 ± 0.5. These numbers drop to ∼10 (∼40) for an exposure time of $10^4\, {\rm s}$.</jats:p> |
| first_indexed | 2024-09-23T13:25:43Z |
| format | Article |
| id | mit-1721.1/132564 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:25:43Z |
| publishDate | 2021 |
| publisher | Oxford University Press (OUP) |
| record_format | dspace |
| spelling | mit-1721.1/1325642021-09-21T03:29:42Z High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions Vogelsberger, Mark Nelson, Dylan Pillepich, Annalisa Shen, Xuejian Marinacci, Federico Springel, Volker Pakmor, Rüdiger Tacchella, Sandro Weinberger, Rainer Torrey, Paul Hernquist, Lars <jats:title>ABSTRACT</jats:title> <jats:p>The James Webb Space Telescope (JWST) promises to revolutionize our understanding of the early Universe, and contrasting its upcoming observations with predictions of the Λ cold dark matter model requires detailed theoretical forecasts. Here, we exploit the large dynamic range of the IllustrisTNG simulation suite, TNG50, TNG100, and TNG300, to derive multiband galaxy luminosity functions from z = 2 to z = 10. We put particular emphasis on the exploration of different dust attenuation models to determine galaxy luminosity functions for the rest-frame ultraviolet (UV), and apparent wide NIRCam bands. Our most detailed dust model is based on continuum Monte Carlo radiative transfer calculations employing observationally calibrated dust properties. This calibration results in constraints on the redshift evolution of the dust attenuation normalization and dust-to-metal ratios yielding a stronger redshift evolution of the attenuation normalization compared to most previous theoretical studies. Overall we find good agreement between the rest-frame UV luminosity functions and observational data for all redshifts, also beyond the regimes used for the dust model calibrations. Furthermore, we also recover the observed high-redshift (z = 4–6) UV luminosity versus stellar mass relation, the H α versus star formation rate relation, and the H α luminosity function at z = 2. The bright end (MUV &gt; −19.5) cumulative galaxy number densities are consistent with observational data. For the F200W NIRCam band, we predict that JWST will detect ∼80 (∼200) galaxies with a signal-to-noise ratio of 10 (5) within the NIRCam field of view, $2.2\times 2.2 \, {\rm arcmin}^{2}$, for a total exposure time of $10^5\, {\rm s}$ in the redshift range z = 8 ± 0.5. These numbers drop to ∼10 (∼40) for an exposure time of $10^4\, {\rm s}$.</jats:p> 2021-09-20T18:23:04Z 2021-09-20T18:23:04Z 2020-11-17T15:28:56Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/132564 en 10.1093/MNRAS/STAA137 Monthly Notices of the Royal Astronomical Society Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Oxford University Press (OUP) arXiv |
| spellingShingle | Vogelsberger, Mark Nelson, Dylan Pillepich, Annalisa Shen, Xuejian Marinacci, Federico Springel, Volker Pakmor, Rüdiger Tacchella, Sandro Weinberger, Rainer Torrey, Paul Hernquist, Lars High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title | High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title_full | High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title_fullStr | High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title_full_unstemmed | High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title_short | High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions |
| title_sort | high redshift jwst predictions from illustristng dust modelling and galaxy luminosity functions |
| url | https://hdl.handle.net/1721.1/132564 |
| work_keys_str_mv | AT vogelsbergermark highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT nelsondylan highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT pillepichannalisa highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT shenxuejian highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT marinaccifederico highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT springelvolker highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT pakmorrudiger highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT tacchellasandro highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT weinbergerrainer highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT torreypaul highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions AT hernquistlars highredshiftjwstpredictionsfromillustristngdustmodellingandgalaxyluminosityfunctions |