Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866929209556860928 |
|---|---|
| author | Pandya, Viraj Zhang, Haowen Huertas-Company, Marc Iyer, Kartheik G. McGrath, Elizabeth Barro, Guillermo Finkelstein, Steven L. Kuemmel, Martin Hartley, William G. Ferguson, Henry C. Kartaltepe, Jeyhan S. Primack, Joel Dekel, Avishai Faber, Sandra M. Koo, David C. Bryan, Greg L. Somerville, Rachel S. Amorin, Ricardo O. Haro, Pablo Arrabal Bagley, Micaela B. Bell, Eric F. Bertin, Emmanuel Costantin, Luca Dave, Romeel Dickinson, Mark Feldmann, Robert Fontana, Adriano Gavazzi, Raphael Giavalisco, Mauro Grazian, Andrea Grogin, Norman A. Guo, Yuchen Hahn, ChangHoon Holwerda, Benne W. Kewley, Lisa J. Kirkpatrick, Allison Koekemoer, Anton M. Lotz, Jennifer M. Lucas, Ray A. Pentericci, Laura Perez-Gonzalez, Pablo G. Pirzkal, Nor Kocevski, Dale D. Papovich, Casey Ravindranath, Swara Rose, Caitlin Schefer, Marc Simons, Raymond C. Straughn, Amber N. Tacchella, Sandro Trump, Jonathan R. de la Vega, Alexander Wilkins, Stephen M. Wuyts, Stijn Yang, Guang Yung, L. Y. Aaron |
| author_facet | Pandya, Viraj Zhang, Haowen Huertas-Company, Marc Iyer, Kartheik G. McGrath, Elizabeth Barro, Guillermo Finkelstein, Steven L. Kuemmel, Martin Hartley, William G. Ferguson, Henry C. Kartaltepe, Jeyhan S. Primack, Joel Dekel, Avishai Faber, Sandra M. Koo, David C. Bryan, Greg L. Somerville, Rachel S. Amorin, Ricardo O. Haro, Pablo Arrabal Bagley, Micaela B. Bell, Eric F. Bertin, Emmanuel Costantin, Luca Dave, Romeel Dickinson, Mark Feldmann, Robert Fontana, Adriano Gavazzi, Raphael Giavalisco, Mauro Grazian, Andrea Grogin, Norman A. Guo, Yuchen Hahn, ChangHoon Holwerda, Benne W. Kewley, Lisa J. Kirkpatrick, Allison Koekemoer, Anton M. Lotz, Jennifer M. Lucas, Ray A. Pentericci, Laura Perez-Gonzalez, Pablo G. Pirzkal, Nor Kocevski, Dale D. Papovich, Casey Ravindranath, Swara Rose, Caitlin Schefer, Marc Simons, Raymond C. Straughn, Amber N. Tacchella, Sandro Trump, Jonathan R. de la Vega, Alexander Wilkins, Stephen M. Wuyts, Stijn Yang, Guang Yung, L. Y. Aaron |
| contents | The 3D geometry of high-redshift galaxies remains poorly understood. We build a differentiable Bayesian model and use Hamiltonian Monte Carlo to efficiently and robustly infer the 3D shapes of star-forming galaxies in JWST-CEERS observations with $\log M_*/M_{\odot}=9.0-10.5$ at $z=0.5-8.0$. We reproduce previous results from HST-CANDELS in a fraction of the computing time and constrain the mean ellipticity, triaxiality, size and covariances with samples as small as $\sim50$ galaxies. We find high 3D ellipticities for all mass-redshift bins suggesting oblate (disky) or prolate (elongated) geometries. We break that degeneracy by constraining the mean triaxiality to be $\sim1$ for $\log M_*/M_{\odot}=9.0-9.5$ dwarfs at $z>1$ (favoring the prolate scenario), with significantly lower triaxialities for higher masses and lower redshifts indicating the emergence of disks. The prolate population traces out a ``banana'' in the projected $b/a-\log a$ diagram with an excess of low $b/a$, large $\log a$ galaxies. The dwarf prolate fraction rises from $\sim25\%$ at $z=0.5-1.0$ to $\sim50-80\%$ at $z=3-8$. If these are disks, they cannot be axisymmetric but instead must be unusually oval (triaxial) unlike local circular disks. We simultaneously constrain the 3D size-mass relation and its dependence on 3D geometry. High-probability prolate and oblate candidates show remarkably similar Sérsic indices ($n\sim1$), non-parametric morphological properties and specific star formation rates. Both tend to be visually classified as disks or irregular but edge-on oblate candidates show more dust attenuation. We discuss selection effects, follow-up prospects and theoretical implications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_15232 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS Pandya, Viraj Zhang, Haowen Huertas-Company, Marc Iyer, Kartheik G. McGrath, Elizabeth Barro, Guillermo Finkelstein, Steven L. Kuemmel, Martin Hartley, William G. Ferguson, Henry C. Kartaltepe, Jeyhan S. Primack, Joel Dekel, Avishai Faber, Sandra M. Koo, David C. Bryan, Greg L. Somerville, Rachel S. Amorin, Ricardo O. Haro, Pablo Arrabal Bagley, Micaela B. Bell, Eric F. Bertin, Emmanuel Costantin, Luca Dave, Romeel Dickinson, Mark Feldmann, Robert Fontana, Adriano Gavazzi, Raphael Giavalisco, Mauro Grazian, Andrea Grogin, Norman A. Guo, Yuchen Hahn, ChangHoon Holwerda, Benne W. Kewley, Lisa J. Kirkpatrick, Allison Koekemoer, Anton M. Lotz, Jennifer M. Lucas, Ray A. Pentericci, Laura Perez-Gonzalez, Pablo G. Pirzkal, Nor Kocevski, Dale D. Papovich, Casey Ravindranath, Swara Rose, Caitlin Schefer, Marc Simons, Raymond C. Straughn, Amber N. Tacchella, Sandro Trump, Jonathan R. de la Vega, Alexander Wilkins, Stephen M. Wuyts, Stijn Yang, Guang Yung, L. Y. Aaron Astrophysics of Galaxies The 3D geometry of high-redshift galaxies remains poorly understood. We build a differentiable Bayesian model and use Hamiltonian Monte Carlo to efficiently and robustly infer the 3D shapes of star-forming galaxies in JWST-CEERS observations with $\log M_*/M_{\odot}=9.0-10.5$ at $z=0.5-8.0$. We reproduce previous results from HST-CANDELS in a fraction of the computing time and constrain the mean ellipticity, triaxiality, size and covariances with samples as small as $\sim50$ galaxies. We find high 3D ellipticities for all mass-redshift bins suggesting oblate (disky) or prolate (elongated) geometries. We break that degeneracy by constraining the mean triaxiality to be $\sim1$ for $\log M_*/M_{\odot}=9.0-9.5$ dwarfs at $z>1$ (favoring the prolate scenario), with significantly lower triaxialities for higher masses and lower redshifts indicating the emergence of disks. The prolate population traces out a ``banana'' in the projected $b/a-\log a$ diagram with an excess of low $b/a$, large $\log a$ galaxies. The dwarf prolate fraction rises from $\sim25\%$ at $z=0.5-1.0$ to $\sim50-80\%$ at $z=3-8$. If these are disks, they cannot be axisymmetric but instead must be unusually oval (triaxial) unlike local circular disks. We simultaneously constrain the 3D size-mass relation and its dependence on 3D geometry. High-probability prolate and oblate candidates show remarkably similar Sérsic indices ($n\sim1$), non-parametric morphological properties and specific star formation rates. Both tend to be visually classified as disks or irregular but edge-on oblate candidates show more dust attenuation. We discuss selection effects, follow-up prospects and theoretical implications. |
| title | Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS |
| topic | Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2310.15232 |