1. Morpheus Reveals Distant Disk Galaxy Morphologies with JWST: The First AI/ML Analysis of JWST Images
- Author
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Robertson, BE, Tacchella, S, Johnson, BD, Hausen, R, Alabi, AB, Boyett, K, Bunker, AJ, Carniani, S, Egami, E, Eisenstein, DJ, Hainline, KN, Helton, JM, Ji, Z, Kumari, N, Lyu, J, Maiolino, R, Nelson, EJ, Rieke, MJ, Shivaei, I, Sun, F, Übler, H, Williams, CC, Willmer, CNA, Witstok, J, Robertson, BE [0000-0002-4271-0364], Tacchella, S [0000-0002-8224-4505], Johnson, BD [0000-0002-9280-7594], Hausen, R [0000-0002-8543-761X], Alabi, AB [0000-0002-3475-587X], Boyett, K [0000-0003-4109-304X], Carniani, S [0000-0002-6719-380X], Egami, E [0000-0003-1344-9475], Eisenstein, DJ [0000-0002-2929-3121], Hainline, KN [0000-0003-4565-8239], Helton, JM [0000-0003-4337-6211], Ji, Z [0000-0001-7673-2257], Kumari, N [0000-0002-5320-2568], Lyu, J [0000-0002-6221-1829], Maiolino, R [0000-0002-4985-3819], Nelson, EJ [0000-0002-7524-374X], Rieke, MJ [0000-0002-7893-6170], Shivaei, I [0000-0003-4702-7561], Sun, F [0000-0002-4622-6617], Übler, H [0000-0003-4891-0794], Williams, CC [0000-0003-2919-7495], Willmer, CNA [0000-0001-9262-9997], Witstok, J [0000-0002-7595-121X], Apollo - University of Cambridge Repository, Robertson, B. E., Tacchella, S., Johnson, B. D., Hausen, R., Alabi, A. B., Boyett, K., Bunker, A. J., Carniani, S., Egami, E., Eisenstein, D. J., Hainline, K. N., Helton, J. M., Ji, Z., Kumari, N., Lyu, J., Maiolino, R., Nelson, E. J., Rieke, M. J., Shivaei, I., Sun, F., Ubler, H., Williams, C. C., Willmer, C. N. A., and Witstok, J.
- Subjects
Disk galaxies (391) ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astronomy and Astrophysics ,Galaxies (573) ,5109 Space Sciences ,Astrophysics - Astrophysics of Galaxies ,Settore FIS/05 - Astronomia e Astrofisica ,Galaxy classification systems (582) [Unified Astronomy Thesaurus concepts] ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,James Webb Space Telescope (2291) ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Neural networks (1933) ,51 Physical Sciences ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The dramatic first images with James Webb Space Telescope (JWST) demonstrated its power to provide unprecedented spatial detail for galaxies in the high-redshift universe. Here, we leverage the resolution and depth of the JWST Cosmic Evolution Early Release Science Survey (CEERS) data in the Extended Groth Strip (EGS) to perform pixel-level morphological classifications of galaxies in JWST F150W imaging using the Morpheus deep learning framework for astronomical image analysis. By cross-referencing with existing photometric redshift catalogs from the Hubble Space Telescope (HST) CANDELS survey, we show that JWST images indicate the emergence of disk morphologies before z~2 and with candidates appearing as early as z~5. By modeling the light profile of each object and accounting for the JWST point-spread function, we find the high-redshift disk candidates have exponential surface brightness profiles with an average Sersic (1968) index n=1.04 and >90% displaying "disky" profiles (n, Submitted to AAS Journals
- Published
- 2022