4.7 Article

The nature of giant clumps in high-z discs: a deep-learning comparison of simulations and observations

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 501, Issue 1, Pages 730-746

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa3778

Keywords

galaxies: evolution; galaxies: formation; galaxies: irregular; galaxies: star formation; galaxies: structure

Funding

  1. Gordon and Betty Moore Foundation [GBMF7392]
  2. Klaus Tschira Foundation through the HITS Yale Program in Astrophysics (HYPA)
  3. Ministerio de Ciencia, Innovacion y Universidades (MICIU/FEDER) [PGC2018-094975-C21]
  4. Google Faculty Research Grant
  5. STScI under NASA contract [HST-AR-14578.001-A, NAS5-26555]
  6. [DIP STE1869/2-1 GE625/17-1]
  7. [ISF 861/20]

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We explore observed giant clumps in high-redshift disc galaxies using deep learning, detecting and classifying them based on cosmological simulations. The study shows similar abundances of LLCs and SLCs in simulations and observations, with LLCs being more massive and closer to the galactic center. The results suggest better clump survivability and formation mechanisms in high-mass galaxies.
We use deep learning to explore the nature of observed giant clumps in high-redshift disc galaxies, based on their identification and classification in cosmological simulations. Simulated clumps are detected using the 3D gas and stellar densities in the VELA zoom-in cosmological simulation suite, with similar to 25 pc maximum resolution, targeting main-sequence galaxies at 1 < z < 3. The clumps are classified as long-lived clumps (LLCs) or short-lived clumps (SLCs) based on their longevity in the simulations. We then train neural networks to detect and classify the simulated clumps in mock, multicolour, dusty, and noisy HST-like images. The clumps are detected using an encoder-decoder convolutional neural network (CNN), and are classified according to their longevity using a vanilla CNN. Tests using the simulations show our detector and classifier to be similar to 80 per cent complete and similar to 80 per cent pure for clumps more massive than similar to 10(7.5)M(circle dot). When applied to observed galaxies in the CANDELS/GOODS S+N fields, we find both types of clumps to appear in similar abundances in the simulations and the observations. LLCs are, on average, more massive than SLCs by similar to 0.5 dex, and they dominate the clump population above M-c greater than or similar to 10(7.6)M(circle dot). LLCs tend to be found closer to the galactic centre, indicating clump migration to the centre or preferential formation at smaller radii. The LLCs are found to reside in high-mass galaxies, indicating better clump survivability under supernova feedback there, due to clumps being more massive in these galaxies. We find the clump masses and radial positions in the simulations and the observations to agree within a factor of 2.

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