Finite Resolution Deconvolution of Multi-Wavelength Imaging of 20,000 Galaxies in the COSMOS Field: The Evolution of Clumpy Galaxies Over Cosmic Time
arXiv:2110.07612 · doi:10.3847/1538-4357/ac2f40
Abstract
Compact star-forming clumps observed in distant galaxies are often suggested to play a crucial role in galaxy assembly. In this paper, we use a novel approach of applying finite resolution deconvolution on ground-based images of the COSMOS field to resolve 20,185 star-forming galaxies (SFG) at 0.5<z<2 to an angular resolution of 0.3", and study their clumpy fractions. A comparison between the deconvolved and HST images across four different filters shows good agreement and validates the deconvolution. We model spectral energy distributions using the deconvolved 14-band images to provide resolved surface brightness and stellar mass density maps for these galaxies. We find that the fraction of clumpy galaxies decreases with increasing stellar masses, and with increasing redshift: from ~30% at z ~ 0.7 to ~50% at z ~ 1.7. Using abundance matching, we also trace the progenitors for galaxies at z ~ 0.7 and measure the fractional mass contribution of clumps toward their total mass budget. Clumps are observed to have a higher fractional mass contribution toward galaxies at higher redshift: increasing from ~1% at z ~ 0.7 to ~5% at z ~ 1.7. Finally, the majority of clumpy SFGs have higher specific star formation rates (sSFR) compared to the average SFGs at fixed stellar mass. We discuss the implication of this result to in-situ clump formation due to disk instability.
References in corpus (25)
- scikit-image: Image processing in Python
- Cosmic Star Formation History
- The Cosmic Evolution Survey (COSMOS) -- Overview
- EAZY: A Fast, Public Photometric Redshift Code
- 3D-HST+CANDELS: The Evolution of the Galaxy Size-Mass Distribution since
- Formation of Massive Galaxies at High Redshift: Cold Streams, Clumpy Disks and Compact Spheroids
- An ultra-deep near-infrared spectrum of a compact quiescent galaxy at z=2.2
- Detection of quiescent galaxies in a bicolor sequence from z=0-2
- UltraVISTA: a new ultra-deep near-infrared survey in COSMOS
- The KMOS^3D Survey: design, first results, and the evolution of galaxy kinematics from 0.7<z<2.7
- Clumpy Galaxies in CANDELS. I. The Definition of UV Clumps and the Fraction of Clumpy Galaxies at 0.5<z<3
- Clumpy Galaxies in GOODS and GEMS: Massive Analogs of Local Dwarf Irregulars
- Resolved spectroscopy of gravitationally lensed galaxies: global dynamics and star-forming clumps on ~100pc scales
- The nature of giant clumps in distant galaxies probed by the anatomy of the Cosmic Snake
- Stability of Galactic Gas Disks and the Formation of Massive Clusters
- The Galaxy End Sequence
- Physical Properties of Sub-galactic Clumps at 0.5 1.5 in the UVUDF
- Evolution of the Fraction of Clumpy Galaxies at 0.2<z<1.0 in the COSMOS field
- Stellar Masses of Giant Clumps in CANDELS and Simulated Galaxies Using Machine Learning
- Merger induced clump formation in distant infrared luminous starburst galaxies
- Kpc-scale Properties of Emission-line Galaxies
- IROCKS: Spatially resolved kinematics of z~1 star forming galaxies
- An improved probabilistic approach for linking progenitor and descendant galaxy populations using comoving number density
- The Mass Growth and Stellar Ages of Galaxies: Observations versus Simulations
- The MOSDEF Survey: An Improved Voronoi Binning Technique on Spatially Resolved Stellar Populations at z~2
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- Early results from GLASS-JWST. VII: evidence for lensed, gravitationally bound proto-globular clusters at z=4 in the Hubble Frontier Field A2744
- Fraction of Clumpy Star-Forming Galaxies at in UVCANDELS: Dependence on Stellar Mass and Environment
- JWST PRIMER: A lack of outshining in four normal z =4-6 galaxies from the ALMA-CRISTAL Survey
- Exploring the Evolution of Massive Clumps in Simulations that Reproduce the Observed Milky Way α-element Abundance Bimodality
- UV-Bright Star-Forming Clumps and Their Host Galaxies in UVCANDELS at 0.5 z 1
- Ground-based image deconvolution with Swin Transformer UNet