activity
20212023
most citedConstraints on the Faint End of the Galaxy Stellar Mass Function at z ~ 4-8 from Deep JWST Data

49 citations · 102 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2023

A high incidence of dusty H emitters at among UltraVISTA dropout galaxies in COSMOS revealed by JWST

Sophie E. van Mierlo, Karina I. Caputi, Matthew L. N. Ashby +3

We have characterized 26 Spitzer/IRAC-selected sources from the SMUVS program that are undetected in the UltraVISTA DR5 H- and/or Ks-band images, covering 94 square arcmin of the C…

astro-ph.GA2023

ALMA sub-/millimeter sources among SMUVS galaxies at in the COSMOS field

Tomoko L. Suzuki, Sophie E. van Mierlo, Karina I. Caputi

Sub-millimeter observations reveal the star-formation activity obscured by dust in the young Universe. It still remains unclear how galaxies detected at sub-millimeter wavelengths…

astro-ph.GA2023★ 49 cited

Constraints on the Faint End of the Galaxy Stellar Mass Function at z ~ 4-8 from Deep JWST Data

Rafael Navarro-Carrera, Pierluigi Rinaldi, Karina I. Caputi +3

We analyze a sample of 3300 galaxies between redshifts z~3.5 and z~8.5 selected from JWST images in the Hubble Ultra Deep Field (HUDF) and UKIDSS Ultra Deep Survey field, including…

astro-ph.GA2022★ 9 cited

No Need for Extreme Stellar Masses at z~7: A Test-case Study of COS-87259

Sophie E. van Mierlo, Karina I. Caputi, Vasily Kokorev

Recent controversy regarding the existence of massive (log(M/Msun)>11) galaxies at z>6 poses a challenge for galaxy formation theories. Hence, it is of critical importance to under…

astro-ph.GA2022★ 26 cited

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

Euclid Collaboration, E. Merlin, M. Castellano +218

The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…

astro-ph.GA2022

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

Euclid Collaboration, L. Bisigello, C. J. Conselice +196

Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Ma…

astro-ph.GA2022★ 18 cited

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for galaxies within the Euclid Deep Survey

Euclid Collaboration, S. E. van Mierlo, K. I. Caputi +203

(Abridged) The Euclid mission is expected to discover thousands of z>6 galaxies in three Deep Fields, which together will cover a ~40 deg2 area. However, the limited number of Eucl…

astro-ph.GA2021

The galaxy starburst/main-sequence bimodality over five decades in stellar mass at z ~ 3-6.5

Pierluigi Rinaldi, Karina I. Caputi, Sophie E. van Mierlo +3

We study the relation between stellar mass (M*) and star formation rate (SFR) for star-forming galaxies over approximately five decades in stellar mass (5.5 <~ log10(M*/Msun) <~ 10…