1.2k citations · 7.5k across the 81 of their papers we have counts for
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The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques
Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher +52
The study of galaxy evolution hinges on our ability to interpret multi-wavelength galaxy observations in terms of their physical properties. To do this, we rely on spectral energy…
COSMOS2020: The Galaxy Stellar Mass Function: the assembly and star formation cessation of galaxies at
J. R. Weaver, I. Davidzon, S. Toft +30
How galaxies form, assemble, and cease their star-formation is a central question within the modern landscape of galaxy evolution studies. These processes are indelibly imprinted o…
A Machine Learning Approach to Predict Missing Flux Densities in Multi-band Galaxy Surveys
Nima Chartab, Bahram Mobasher, Asantha Cooray +21
We present a new method based on information theory to find the optimal number of bands required to measure the physical properties of galaxies with a desired accuracy. As a proof…
COSMOS2020: UV selected galaxies at
O. B. Kauffmann, O. Ilbert, J. R. Weaver +16
This paper presents a new search for galaxies using the COSMOS2020 photometric catalogues. Finding galaxies at the reionization epoch through deep imaging surveys remain…
ALMA Lensing Cluster Survey: and Photometry of 33 Lensed Fields Built with CHArGE
Vasily Kokorev, Gabriel Brammer, Seiji Fujimoto +30
We present a set of multi-wavelength mosaics and photometric catalogs in the ALMA lensing cluster survey (ALCS) fields. The catalogs were built by reprocessing of archival data fro…
COSMOS2020: Manifold Learning to Estimate Physical Parameters in Large Galaxy Surveys
I. Davidzon, K. Jegatheesan, O. Ilbert +16
We present a novel method to estimate galaxy physical properties from spectral energy distributions (SEDs), alternate to template fitting techniques and based on self-organizing ma…