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Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS
 
Identifier https://doi.org/10.7910/DVN/SWTKVA
 
Creator Pandya, Viraj
Haowen Zhang
Marc Huertas-Company
Steven L. Finkelstein
Lucy Reading-Ikkanda
Martin Kuemmel
 
Publisher Harvard Dataverse
 
Description This repository provides all figures for the Astrophysical Journal article "Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS" by Viraj Pandya et al. We also include a machine readable version of Table 2.



Below we describe the four figure sets corresponding to Figures 7, 8, 13 and 23 in the paper as well as Table 2. This repository also includes all individual figures not comprising sets -- for a description of these, we refer the user to their corresponding captions in the paper.



Figure 7 shows corner plots from our constrained Bayesian model for 3D galaxy shapes in a single mass-redshift bin. The figure set here includes analogous corner plots for the other mass-redshift bins.



Figure 8 shows the fractional contribution of ellipsoids of different types (prolate, oblate, spheroidal) to the observed joint distribution of projected axis ratios and sizes. This figure also shows that we can use these fractional model contributions to assign 3D shape probabilities to individual observed galaxies. The figure set here includes analogous figures for other mass-redshift bins and for our model applied independently to the SE++ and Galfit data.



Figure 13 shows a histogram of 3D axis ratios (C/A vs B/A) computed as the average of 500 draws from our model posterior for every mass-redshift bin. The version in the paper is for our model applied to the SE++ data. The additional figure here is for our model applied to the Galfit data.



Figure 23 shows mock parameter recovery tests for Hamiltonian Monte Carlo applied to our Bayesian 3D galaxy shape model with different sample sizes. The version in the paper is for a mock population of ellipsoids dominated by prolate objects. The additional figures here are for additional mock populations dominated by either spheroids, oblate (axisymmetric) disks, or triaxial (oval) disks.



Table 2 summarizes the means and standard deviations of our Bayesian model as well as ellipsoid class fractions for every mass-redshift bin. The results from both of our models based on Galfit and SE++ have been combined into this single table. This is a machine readable table that can easily be read in with, e.g., the Python astropy.table module.
 
Subject Astronomy and Astrophysics
3D Galaxy Geometry from JWST
 
Date 2024-01-02
 
Contributor Pandya, Viraj