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

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.

本仓库收录了发表于《天体物理学杂志》（Astrophysical Journal）、由Viraj Pandya等人撰写的论文《Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS》的全部配图。我们同时附带了表2的机器可读版本。下文将分别介绍对应论文中图7、图8、图13与图23的四组配图，以及表2。本仓库还收录了所有未归入上述分组的单幅配图——如需了解这些配图的说明，请参阅论文中其对应的图注。
图7展示了单个质量-红移区间内，我们针对三维星系形态构建的受限贝叶斯模型的拐角图（corner plot）。本组配图包含了其余质量-红移区间对应的同类拐角图。
图8展示了不同类型椭球体（长椭球、扁椭球、球椭体）对观测到的投影轴比与尺寸联合分布的分数贡献。该图同时表明，我们可借助这些分数模型贡献值，为单个观测星系分配三维形态概率。本组配图包含其余质量-红移区间对应的同类图件，以及分别应用于SE++与Galfit数据的独立模型结果图。
图13展示了三维轴比（C/A与B/A）的直方图，该直方图由每个质量-红移区间内，从我们的模型后验分布中抽取500次样本的平均值计算得到。论文中的该图为应用于SE++数据的模型结果，本组收录的额外配图则为应用于Galfit数据的模型结果。
图23展示了针对不同样本量的哈密顿蒙特卡洛（Hamiltonian Monte Carlo）算法应用于我们的三维星系形态贝叶斯模型的模拟参数恢复测试。论文中的该图为以长椭球体为主的椭球体模拟样本的测试结果，本组收录的额外配图则为分别以球椭体、扁椭（轴对称）盘状结构，或三轴（椭圆）盘状结构为主的模拟样本的测试结果。
表2汇总了每个质量-红移区间内，我们的贝叶斯模型的均值与标准差，以及椭球体类别占比。本表格整合了基于Galfit与SE++的两种模型的结果，为机器可读格式，可通过例如Python的astropy.table模块轻松读取。