Adding Sandro Tacchella as a Co-I -1659271508 Assigned ID: 185 ----- Attempting Submission 1 (Wed Mar 04 21:22:37 GMT 2020) ----- HST Phase I Proposal 185 successfully submitted. Receipt: # 185-1 ----- Attempting Submission 2 (Sat Mar 07 00:48:49 GMT 2020) ----- HST Phase I Proposal 185 successfully submitted. Receipt: # 185-2 ----- Attempting Submission 3 (Sat Mar 07 01:09:07 GMT 2020) ----- HST Phase I Proposal 185 successfully submitted. Receipt: # 185-3 ----- Attempting Submission 4 (Sat Mar 07 01:11:41 GMT 2020) ----- HST Phase I Proposal 185 successfully submitted. Receipt: # 185-4 ----- Attempting Submission 5 (Sat Mar 07 01:13:25 GMT 2020) ----- HST Phase I Proposal 185 successfully submitted. Receipt: # 185-5 ----- Attempting Submission 6 (Thu Mar 12 19:18:30 GMT 2020) ----- HST has invested thousands of orbits imaging extragalactic deep fields with the goal of understanding the structural evolution of galaxies. Determining how galaxies grow requires transforming the distribution of light we observe into maps of stellar mass and star formation through cosmic time. This is challenging because a significant fraction of the light from young stars is absorbed and radiated further into the infrared, beyond Hubble's wavelength coverage. Deriving reliable estimates of physical quantities requires a modeling framework that can synthesize resolved and unresolved data. Here we propose the development of a next generation tool: Pirate. Pirate is built within Prospector, a Bayesian inference framework designed to constrain high-dimensional, self-consistent models of galaxies using broad-band photometry. Pirate extends Prospector to a resolved framework with an innovative hierarchical model to optimally constrain spatially resolved physical properties of galaxies from data with heterogeneous resolutions. With the ability to map stellar mass and star formation in galaxies at 0.5<z<2.5 with reliable uncertainties, we will place new constraints on how galaxies grow at their peak formation epoch: where stars form, where galaxies quench, and how galaxies grow in size and build their build their bulges. A wealth of science will be enabled through a public release of all maps of stellar population properties, as well as, most importantly, the Pirate software package itself. Pirate is a forward looking tool that requires development and optimization leading up to the next era of higher spatial resolution data coming with ALMA, JWST, and the 30-meter telescopes. The proposed spatially resolved stellar population synthesis modeling of galaxies in the CANDELS will be used to study the structural evolution of galaxies at z=0.5-2.5. Our team has expertise in both the analysis methods and scientific areas proposed. The software we will develop, Pirate, will be an extension of the stellar population synthesis modeling code Prospector which was developed by Co-Is Ben Johnson, Joel Leja, and Josh Speagle (Johnson \& Leja 2017, Leja et al. 2017, 2019, Speagle 2019). The extension will use a method developed by Co-I Speagle (Green et al. 2019). Johnson, Leja, and Speagle are all experts in advanced statistical techniques for MCMC sampling and modeling UV-IR SEDs. This program will use HST ACS and WFC3 mosaics in the CANDELS fields from the 3D-HST project, on which Kate Whitaker, Joel Leja, and Erica Nelson were core team members (Skelton et al. 2014). Sandro Tacchella, Kate Whitaker, and Erica Nelson are all experienced in spatially resolved stellar population synthesis modeling (Tacchella et al. 2015a, 2018, Nelson et al. 2019, Akhshik, Whitaker et al. submitted). They as well as Co-I Lamiya Mowla are experts in the structural evolution of galaxies (Tacchella et al. 2015b; Nelson et al. 2012, 2013, 2014; Whitaker et al. 2017, Mowla et al. 2019) Galaxies Stellar Populations and the Interstellar Medium 0 Regular false false false false false SUPPORTED