Honors Thesis Presentation - Grace Wagner

10:30–11:00 am ERC 401

JWST NIRCam Calibrations for TEMPLATES-SGAS1723 & SGAS1226 with Extant HST & Spitzer Imaging and Bayesian SED Fitting
Advisor: Mike Gladders

This talk discusses the development and application of a new calibration method for JWST NIRCam observations using well calibrated HST and Spitzer data and modeled spectral energy distributions (SEDs), made with stellar population synthesis (SPS).  This method is applied to galaxies of the foreground lensing clusters of two TEMPLATES (Targeting Extremely Magnified Panchromatic Lensed Arcs and Their Extended Star Formation; PID: 1355) fields, SGAS1723+3411 and SGAS1226+2152.  Using HST and Spitzer imaging of SGAS1723 and SGAS1226, we model the SEDs of massive quiescent galaxies in the clusters using Bayesian SED fitting. We utilize our best fit models to predict JWST photometry of the quiescent member galaxies. By comparing these predictions with observed NIRCam fluxes, we robustly quantify potential corrections (of the order of ~0.01-0.2 AB mags), as well as constraining the uncertainties of the PHOTMJSR values.  We evaluate the effectiveness of this method by comparing the calculated PHOTMJSR values to those calculated by other works (Boyer et. al. 2022, Nardiello et. al. 2022).  This work demonstrates the potential utility of using galaxies for calibrations.

Event Type

Seminars, Talks

May 26