Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
We leverage DESI spectra to empirically predict emission line strengths from galaxy continua.
Refereed First Author Publications
We leverage DESI spectra to empirically predict emission line strengths from galaxy continua.
We construct the MZR for massive galaxies at z~0.7.
We develop a data-driven method for determining K-corrections for low redshift galaxies.
Optimized photo-z’s for all five CANDELS fields.
We use a deep capsule network to achieve state-of-the-art photo-z’s for SDSS galaxies.
We present a method for local calibration of PDFs with applications for photo-z’s.
We use Gaussian Process Regression trained on the fluxes of external galaxies to estimate the Milky Way’s UV-to-IR SED.
We introduce a method for local calibration of photo-z PDFs.
We develop a data access, exploration, analysis, and visualization toolkit for the SDSS-IV MaNGA survey that seamlessly transitions between locally and remotely-stored data.
We construct an analytic chemical evolution model with a realistic SNIa delay time distribution to probe how model parameters affect equilibrium abundances and the effects of sudden changes to those parameters.
We explore the trade-offs in parameters of chemical evolution models.
We use direct method metallicities of stacked SDSS galaxies to recalibrate strong line metallicity diagnostics.
The direct method mass-metallicity relation has a steeper slope, a lower turnover mass, and a factor of 2-3 greater dependence on SFR than strong line mass-metallicity relations.
PCA of elemental abundances of bulge stars revealing that the first two components are (1) correlated alpha elements and (2) correlated Na and Ni—two elements that have metallicity-dependent core-collapse supernova yields.
Radiation pressure from the absorption and scattering of starlight by dust grains, which are hydrodynamically coupled to the gas, sets a hard upper limit to the luminosity of star-forming regions.