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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
code
flexCE
Published:
A flexible Chemical Evolution model
Recommended citation: Andrews, B. H., et al., 2017, ApJ, 835, 224.
Marvin
Published:
Data access, exploration, analysis, and visualization toolkit for the SDSS-IV MaNGA survey
Recommended citation: Cherinka, B., et al., 2019, AJ, 158, 74.
AstroPGH Boot Camp 2020
Published:
Research boot camp for undergrads and early PhD students
Python Boot Camp 2021
Published:
Python boot camp for undergrads and early PhD students
encapzulate
Published:
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network
publications
Assessing Radiation Pressure as a Feedback Mechanism in Star-forming Galaxies
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.
Principal Component Abundance Analysis of Microlensed Bulge Dwarf and Subgiant Stars
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.
The Mass-Metallicity Relation with the Direct Method on Stacked Spectra of SDSS Galaxies
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.
A Recalibration of Strong-line Oxygen Abundance Diagnostics via the Direct Method and Implications for the High-redshift Universe
We use direct method metallicities of stacked SDSS galaxies to recalibrate strong line metallicity diagnostics.
Brown, J. S., Martini, P., & Andrews, B. H. 2016, MNRAS, 458, 1529.
Inflow, Outflow, Yields, and Stellar Population Mixing in Chemical Evolution Models
We explore the trade-offs in parameters of chemical evolution models.
Equilibrium and Sudden Events in Chemical Evolution
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.
Weinberg, D. H., Andrews, B. H., & Freudenburg, J. 2017, ApJ, 837, 183.
Marvin: A Tool Kit for Streamlined Access and Visualization of the SDSS-IV MaNGA Data Set
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.
Cherinka, B., Andrews, B. H., Sanchez-Gallego, J., et al. 2019, AJ, 158, 74.
Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies
We use several machine learning algorithms to classify intermediate redshift emission line galaxies using only properties in optical spectra and ugriz photometry.
Zhang, K., Schlegal, D. J., Andrews, B. H., et al. 2019, ApJ, 883, 63.
Milky Way Analogues in MaNGA: Multi-Parameter Homogeneity and Comparison to the Milky Way
MaNGA Milky Way Analogs consistently have younger stellar populations at large radii but a wide range of central stellar population ages; about half of the MWAs have central AGN or composite activity.
Boardman, N., Zasowski, G., Seth, A., Newman, J., Andrews, B. H., et al. 2020, MNRAS, 491, 3672.
Constraining the Milky Way’s Ultraviolet to Infrared SED with Gaussian Process Regression
We use Gaussian Process Regression trained on the fluxes of external galaxies to estimate the Milky Way’s UV-to-IR SED.
Fielder, C., Newman, J., Andrews, B. H., et al. 2021, arXiv:2106.14900.
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression
We introduce a method for local calibration of photo-z PDFs.
Dey, B., Newman, J., Andrews, B. H., et al. 2021, arXiv:2110.15209.
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network
We use a deep capsule network to achieve state-of-the-art photo-z’s for SDSS galaxies.
talks
AstroCoffee
Published:
Streamlining MaNGA data with Marvin
Published:
GitHub Flow
Published:
Effective Plotting
Published:
The Origin of the Elements
Published:
AstroPGH Boot Camp 2020
Published:
Effective Plotting
Published:
Python Boot Camp 2021
Published:
Effective Plotting
Published:
Effective Plotting
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.