Kinematic position angle estimation and classification for galaxy velocity fields. Human and machine learning classifications flags.
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Updated
Dec 1, 2020 - Python
Kinematic position angle estimation and classification for galaxy velocity fields. Human and machine learning classifications flags.
CCN UNet detector, intended to be applied to galaxy images to discover regions.
A model for core formation in dark matter haloes and ultra-diffuse galaxies by outflow episodes
Investigating the relationship between black hole activity
I was in charge of extracting relevant galaxy evolution data from 5 databases into one organized database where I the data was separated into our key target parameters.
Regression of galaxy spin with morphology, stellar mass and (local + large-scale) environment. Random forests, and code to generate thesis plots.
Flexible, fully bayesian stacking software for modelling of astronomical data sets
Implementation of the BarnesHut algorithm in Julia, with benchmark comparisons with the brute force algorithm.
Cecilia Bacchini's website
Code written for an ongoing analysis of the distribution of metals in the galaxies from the Auriga project.
Measuring the pattern speed of NGC 4321
SAGA stands for Stacker and Analyzer of GAlaxies and is a small package written in Python to study the evolution of galaxies.
Home of the semi-analytical / semi-numerical galaxy evolution and reionization code ASTRAEUS
The Meraxes semi-analytic galaxy formation model.
Flexible, fully bayesian stacking software for modelling of astronomical data sets
Estimating galaxy gas mass fractions using SDSS imaging
Spherical Overdensity Aperture Processor: MPI parallel Python code to compute properties of halos in SWIFT n-body simulations
Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
Gravity Simulation (Galaxy Birth) in real time, N-Body and 1-Body
Dense Basis SED fitting
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