The modular galaxy image simulation toolkit. Documentation:

Collaborative platform for time-domain astronomy

Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

Computer Vision library for Astronomy

PSFs In the Full FOV. A software package for modeling the point-spread function (PSF) across the full field of view (FOV). Documentation:

Astro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning

GalSim based Rubin Observatory image simulation package

A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC

Configures environment for LSST software (newinstall.sh)

Open, versioned taxonomy for astronomical time-series sources

Project focused on understanding the fundamental nature of dark matter with LSST

A tutorial on periodic variable star discrimination using machine learning

🐍 ALeRCE Python Client

Qserv Operator creates/configures/manages Qserv clusters atop Kubernetes

A validation framework and tests for mock galaxy catalogs and beyond

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

Create dark matter graphics

Package to interact with `LSST` `OpSim` outputs for simulations of Time Domain Astronomy objects.

Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017

Developing deep learning engines (DLEs) for non-parametric modeling and extracting of information from active galactic nuclei (AGN) light-curves (LCs), which are directly related to the scientific objectives of the LSST Exploring transient optical sky. Developed DLEs Jupyter notebooks might be adaptable for modeling of light-curves of other obje…