O'Connell Effect Detector using Push-Pull Learning
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Updated
Mar 14, 2022 - MATLAB
O'Connell Effect Detector using Push-Pull Learning
README for RvSpectML project
Project aims at modeling the size distribution of sunspots greater than 60 millionths of a solar hemisphere (MSH) using a truncated log-normal distribution.
This repository contains the documentation and archived code to create TolTEC simulated maps using the SIDES catalog (Bethermin et al. 2017) and the source extraction algorithm used for analyzing these maps.
Project aims to estimate Hubble's constant by performing a linear regression analysis of redshifts and distances of Type Ia supernovae within a redshift of 0.1
Joint X-ray and SZ data fitting code for galaxy clusters in Python
This repository contains all the code (in the form of Jupyter Notebooks) to reproduce the results in our paper, "Light Curve Classification with DistClassiPy: a new distance-based classifier"
Statistically Quantifying Difference in the Observable Universe under Warm and Cold Dark Matter Assumptions
Variable Star Signature Classification using Slotted Symbolic Markov Modeling
The initial analysis of LINEAR data using supervised classification methods.
Project aims to determine the binary star fraction in the Globular Cluster NGC 5053 using data from 66 stars observed over three years using bayesian statistical inference.
Research presentations on Astronomy and Astrostatistics
Programs and files written for Astrostatistics for IB Physics IA. Topic: Visualizing and analyzing the habitable zones for 150,000 stars from the hipparcos catalogue.
Project Repository for IB physics extended essay
Repo for RvSpectML code still in the experimental stage
Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML
Plotting functions/scripts for use with RvSpectML
An efficient Python implementation for Bayesian inference in binary stars based on Stan.
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