Flux contamination analysis (TESS)
-
Updated
Oct 12, 2024 - Jupyter Notebook
Flux contamination analysis (TESS)
Coursework written for: Computational Astrobiology (Tutorials 3 & 4), MASS course offered at the University of Belgrade
Coursework written for: Computational Astrobiology, MASS course offered at the University of Belgrade
Public Repository for Exoplanet Detection with Classical Machine Learning Approaches
Public repository of our works in Exoplanet analysis with Deep Learning
Direct Exoplanet Imaging with Tensor Decompositions
PlanetFinder is a Python-based tool designed for the detection and analysis of exoplanets using light curve data from the TESS mission. Leveraging the Lightkurve library, it allows users to search for, visualize, and analyze potential exoplanet transits, making it an ideal resource for both citizen scientists and professional astronomers.
A culmination of the tasks I will be undertaking as part of a PhD project around the TOLIMAN mission.
The MASER (Magnetically interActing Stars and Exoplanets in the Radio) code developed by Kavanagh & Vedantham (2023).
Predicting potential exoplanets in star systems using light intensity curves data derived from observations made by the NASA Kepler space telescope.
A Python package for calculating detection limits for exoplanet high contrast imaging (HCI) datasets.
PANOTPES Observatory Control Software for a telescope build using a moxa UC-8112A-ME series arm processor.
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
Looking for exoplanets? Look no further! This MATLAB code is your ticket to finding those elusive transits. With just a few lines of code, you'll be detecting exoplanets.
The project aims to leverage machine learning techniques to analyse the flux data and accurately classify stars as either exoplanet-hosting or non-exoplanet-hosting. By training a model on the provided dataset, we seek to uncover patterns and features indicative of exoplanet presence, enabling the model to make predictions on unseen data.
Find out if there are new planets using Deep Learning
Algoritmos para o tratamento de curvas de luz, treinamento e utilização de modelos de Machine Learning para a detecção automatizada de exoplanetas.
Half-Sibling Regression for High-Contrast Imaging
This repository contains submission for the intra-college astronomy hackathon
Installation bundles for EXOTIC (https://github.com/rzellem/EXOTIC)
Add a description, image, and links to the exoplanet-detection topic page so that developers can more easily learn about it.
To associate your repository with the exoplanet-detection topic, visit your repo's landing page and select "manage topics."