Python tools for the NACO-ISPY survey
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Updated
Jun 28, 2019 - Python
Python tools for the NACO-ISPY survey
A package for determining the optimal astronomical dither strategy
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Use Deep Learning and Public Hubble-WFC3 data to identify 'anomalies' in Space observations (for HST and JWST)
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.
A simple implementation of the orange-slice algorithm for fitting brightness maps to phase curves (from Cowan and Agol 2008) extended to also handle reflected light (Mayorga et al. 2020).
Masters thesis project completed in May 2021. Simulations of binary planetisemals orbiting the sun and encountering other bodies. Code includes the simulations themselves, as well as manipulation and visualisation of the results.
A 2 dimensional representation of the solar system with trajectory mapping features
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Photometry fitting (photFit) package. This package fit the spectral energy distribution (SED) of one and two body system using a theoretical atmosphere model, using a handfull of photometric bands, for hot and cool stars.
The modified Davis Chandrasekhar Fermi method written in Python.
ML Classifier using xgBoost and Flask, gives star type by adding new data to trained set
A program to obtain the visibility plot of an astrophysical object in a determined world-location.
Mean of a Stack of FIT file to detect pulsar in space
Match single-pulse detections to known sources, such as canonical pulsars or Rotating Radio Transients.
VOEvent triggering tools for the MeerTRAP real-time system.
Short tutorial on displaying an astronomical FITS datacube
python module to make summary of astro-ph based on user interests
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