This repository contains files related to the Python programming workshop conducted for astrophysics and cosmology work at Nagpur. The repository includes sample codes, datasets, and presentations used during the workshop. These materials can be useful for beginners who want to learn Python programming for astrophysics and cosmology work.

slcomp: compilation of strong lensing objects

No description provided.

It is an astrophysical data analytics project, which I did with MySQL. The project was a graded by Sebastien Derriere of the Strasbourg Astronomical Observatory.

HECAT3KG X3ML & RML Mappings

Collection of all Segmented Spacetime (SSZ) plots used in the current papers

Routine used to correct the 1/f correlated noise observed in the detector images of the JWST instruments

A toolkit for efficient compression and analysis of redshift probability distribution functions

Coursework written for: Astrophysical Data Reduction and Analysis Techniques, MASS course offered at the University of Belgrade

Demonstration of comprehensive machine learning analysis in iPython of the quasar candidates catalog by Richards et al., ApJS 219 (2015).

A dashboard web application for visualizing astrophysics data, to aid in exoplanets discovery. Uses Plotly Dash, Pandas and Flask, styled with Bootstrap 5.

📊 Generate and validate segmented spacetime zone plots using peer-reviewed data for enhanced analysis and visualization in research contexts.

Code for Renzo et al. 2019 - Space astrometry of the very massive 150 Msun candidate runaway star VFTS682