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A Community Tool for Transiting Exoplanet Science with the JWST & HST
API to retrieve canadian federal and provincial tax rates. Documentation and endpoints on the website:
:chart_with_upwards_trend:🐳Converts Forex historical data to different formats via GitHub Actions
Python Jupyter Notebooks that support users of the ACS instrument on board the Hubble Space Telescope
Zeus21: Lightning-fast simulations of cosmic dawn
Astronomical Image Convenience Tools
Synthetic photometry using Astropy for HST and JWST
Calibration Reference Data System for HST and JWST.
Calibration for HST/WFC3, HST/ACS, and HST/STIS
Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).
PACMAN is a pipeline to reduce and analyze data collected by Hubble Wide Field Camera 3 (HST/WFC3) using either the G102 or G141 grism.
A community tool for transiting exoplanet science with JWST & HST
Python tools for HST WFC3 data calibration and analysis
Simulation of WFC3 observations
LINEAR Extraction and Modeling of Slitless Spectroscopy (mostly for WFC3/IR)
IDL package to graphically edit segmentation maps
Package for making superdarks and superbiases for STIS CCD data
The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:
Pixel-based CTI-correction for HST/STIS CCD data
Introduces two classes: hydro-static transmission (HST) and regression models (RegressionModel). The former serves to initilize an HST object for a certain displacement and other design pararmeters. Included methods allow to size, to calculate efficiencies as well as perfromance characteristics for a given operational regime and to create, print and save an efficiency map - a contour or a surface plot for ranges of speeds and torques required. The latter class loads the collected catalogue data of displacements, speeds and masses of axial-piston machines from the data.csv file. Then it fits regression models to the data in order to provide inter- and extrapolating predictions. The data and the regression models could then be printed and saved.
This repository contains files related to my master's thesis report which is based on ''Cognitive Radio Connectivity for Railway Transportation Networks''
Porting/rewriting of Morse Runner as a web app (HAM radio training software)