Search Results for "python imaging library"

PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (3.x).

James Webb Space Telescope (JWST) MIRI and NIRCam imaging data. This tool handles background matching, cosmic ray rejection, and creates seamless mosaics from multiple exposures. Features Multi-instrument Support: Process both MIRI and NIRCam data Background Matching: Automatic background leveling across exposures Cosmic Ray Rejection: Advanced cosmic ray identification and removal Seamless Mosaicking: Create continuous field mosaics from dithered observations Source Extraction: Generate segmentation maps and source catalogs Calibration-ready: Works with JWST pipeline products (_cal.fits, _rate.fits) Memory Efficient: Handles large JWST datasets efficiently Installation Prerequisites Python 3.8 or higher JWST calibration pipeline 4GB+ RAM recommended for large mosaics Quick Install git clone https://github.com/tlcagford/JWST-Merge cd JWST-Merge pip install -r requirements.txt

Now maintained at github.com/spacepy/spacepy Space Science library for Python - contains superposed epoch classes, drift shell tracing, access to magnetic field models, streamline tracing, bootstrap confidence limits, time and coordinate conversions, etc.

This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. ...

Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.

Observe library is an astronomical for observers that helps planning and managing observations.

QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.

pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.

APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.

Astronomical library for photometric distances calculation. Implemented different extinction models. Pure Python inside.

Pysolar is a Python library for calculating the position of the sun relative to the earth as a function of latitude, longitude, and time. There is also code included for other problems related to the development of photovoltaic systems. Still in alpha.

GIRAFFE Base Line Data Reduction Software is a set of python scripts and modules and a C library to reduce FITS images produced by the Very Large Telescope (VLT) FLAMES instrument.

PyXPA is a Python interface to the XPA library (http://hea-www.harvard.edu/RD/xpa/ developed by the SAO/HEAD R&D Group (http://hea-www.harvard.edu/RD/)).