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SNCosmo is a Python library for supernova cosmology analysis. It aims to make such analysis both as flexible and clear as possible.
The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.
This package provides a Square Kilometre Array (SKA) Science Data Processor (SDP) function library for radio astronomy.
FITS/XISF image viewer with multithreaded image loading. It is intended primarily for viewing astro photos and images with support of following formats:
FITS 8, 16 bit integer and 32 bit float
XISF 8, 16 bit integer and 32 bit float
RAW CR2, DNG, NEF
JPEG, PNG, BMP, GIF, PBM, PGM, PPM and SVG images
Features:
using same stretch function as PixInsight
OpenGL accelerated drawing
index and search FITS XISF header data
quick mark images and then copy/move marked files
convert FITS <-> XISF
convert FITS/XISF -> JPEG/PNG
image statistics mean, media, min, max
support for WCS
thumbnails
convert CFA images to colour - debayer
color space aware
The DKIST package aims to help you search, obtain and use DKIST data as part of your Python software.
CalcMySky is a software package that simulates scattering of light by the atmosphere to render daytime and twilight skies (without stars). Its primary purpose is to enable realistic view of the sky in applications such as planetaria. Secondary objective is to make it possible to explore atmospheric effects such as glories, fogbows etc., as well as simulate unusual environments such as on Mars or an exoplanet orbiting a star with a non-solar spectrum of radiation.
This package consists of three parts:
calcmyskyutility that does the precomputation of the atmosphere model to enable rendering.libShowMySkylibrary that lets the applications render the atmosphere model.ShowMySkypreview GUI that makes it possible to preview the rendering of the atmosphere model and examine its properties.
casa_cube is a python package that provides an interface to data cubes generates by CASA or Gildas. It allows the user to perform simple tasks such plotting given channel maps, moment maps, line profile in various units, correcting for cloud extinction, reconvolving with a beam taper, triming a cube. The syntax is similar to pymcfost to perform quick and easy comparison with models.
The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.
Python Tools for HST ACS (Advanced Camera for Surveys) Data.
CAMB is a cosmology code for calculating cosmological observables, including CMB, lensing, source count and 21cm angular power spectra, matter power spectra, transfer functions and background evolution. The code is in Python, with numerical code implemented in fast modern Fortran.
Tempo2 is a pulsar timing package, based on the old FORTRAN TEMPO code to address some shortcomings in that code for high precision pulsar timing. See related paper https://ui.adsabs.harvard.edu/abs/2006MNRAS.369..655H/abstract.
LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.
APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.
Main features:
Make plots interactively or using scripts
Show grayscale, colorscale, and 3-color RGB images of FITS files
Generate co-aligned FITS cubes to make 3-color RGB images
Make plots from FITS files with arbitrary WCS (e.g. position-velocity)
Slice multi-dimensional FITS cubes
Overlay any number of contour sets
Overlay markers with fully customizable symbols
Plot customizable shapes like circles, ellipses, and rectangles
Overlay ds9 region files
Overlay coordinate grids
Show colorbars, scalebars, and beams
Customize the appearance of labels and ticks
Hide, show, and remove different contour and marker layers
Pan, zoom, and save any view as a full publication-quality plot
Save plots as EPS, PDF, PS, PNG, and SVG
SWarp is a program that resamples and co-adds together FITS images using any arbitrary astrometric projection defined in the WCS standard.
CCfits is an object oriented interface to the cfitsio library. It is designed to make the capabilities of cfitsio available to programmers working in C++. It is written in ANSI C++ and implemented using the C++ Standard Library with namespaces, exception handling, and member template functions.
This package provides a functionality to reproject astronomical images using various techniques via a uniform interface, where reprojection is the re-gridding of images from one world coordinate system to another e.g. changing the pixel resolution, orientation, coordinate system.
GLNEMO2 is an interactive 3D visualization program which displays particles positions of the different components (gas, stars, disk, dark matter halo, bulge) of an N-body snapshot. It is a tool for running N-body simulations from isolated galaxies to cosmological simulations. It has a graphical user interface (based on QT 5.X API), uses a fast 3D engine (OPenGL and GLSL), and is generic with the possibility to load different kinds of input files.
The casacore package contains the core libraries of the old AIPS++/CASA (Common Astronomy Software Application) package. This split was made to get a better separation of core libraries and applications. CASA is now built on top of Casacore.
Python library doing sunrise and sunset time calculation. Takes a WGS84 (GPS) latitude/longitude as input as well as an UTC or local datetime object.
aiapy is a Python package for analyzing data from the AIA instrument onboard NASA's SDO spacecraft.
HEALPix of a sphere produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. This package provides the dynamic library for the C++ language implementation of HEALPix.
This package provides an extending scripting capabilities, present natively in Siril.
Cesium is an end-to-end machine learning platform for time-series, from calculation of features to model-building to predictions. Cesium has two main components - a Python library, and a web application platform that allows interactive exploration of machine learning pipelines. Take control over the workflow in a Python terminal or Jupyter notebook with the Cesium library, or upload your time-series files, select your machine learning model, and watch Cesium do feature extraction and evaluation right in your browser with the web application.
This package contains a pure-python drop-in replacement for the Python wrapper around the original LOFAR ParameterSet that is written in C++. It supports only the basic features of the original.