Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
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If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
PypeIt is a Python package for semi-automated reduction of astronomical spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers.
It is designed to be used by both advanced spectroscopists with prior data reduction expertise and astronomers with no prior experience of data reduction. It is highly configurable and designed to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well as cross-dispersed echelle spectra.
The COde-independent Organized LEns STandard (COOLEST) defines a set of conventions to be shared across the strong lensing community, in order to consistently store, share and improve lens modeling analyses. In short, this project provides tools to manipulate lens models as a single, human-readable JSON template file alongside Python routines for visualizing and comparing lens models possibly obtained from different modeling codes.
This package provides an Updated and improved version of the Sparse Lens Inversion Technique, developed within the framework of lens modelling software lenstronomy.
SPISEA is an python package that generates single-age, single-metallicity populations (i.e. star clusters). It gives the user control over many parameters:
cluster characteristics (age, metallicity, mass, distance)
total extinction, differential extinction, and extinction law
stellar evolution and atmosphere models
stellar multiplicity and Initial Mass Function
initial-Final Mass Relation
photometric filters
This package provides tools for machine learning and data mining in astronomy.
This package contains a helper functionality to test ROMAN and JWST.
PyERFA is the Python wrapper for the ERFA library (Essential Routines for Fundamental Astronomy), a C library containing key algorithms for astronomy, which is based on the SOFA library published by the International Astronomical Union (IAU). All C routines are wrapped as Numpy universal functions, so that they can be called with scalar or array inputs.
Libnova is a general purpose, double precision, Celestial Mechanics, Astrometry and Astrodynamics library.
LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.
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.
PyVO is a package providing access to remote data and services of the Virtual observatory (VO) using Python.
PyEsoRex is a command line tool which can serve as a drop-in replacement of EsoRex, which can execute both, existing pipeline recipes implemented using the Common Pipeline Library C API, and recipes implemented using the PyCPL Python API.
ASTROALIGN is a python module that will try to align two stellar astronomical images, especially when there is no WCS information available.
SPLASH is visualisation tool for Smoothed Particle Hydrodynamics (SPH) simulations in one, two and three dimensions, developed mainly for astrophysics. It uses a command-line menu but data can be manipulated interactively in the plotting window.
PyAVM is a module to represent, read, and write metadata following the AVM standard provided by vamp project.
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.
Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.
Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.
sunraster is an Python library that provides the tools to read in and analyze spectrogram data.
This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.
PINT is not TEMPO3 - package providing a Pulsar Timing, written in Python from scratch. Features:
a robust system to produce high-precision timing results that is completely independent of TEMPO and Tempo2
a system that is easy to extend and modify due to a good design and the use of a modern programming language, techniques, and libraries
This package implements a functionality to produce map based simulations for the Simons Observatory or other CMB experiments. It creates simulated maps in HEALPix and CAR pixelization based on:
foreground models included in PySM
custom foregrounds models from the so_pysm_models package
precomputed Cosmic Microwave Background simulations
noise simulations based on expected performance and simulated hitmaps
effect of gaussian beam convolution
Python read-only implementation of the EventIO file format.
The FITS "World Coordinate System" (WCS) standard defines keywords and usage that provide for the description of astronomical coordinate systems in a FITS (Flexible Image Transport System) image header.