This package provides a Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.

Features:

• pulsar transmission functions

• inverse-noise-weighted transmission functions

• individual pulsar sensitivity curves

• pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density

• power-law integrated sensitivity curves

• sensitivity sky maps for pulsar timing arrays

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 a collection of astronomy related tools for Python.

The following subpackages are available:

• funcFit: A convenient fitting package providing support for minimization and MCMC sampling.

• modelSuite: A Set of astrophysical models (e.g., transit light-curve modeling), which can be used stand-alone or with funcFit.

• AstroLib: A set of useful routines including a number of ports from IDL's astrolib.

• Constants: The package provides a number of often-needed constants.

• Timing: Provides algorithms for timing analysis such as the Lomb-Scargle and the Generalized Lomb-Scargle periodogram

• pyaGUI: A collection of GUI tools for interactive work.

astroterm is a terminal-based star map written in C. It displays the real-time positions of stars, planets, constellations, and more, all within your terminal - no telescope required!

Package Raccoon cleans the "wiggles" (i.e., low-frequency sinusoidal artifacts) in the JWST-NIRSpec IFS (integral field spectroscopy) data. These wiggles are caused by resampling noise or aliasing artifacts.

This package provides a Python CDF reader toolkit.

It provides the following functionality:

• Ability to read variables and attributes from CDF files

• Writes CDF version 3 files

• Can convert between CDF time types (EPOCH/EPOCH16/TT2000) to other common time formats

• Can convert CDF files into XArray Dataset objects and vice versa, attempting to maintain ISTP compliance

This package implements a reader for CORSIKA binary output files using NumPy.

SNData provides an access to data releases published by a variety of supernova (SN) surveys. It is designed to support the development of scalable analysis pipelines that translate with minimal effort between and across data sets. A summary of accessible data is provided below. Access to additional surveys is added upon request or as needed for individual research projects undertaken by the developers.

This package provides shared libraries to interface Pascal program with standard astronomy libraries:

• libpasgetdss.so: Interface with GetDSS to work with DSS images.

• libpasplan404.so: Interface with Plan404 to compute planets position.

• libpaswcs.so: Interface with libwcs to work with FITS WCS.

• libpasspice.so: To work with NAIF/SPICE kernel.

The Python Satellite Data Analysis Toolkit (pysat) provides a simple and flexible interface for robust data analysis from beginning to end - including downloading, loading, cleaning, managing, processing, and analyzing data. Pysat's plug-in design allows analysis support for any data, including user provided data sets.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.

This package contains a helper functionality to test ROMAN and JWST.

swiftsimio is a toolkit for reading data produced by the SWIFT astrophysics simulation code. It is used to ensure that all data have a symbolic unit attached, and can be used for visualisation. Another key feature is the use of the cell metadata in SWIFT snapshots to enable efficient reading of sub-regions.

This package implements functionality for decomposition of Hydrogen content of simulation particles into neutral/ionized and atomic/molecular. Implementations of Blitz & Rosolowsky (2006) and Rahmati et al (2013).

ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.

It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.

This package implements a functionality for analysing absorption and emission lines in 1-D spectra, especially galaxy and quasar spectra.

This package provides an astronomical Python package with image processing functions: xyxymatch, geomap.

uranimator is a CLI tool that works with your existing (code uraniborg) install to create animations. See how the sky evolves over a million years or what traveling to a star 100 light years away looks like.

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, trimming a cube. The syntax is similar to pymcfost to perform quick and easy comparison with models.

This package provides utilities for accessing EAGLE public database.

healpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and builds with the HEALPix C++ library.

AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. It can make use of Lua scripts to make flagging strategies flexible, and the tools are applicable to a wide set of telescopes.

This package implements functionality for hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously. It allows fitting lenses with measured time delays, imaging information, kinematics constraints and standardizable magnifications with parameters described on the ensemble level.

High-level Data Reduction Library provides instrument-independent, high-level scientific functions for ESO data reduction pipelines. It aims to concentrate cross-pipeline algorithms in a single place, verify and homogenize algorithms, implement error propagation, and is extensively tested. Pipeline developers and instrument consortia can use HDRL so that bug-fixes and improvements benefit all pipelines that use it.

This package includes the HDRL library (built on top of the ESO Common Pipeline Library, unit tests, and documentation. The library covers functionalities such as: overscan, bias, dark, flat, bad-pixel handling, Strehl, fringing, catalogue operations, efficiency and response computation, refraction and airmass, pattern noise, resampling, limiting magnitude, and barycentric correction.