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This package implements a functionality for calibration of science observations from the Nancy Grace Roman Space Telescope.
The iers package provides access to the tables provided by the International Earth Rotation and Reference Systems service, in particular the Earth Orientation data allowing interpolation of published UT1-UTC and polar motion values for given times. The UT1-UTC values are used in Time and Dates (astropy.time) to provide UT1 values, and the polar motions are used in astropy.coordinates to determine Earth orientation for celestial-to-terrestrial coordinate transformations.
This package provides a Glue plugin which adds a 3D scatter plot viewer and a 3D volume rendering viewer.
This package provides a flexible toolbox for observation planning and scheduling. When complete, the goal is to be easy for Python beginners and new observers to to pick up, but powerful enough for observatories preparing nightly and long-term schedules.
Features:
calculate rise/set/meridian transit times, alt/az positions for targets at observatories anywhere on Earth
built-in plotting convenience functions for standard observation planning plots (airmass, parallactic angle, sky maps)
determining observability of sets of targets given an arbitrary set of constraints (i.e., altitude, airmass, moon separation/illumination, etc.)
This package provides functions to import data from the Madrigal database (upper atmospheric science database) into pysat.
Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the National Astronomical Observatory of Japan (NAOJ), the Space Telescope Science Institute (STScI), and other contributing entities.
The Ginga toolkit centers around an image display object which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose "reference" FITS viewer is provided, based on a plugin framework. A fairly complete set of standard plugins are provided for features that we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.
skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).
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.
Sunwait calculates sunrise or sunset times with civil, nautical, astronomical and custom twilights. The sun's position is calculated using time, and position - latitude and longitude should be specified on the command line.
Features:
calculates sunrise and sunset for given coordinates
can wait for sunrise/sunset, or return DAY or NIGHT codes
works with Windows Task Scheduler (or cron)
supports custom twilight angles
used to automate domestic lighting with Arduino transmitter and radio controlled sockets
PyHDRL provides a Python 3 API (language bindings) for the ESO High Level Data Reduction Library (HDRL) using pybind11. It allows for using the ESO High Level Data Reduction Library in Python scripts, or directly in an interactive Python session, and thus allows for using HDRL algorithms in recipes implemented in Python as part of an instrument pipeline package.
Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.
TANGOS is a tool to build a database (along the lines of Eagle or MultiDark) for cosmological and zoom simulations.
Features:
designed to store and manage results from custom analysis code
provides web and Python interfaces
science-focussed queries across entire merger trees, without requiring any knowledge of SQL
manages the process of populating the database with science data, including auto-parallelising custom analysis
customization with multiple Python modules such as
pynbodyorytto process raw simulation datasupports file-based database SQLite, server-based MySQL and PostgreSQL
This package provides a wide variety of utilities, focused primarily on numerical python, statistics, and file input/output. Includes specialized tools for astronomers.
This package provides a Glue plugin for geospatial imagery.
Python library to interface with OpenSpace using TCP sockets.
PyBDSF (the Python Blob Detection and Source Finder) is a tool designed to decompose radio interferometry images into sources and make available their properties for further use. PyBDSF can decompose an image into a set of Gaussians, shapelets, or wavelets as well as calculate spectral indices and polarization properties of sources and measure the psf variation across an image. PyBDSF uses an interactive environment based on CASA that will be familiar to most radio astronomers. Additionally, PyBDSF may also be used in Python scripts.
Gammapy is an Python package for gamma-ray astronomy built on Numpy, Scipy and Astropy. It is used as core library for the Science Analysis tools of the Cherenkov Telescope Array (CTA), recommended by the H.E.S.S. collaboration to be used for Science publications, and is already widely used in the analysis of existing gamma-ray instruments, such as MAGIC VERITAS and HAWC.
The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.
The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.
spacetrack is a python module for Space-Track which promotes space flight safety, protection of the space environment and the peaceful use of space worldwide by sharing space situational awareness services and information with international satellite owners/operators, academia and other entities.
This package provides pysatSpaceWeather - a Python module, which contains routines to load common historic, real-time, and forecasted space weather indices as pysat.Instrument objects.
This package implements a functionality of AI-powered automated pipeline for lens modeling, with lenstronomy as the modeling engine.
Features:
AI-automated forward modeling for large samples of galaxy-scale lenses
flexible: supports both fully automated and semi-automated (with user tweaks) modes
multi-band lens modeling made simple
supports both galaxy–galaxy and galaxy–quasar systems
effortless syncing between local machines and High-Performance Computing Cluster
SPOT (Site Planning and Observation Tool) is a graphical tool for planning and conducting astronomical observations at a site.
This package provides ASDF schemas for validating transform tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.