Skip to main content

General astronomical data analysis and Hubble Space Telescope data calibration

Project description

stsci_python is a library of Python routines and C extensions that has been developed to provide a general astronomical data analysis infrastructure. Primary development has been done to support Hubble Space Telescope (HST) data calibration and analysis needs based on general purpose libraries from the environment. Several of the packages, though, can also be used to support data processing of astronomical data. It includes the following:

PyRAF

an environment for running IRAF tasks without using the IRAF CL

PyFITS

(released separately as well) used to read FITS images and tables into numpy or numarray objects and to manipulate FITS headers. See http://www.stsci.edu/institute/software_hardware/pyfits for full details.

pysynphot

a synthetic photometry package (still in development) designed to replace IRAF’s STSDAS.SYNPHOT. It is suitable for library or interactive use.

DrizzlePac

a package for aligning and combining STScI images. Full documentation available at http://drizzlepac.stsci.edu .

acstools

tasks for post-calibration processing of HST ACS images

calcos

calibration software for HST Cosmic Origins Spectrograph’s(COS) data

costools

tasks for post-calibration processing of HST COS data

fitsblender

general purpose package for merging FITS headers from multiple images into a single header

nictools

tasks for post-calibration processing of HST NICMOS images

stistools

tasks for post-calibration processing of HST STIS images

wfc3tools

tasks for post-calibration processing of HST WFC3 images

wfpc2tools

tasks for post-calibration processing of HST WFPC2 images

stsci.tools

provides TEAL interface for defining a GUI for running Python tasks based on configobj for managing parameters

imagestats

perform image statistics with sigma-clipping ierations

numdisplay

task to visualize numpy array objects using image display tools like ds9 and ximtool through IRAF’s IIS protocol

You can learn more about the complete stsci_python package, including reading the release notes, from our page at:

http://www.stsci.edu/institute/software_hardware/pyraf/stsci_python

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

stscipython-2.15.1.zip (54.5 kB view details)

Uploaded Source

stscipython-2.15.1.tar.gz (43.7 kB view details)

Uploaded Source

File details

Details for the file stscipython-2.15.1.zip.

File metadata

  • Download URL: stscipython-2.15.1.zip
  • Upload date:
  • Size: 54.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for stscipython-2.15.1.zip
Algorithm Hash digest
SHA256 f9f62ded4bb28d2a840293556888ed6f4a8c634683cf00636817f257a03406dc
MD5 84dd09c52a07fe38dfc0dcfeb67cc6fd
BLAKE2b-256 3b3da4e01dc7c32a616ef5ac736be92526629357e548256d8227a59dab4a4b36

See more details on using hashes here.

File details

Details for the file stscipython-2.15.1.tar.gz.

File metadata

File hashes

Hashes for stscipython-2.15.1.tar.gz
Algorithm Hash digest
SHA256 01cf47194c3309e802c41a50df14a09bf69dbe38b5f47d978ab041a2b55a8e3b
MD5 22e99ab01565c69ac680701d004fc22b
BLAKE2b-256 35705ff5f04094a807939b1ebcb1a49e4cdab884690e8516d7f56cb1993911c6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page