MultiDrizzle automates and
simplifies the
detection of cosmic-rays and the combination of dithered observations
using the Python
scripting language and PyRAF, the
Python-based interface to IRAF. MultiDrizzle was developed
by the Science Software Branch at the Space Telescope Science Institute.
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Latest News
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An updated version of
PyDrizzle, Version 6.1.1 , has been released as a patch to the current release STScI_Python
2.6. This new version of PyDrizzle corrects a problem specific to NICMOS data. Only users
who anticipate using Multidrizzle with Nicmos data should upgrade. Follow the installation notes to upgrade PyDrizzle within the current stsci_python release.
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Latest Release
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A updated version of
MultiDrizzle, Version 3.1.0 , has been released as part of STScI_Python
2.6 alongside
STSDAS Version
3.8. This new version of MultiDrizzle provides improved
support for images from more HST instruments.
This version supercedes all previous
versions of MultiDrizzle, and requires Python Version
2.4.0 (or later) and numpy Version 1.0 (or greater) for
installation. |
Learning about MultiDrizzle
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MultiDrizzle Manuals
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Chapter 1 of the MultiDrizzle
User's Guide (PDF)
provides instructions on how to run
MultiDrizzle under Python and describes the parameters used by
MultiDrizzle. The Dither
Handbook provides background on the algorithm used by MultiDrizzle
and examples on how it can be used with different datasets. A preliminary paper describes the
conventions used for the shiftfile
used as input to MultiDrizzle for improving registration when
combining images.
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Frequently
Asked Questions
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Up to date news about the use and
development of MultiDrizzle can be found on the MultiDrizzle Blog.
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Known Bugs
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Summary of known bugs and any available suggestions
on workarounds. (Updated:
15 November 2006)
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Summary of behavior and limitations for MultiDrizzle processing of data
from HST instruments. |
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ACS pipeline calibration processing currently uses PyDrizzle
to perform
distortion correction on all ACS observations. More information
on
this application of PyDrizzle, and others, can be found on the ACS
Drizzle Page. |
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A collection of papers
and presentations describing MultiDrizzle and its development can
be found on the MultiDrizzle Papers
page.
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MultiDrizzle Availability
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MultiDrizzle v3.1.0 can be downloaded as the
STSCI_PYTHON
package from the STSCI_PYTHON
download page. This package provides all the necessary code
for running MultiDrizzle from Python without IRAF, STSDAS or
PyRAF. The IRAF interface gets provided by the Dither package in
the release of STSDAS
Version 3.8.
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Information on what was
changed in the last version can be found here.
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MultiDrizzle Requirements
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Multidrizzle REQUIRES the use of numpy
version 1.0 (or greater).
Numpy should have been installed with PyRAF, but if not, can be
downloaded
from the numpy
development site. |
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MultiDrizzle relies on features of Python 2.4 for its
implementation. |
PMW
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Parameter handling gets done by
the 'traits' package from SciPy, which relies on PMW for building the GUIs when
only using the Python interface for MultiDrizzle without PyRAF.
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F2C
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The interface used by
MultiDrizzle to call the 'drizzle' tasks directly from Python get built
using F2C.
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MultiDrizzle uses PyRAF to control the operation of IRAF
tasks and to
setup a parameter-based interface. OPTIONAL:This
is only necessary for providing the IRAF EPAR interface. |
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STSDAS Version 3.3 and later versions automatically load
Python tasks
and packages found in the STSDAS tree, including MultiDrizzle. OPTIONAL:This
is only necessary for providing the IRAF EPAR interface.
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