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Source: binoculars
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Picca Frédéric-Emmanuel <picca@debian.org>
Section: science
Priority: extra
Build-Depends: debhelper (>= 9),
dh-python,
gir1.2-hkl-5.0,
python3-all,
python3-numpy,
python3-pyfai,
python3-setuptools,
python3-sphinx
Standards-Version: 4.1.2
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/binoculars.git
Vcs-Git: git://anonscm.debian.org/debian-science/packages/binoculars.git
Homepage: https://github.com/id03/binoculars
Package: binoculars
Architecture: all
Depends: python3-binoculars (>= ${source:Version}),
${misc:Depends},
${python:Depends},
${shlibs:Depends}
Description: Data reduction and analysis software for two-dimensional detectors in surface X-ray diffraction
BINoculars is a tool for data reduction and analysis of large sets of
surface diffraction data that have been acquired with a
two-dimensional X-ray detector. The intensity of each pixel of a
two-dimensional detector is projected onto a three-dimensional grid
in reciprocal-lattice coordinates using a binning algorithm. This
allows for fast acquisition and processing of high-resolution data
sets and results in a significant reduction of the size of the data
set. The subsequent analysis then proceeds in reciprocal space. It
has evolved from the specific needs of the ID03 beamline at the ESRF,
but it has a modular design and can be easily adjusted and extended
to work with data from other beamlines or from other measurement
techniques.
Package: python3-binoculars
Architecture: all
Section: python
Depends: gir1.2-hkl-5.0, ${misc:Depends}, ${python:Depends}, ${shlibs:Depends}
Suggests: python-xrayutilities
Description: Data reduction and analysis software for two-dimensional detectors in surface X-ray diffraction - Python3
BINoculars is a tool for data reduction and analysis of large sets of
surface diffraction data that have been acquired with a
two-dimensional X-ray detector. The intensity of each pixel of a
two-dimensional detector is projected onto a three-dimensional grid
in reciprocal-lattice coordinates using a binning algorithm. This
allows for fast acquisition and processing of high-resolution data
sets and results in a significant reduction of the size of the data
set. The subsequent analysis then proceeds in reciprocal space. It
has evolved from the specific needs of the ID03 beamline at the ESRF,
but it has a modular design and can be easily adjusted and extended
to work with data from other beamlines or from other measurement
techniques.
.
This is the Python 3 version of the package.
Package: binoculars-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Description: Data reduction and analysis software for two-dimensional detectors in surface X-ray diffraction - Documentation
BINoculars is a tool for data reduction and analysis of large sets of
surface diffraction data that have been acquired with a
two-dimensional X-ray detector. The intensity of each pixel of a
two-dimensional detector is projected onto a three-dimensional grid
in reciprocal-lattice coordinates using a binning algorithm. This
allows for fast acquisition and processing of high-resolution data
sets and results in a significant reduction of the size of the data
set. The subsequent analysis then proceeds in reciprocal space. It
has evolved from the specific needs of the ID03 beamline at the ESRF,
but it has a modular design and can be easily adjusted and extended
to work with data from other beamlines or from other measurement
techniques.
.
This is the common documentation package.
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