Ubuntu
wsclean package

wsclean 2.8-1build2 source package in Ubuntu

Changelog

wsclean (2.8-1build2) focal; urgency=medium

  * No change rebuild against new boost1.71 ABI

 -- Dimitri John Ledkov <email address hidden>  Mon, 03 Feb 2020 22:04:06 +0000

Upload details

Uploaded by:
Dimitri John Ledkov
Uploaded to:
Focal
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Downloads

File Size SHA-256 Checksum
wsclean_2.8.orig.tar.bz2 278.9 KiB 30c7b1ba31e88b85266206e17d95987c2b24d7849c572c3c8c7c86fd1396a729
wsclean_2.8-1build2.debian.tar.xz 10.9 KiB 0542068d4010c141c658b13ff222a70fe40bb7315c7fe3bd96332e1f9267bbc3
wsclean_2.8-1build2.dsc 2.3 KiB 122bfb5312fb544349e64e4fd54c283c985b7b2d168fb01968a2c5027d900f05

Available diffs

View changes file

Binary packages built by this source

libwsclean2: No summary available for libwsclean2 in ubuntu groovy.

No description available for libwsclean2 in ubuntu groovy.

libwsclean2-dbgsym: debug symbols for libwsclean2
wsclean: Fast generic widefield interferometric imager

 WSClean (w-stacking clean) is a fast generic widefield imager. It uses the
 w-stacking algorithm and can make use of the w-snapshot algorithm. As of
 Feb 2014, it is 2-12 times faster than CASA's w-projection, depending on the
 array configuration. It supports full-sky imaging and proper beam correction
 for homogeneous dipole arrays such as the MWA.
 .
 WSClean allows Hogbom and Cotton-Schwab cleaning, and can clean polarizations
 joinedly. All operations are performed on the CPU (it is not specialized for
 GPUs).

wsclean-dbgsym: No summary available for wsclean-dbgsym in ubuntu groovy.

No description available for wsclean-dbgsym in ubuntu groovy.

wsclean-dev: Fast generic widefield interferometric imager (development files)

 WSClean (w-stacking clean) is a fast generic widefield imager. It uses the
 w-stacking algorithm and can make use of the w-snapshot algorithm. As of
 Feb 2014, it is 2-12 times faster than CASA's w-projection, depending on the
 array configuration. It supports full-sky imaging and proper beam correction
 for homogeneous dipole arrays such as the MWA.
 .
 WSClean allows Hogbom and Cotton-Schwab cleaning, and can clean polarizations
 joinedly. All operations are performed on the CPU (it is not specialized for
 GPUs).
 .
 This package contains the static library and the header file to
 compile own programs against the library.