Skip to main content

Primary beam code for the Murchison Widefield Array (MWA) radio telescope.

Project description

This is a release of mwa_hyperbeam, primary beam code for the MWA, obtained from the GitHub releases page.

Licensing

hyperbeam is licensed under the Mozilla Public License 2.0 (MPL 2.0). The LICENSE file is the relevant copy.

Other licenses are included from the hdf5 (COPYING-hdf5) and erfa (LICENSE-erfa) libraries. These are included because (as per the terms of the licenses) hdf5 and erfa are compiled inside the hyperbeam products in this tarball.

What are these different x86-64 versions?

They are microarchitecture levels. By default, Rust compiles for all x86-64 CPUs; this allows maximum compatibility, but potentially limits the runtime performance because many modern CPU features can't be used. Compiling at different levels allows the code to be optimised for different classes of CPUs so users can get something that works best for them.

Rule of thumb for which microarchitecture to use

You're probably safe with x86-64-v2, especially if your CPU was made after 2010. If your CPU is older than that, you may want x86-64. If your CPU is a little newer, x86-64-v3 is also likely to work. x86-64-v4 isn't widely supported (AVX-512), so only use that if you know it works.

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

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

mwa_hyperbeam-0.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ x86-64

mwa_hyperbeam-0.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

mwa_hyperbeam-0.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

mwa_hyperbeam-0.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

File details

Details for the file mwa_hyperbeam-0.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mwa_hyperbeam-0.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ee317c2fc17df66d85c0454555b1df154e6ce9d8aeb872f1d25340ea5d528bc2
MD5 ce42f4559cd2b44d0a18967bc3cd5dc7
BLAKE2b-256 519989b694d68ea6675b0ad4ee329cd6fad4563cf3751346efc587c465c91d3c

See more details on using hashes here.

File details

Details for the file mwa_hyperbeam-0.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mwa_hyperbeam-0.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7c432c0bedd500c6c68ecec16bbe255134e2babfa4d3575bd1aa407f51084c6c
MD5 912a0052500d0a65698ec9008e89cfab
BLAKE2b-256 f2d2e63e9d8f8b804265e635902c3beef10e1dc8399a9a3308b4126c153e3884

See more details on using hashes here.

File details

Details for the file mwa_hyperbeam-0.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mwa_hyperbeam-0.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 be665b74bdde89df0eaf79501a4356fd0d15f67f45123b0b081b147d187a53b1
MD5 8c78b895f9eccae37552985283832afa
BLAKE2b-256 26bb717ab714906db6c99eafac47e5478895f664ad148c29c7ae06a0ebfbcaae

See more details on using hashes here.

File details

Details for the file mwa_hyperbeam-0.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mwa_hyperbeam-0.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 45fc7cee5a211aa4b583c5020a40cbf09d4d7edd98f19953433ef00e51b0cfda
MD5 6b464a64c4658424b64f2723a608c03a
BLAKE2b-256 93ec69fa267220a03c6479109303b3cab28796eed68365d4dd085a815dfb5e1e

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