Skip to main content

An asimov plugin to make downloading gravitational wave data easier

Project description

Asimov GWData

This package provides an asimov pipeline for collecting published gravitational wave data for use in parameter estimation studies.

Usage

Fetching posteriors

To download a posterior file from a known location you'll need to write a YAML configuration file, for example,

data: 
  - posterior
source:
  type: pesummary
  location: /home/daniel/GW150914/test.h5
  analysis: C01:IMRPhenomXPHM

and then run

$ gwdata --settings test.yaml where test.yaml is the configuration file above.

Usage with asimov

The script can also be called as a pipeline in asimov. To do this you'll need to apply a blueprint to the project, for example:

kind: analysis
name: get-data
pipeline: gwdata
download:
  - posterior
event: GW150914
source:
  type: pesummary
  location: /home/daniel/<event>/test.h5
  analysis: C01:IMRPhenomXPHM

Project details


Download files

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

Source Distribution

asimov_gwdata-0.7.1.tar.gz (288.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

asimov_gwdata-0.7.1-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file asimov_gwdata-0.7.1.tar.gz.

File metadata

  • Download URL: asimov_gwdata-0.7.1.tar.gz
  • Upload date:
  • Size: 288.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for asimov_gwdata-0.7.1.tar.gz
Algorithm Hash digest
SHA256 368b7bec8fd1d64f683538bbe407dc6ce4959b5036845f512c19d926d88fca25
MD5 e0900526851828134cb4c91e9d469b4e
BLAKE2b-256 6f33cb2ba994c23b14bb014543573e03c7d54785d161ab33ebdcb82ce1e4d574

See more details on using hashes here.

File details

Details for the file asimov_gwdata-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: asimov_gwdata-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 20.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for asimov_gwdata-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1e9ffd306550adec215d7b05530e3616efceda7fe422ca16f6b7afcea867bffc
MD5 0552aa4da12d610185a736a4af043728
BLAKE2b-256 e347a8d68aed3f6cb55bae90f504cd5ea3698a923c5fb6e9690726359e28eb1c

See more details on using hashes here.

Supported by

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