Skip to main content

Easy-to-use portal to the Gaia scanning law.

Project description

DOI

scanninglaw

The scanninglaw package aims to provide and easy-to-use portal to the Gaia scanning law. This package is entirely derivative of the truly excellent dustmaps package created by Gregory M. Green. The scanninglaw package is a product of the Completeness of the Gaia-verse (CoG) collaboration.

Supported Scanning Laws

The currently supported scanning laws are:

  1. Gaia DR2 scanning law (cogi_2020, Boubert, Everall & Holl 2020)
  2. Gaia DR2 scanning law (cog3_2020, Boubert, Everall, Fraser, Gration & Holl 2020)
  3. Gaia EDR3 nominal scanning law (dr3_nominal)
  4. Gaia DR2 ASF (cogiv_2020, Everall, Boubert, Koposov, Smith & Holl 2021)

To request addition of another sacnning law in this package, file an issue on GitHub, or submit a pull request.

Installation

Download the repository from GitHub and then run:

python setup.py install --large-data-dir=/path/where/you/want/large/data/files/stored

Getting the Data

To fetch the data for the GaiaDR2 scanning law, run:

python setup.py fetch --map-name=cog3_2020

You can download the other scanning laws by changing "cog3_2020".

Alternatively, if you have used pip to install scanninglaw, then you can configure the data directory and download the data by opening up a python interpreter and running:

from scanninglaw.config import config
config['data_dir'] = '/path/where/you/want/large/data/files/stored'

import scanninglaw.times
scanninglaw.times.fetch()

Querying the scanning law

Scanning laws are queried using Source objects, which are a variant on the astropy.coordinates.SkyCoord object. This means that any coordinate system supported by astropy can be used as input. For example, we can query the Gaia DR2 scanning law as follows:

import scanninglaw.times as times
from scanninglaw.source import Source

dr2_sl = times.dr2_sl()

c = Source(
      '22h54m51.68s',
      '-51d11m44.19s',
      frame='icrs')
print(dr2_sl(c))

Above, we have used the ICRS coordinate system (the inputs are RA and Dec). We can use other coordinate systems, such as Galactic coordinates, and we can provide coordinate arrays. The following example uses both features:

c = Source(
      [75.00000000, 130.00000000],
      [-89.00000000, 10.00000000],
      frame='galactic',
      unit='deg')
print(dr2_sl(c))

Query the Astrometry Spread Function

To estimate Gaia's expected 5D astrometry covariance for any source from the Astrometry Spread Function, we've added a module to the scanninglaw package.

Fetch the ASF data from Harvard Dataverse:

from scanninglaw.config import config
config['data_dir'] = '/path/where/you/want/large/data/files/stored'

import scanninglaw.asf
scanninglaw.asf.fetch()

And find the expected covariance of your source:

import scanninglaw.asf as asf
from scanninglaw.source import Source

dr2_asf = asf.asf(version='cogiv_2020')

c = Source(
        '22h54m51.68s',
        '-51d11m44.19s',
        photometry={'gaia_g':16.02},
        frame='icrs')
dr2_asf(c)

EDR3 Nominal scanning law

We've updated the repository for EDR3!

Fetch the nominal scanning law from the Gaia website:

>>> from scanninglaw.config import config
>>> config['data_dir'] = '/path/where/you/want/large/data/files/stored'
>>>
>>> import scanninglaw.times
>>> scanninglaw.times.fetch(version='dr3_nominal')

And find when your star was observed:

import scanninglaw.times as times
from scanninglaw.source import Source

dr3_sl = times.dr2_sl(version='dr3_nominal')

c = Source(
        '22h54m51.68s',
        '-51d11m44.19s',
        frame='icrs')
print(dr3_sl(c))

We haven't yet found the file for the DR3 published gaps but we'll incorporate those when we do!

Documentation

Read the full documentation at http://scanninglaw.readthedocs.io/en/latest/.

Citation

If you make use of this software in a publication, please always cite Green (2018) in The Journal of Open Source Software.

You should also cite the papers behind the scanning laws you use.

  1. cogi_2020 - Please cite Completeness of the Gaia-verse Paper I.
  2. cog3_2020 - Please cite Completeness of the Gaia-verse Paper III.
  3. cogiv_2020 (for the ASF) - Please cite Completeness of the Gaia-verse Paper IV.

Development

Development of scanninglaw takes place on GitHub, at https://github.com/gaiaverse/scanninglaw. Any bugs, feature requests, pull requests, or other issues can be filed there. Contributions to the software are welcome.

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

scanninglaw-1.1.1.tar.gz (5.2 MB view hashes)

Uploaded Source

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