pystrometry

Package to support the analysis of high-precision astrometry timeseries, in particular the determination of Keplerian orbits.

https://github.com/johannes-sahlmann/pystrometry

Science Score: 64.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
✓
Academic publication links
Links to: zenodo.org
✓
Committers with academic emails
3 of 5 committers (60.0%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (11.8%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Package to support the analysis of high-precision astrometry timeseries, in particular the determination of Keplerian orbits.

Basic Info

Host: GitHub
Owner: Johannes-Sahlmann
License: bsd-3-clause
Language: Python
Default Branch: master
Size: 2.98 MB

Statistics

Stars: 17
Watchers: 3
Forks: 5
Open Issues: 4
Releases: 10

Created about 7 years ago · Last pushed 9 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

pystrometry - Support for high-precision astrometry timeseries analysis

This code collection evolved over the last 10+ years and does therefore not always conform with coding standards and best practices, but it is installable via PyPI: pip install pystrometry.

pystrometry provides a variety of functionalities and has been used in several publications. It is under active development.

Example usages

Plotting the orbital motion with default parameters
```
from pystrometry.pystrometry import OrbitSystem 

orb = OrbitSystem()  # default parameters
orb.plot_orbits()    
```
More customised orbit plotting example from this notebook: 2exoplanetexample_orbit.ipynb

Define the system parameters

from collections import OrderedDict
attribute_dict = OrderedDict([  ('RA_deg', 164.), 
                                ('DE_deg', -21.),
                                ('absolute_plx_mas', 27.), 
                                ('Tp_day', 57678.4), 
                                ('omega_deg', -23.),
                                ('P_day', 687.), 
                                ('ecc', 0.08), 
                                ('OMEGA_deg', 114.),
                                ('i_deg', 31.), 
                                ('m1_MS', 0.9),
                                ('m2_MJ', 3.)])

orb = OrbitSystem(attribute_dict)
orb.plot_orbits()

Compute the proper motion displacements in RA, Dec for the system:

t_mjd = np.linspace(50000, 52000)
delta_ra_star_mas, delta_dec_mas = orb.ppm(t_mjd)

Compute and plot the astrometric amplitudes of known exoplanets.
The code is in this notebook: 1exoplanetsignatures.ipynb

Example conda environment creation that allows for running the example notebooks

This requires a conda installation.

Create a dedicated environment (here named astrom) with the necessary dependencies:

conda create --name astrom --yes python=3.7 pandas=1.2.5 pip jupyterlab pyyaml uncertainties

Activate that environment:

conda activate astrom

Install pystrometry from PyPI:

pip install pystrometry

Open jupyter notebook, e.g.

jupyter notebook [path-to-downloaded-file]2_exoplanet_example_orbit.ipynb

Contributing

Please open a new issue or new pull request for bugs, feedback, or new features you would like to see. If there is an issue you would like to work on, please leave a comment and we will be happy to assist. New contributions and contributors are very welcome!

References

Citation

If you find this package useful, please consider citing the Zenodo record using the DOI badge above. Please find additional citation instructions in CITATION.

Owner

Name: Johannes Sahlmann
Login: Johannes-Sahlmann
Kind: user
Location: Madrid, Spain

Website: https://johannessahlmann.com
Repositories: 3
Profile: https://github.com/Johannes-Sahlmann

Citation (CITATION)

If you use `pystrometry` for work/research presented in a publication (whether directly,
or as a dependency to another package), we recommend and encourage the following acknowledgment:

  This research made use of pystrometry, an open source Python package for
  astrometry timeseries analysis (Sahlmann 2019).

where (Sahlmann 2019) is a citation of the Zenodo record, e.g.:

@software{johannes_sahlmann_2019_3515526,
  author       = {Johannes Sahlmann},
  title        = {Johannes-Sahlmann/pystrometry: Release for Zenodo},
  month        = oct,
  year         = 2019,
  publisher    = {Zenodo},
  version      = {v0.0dev59},
  doi          = {10.5281/zenodo.3515526},
  url          = {https://doi.org/10.5281/zenodo.3515526}
}

GitHub Events

Total

Create event: 4
Issues event: 3
Release event: 1
Watch event: 1
Issue comment event: 1
Push event: 28
Pull request event: 5

Last Year

Create event: 4
Issues event: 3
Release event: 1
Watch event: 1
Issue comment event: 1
Push event: 28
Pull request event: 5

Committers

Last synced: almost 3 years ago

All Time

Total Commits: 138
Total Committers: 5
Avg Commits per committer: 27.6
Development Distribution Score (DDS): 0.529

Top Committers

Name	Email	Commits
Johannes Sahlmann	j**n@s**t	65
Johannes Sahlmann	j**n@s**u	60
O . O	j**r@s**u	9
Nicolas Unger	n**r@u**h	3
NBauchet	5**t@u**m	1

Committer Domains (Top 20 + Academic)

stsci.edu: 2 unige.ch: 1 sciops.esa.int: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 7
Total pull requests: 24
Average time to close issues: about 3 years
Average time to close pull requests: about 1 month
Total issue authors: 4
Total pull request authors: 4
Average comments per issue: 0.43
Average comments per pull request: 0.42
Merged pull requests: 22
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 3
Pull requests: 5
Average time to close issues: N/A
Average time to close pull requests: about 22 hours
Issue authors: 3
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.2
Merged pull requests: 3
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

Johannes-Sahlmann (3)
pllim (2)
JanM1989 (1)
jlopezmi (1)

Pull Request Authors

Johannes-Sahlmann (23)
ojustino (2)
NBauchet (1)
nicochunger (1)

Top Labels

Issue Labels

enhancement (2)

Pull Request Labels

documentation (1)

Packages

Total packages: 1
Total downloads:
- pypi 40 last-month

Total dependent packages: 0
Total dependent repositories: 1
Total versions: 14
Total maintainers: 1

pypi.org: pystrometry

Support for astrometry timeseries analysis

Homepage: https://github.com/Johannes-Sahlmann/pystrometry
Documentation: https://pystrometry.readthedocs.io/
License: BSD 3-Clause
Latest release: 0.6.1
published over 1 year ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 40 Last month

Rankings

Dependent packages count: 9.8%

Stargazers count: 15.2%

Forks count: 15.4%

Average: 18.5%

Dependent repos count: 21.9%

Downloads: 30.2%

Maintainers (1)

Johannes-Sahlmann

Last synced: 7 months ago

Dependencies

setup.py pypi

astropy *
s.strip *

astropy_helpers/setup.py pypi

.github/workflows/python-package-conda.yml actions

actions/checkout v4 composite
actions/setup-python v3 composite

pystrometry

Science Score: 64.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

pystrometry - Support for high-precision astrometry timeseries analysis

Example usages

Example conda environment creation that allows for running the example notebooks

Contributing

References

Citation

Owner

Citation (CITATION)

GitHub Events

Total

Last Year

Committers

All Time

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: pystrometry

Rankings

Maintainers (1)

Dependencies