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nuance

Efficient detection of planets transiting quiet or active stars

https://github.com/lgrcia/nuance

Science Score: 49.0%

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    Found 1 DOI reference(s) in README
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    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (13.7%) to scientific vocabulary

Keywords

correlated-noise data-analysis exoplanets search systematics transits variability
Last synced: 9 months ago · JSON representation

Repository

Efficient detection of planets transiting quiet or active stars

Basic Info
Statistics
  • Stars: 19
  • Watchers: 2
  • Forks: 6
  • Open Issues: 8
  • Releases: 11
Topics
correlated-noise data-analysis exoplanets search systematics transits variability
Created over 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Zenodo

README.md

nuance

Efficient detection of planets transiting quiet or active stars

nuance uses linear models and Gaussian processes (using the JAX-based tinygp) to simultaneously search for planetary transits while modeling correlated noises (e.g. stellar variability) in a tractable way. See the paper for more details.

When to use nuance? - To detect single or periodic transits - When correlated noises are present in the data (e.g. stellar variability or instrumental systematics) - For space-based or sparse ground-based observations - To effectively find transits in light curves from multiple instruments - To use GPUs for fast transit searches

Documentation at nuance.readthedocs.io

Example

```python import numpy as np from nuance import linearsearch, periodicsearch, core

linear search

epochs = time.copy() durations = np.linspace(0.01, 0.2, 15) ls = linear_search(time, flux, gp=gp)(epochs, durations)

periodic search

periods = np.linspace(0.3, 5, 2000) snrfunction = jax.jit(core.snr(time, flux, gp=gp)) psfunction = periodicsearch(epochs, durations, ls, snrfunction) snr, params = ps_function(periods)

t0, D, P = params[np.argmax(snr)] ```

Installation

nuance is written for python 3 and can be installed using pip

shell pip install nuance

or from sources

shell git clone https://github.com/lgrcia/nuance cd nuance pip install -e .

Citation

If you find nuance useful for your research, cite Garcia et. al 2024. The BibTeX entry for the paper is:

@ARTICLE{2024AJ....167..284G, author = {{Garcia}, Lionel J. and {Foreman-Mackey}, Daniel and {Murray}, Catriona A. and {Aigrain}, Suzanne and {Feliz}, Dax L. and {Pozuelos}, Francisco J.}, title = "{nuance: Efficient Detection of Planets Transiting Active Stars}", journal = {\aj}, keywords = {Exoplanet detection methods, Stellar activity, Time series analysis, Gaussian Processes regression, Computational methods, GPU computing, 489, 1580, 1916, 1930, 1965, 1969, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics}, year = 2024, month = jun, volume = {167}, number = {6}, eid = {284}, pages = {284}, doi = {10.3847/1538-3881/ad3cd6}, archivePrefix = {arXiv}, eprint = {2402.06835}, primaryClass = {astro-ph.EP}, adsurl = {https://ui.adsabs.harvard.edu/abs/2024AJ....167..284G}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }

Owner

  • Name: Lionel J. Garcia
  • Login: lgrcia
  • Kind: user

GitHub Events

Total
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 3
  • Push event: 2
  • Pull request event: 3
  • Fork event: 2
  • Create event: 1
Last Year
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 3
  • Push event: 2
  • Pull request event: 3
  • Fork event: 2
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 90
  • Total Committers: 1
  • Avg Commits per committer: 90.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 73
  • Committers: 1
  • Avg Commits per committer: 73.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
lgrcia l****a@l****r 90
Committer Domains (Top 20 + Academic)
live.fr: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 11
  • Total pull requests: 23
  • Average time to close issues: 5 months
  • Average time to close pull requests: 13 days
  • Total issue authors: 4
  • Total pull request authors: 5
  • Average comments per issue: 0.36
  • Average comments per pull request: 0.48
  • Merged pull requests: 19
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 months
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.67
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • lgrcia (9)
  • TylerFair (1)
  • shermanlo77 (1)
  • catrionamurray (1)
Pull Request Authors
  • lgrcia (24)
  • talensgj (3)
  • shermanlo77 (2)
  • lgbouma (2)
  • dgegen (2)
Top Labels
Issue Labels
documentation (4) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 57 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 11
  • Total maintainers: 1
pypi.org: nuance

Transit signals detection among correlated noises

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 57 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Average: 31.5%
Downloads: 62.9%
Maintainers (1)
lgrcia
Last synced: 9 months ago

Dependencies

setup.py pypi
  • numpy *