Eniric

Eniric: Extended NIR Information Content - Published in JOSS (2019)

https://github.com/jason-neal/eniric

Science Score: 93.0%

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

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 16 DOI reference(s) in README and JOSS metadata
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Academic publication links
Links to: joss.theoj.org, zenodo.org
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Committers with academic emails
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

astronomy doppler python3 radial-velocity spectroscopy

Keywords from Contributors

pypi graph-generation cryptocurrencies ode meshes simulations gravitational-lenses research blackhole robot

Scientific Fields

Mathematics Computer Science - 84% confidence

Last synced: 4 months ago · JSON representation

Repository

Extended Near InfraRed spectra Information Content analysis.

Basic Info

Host: GitHub
Owner: jason-neal
License: mit
Language: Python
Default Branch: master
Homepage: https://eniric.readthedocs.io/
Size: 103 MB

Statistics

Stars: 10
Watchers: 0
Forks: 5
Open Issues: 9
Releases: 4

Topics

astronomy doppler python3 radial-velocity spectroscopy

Created about 9 years ago · Last pushed over 1 year ago

Metadata Files

Readme Changelog Contributing License

ENIRIC - Extended Near InfraRed Information Content

Eniric is a Python 3 software to compute the theoretical Radial Velocity (RV) precision of stellar spectra. Eniric is an overhaul and extension to the code used in Figueria et al. 2016 to analysis the precision of M-dwarf stars. Extending the performance and usability, it is able to be used on any synthetic spectra from the PHOENIX-ACES and BT-Settl (CIFIST2001-2015) libraries.

Checkout the documentation on Read the Docs!

Features:

Eniric contains a number of features to transform and prepare the spectra (observed and synthetic).

Spectral broadening

Allows for Rotational and Instrumental broadening of synthetic spectra given a rotation speed vsini and resolution R.
Atmospheric transmission masking

Analyzing the RV precision attainable under the different masking conditions presented in Figueira et al. 2016_.

The three conditions specifically treated are: * No contamination or treatment of atmospheric transmission * Masking all regions affected by atmospheric absorption of a given depth % over the course of the year. * Assuming perfect telluric correction in which the variance of the measured flux is impacted.

Relative RV precision

The RV precision can be calculated relative to a specified SNR per pixel in the center of a spectroscopic band. The default as used in the Figueira et al. 2016 is a SNR of 100 at the center of the J-band.

Spectral Resampling

Allows for resampling of synthetic spectra to N pixels per FWHM.

SNR normalization.

Normalize spectral flux to a defined SNR level.

Band selection

Analysis splitable into individual photometric bands Z\ , Y\ , J\ , H\ , K. User definable.

Theoretical RV precision

Compute spectral RV precision and spectral quality.

Incremental quality & precision

Determine the RV precision and spectral quality on narrow wavelength slices across the entire spectrum, similar to that present in Figure 1 of Artigau et al. 2018 <http://adsabs.harvard.edu/abs/2018AJ....155..198A>_.
Analyse relative precision of synthetic libraries

The RV precision of are present relative to a specified SNR per pixel in the center of a photometric band. The default as used in Figueira et al. 2016_ is a SNR of 100 at the center of the J-band.
- Available through [Starfish]'s() grid_tools.
  - PHOENIX-ACES
  - BT-Settl

Background

The origin of this code was used in Figueira et al. 2016.

P. Figueira, V. Zh. Adibekyan, M. Oshagh, J. J. Neal, B. Rojas-Ayala, C. Lovis, C. Melo, F. Pepe, N. C. Santos, M. Tsantaki, 2016,
Radial velocity information content of M dwarf spectra in the near-infrared,
Astronomy and Astrophysics, 586, A101

It had a number of efficiency issues with convolution which were improved upon

To reproduce the updated results for Figueira et al. 2016 run

phoenix_precision.py -t 3900 3500 2800 2600 -l 4.5 -m 0.5 -r 60000 80000 100000 -v 1.0 5.0 10.0 -b Z Y J H K

after installation and configuration.

Owner

Name: Jason Neal
Login: jason-neal
Kind: user
Location: NZ

Repositories: 59
Profile: https://github.com/jason-neal

Software developer, PhD Astronomy - Exoplanets / NIR spectroscopy / RV precision

JOSS Publication

Eniric: Extended NIR Information Content

Published

May 08, 2019

DOI

10.21105/joss.01053

Volume 4, Issue 37, Page 1053

Authors

J.j. Neal

Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, 4150-762, Porto, Portugal, Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 4169-007, Porto, Portugal

P. Figueira

European Southern Observatory, Alonso de Córdova 3107, Vitacura, Casilla 19001, Santiago 19, Chile, Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, 4150-762, Porto, Portugal

Editor

Arfon Smith

GitHub Events

Total

Last Year

Committers

Last synced: 5 months ago

All Time

Total Commits: 1,013
Total Committers: 9
Avg Commits per committer: 112.556
Development Distribution Score (DDS): 0.056

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Jason Neal	j**l@a**t	956
pyup-bot	g**t@p**o	48
dependabot[bot]	4****]	3
TrellixVulnTeam	1****m	1
Thomas Vandal	3****t	1
Kamuish	3****h	1
Cody	c**y@q**m	1
Codacy Badger	b**r@c**m	1
Arfon Smith	a****n	1

Committer Domains (Top 20 + Academic)

codacy.com: 1 quantifiedcode.com: 1 pyup.io: 1 astro.up.pt: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 20
Total pull requests: 94
Average time to close issues: 4 months
Average time to close pull requests: 2 months
Total issue authors: 2
Total pull request authors: 10
Average comments per issue: 0.9
Average comments per pull request: 0.86
Merged pull requests: 40
Bot issues: 0
Bot pull requests: 8

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

crawfordsm (12)
jason-neal (8)

Pull Request Authors

jason-neal (47)
pyup-bot (47)
dependabot[bot] (10)
snyk-bot (2)
vandalt (1)
Kamuish (1)
arfon (1)
sourcery-ai-bot (1)
TrellixVulnTeam (1)
sourcery-ai[bot] (1)

Top Labels

Issue Labels

enhancement (2) bug (1)

Pull Request Labels

dependencies (10)

Packages

Total packages: 1
Total downloads:
- pypi 15 last-month

Total dependent packages: 1
Total dependent repositories: 1
Total versions: 4
Total maintainers: 1

pypi.org: eniric

Extended NIR Information Content

Homepage: https://github.com/jason-neal/eniric.git
Documentation: https://eniric.readthedocs.io/
License: MIT
Latest release: 0.5.1
published over 7 years ago

Versions: 4
Dependent Packages: 1
Dependent Repositories: 1
Downloads: 15 Last month

Rankings

Dependent packages count: 4.8%

Forks count: 13.3%

Average: 17.7%

Stargazers count: 17.7%

Dependent repos count: 21.5%

Downloads: 31.2%

Maintainers (1)

JasonNeal

Last synced: 4 months ago

Dependencies

requirements.txt pypi

astropy >=3.0.0
astrostarfish *
joblib >=0.12.3
matplotlib *
numpy >=1.15.4
oyaml *
pandas *
pyyaml *
scipy *
tqdm *

requirements_dev.txt pypi

astropy ==3.2.3 development
astrostarfish eniric_suitable development
coverage ==4.5.4 development
hypothesis ==4.42.5 development
joblib ==0.14.0 development
matplotlib ==3.1.1 development
multiprocess ==0.70.9 development
mypy ==0.740 development
numpy ==1.17.3 development
oyaml ==0.9 development
pandas ==0.25.3 development
pre-commit ==1.20.0 development
pytest ==5.2.2 development
pytest-cov ==2.8.1 development
pyyaml ==5.4 development
scipy ==1.3.1 development
tqdm ==4.37.0 development

pyproject.toml pypi

setup.py pypi

Eniric

Science Score: 93.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

ENIRIC - Extended Near InfraRed Information Content

Features:

Contents

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JOSS Publication

Eniric: Extended NIR Information Content

Authors

Editor

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Issue Labels

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Packages

pypi.org: eniric

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Maintainers (1)

Dependencies