3 releases
0.1.1 | Dec 18, 2020 |
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0.1.0 | Aug 6, 2019 |
#1220 in Algorithms
Used in 2 crates
6KB
110 lines
Python Package code is moved to light-curve-python
light-curve
Irregular time series analysis toolbox for Rust and Python
The project is aimed to build high-performance tools for light curve analysis suitable to process alert and archival data of current ZTF and future Vera Rubin Observatory LSST photometric surveys.
The most of the code base is written on Rust and split into several crates.
This repository contains light-curve
crate only, which will be an umbrella for all other Rust crates.
Please refer to a specific repository in this organisation to find a code you need:
light-curve
this repo containing alight-curve
crate which is WIPlight-curve-common
(Currently in this repo) Common tools for other crateslight-curve-dmdt
dm-dt mapper crate and executablelight-curve-feature
A collection of feature extractors for light curveslight-curve-interpol
WIP (currently in this repo) Light curve interpolation tools. Currently it includes linear interpolation onlylight-curve-python
Pythonlight-curve
andlight-curve-python
packages, a Python interface tolight-curve-feature
andlight-curve-dmdt
Cargo crates. It also contains few features implemented in pure Pythonbase-docker-images
Custom Docker images. Currently used for internal CI needs onlytest-data
Light-curve data required for testing, benchmarking and development of the new features
Versioning
All package versions are unlinked, for example light-curve-python v0.a.b
can depend on light-curve-dmdt v0.d.e
and light-curve-feature v0.f.g
. We use semver, so release 0.3.0
can be backward incompatible with 0.2.5
version of the same crate. Please refer to CHAMGELOG.md
files for the changes between versions.
Citation
If you found this project useful for your research please cite Malanchev et al., 2021
@ARTICLE{2021MNRAS.502.5147M,
author = {{Malanchev}, K.~L. and {Pruzhinskaya}, M.~V. and {Korolev}, V.~S. and {Aleo}, P.~D. and {Kornilov}, M.~V. and {Ishida}, E.~E.~O. and {Krushinsky}, V.~V. and {Mondon}, F. and {Sreejith}, S. and {Volnova}, A.~A. and {Belinski}, A.~A. and {Dodin}, A.~V. and {Tatarnikov}, A.~M. and {Zheltoukhov}, S.~G. and {(The SNAD Team)}},
title = "{Anomaly detection in the Zwicky Transient Facility DR3}",
journal = {\mnras},
keywords = {methods: data analysis, astronomical data bases: miscellaneous, stars: variables: general, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
year = 2021,
month = apr,
volume = {502},
number = {4},
pages = {5147-5175},
doi = {10.1093/mnras/stab316},
archivePrefix = {arXiv},
eprint = {2012.01419},
primaryClass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.5147M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Dependencies
~245KB