Acknowledgement#
If you find prose useful for your research, cite Garcia et. al 2022. The BibTeX entry for the paper is:
@ARTICLE{prose,
author = {{Garcia}, Lionel J. and {Timmermans}, Mathilde and {Pozuelos}, Francisco J. and {Ducrot}, Elsa and {Gillon}, Micha{\"e}l and {Delrez}, Laetitia and {Wells}, Robert D. and {Jehin}, Emmanu{\"e}l},
title = "{PROSE: a PYTHON framework for modular astronomical images processing}",
journal = {\mnras},
keywords = {instrumentation: detectors, methods: data analysis, planetary systems, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics},
year = 2022,
month = feb,
volume = {509},
number = {4},
pages = {4817-4828},
doi = {10.1093/mnras/stab3113},
archivePrefix = {arXiv},
eprint = {2111.02814},
primaryClass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.4817G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Citing a Sequence dependencies#
new in prose 3.1.0
prose depends on a lot of Python packages and published methods. When using prose in your research, you can generate a complete aknowledgment sentence (and associated BibTeX entries) based on the blocks used in a Sequence.
For example, given the following Sequence
from prose import Sequence, blocks
sequence = Sequence(
[
blocks.PointSourceDetection(),
blocks.psf.Moffat2D(),
blocks.AperturePhotometry(),
blocks.catalogs.GaiaCatalog(),
]
)
the following citation can be extracted
acknowledgement, bibtex = sequence.citations()
where acknowledgement contains the aknowledgment sentence and bibtex the necessary BibTeX entries. Please make sure to check the generated text and BibTeX entries before using them in your work.
print(acknowledgement, "\n")
print(bibtex[0:500], "...")
This research made use of \textsf{prose} \citep{prose} and its dependencies (scikit-image \citep{scikit-image}, astroquery \citep{astroquery}, photutils \citep{photutils}, numpy \citep{numpy}, scipy \citep{scipy} and astropy \citep{astropy}).
@article{scikit-image,
title = {scikit-image: image processing in {P}ython},
author = {van der Walt, {S}t'efan and {S}ch"onberger, {J}ohannes {L}. and
{Nunez-Iglesias}, {J}uan and {B}oulogne, {F}ran\c{c}ois and {W}arner,
{J}oshua {D}. and {Y}ager, {N}eil and {G}ouillart, {E}mmanuelle and
{Y}u, {T}ony and the scikit-image contributors},
year = {2014},
month = {6},
keywords = {Image processing, Reproducible research, Education,
Visualization, Ope ...