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71 changes: 71 additions & 0 deletions paper/paper.bib
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Expand Up @@ -108,4 +108,75 @@ @inproceedings{pandas
pages={51--56},
year={2010},
organization={Austin, TX}
}

@ARTICLE{des3yr,
author = {{Abbott}, T.~M.~C. and {Allam}, S. and {Andersen}, P. and {Angus}, C. and
{Asorey}, J. and {Avelino}, A. and {Avila}, S. and {Bassett}, B.~A. and
{Bechtol}, K. and {Bernstein}, G.~M. and {Bertin}, E. and {Brooks}, D. and
{Brout}, D. and {Brown}, P. and {Burke}, D.~L. and {Calcino}, J. and
{Carnero Rosell}, A. and {Carollo}, D. and {Carrasco Kind}, M. and
{Carretero}, J. and {Casas}, R. and {Castander}, F.~J. and
{Cawthon}, R. and {Challis}, P. and {Childress}, M. and
{Clocchiatti}, A. and {Cunha}, C.~E. and {D'Andrea}, C.~B. and
{da Costa}, L.~N. and {Davis}, C. and {Davis}, T.~M. and
{De Vicente}, J. and {DePoy}, D.~L. and {Desai}, S. and {Diehl}, H.~T. and
{Doel}, P. and {Drlica-Wagner}, A. and {Eifler}, T.~F. and
{Evrard}, A.~E. and {Fernandez}, E. and {Filippenko}, A.~V. and
{Finley}, D.~A. and {Flaugher}, B. and {Foley}, R.~J. and
{Fosalba}, P. and {Frieman}, J. and {Galbany}, L. and
{Garc{\'\i}a-Bellido}, J. and {Gaztanaga}, E. and {Giannantonio}, T. and
{Glazebrook}, K. and {Goldstein}, D.~A. and
{Gonz{\'a}lez-Gait{\'a}n}, S. and {Gruen}, D. and {Gruendl}, R.~A. and
{Gschwend}, J. and {Gupta}, R.~R. and {Gutierrez}, G. and
{Hartley}, W.~G. and {Hinton}, S.~R. and {Hollowood}, D.~L. and
{Honscheid}, K. and {Hoormann}, J.~K. and {Hoyle}, B. and
{James}, D.~J. and {Jeltema}, T. and {Johnson}, M.~W.~G. and
{Johnson}, M.~D. and {Kasai}, E. and {Kent}, S. and {Kessler}, R. and
{Kim}, A.~G. and {Kirshner}, R.~P. and {Kovacs}, E. and {Krause}, E. and
{Kron}, R. and {Kuehn}, K. and {Kuhlmann}, S. and {Kuropatkin}, N. and
{Lahav}, O. and {Lasker}, J. and {Lewis}, G.~F. and {Li}, T.~S. and
{Lidman}, C. and {Lima}, M. and {Lin}, H. and {Macaulay}, E. and
{Maia}, M.~A.~G. and {Mandel}, K.~S. and {March}, M. and
{Marriner}, J. and {Marshall}, J.~L. and {Martini}, P. and
{Menanteau}, F. and {Miller}, C.~J. and {Miquel}, R. and {Miranda}, V. and
{Mohr}, J.~J. and {Morganson}, E. and {Muthukrishna}, D. and
{M{\"o}ller}, A. and {Neilsen}, E. and {Nichol}, R.~C. and {Nord}, B. and
{Nugent}, P. and {Ogando}, R.~L.~C. and {Palmese}, A. and
{Pan}, Y. -C. and {Plazas}, A.~A. and {Pursiainen}, M. and
{Romer}, A.~K. and {Roodman}, A. and {Rozo}, E. and {Rykoff}, E.~S. and
{Sako}, M. and {Sanchez}, E. and {Scarpine}, V. and {Schindler}, R. and
{Schubnell}, M. and {Scolnic}, D. and {Serrano}, S. and
{Sevilla-Noarbe}, I. and {Sharp}, R. and {Smith}, M. and
{Soares-Santos}, M. and {Sobreira}, F. and {Sommer}, N.~E. and
{Spinka}, H. and {Suchyta}, E. and {Sullivan}, M. and {Swann}, E. and
{Tarle}, G. and {Thomas}, D. and {Thomas}, R.~C. and {Troxel}, M.~A. and
{Tucker}, B.~E. and {Uddin}, S.~A. and {Walker}, A.~R. and
{Wester}, W. and {Wiseman}, P. and {Wolf}, R.~C. and {Yanny}, B. and
{Zhang}, B. and {Zhang}, Y. and {DES Collaboration}},
title = "{First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters}",
journal = {\apjl},
keywords = {dark energy, dark matter, Astrophysics - Cosmology and Nongalactic Astrophysics},
year = "2019",
month = "Feb",
volume = {872},
number = {2},
eid = {L30},
pages = {L30},
doi = {10.3847/2041-8213/ab04fa},
archivePrefix = {arXiv},
eprint = {1811.02374},
primaryClass = {astro-ph.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019ApJ...872L..30A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{sklearn,
title={Scikit-learn: Machine learning in Python},
author={Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and others},
journal={Journal of machine learning research},
volume={12},
number={Oct},
pages={2825--2830},
year={2011}
}
9 changes: 7 additions & 2 deletions paper/paper.md
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Expand Up @@ -20,7 +20,11 @@ bibliography: paper.bib

Pippin is a python pipeline for supernova cosmology analysis. It is designed to allow
a user to specify a cosmological analysis via a configuration file, and then
run that analysis, start to finish, in a single execution.
run that analysis, start to finish, in a single execution. Whilst other tools exist to perform
various aspects of supernova cosmology analyses independently, connecting the required tasks has so far been
a manual process. For the DES-3YR analysis [@des3yr], we implemented a basic bash pipeline to reduce
manual labour. For the DES-5YR analysis, which greatly increases complexity, I implement this pipeline to increase
researcher productivity.

To this end, Pippin interfaces
with multiple external programs in the execution of its derived tasks.
Expand All @@ -30,7 +34,8 @@ computing the required bias corrections and feeding the results
into CosmoMC [@cosmomc]. The MCMC outputs are then analysed in ChainConsumer [@ChainConsumer].

Additonal plots are performed via the matplotlib library [@matplotlib], and
makes use of various numpy [@numpy], scipy [@scipy] and pandas [@pandas] functions.
makes use of various numpy [@numpy], scipy [@scipy] and pandas [@pandas] functions. Several
machine learning functions make use of scikit-learn [@sklearn].

Any bugs or feature requests can be opened as issues on the Github
development page [@github].
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