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@book{goodfellow2016deep,
title={Deep learning},
author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
year={2016},
publisher={MIT press}
}
%% Insert your bibliography here
@article{Ketter2016,
title = {{A Multiagent Competitive Gaming Platform to Address Societal Challenges}},
year = {2016},
journal = {MIS Quarterly},
author = {Ketter, Wolfgang and Peters, Markus and Collins, John},
number = {2},
pages = {447--460},
volume = {40},
isbn = {02767783},
doi = {10.25300/MISQ/2016/40.2.09},
issn = {02767783},
}
%The Astrophysical Journal Supplement Series
% -----------------------------------------------------------------------------------------------------------
% -----------------------------------------------------------------------------------------------------------
% ----------------- BAYESIAN -----------------------
% -----------------------------------------------------------------------------------------------------------
% -----------------------------------------------------------------------------------------------------------
@ARTICLE{emcee2013,
author = {{Foreman-Mackey}, Daniel and {Hogg}, David W. and {Lang}, Dustin and {Goodman}, Jonathan},
title = "{emcee: The MCMC Hammer}",
journal = {Publications of the Astronomical Society of the Pacific},
keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Computational Physics, Statistics - Computation},
year = 2013,
month = mar,
volume = {125},
number = {925},
pages = {306},
doi = {10.1086/670067},
archivePrefix = {arXiv},
eprint = {1202.3665},
primaryClass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{EnsSampl_2010,
author = {{Goodman}, Jonathan and {Weare}, Jonathan},
title = "{Ensemble samplers with affine invariance}",
journal = {Communications in Applied Mathematics and Computational Science},
keywords = {Markov chain Monte Carlo, affine invariance, ensemble samplers},
year = 2010,
month = jan,
volume = {5},
number = {1},
pages = {65-80},
doi = {10.2140/camcos.2010.5.65},
adsurl = {https://ui.adsabs.harvard.edu/abs/2010CAMCS...5...65G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ultranest2021,
author = {{Buchner}, Johannes},
title = "{UltraNest - a robust, general purpose Bayesian inference engine}",
journal = {The Journal of Open Source Software},
keywords = {C, Monte Carlo, Python, Nested Sampling, C++, Bayesian inference, Fortran, Bayes factors, Statistics - Computation, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2021,
month = apr,
volume = {6},
number = {60},
eid = {3001},
pages = {3001},
doi = {10.21105/joss.03001},
archivePrefix = {arXiv},
eprint = {2101.09604},
primaryClass = {stat.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021JOSS....6.3001B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{NestSam2021,
author = {{Buchner}, Johannes},
title = "{Nested Sampling Methods}",
journal = {arXiv e-prints},
keywords = {Statistics - Computation, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2021,
month = jan,
eid = {arXiv:2101.09675},
pages = {arXiv:2101.09675},
doi = {10.48550/arXiv.2101.09675},
archivePrefix = {arXiv},
eprint = {2101.09675},
primaryClass = {stat.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv210109675B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Higson2019,
author = {{Higson}, Edward and {Handley}, Will and {Hobson}, Mike and {Lasenby}, Anthony},
title = "{Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation}",
journal = {Statistics and Computing},
keywords = {Statistics - Computation, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Data Analysis, Statistics and Probability, Statistics - Methodology, Statistics - Computation, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Data Analysis, Statistics and Probability, Statistics - Methodology},
year = 2019,
month = sep,
volume = {29},
number = {5},
pages = {891-913},
doi = {10.1007/s11222-018-9844-0},
archivePrefix = {arXiv},
eprint = {1704.03459},
primaryClass = {stat.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019S&C....29..891H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Handley2015,
author = {{Handley}, W.~J. and {Hobson}, M.~P. and {Lasenby}, A.~N.},
title = "{polychord: nested sampling for cosmology.}",
journal = "Monthly Notices of the Royal Astronomical Society",
keywords = {methods: data analysis, methods: statistical, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2015,
month = jun,
volume = {450},
pages = {L61-L65},
doi = {10.1093/mnrasl/slv047},
archivePrefix = {arXiv},
eprint = {1502.01856},
primaryClass = {astro-ph.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2015MNRAS.450L..61H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{NestSample_2016,
author = {{Buchner}, Johannes},
title = "{A statistical test for Nested Sampling algorithms}",
journal = {Statistics and Computing},
year = 2016,
month = jan,
volume = {26},
number = {1-2},
pages = {383-392},
doi = {10.1007/s11222-014-9512-y},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016S&C....26..383B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{NestSample_2019,
author = {{Buchner}, Johannes},
title = "{Collaborative Nested Sampling: Big Data versus Complex Physical Models}",
journal = {Publications of the Astronomical Society of the Pacific},
year = 2019,
month = oct,
volume = {131},
number = {1004},
pages = {108005},
doi = {10.1088/1538-3873/aae7fc},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019PASP..131j8005B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{RedRef16_2019,
author = {{Falkendal}, Theresa and {De Breuck}, Carlos and {Lehnert}, Matthew D. and {Drouart}, Guillaume and {Vernet}, Jo{\"e}l and {Emonts}, Bjorn and {Lee}, Minju and {Nesvadba}, Nicole P.~H. and {Seymour}, Nick and {B{\'e}thermin}, Matthieu and {Kolwa}, Sthabile and {Gullberg}, Bitten and {Wylezalek}, Dominika},
title = "{Massive galaxies on the road to quenching: ALMA observations of powerful high redshift radio galaxies}",
journal = {Astronomy \& Astrophysics},
keywords = {galaxies: active, galaxies: high-redshift, galaxies: jets, galaxies: ISM, galaxies: evolution, galaxies: star formation, Astrophysics - Astrophysics of Galaxies},
year = 2019,
month = jan,
volume = {621},
eid = {A27},
pages = {A27},
doi = {10.1051/0004-6361/201732485},
archivePrefix = {arXiv},
eprint = {1809.09427},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019A&A...621A..27F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ptemcee2021,
author = {{Vousden}, Will and {Farr}, Will M. and {Mandel}, Ilya},
title = "{ptemcee: A parallel-tempered version of emcee}",
keywords = {Software},
journal = {Astrophysics Source Code Library (record ascl:2101.006)},
year = 2021,
month = jan,
adsurl = {https://ui.adsabs.harvard.edu/abs/2021ascl.soft01006V},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ptemcee2016,
author = {{Vousden}, W.~D. and {Farr}, W.~M. and {Mandel}, I.},
title = "{Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations}",
journal = {Monthly Notices of the Royal Astronomical Society},
keywords = {methods: data analysis, methods: numerical, methods: statistical, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2016,
month = jan,
volume = {455},
number = {2},
pages = {1919-1937},
doi = {10.1093/mnras/stv2422},
archivePrefix = {arXiv},
eprint = {1501.05823},
primaryClass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016MNRAS.455.1919V},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ParalTemp_2005,
author = {{Earl}, David J. and {Deem}, Michael W.},
title = "{Parallel tempering: Theory, applications, and new perspectives}",
journal = {Physical Chemistry Chemical Physics (Incorporating Faraday Transactions)},
keywords = {Physics - Computational Physics, Condensed Matter - Statistical Mechanics, Physics - Chemical Physics},
year = 2005,
month = jan,
volume = {7},
number = {23},
pages = {3910},
doi = {10.1039/B509983H},
archivePrefix = {arXiv},
eprint = {physics/0508111},
primaryClass = {physics.comp-ph},
adsurl = {https://ui.adsabs.harvard.edu/abs/2005PCCP....7.3910E},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ParalTemp_2014,
author = {{Sambridge}, Malcolm},
title = "{A Parallel Tempering algorithm for probabilistic sampling and multimodal optimization}",
journal = {Geophysical Journal International},
keywords = {Numerical solutions, Inverse theory},
year = 2014,
month = jan,
volume = {196},
number = {1},
pages = {357-374},
doi = {10.1093/gji/ggt342},
adsurl = {https://ui.adsabs.harvard.edu/abs/2014GeoJI.196..357S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{ParalTemp_2013,
author = {Sambridge, Malcolm},
title = "{A Parallel Tempering algorithm for probabilistic sampling and multimodal optimization}",
journal = {Geophysical Journal International},
volume = {196},
number = {1},
pages = {357-374},
year = {2013},
month = {10},
abstract = "{Non-linear inverse problems in the geosciences often involve probabilistic sampling of multimodal density functions or global optimization and sometimes both. Efficient algorithmic tools for carrying out sampling or optimization in challenging cases are of major interest. Here results are presented of some numerical experiments with a technique, known as Parallel Tempering, which originated in the field of computational statistics but is finding increasing numbers of applications in fields ranging from Chemical Physics to Astronomy. To date, experience in use of Parallel Tempering within earth sciences problems is very limited. In this paper, we describe Parallel Tempering and compare it to related methods of Simulated Annealing and Simulated Tempering for optimization and sampling, respectively. A key feature of Parallel Tempering is that it satisfies the detailed balance condition required for convergence of Markov chain Monte Carlo (McMC) algorithms while improving the efficiency of probabilistic sampling. Numerical results are presented on use of Parallel Tempering for trans-dimensional inversion of synthetic seismic receiver functions and also the simultaneous fitting of multiple receiver functions using global optimization. These suggest that its use can significantly accelerate sampling algorithms and improve exploration of parameter space in optimization. Parallel Tempering is a meta-algorithm which may be used together with many existing McMC sampling and direct search optimization techniques. It's generality and demonstrated performance suggests that there is significant potential for applications to both sampling and optimization problems in the geosciences.}",
issn = {0956-540X},
doi = {10.1093/gji/ggt342},
url = {https://doi.org/10.1093/gji/ggt342},
eprint = {https://academic.oup.com/gji/article-pdf/196/1/357/39595698/gji\_196\_1\_357.pdf},
}
@ARTICLE{Carnall2018,
author = {{Carnall}, A.~C. and {McLure}, R.~J. and {Dunlop}, J.~S. and {Dav{\'e}}, R.},
title = "{Inferring the star formation histories of massive quiescent galaxies with BAGPIPES: evidence for multiple quenching mechanisms}",
journal = "Monthly Notices of the Royal Astronomical Society",
keywords = {methods: statistical, galaxies: evolution, galaxies: star formation, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2018,
month = nov,
volume = {480},
number = {4},
pages = {4379-4401},
doi = {10.1093/mnras/sty216910.48550/arXiv.1712.04452},
archivePrefix = {arXiv},
eprint = {1712.04452},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.4379C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@INPROCEEDINGS{Skilling2005,
author = {{Skilling}, John},
title = "{Bayesics}",
keywords = {02.50.Tt, 02.10.Ab, 02.50.Cw, 05.30.-d, Inference methods, Logic and set theory, Probability theory, Quantum statistical mechanics},
booktitle = {Bayesian Inference and Maximum Entropy Methods in Science and Engineering},
year = 2005,
editor = {{Knuth}, Kevin H. and {Abbas}, Ali E. and {Morris}, Robin D. and {Castle}, J. Patrick},
series = {American Institute of Physics Conference Series},
volume = {803},
month = nov,
pages = {3-24},
doi = {10.1063/1.2149776},
adsurl = {https://ui.adsabs.harvard.edu/abs/2005AIPC..803....3S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Skilling2006,
author = {Skilling, John},
year = {2006},
month = {12},
pages = {833-860},
title = {Skilling, J.: Nested sampling for general Bayesian computation. Bayesian Anal. 1(4), 833-860},
volume = {1},
journal = {Bayesian Analysis},
doi = {10.1214/06-BA127}
}
@ARTICLE{Narayanan2023,
author = {{Narayanan}, Desika and {Lower}, Sidney and {Torrey}, Paul and {Brammer}, Gabriel and {Cui}, Weiguang and {Dave}, Romeel and {Iyer}, Kartheik and {Li}, Qi and {Lovell}, Christopher and {Sales}, Laura and {Stark}, Daniel P. and {Marinacci}, Federico and {Vogelsberger}, Mark},
title = "{Outshining by Recent Star Formation Prevents the Accurate Measurement of High-z Galaxy Stellar Masses}",
journal = {arXiv e-prints},
keywords = {Astrophysics - Astrophysics of Galaxies},
year = 2023,
month = jun,
eid = {arXiv:2306.10118},
pages = {arXiv:2306.10118},
doi = {10.48550/arXiv.2306.10118},
archivePrefix = {arXiv},
eprint = {2306.10118},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2023arXiv230610118N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Lower2023,
author = {{Lower}, Sidney and {Narayanan}, Desika and {Li}, Qi and {Dav{\'e}}, Romeel},
title = "{Cosmic Sands: The Origin of Dusty, Star-forming Galaxies in the Epoch of Reionization}",
journal = {The Astrophysical Journal},
keywords = {Galaxies, Hydrodynamical simulations, Ultraluminous infrared galaxies, Starburst galaxies, 573, 767, 1735, 1570, Astrophysics - Astrophysics of Galaxies},
year = 2023,
month = jun,
volume = {950},
number = {2},
eid = {94},
pages = {94},
doi = {10.3847/1538-4357/accf8c},
archivePrefix = {arXiv},
eprint = {2212.02636},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2023ApJ...950...94L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{HonigKishi2010,
author = {{H{\"o}nig}, S.~F. and {Kishimoto}, M.},
title = "{The dusty heart of nearby active galaxies. II. From clumpy torus models to physical properties of dust around AGN}",
journal = {Astronomy \& Astrophysics},
keywords = {galaxies: Seyfert, galaxies: nuclei, infrared: galaxies, X-rays: galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
year = 2010,
month = nov,
volume = {523},
eid = {A27},
pages = {A27},
doi = {10.1051/0004-6361/200912676},
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eprint = {0909.4539},
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Elitzur2006,
author = {{Elitzur}, Moshe and {Shlosman}, Isaac},
title = "{The AGN-obscuring Torus: The End of the ``Doughnut'' Paradigm?}",
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@ARTICLE{Acquaviva2011,
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title = "{Spectral Energy Distribution Fitting with Markov Chain Monte Carlo: Methodology and Application to z = 3.1 Ly{\ensuremath{\alpha}}-emitting Galaxies}",
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@ARTICLE{Leja2013,
author = {{Leja}, Joel and {van Dokkum}, Pieter and {Franx}, Marijn},
title = "{Tracing Galaxies through Cosmic Time with Number Density Selection}",
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author = {{Iyer}, Kartheik and {Gawiser}, Eric},
title = "{Reconstruction of Galaxy Star Formation Histories through SED Fitting:The Dense Basis Approach}",
journal = {The Astrophysical Journal},
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}
@ARTICLE{Iyer2019,
author = {{Iyer}, Kartheik G. and {Gawiser}, Eric and {Faber}, Sandra M. and {Ferguson}, Henry C. and {Kartaltepe}, Jeyhan and {Koekemoer}, Anton M. and {Pacifici}, Camilla and {Somerville}, Rachel S.},
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author = {{Dwek}, Eli},
title = "{Interstellar dust: what is it, how does it evolve, and what are its observational consequences?}",
keywords = {98.58.Ca, Interstellar dust grains, diffuse emission, infrared cirrus, Astrophysics},
booktitle = {The Spectral Energy Distributions of Gas-Rich Galaxies: Confronting Models with Data},
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eprint = {astro-ph/0412344},
primaryClass = {astro-ph},
adsurl = {https://ui.adsabs.harvard.edu/abs/2005AIPC..761..103D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ISMDust2020,
author = {{Triani}, Dian P. and {Sinha}, Manodeep and {Croton}, Darren J. and {Pacifici}, Camilla and {Dwek}, Eli},
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primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.2490T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{ISM2022,
author = {{Saintonge}, Am{\'e}lie and {Catinella}, Barbara},
title = "{The Cold Interstellar Medium of Galaxies in the Local Universe}",
journal = "Annual Review of Astronomy and Astrophysics",
keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
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doi = {10.1146/annurev-astro-021022-043545},
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primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022ARA&A..60..319S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Petropoulou2015,
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title = "{Photohadronic origin of {\ensuremath{\gamma}} -ray BL Lac emission: implications for IceCube neutrinos}",
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primaryClass = {astro-ph.HE},
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primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv220805938I},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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author = {{Pacifici}, Camilla and {Kassin}, Susan A. and {Weiner}, Benjamin and {Charlot}, St{\'e}phane and {Gardner}, Jonathan P.},
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@INPROCEEDINGS{Betancourt2012,
author = {{Betancourt}, Michael},
title = "{Cruising the simplex: Hamiltonian Monte Carlo and the Dirichlet distribution}",
keywords = {Physics - Data Analysis, Statistics and Probability},
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% -----------------------------------------------------------------------------------------------------------
% -----------------------------------------------------------------------------------------------------------
% ----------------------- Python Packages ----------------------------------
% -----------------------------------------------------------------------------------------------------------
% -----------------------------------------------------------------------------------------------------------
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title = "{Array programming with NumPy}",
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@ARTICLE{matplotlib,
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title = {pandas-dev/pandas: Pandas},
month = jan,
year = 2023,
note = {If you use this software, please cite it as below.},
publisher = {Zenodo},
version = {v1.5.3},
doi = {10.5281/zenodo.7549438},
url = {https://doi.org/10.5281/zenodo.7549438}
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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author = {{Kennicutt}, Robert C. and {Evans}, Neal J.},
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keywords = {galaxies: dwarf, galaxies: formation, galaxies: high-redshift, galaxies: starburst, Astrophysics - Cosmology and Nongalactic Astrophysics},
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primaryClass = {astro-ph.CO},
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@ARTICLE{GAMA2009,
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year = 2009,
month = oct,
volume = {50},
number = {5},
pages = {5.12-5.19},
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eprint = {0910.5123},
primaryClass = {astro-ph.CO},
adsurl = {https://ui.adsabs.harvard.edu/abs/2009A&G....50e..12D},
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}
@ARTICLE{COSMOS152016,
author = {{Laigle}, C. and {McCracken}, H.~J. and {Ilbert}, O. and {Hsieh}, B.~C. and {Davidzon}, I. and {Capak}, P. and {Hasinger}, G. and {Silverman}, J.~D. and {Pichon}, C. and {Coupon}, J. and {Aussel}, H. and {Le Borgne}, D. and {Caputi}, K. and {Cassata}, P. and {Chang}, Y. -Y. and {Civano}, F. and {Dunlop}, J. and {Fynbo}, J. and {Kartaltepe}, J.~S. and {Koekemoer}, A. and {Le F{\`e}vre}, O. and {Le Floc'h}, E. and {Leauthaud}, A. and {Lilly}, S. and {Lin}, L. and {Marchesi}, S. and {Milvang-Jensen}, B. and {Salvato}, M. and {Sanders}, D.~B. and {Scoville}, N. and {Smolcic}, V. and {Stockmann}, M. and {Taniguchi}, Y. and {Tasca}, L. and {Toft}, S. and {Vaccari}, Mattia and {Zabl}, J.},
title = "{The COSMOS2015 Catalog: Exploring the 1 < z < 6 Universe with Half a Million Galaxies}",
journal = {The Astrophysical Journal Supplement Series},
keywords = {catalogs, galaxies: evolution, galaxies: high-redshift, galaxies: photometry, methods: observational, techniques: photometric, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
year = 2016,
month = jun,
volume = {224},
number = {2},
eid = {24},
pages = {24},
doi = {10.3847/0067-0049/224/2/24},
archivePrefix = {arXiv},
eprint = {1604.02350},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016ApJS..224...24L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{3DHST2016,
author = {{Momcheva}, Ivelina G. and {Brammer}, Gabriel B. and {van Dokkum}, Pieter G. and {Skelton}, Rosalind E. and {Whitaker}, Katherine E. and {Nelson}, Erica J. and {Fumagalli}, Mattia and {Maseda}, Michael V. and {Leja}, Joel and {Franx}, Marijn and {Rix}, Hans-Walter and {Bezanson}, Rachel and {Da Cunha}, Elisabete and {Dickey}, Claire and {F{\"o}rster Schreiber}, Natascha M. and {Illingworth}, Garth and {Kriek}, Mariska and {Labb{\'e}}, Ivo and {Ulf Lange}, Johannes and {Lundgren}, Britt F. and {Magee}, Daniel and {Marchesini}, Danilo and {Oesch}, Pascal and {Pacifici}, Camilla and {Patel}, Shannon G. and {Price}, Sedona and {Tal}, Tomer and {Wake}, David A. and {van der Wel}, Arjen and {Wuyts}, Stijn},
title = "{The 3D-HST Survey: Hubble Space Telescope WFC3/G141 Grism Spectra, Redshifts, and Emission Line Measurements for \raisebox{-0.5ex}\textasciitilde 100,000 Galaxies}",
journal = {The Astrophysical Journal Supplement Series},
keywords = {catalogs, galaxies: evolution, methods: data analysis, techniques: spectroscopic, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
year = 2016,
month = aug,
volume = {225},
number = {2},
eid = {27},
pages = {27},
doi = {10.3847/0067-0049/225/2/27},
archivePrefix = {arXiv},
eprint = {1510.02106},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016ApJS..225...27M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Leja2015,
author = {{Leja}, Joel and {van Dokkum}, Pieter G. and {Franx}, Marijn and {Whitaker}, Katherine E.},
title = "{Reconciling the Observed Star-forming Sequence with the Observed Stellar Mass Function}",
journal = {The Astrophysical Journal},
keywords = {galaxies: evolution, galaxies: high-redshift, galaxies: luminosity function, mass function, galaxies: star formation, Astrophysics - Astrophysics of Galaxies},
year = 2015,
month = jan,
volume = {798},
number = {2},
eid = {115},
pages = {115},
doi = {10.1088/0004-637X/798/2/115},
archivePrefix = {arXiv},
eprint = {1407.1842},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2015ApJ...798..115L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Kcorr2002,
author = {{Hogg}, David W. and {Baldry}, Ivan K. and {Blanton}, Michael R. and {Eisenstein}, Daniel J.},
title = "{The K correction}",
journal = {arXiv e-prints},
keywords = {Astrophysics},
year = 2002,
month = oct,
eid = {astro-ph/0210394},
pages = {astro-ph/0210394},
doi = {10.48550/arXiv.astro-ph/0210394},
archivePrefix = {arXiv},
eprint = {astro-ph/0210394},
primaryClass = {astro-ph},
adsurl = {https://ui.adsabs.harvard.edu/abs/2002astro.ph.10394H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Tacchella2020,
author = {{Tacchella}, Sandro and {Forbes}, John C. and {Caplar}, Neven},
title = "{Stochastic modelling of star-formation histories II: star-formation variability from molecular clouds and gas inflow}",
journal = "Monthly Notices of the Royal Astronomical Society",
keywords = {stars: formation, ISM: evolution, galaxies: evolution, galaxies: ISM, galaxies: star formation, Astrophysics - Astrophysics of Galaxies},
year = 2020,
month = sep,
volume = {497},
number = {1},
pages = {698-725},
doi = {10.1093/mnras/staa1838},
archivePrefix = {arXiv},
eprint = {2006.09382},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020MNRAS.497..698T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{Leja2022,
author = {{Leja}, Joel and {Speagle}, Joshua S. and {Ting}, Yuan-Sen and {Johnson}, Benjamin D. and {Conroy}, Charlie and {Whitaker}, Katherine E. and {Nelson}, Erica J. and {van Dokkum}, Pieter and {Franx}, Marijn},
title = "{A New Census of the 0.2 < z < 3.0 Universe. II. The Star-forming Sequence}",
journal = {The Astrophysical Journal},
keywords = {Galaxy formation, Galaxy photometry, Galaxy masses, Star formation, 595, 611, 607, 1569, Astrophysics - Astrophysics of Galaxies},
year = 2022,
month = sep,
volume = {936},
number = {2},
eid = {165},
pages = {165},
doi = {10.3847/1538-4357/ac887d},
archivePrefix = {arXiv},
eprint = {2110.04314},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...936..165L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}