EOS: a software for flavor physics phenomenology

Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of...
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Autor*in:	van Dyk, D. [verfasserIn] Beaujean, F. Blake, T. Bobeth, C. Bordone, M. Dugic, K. Eberhard, E. Gubernari, N. Graverini, E. Jung, M. Kokulu, A. Kürten, S. Leljak, D. Lüghausen, P. Meiser, S. Rahimi, M. Reboud, M. Coutinho, R. Silva Virto, J. Vos, K. K.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Anmerkung:	© The Author(s) 2022. corrected publication 2022

Übergeordnetes Werk:	Enthalten in: The European physical journal - Berlin : Springer, 1998, 82(2022), 6 vom: 27. Juni
Übergeordnetes Werk:	volume:82 ; year:2022 ; number:6 ; day:27 ; month:06

Links:	Volltext

DOI / URN:	10.1140/epjc/s10052-022-10177-4

Katalog-ID:	SPR047420421

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520			\|a Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation.
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700	1		\|a Gubernari, N. \|4 aut
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912			\|a GBV_ILN_4323
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Indexfelder

author_variant	d d v dd ddv f b fb t b tb c b cb m b mb k d kd e e ee n g ng e g eg m j mj a k ak s k sk d l dl p l pl s m sm m r mr m r mr r s c rs rsc j v jv k k v kk kkv
matchkey_str	article:14346052:2022----::oaotaeofaopyish
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1140/epjc/s10052-022-10177-4 doi (DE-627)SPR047420421 (SPR)s10052-022-10177-4-e DE-627 ger DE-627 rakwb eng van Dyk, D. verfasserin (orcid)0000-0002-7668-810X aut EOS: a software for flavor physics phenomenology 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2022 Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. Beaujean, F. (orcid)0000-0001-9901-8785 aut Blake, T. (orcid)0000-0002-0259-5891 aut Bobeth, C. aut Bordone, M. aut Dugic, K. aut Eberhard, E. aut Gubernari, N. aut Graverini, E. aut Jung, M. aut Kokulu, A. aut Kürten, S. aut Leljak, D. aut Lüghausen, P. aut Meiser, S. aut Rahimi, M. aut Reboud, M. (orcid)0000-0001-6033-3606 aut Coutinho, R. Silva aut Virto, J. aut Vos, K. K. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 6 vom: 27. Juni (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:6 day:27 month:06 https://dx.doi.org/10.1140/epjc/s10052-022-10177-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 6 27 06
spelling	10.1140/epjc/s10052-022-10177-4 doi (DE-627)SPR047420421 (SPR)s10052-022-10177-4-e DE-627 ger DE-627 rakwb eng van Dyk, D. verfasserin (orcid)0000-0002-7668-810X aut EOS: a software for flavor physics phenomenology 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2022 Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. Beaujean, F. (orcid)0000-0001-9901-8785 aut Blake, T. (orcid)0000-0002-0259-5891 aut Bobeth, C. aut Bordone, M. aut Dugic, K. aut Eberhard, E. aut Gubernari, N. aut Graverini, E. aut Jung, M. aut Kokulu, A. aut Kürten, S. aut Leljak, D. aut Lüghausen, P. aut Meiser, S. aut Rahimi, M. aut Reboud, M. (orcid)0000-0001-6033-3606 aut Coutinho, R. Silva aut Virto, J. aut Vos, K. K. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 6 vom: 27. Juni (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:6 day:27 month:06 https://dx.doi.org/10.1140/epjc/s10052-022-10177-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 6 27 06
allfields_unstemmed	10.1140/epjc/s10052-022-10177-4 doi (DE-627)SPR047420421 (SPR)s10052-022-10177-4-e DE-627 ger DE-627 rakwb eng van Dyk, D. verfasserin (orcid)0000-0002-7668-810X aut EOS: a software for flavor physics phenomenology 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2022 Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. Beaujean, F. (orcid)0000-0001-9901-8785 aut Blake, T. (orcid)0000-0002-0259-5891 aut Bobeth, C. aut Bordone, M. aut Dugic, K. aut Eberhard, E. aut Gubernari, N. aut Graverini, E. aut Jung, M. aut Kokulu, A. aut Kürten, S. aut Leljak, D. aut Lüghausen, P. aut Meiser, S. aut Rahimi, M. aut Reboud, M. (orcid)0000-0001-6033-3606 aut Coutinho, R. Silva aut Virto, J. aut Vos, K. K. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 6 vom: 27. Juni (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:6 day:27 month:06 https://dx.doi.org/10.1140/epjc/s10052-022-10177-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 6 27 06
allfieldsGer	10.1140/epjc/s10052-022-10177-4 doi (DE-627)SPR047420421 (SPR)s10052-022-10177-4-e DE-627 ger DE-627 rakwb eng van Dyk, D. verfasserin (orcid)0000-0002-7668-810X aut EOS: a software for flavor physics phenomenology 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2022 Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. Beaujean, F. (orcid)0000-0001-9901-8785 aut Blake, T. (orcid)0000-0002-0259-5891 aut Bobeth, C. aut Bordone, M. aut Dugic, K. aut Eberhard, E. aut Gubernari, N. aut Graverini, E. aut Jung, M. aut Kokulu, A. aut Kürten, S. aut Leljak, D. aut Lüghausen, P. aut Meiser, S. aut Rahimi, M. aut Reboud, M. (orcid)0000-0001-6033-3606 aut Coutinho, R. Silva aut Virto, J. aut Vos, K. K. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 6 vom: 27. Juni (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:6 day:27 month:06 https://dx.doi.org/10.1140/epjc/s10052-022-10177-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 6 27 06
allfieldsSound	10.1140/epjc/s10052-022-10177-4 doi (DE-627)SPR047420421 (SPR)s10052-022-10177-4-e DE-627 ger DE-627 rakwb eng van Dyk, D. verfasserin (orcid)0000-0002-7668-810X aut EOS: a software for flavor physics phenomenology 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2022 Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. Beaujean, F. (orcid)0000-0001-9901-8785 aut Blake, T. (orcid)0000-0002-0259-5891 aut Bobeth, C. aut Bordone, M. aut Dugic, K. aut Eberhard, E. aut Gubernari, N. aut Graverini, E. aut Jung, M. aut Kokulu, A. aut Kürten, S. aut Leljak, D. aut Lüghausen, P. aut Meiser, S. aut Rahimi, M. aut Reboud, M. (orcid)0000-0001-6033-3606 aut Coutinho, R. Silva aut Virto, J. aut Vos, K. K. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 6 vom: 27. Juni (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:6 day:27 month:06 https://dx.doi.org/10.1140/epjc/s10052-022-10177-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 6 27 06
language	English
source	Enthalten in The European physical journal 82(2022), 6 vom: 27. Juni volume:82 year:2022 number:6 day:27 month:06
sourceStr	Enthalten in The European physical journal 82(2022), 6 vom: 27. Juni volume:82 year:2022 number:6 day:27 month:06
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institution	findex.gbv.de
isfreeaccess_bool	true
container_title	The European physical journal
authorswithroles_txt_mv	van Dyk, D. @@aut@@ Beaujean, F. @@aut@@ Blake, T. @@aut@@ Bobeth, C. @@aut@@ Bordone, M. @@aut@@ Dugic, K. @@aut@@ Eberhard, E. @@aut@@ Gubernari, N. @@aut@@ Graverini, E. @@aut@@ Jung, M. @@aut@@ Kokulu, A. @@aut@@ Kürten, S. @@aut@@ Leljak, D. @@aut@@ Lüghausen, P. @@aut@@ Meiser, S. @@aut@@ Rahimi, M. @@aut@@ Reboud, M. @@aut@@ Coutinho, R. Silva @@aut@@ Virto, J. @@aut@@ Vos, K. K. @@aut@@
publishDateDaySort_date	2022-06-27T00:00:00Z
hierarchy_top_id	253722934
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author	van Dyk, D.
spellingShingle	van Dyk, D. EOS: a software for flavor physics phenomenology
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title_sort	eos: a software for flavor physics phenomenology
title_auth	EOS: a software for flavor physics phenomenology
abstract	Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. © The Author(s) 2022. corrected publication 2022
abstractGer	Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. © The Author(s) 2022. corrected publication 2022
abstract_unstemmed	Abstract EOS is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. EOS ensures high-performance computations through a C++ back-end and ease of usability through a Python front-end. To achieve this flexibility, EOS enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the EOS online documentation. © The Author(s) 2022. corrected publication 2022
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title_short	EOS: a software for flavor physics phenomenology
url	https://dx.doi.org/10.1140/epjc/s10052-022-10177-4
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EOS: a software for flavor physics phenomenology

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