From bb73beae975c1d5d3be52a9a011c272370cace63 Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:15:53 +0200 Subject: [PATCH 01/11] add reference --- paper/paper.bib | 97 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 97 insertions(+) diff --git a/paper/paper.bib b/paper/paper.bib index 4367a55..254ffa3 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -70,3 +70,100 @@ @ARTICLE{verro+22 adsnote = {Provided by the SAO/NASA Astrophysics Data System} } +@INPROCEEDINGS{rodrigo+20, + author = {{Rodrigo}, C. and {Solano}, E.}, + title = "{The SVO Filter Profile Service}", + booktitle = {XIV.0 Scientific Meeting (virtual) of the Spanish Astronomical Society}, + year = 2020, + month = jul, + eid = {182}, + pages = {182}, + adsurl = {https://ui.adsabs.harvard.edu/abs/2020sea..confE.182R}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@ARTICLE{worthey+94, + author = {{Worthey}, Guy and {Faber}, S.~M. and {Gonzalez}, J. Jesus and {Burstein}, D.}, + title = "{Old Stellar Populations. V. Absorption Feature Indices for the Complete Lick/IDS Sample of Stars}", + journal = {\apjs}, + keywords = {Absorption Spectra, Sky Surveys (Astronomy), Star Distribution, Abundance, Metallicity, Stellar Atmospheres, Stellar Gravitation, Stellar Temperature, Astronomy, GALAXIES: STELLAR CONTENT, STARS: ABUNDANCES, STARS: ATMOSPHERES, STARS: FUNDAMENTAL PARAMETERS}, + year = 1994, + month = oct, + volume = {94}, + pages = {687}, + doi = {10.1086/192087}, + adsurl = {https://ui.adsabs.harvard.edu/abs/1994ApJS...94..687W}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@ARTICLE{zuntz+15, + author = {{Zuntz}, J. and {Paterno}, M. and {Jennings}, E. and {Rudd}, D. and {Manzotti}, A. and {Dodelson}, S. and {Bridle}, S. and {Sehrish}, S. and {Kowalkowski}, J.}, + title = "{CosmoSIS: Modular cosmological parameter estimation}", + journal = {Astronomy and Computing}, + keywords = {Cosmology:miscellaneous, Methods:data analysis, Methods:statistical, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics}, + year = 2015, + month = sep, + volume = {12}, + pages = {45-59}, + doi = {10.1016/j.ascom.2015.05.005}, +archivePrefix = {arXiv}, + eprint = {1409.3409}, + primaryClass = {astro-ph.CO}, + adsurl = {https://ui.adsabs.harvard.edu/abs/2015A&C....12...45Z}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@ARTICLE{boquien+19, + author = {{Boquien}, M. and {Burgarella}, D. and {Roehlly}, Y. and {Buat}, V. and {Ciesla}, L. and {Corre}, D. and {Inoue}, A.~K. and {Salas}, H.}, + title = "{CIGALE: a python Code Investigating GALaxy Emission}", + journal = {\aap}, + keywords = {methods: data analysis, methods: numerical, methods: statistical, galaxies: general, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, + year = 2019, + month = feb, + volume = {622}, + eid = {A103}, + pages = {A103}, + doi = {10.1051/0004-6361/201834156}, +archivePrefix = {arXiv}, + eprint = {1811.03094}, + primaryClass = {astro-ph.GA}, + adsurl = {https://ui.adsabs.harvard.edu/abs/2019A&A...622A.103B}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@ARTICLE{cid-fernandes+05, + author = {{Cid Fernandes}, Roberto and {Mateus}, Ab{\'\i}lio and {Sodr{\'e}}, Laerte and {Stasi{\'n}ska}, Gra{\.z}yna and {Gomes}, Jean M.}, + title = "{Semi-empirical analysis of Sloan Digital Sky Survey galaxies - I. Spectral synthesis method}", + journal = {\mnras}, + keywords = {galaxies: evolution, galaxies: fundamental parameters, galaxies: statistics, galaxies: stellar content, Astrophysics}, + year = 2005, + month = apr, + volume = {358}, + number = {2}, + pages = {363-378}, + doi = {10.1111/j.1365-2966.2005.08752.x}, +archivePrefix = {arXiv}, + eprint = {astro-ph/0412481}, + primaryClass = {astro-ph}, + adsurl = {https://ui.adsabs.harvard.edu/abs/2005MNRAS.358..363C}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + +@ARTICLE{cc+25, + author = {{Euclid Collaboration} and {Corcho-Caballero}, P. and {Ascasibar}, Y. and {Verdoes Kleijn}, G. and {Lovell}, C.~C. and {De Lucia}, G. and {Cleland}, C. and {Fontanot}, F. and {Tortora}, C. and {Koopmans}, L.~V.~E. and {Moutard}, T. and {Laigle}, C. and {Nersesian}, A. and {Shankar}, F. and {Aghanim}, N. and {Altieri}, B. and {Amara}, A. and {Andreon}, S. and {Aussel}, H. and {Baccigalupi}, C. and {Baldi}, M. and {Balestra}, A. and {Bardelli}, S. and {Battaglia}, P. and {Biviano}, A. and {Bonchi}, A. and {Bonino}, D. and {Branchini}, E. and {Brescia}, M. and {Brinchmann}, J. and {Ca{\~n}as-Herrera}, G. and {Capobianco}, V. and {Carbone}, C. and {Carretero}, J. and {Casas}, S. and {Castander}, F.~J. and {Castellano}, M. and {Castignani}, G. and {Cavuoti}, S. and {Chambers}, K.~C. and {Cimatti}, A. and {Colodro-Conde}, C. and {Congedo}, G. and {Conselice}, C.~J. and {Conversi}, L. and {Copin}, Y. and {Costille}, A. and {Courbin}, F. and {Courtois}, H.~M. and {Cropper}, M. and {Da Silva}, A. and {Degaudenzi}, H. and {Di Giorgio}, A.~M. and {Dolding}, C. and {Dole}, H. and {Dubath}, F. and {Dupac}, X. and {Ealet}, A. and {Escoffier}, S. and {Farina}, M. and {Farinelli}, R. and {Faustini}, F. and {Ferriol}, S. and {Finelli}, F. and {Fotopoulou}, S. and {Frailis}, M. and {Franceschi}, E. and {Fumana}, M. and {Galeotta}, S. and {George}, K. and {Gillis}, B. and {Giocoli}, C. and {Gracia-Carpio}, J. and {Granett}, B.~R. and {Grazian}, A. and {Grupp}, F. and {Guzzo}, L. and {Gwyn}, S. and {Haugan}, S.~V.~H. and {Holmes}, W. and {Hook}, I.~M. and {Hormuth}, F. and {Hornstrup}, A. and {Hudelot}, P. and {Jahnke}, K. and {Jhabvala}, M. and {Keih{\"a}nen}, E. and {Kermiche}, S. and {Kiessling}, A. and {Kubik}, B. and {Kuijken}, K. and {K{\"u}mmel}, M. and {Kunz}, M. and {Kurki-Suonio}, H. and {Le Boulc'h}, Q. and {Le Brun}, A.~M.~C. and {Le Mignant}, D. and {Ligori}, S. and {Lilje}, P.~B. and {Lindholm}, V. and {Lloro}, I. and {Mainetti}, G. and {Maino}, D. and {Maiorano}, E. and {Mansutti}, O. and {Marcin}, S. and {Marggraf}, O. and {Martinelli}, M. and {Martinet}, N. and {Marulli}, F. and {Massey}, R. and {Maurogordato}, S. and {Medinaceli}, E. and {Mei}, S. and {Melchior}, M. and {Mellier}, Y. and {Meneghetti}, M. and {Merlin}, E. and {Meylan}, G. and {Mora}, A. and {Moresco}, M. and {Moscardini}, L. and {Nakajima}, R. and {Neissner}, C. and {Niemi}, S. -M. and {Nightingale}, J.~W. and {Padilla}, C. and {Paltani}, S. and {Pasian}, F. and {Percival}, W.~J. and {Pettorino}, V. and {Polenta}, G. and {Poncet}, M. and {Popa}, L.~A. and {Pozzetti}, L. and {Raison}, F. and {Rebolo}, R. and {Renzi}, A. and {Rhodes}, J. and {Riccio}, G. and {Romelli}, E. and {Roncarelli}, M. and {Saglia}, R. and {Sakr}, Z. and {S{\'a}nchez}, A.~G. and {Sapone}, D. and {Sartoris}, B. and {Schewtschenko}, J.~A. and {Schneider}, P. and {Schrabback}, T. and {Scodeggio}, M. and {Secroun}, A. and {Seidel}, G. and {Serrano}, S. and {Simon}, P. and {Sirignano}, C. and {Sirri}, G. and {Stanco}, L. and {Steinwagner}, J. and {Tallada-Cresp{\'\i}}, P. and {Taylor}, A.~N. and {Tereno}, I. and {Tessore}, N. and {Toft}, S. and {Toledo-Moreo}, R. and {Torradeflot}, F. and {Tutusaus}, I. and {Valenziano}, L. and {Valiviita}, J. and {Vassallo}, T. and {Veropalumbo}, A. and {Wang}, Y. and {Weller}, J. and {Zacchei}, A. and {Zamorani}, G. and {Zerbi}, F.~M. and {Zinchenko}, I.~A. and {Zucca}, E. and {Allevato}, V. and {Ballardini}, M. and {Bolzonella}, M. and {Bozzo}, E. and {Burigana}, C. and {Cabanac}, R. and {Cappi}, A. and {Di Ferdinando}, D. and {Escartin Vigo}, J.~A. and {Gabarra}, L. and {Huertas-Company}, M. and {Mart{\'\i}n-Fleitas}, J. and {Matthew}, S. and {Mauri}, N. and {Metcalf}, R.~B. and {Pezzotta}, A. and {P{\"o}ntinen}, M. and {Porciani}, C. and {Risso}, I. and {Scottez}, V. and {Sereno}, M. and {Tenti}, M.}, + title = "{Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies}", + journal = {arXiv e-prints}, + keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics}, + year = 2025, + month = mar, + eid = {arXiv:2503.15315}, + pages = {arXiv:2503.15315}, + doi = {10.48550/arXiv.2503.15315}, +archivePrefix = {arXiv}, + eprint = {2503.15315}, + primaryClass = {astro-ph.GA}, + adsurl = {https://ui.adsabs.harvard.edu/abs/2025arXiv250315315E}, + adsnote = {Provided by the SAO/NASA Astrophysics Data System} +} + + From 87ce982a7ba08691a579be1bde48ba5713b8f39d Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:16:57 +0200 Subject: [PATCH 02/11] expand paper --- paper/paper.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 5b9ef67..3f96a12 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,13 +44,17 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature, the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature (e.g., [@cid-fernandes+05, @boquien+19]), the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. +PST is designed for astronomy researchers, particularly those working in extragalactic astrophysics and stellar population synthesis, who need a flexible and extensible Python-based toolkit for modeling galaxy properties. It is suited for users with intermediate to advanced expertise in Python and familiarity with common data formats and concepts in astronomical spectroscopy and photometry. + +Primary use cases include data analysis, synthetic model construction, and pipeline integration for studies involving stellar population synthesis (see examples below). PST is especially valuable in workflows that combine observational data with theoretical models in a Bayesian or forward-modeling context. + PST is currently a dependency of [PyKOALA](https://github.com/pykoala/pykoala), another open source Python package focused on the reduction of optical integral-field spectroscopic observations, where it is mainly used to derive broadband photometry. -It is also at the core of the Bayesian Estimator for Stellar Population Analysis ([BESTA](https://github.com/PabloCorcho/pst-hbsps)), where it is coupled with the [Cosmosis](https://cosmosis.readthedocs.io/en/latest/) Monte Carlo sampling framework to infer the physical properties of galaxies from the observed colours and spectra. +It is also at the core of the Bayesian Estimator for Stellar Population Analysis ([BESTA](https://https://besta.readthedocs.io/), see also [@cc+25]), where it is coupled with the [CosmoSIS](https://cosmosis.readthedocs.io/en/latest/) [@zuntz+15] Monte Carlo sampling framework to infer the physical properties of galaxies from the observed colours and spectra. # Features and functionality @@ -67,7 +71,7 @@ For any SSP model integrated into PST, the library provides tools for interpolat Second, the `ChemicalEvolutionModel` classes represent the star formation and chemical enrichment histories required to produce composite spectral energy distributions and additional derived quantities. They implement several widely-used analytic prescriptions for modeling SFHs, such as exponentially declining or log-normal models, as well as complex SFH representations, such as table-based SFHs and particle-like data models, particularly suitable for post-processing the results from cosmological hydrodynamical simulations. -Third, PST features a dedicated `observables` module to predict additional quantities from spectra, such as broadband photometric fluxes, colours, and equivalent widths. PST includes automatic integration with the photometric filters provided by the [Spanish Virtual Observatory Filter Profile Servive](http://svo2.cab.inta-csic.es/theory/fps/) for synthetic photometry calculations, as well as popular line indices such as the Lick system. +Third, PST features a dedicated `observables` module to predict additional quantities from spectra, such as broadband photometric fluxes, colours, and equivalent widths. PST includes automatic integration with the photometric filters provided by the [Spanish Virtual Observatory Filter Profile Service](http://svo2.cab.inta-csic.es/theory/fps/) [@rodrigo+20] for synthetic photometry calculations, as well as popular line indices such as the Lick system [@worthey+94]. # Documentation and tutorials From ff2b32ad974bd451b16316b65f1293313045fdaf Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:36:50 +0200 Subject: [PATCH 03/11] bugfixes --- paper/paper.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 3f96a12..ace4ee6 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature (e.g., [@cid-fernandes+05, @boquien+19]), the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature [e.g., @cid-fernandes+05; @boquien+19], the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. @@ -54,7 +54,7 @@ PST is designed for astronomy researchers, particularly those working in extraga Primary use cases include data analysis, synthetic model construction, and pipeline integration for studies involving stellar population synthesis (see examples below). PST is especially valuable in workflows that combine observational data with theoretical models in a Bayesian or forward-modeling context. PST is currently a dependency of [PyKOALA](https://github.com/pykoala/pykoala), another open source Python package focused on the reduction of optical integral-field spectroscopic observations, where it is mainly used to derive broadband photometry. -It is also at the core of the Bayesian Estimator for Stellar Population Analysis ([BESTA](https://https://besta.readthedocs.io/), see also [@cc+25]), where it is coupled with the [CosmoSIS](https://cosmosis.readthedocs.io/en/latest/) [@zuntz+15] Monte Carlo sampling framework to infer the physical properties of galaxies from the observed colours and spectra. +It is also at the core of the Bayesian Estimator for Stellar Population Analysis [[BESTA](https://https://besta.readthedocs.io/), see also @cc+25], where it is coupled with the [CosmoSIS](https://cosmosis.readthedocs.io/en/latest/) [@zuntz+15] Monte Carlo sampling framework to infer the physical properties of galaxies from the observed colours and spectra. # Features and functionality From 3ca3c7180053bdb82ced9743f067b477541fe8dc Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:38:16 +0200 Subject: [PATCH 04/11] fix typo --- paper/paper.bib | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.bib b/paper/paper.bib index 254ffa3..0187270 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -150,7 +150,7 @@ @ARTICLE{cid-fernandes+05 } @ARTICLE{cc+25, - author = {{Euclid Collaboration} and {Corcho-Caballero}, P. and {Ascasibar}, Y. and {Verdoes Kleijn}, G. and {Lovell}, C.~C. and {De Lucia}, G. and {Cleland}, C. and {Fontanot}, F. and {Tortora}, C. and {Koopmans}, L.~V.~E. and {Moutard}, T. and {Laigle}, C. and {Nersesian}, A. and {Shankar}, F. and {Aghanim}, N. and {Altieri}, B. and {Amara}, A. and {Andreon}, S. and {Aussel}, H. and {Baccigalupi}, C. and {Baldi}, M. and {Balestra}, A. and {Bardelli}, S. and {Battaglia}, P. and {Biviano}, A. and {Bonchi}, A. and {Bonino}, D. and {Branchini}, E. and {Brescia}, M. and {Brinchmann}, J. and {Ca{\~n}as-Herrera}, G. and {Capobianco}, V. and {Carbone}, C. and {Carretero}, J. and {Casas}, S. and {Castander}, F.~J. and {Castellano}, M. and {Castignani}, G. and {Cavuoti}, S. and {Chambers}, K.~C. and {Cimatti}, A. and {Colodro-Conde}, C. and {Congedo}, G. and {Conselice}, C.~J. and {Conversi}, L. and {Copin}, Y. and {Costille}, A. and {Courbin}, F. and {Courtois}, H.~M. and {Cropper}, M. and {Da Silva}, A. and {Degaudenzi}, H. and {Di Giorgio}, A.~M. and {Dolding}, C. and {Dole}, H. and {Dubath}, F. and {Dupac}, X. and {Ealet}, A. and {Escoffier}, S. and {Farina}, M. and {Farinelli}, R. and {Faustini}, F. and {Ferriol}, S. and {Finelli}, F. and {Fotopoulou}, S. and {Frailis}, M. and {Franceschi}, E. and {Fumana}, M. and {Galeotta}, S. and {George}, K. and {Gillis}, B. and {Giocoli}, C. and {Gracia-Carpio}, J. and {Granett}, B.~R. and {Grazian}, A. and {Grupp}, F. and {Guzzo}, L. and {Gwyn}, S. and {Haugan}, S.~V.~H. and {Holmes}, W. and {Hook}, I.~M. and {Hormuth}, F. and {Hornstrup}, A. and {Hudelot}, P. and {Jahnke}, K. and {Jhabvala}, M. and {Keih{\"a}nen}, E. and {Kermiche}, S. and {Kiessling}, A. and {Kubik}, B. and {Kuijken}, K. and {K{\"u}mmel}, M. and {Kunz}, M. and {Kurki-Suonio}, H. and {Le Boulc'h}, Q. and {Le Brun}, A.~M.~C. and {Le Mignant}, D. and {Ligori}, S. and {Lilje}, P.~B. and {Lindholm}, V. and {Lloro}, I. and {Mainetti}, G. and {Maino}, D. and {Maiorano}, E. and {Mansutti}, O. and {Marcin}, S. and {Marggraf}, O. and {Martinelli}, M. and {Martinet}, N. and {Marulli}, F. and {Massey}, R. and {Maurogordato}, S. and {Medinaceli}, E. and {Mei}, S. and {Melchior}, M. and {Mellier}, Y. and {Meneghetti}, M. and {Merlin}, E. and {Meylan}, G. and {Mora}, A. and {Moresco}, M. and {Moscardini}, L. and {Nakajima}, R. and {Neissner}, C. and {Niemi}, S. -M. and {Nightingale}, J.~W. and {Padilla}, C. and {Paltani}, S. and {Pasian}, F. and {Percival}, W.~J. and {Pettorino}, V. and {Polenta}, G. and {Poncet}, M. and {Popa}, L.~A. and {Pozzetti}, L. and {Raison}, F. and {Rebolo}, R. and {Renzi}, A. and {Rhodes}, J. and {Riccio}, G. and {Romelli}, E. and {Roncarelli}, M. and {Saglia}, R. and {Sakr}, Z. and {S{\'a}nchez}, A.~G. and {Sapone}, D. and {Sartoris}, B. and {Schewtschenko}, J.~A. and {Schneider}, P. and {Schrabback}, T. and {Scodeggio}, M. and {Secroun}, A. and {Seidel}, G. and {Serrano}, S. and {Simon}, P. and {Sirignano}, C. and {Sirri}, G. and {Stanco}, L. and {Steinwagner}, J. and {Tallada-Cresp{\'\i}}, P. and {Taylor}, A.~N. and {Tereno}, I. and {Tessore}, N. and {Toft}, S. and {Toledo-Moreo}, R. and {Torradeflot}, F. and {Tutusaus}, I. and {Valenziano}, L. and {Valiviita}, J. and {Vassallo}, T. and {Veropalumbo}, A. and {Wang}, Y. and {Weller}, J. and {Zacchei}, A. and {Zamorani}, G. and {Zerbi}, F.~M. and {Zinchenko}, I.~A. and {Zucca}, E. and {Allevato}, V. and {Ballardini}, M. and {Bolzonella}, M. and {Bozzo}, E. and {Burigana}, C. and {Cabanac}, R. and {Cappi}, A. and {Di Ferdinando}, D. and {Escartin Vigo}, J.~A. and {Gabarra}, L. and {Huertas-Company}, M. and {Mart{\'\i}n-Fleitas}, J. and {Matthew}, S. and {Mauri}, N. and {Metcalf}, R.~B. and {Pezzotta}, A. and {P{\"o}ntinen}, M. and {Porciani}, C. and {Risso}, I. and {Scottez}, V. and {Sereno}, M. and {Tenti}, M.}, + author = {{Euclid Collaboration: Corcho-Caballero} , P. and {Ascasibar}, Y. and {Verdoes Kleijn}, G. and {Lovell}, C.~C. and {De Lucia}, G. and {Cleland}, C. and {Fontanot}, F. and {Tortora}, C. and {Koopmans}, L.~V.~E. and {Moutard}, T. and {Laigle}, C. and {Nersesian}, A. and {Shankar}, F. and {Aghanim}, N. and {Altieri}, B. and {Amara}, A. and {Andreon}, S. and {Aussel}, H. and {Baccigalupi}, C. and {Baldi}, M. and {Balestra}, A. and {Bardelli}, S. and {Battaglia}, P. and {Biviano}, A. and {Bonchi}, A. and {Bonino}, D. and {Branchini}, E. and {Brescia}, M. and {Brinchmann}, J. and {Ca{\~n}as-Herrera}, G. and {Capobianco}, V. and {Carbone}, C. and {Carretero}, J. and {Casas}, S. and {Castander}, F.~J. and {Castellano}, M. and {Castignani}, G. and {Cavuoti}, S. and {Chambers}, K.~C. and {Cimatti}, A. and {Colodro-Conde}, C. and {Congedo}, G. and {Conselice}, C.~J. and {Conversi}, L. and {Copin}, Y. and {Costille}, A. and {Courbin}, F. and {Courtois}, H.~M. and {Cropper}, M. and {Da Silva}, A. and {Degaudenzi}, H. and {Di Giorgio}, A.~M. and {Dolding}, C. and {Dole}, H. and {Dubath}, F. and {Dupac}, X. and {Ealet}, A. and {Escoffier}, S. and {Farina}, M. and {Farinelli}, R. and {Faustini}, F. and {Ferriol}, S. and {Finelli}, F. and {Fotopoulou}, S. and {Frailis}, M. and {Franceschi}, E. and {Fumana}, M. and {Galeotta}, S. and {George}, K. and {Gillis}, B. and {Giocoli}, C. and {Gracia-Carpio}, J. and {Granett}, B.~R. and {Grazian}, A. and {Grupp}, F. and {Guzzo}, L. and {Gwyn}, S. and {Haugan}, S.~V.~H. and {Holmes}, W. and {Hook}, I.~M. and {Hormuth}, F. and {Hornstrup}, A. and {Hudelot}, P. and {Jahnke}, K. and {Jhabvala}, M. and {Keih{\"a}nen}, E. and {Kermiche}, S. and {Kiessling}, A. and {Kubik}, B. and {Kuijken}, K. and {K{\"u}mmel}, M. and {Kunz}, M. and {Kurki-Suonio}, H. and {Le Boulc'h}, Q. and {Le Brun}, A.~M.~C. and {Le Mignant}, D. and {Ligori}, S. and {Lilje}, P.~B. and {Lindholm}, V. and {Lloro}, I. and {Mainetti}, G. and {Maino}, D. and {Maiorano}, E. and {Mansutti}, O. and {Marcin}, S. and {Marggraf}, O. and {Martinelli}, M. and {Martinet}, N. and {Marulli}, F. and {Massey}, R. and {Maurogordato}, S. and {Medinaceli}, E. and {Mei}, S. and {Melchior}, M. and {Mellier}, Y. and {Meneghetti}, M. and {Merlin}, E. and {Meylan}, G. and {Mora}, A. and {Moresco}, M. and {Moscardini}, L. and {Nakajima}, R. and {Neissner}, C. and {Niemi}, S. -M. and {Nightingale}, J.~W. and {Padilla}, C. and {Paltani}, S. and {Pasian}, F. and {Percival}, W.~J. and {Pettorino}, V. and {Polenta}, G. and {Poncet}, M. and {Popa}, L.~A. and {Pozzetti}, L. and {Raison}, F. and {Rebolo}, R. and {Renzi}, A. and {Rhodes}, J. and {Riccio}, G. and {Romelli}, E. and {Roncarelli}, M. and {Saglia}, R. and {Sakr}, Z. and {S{\'a}nchez}, A.~G. and {Sapone}, D. and {Sartoris}, B. and {Schewtschenko}, J.~A. and {Schneider}, P. and {Schrabback}, T. and {Scodeggio}, M. and {Secroun}, A. and {Seidel}, G. and {Serrano}, S. and {Simon}, P. and {Sirignano}, C. and {Sirri}, G. and {Stanco}, L. and {Steinwagner}, J. and {Tallada-Cresp{\'\i}}, P. and {Taylor}, A.~N. and {Tereno}, I. and {Tessore}, N. and {Toft}, S. and {Toledo-Moreo}, R. and {Torradeflot}, F. and {Tutusaus}, I. and {Valenziano}, L. and {Valiviita}, J. and {Vassallo}, T. and {Veropalumbo}, A. and {Wang}, Y. and {Weller}, J. and {Zacchei}, A. and {Zamorani}, G. and {Zerbi}, F.~M. and {Zinchenko}, I.~A. and {Zucca}, E. and {Allevato}, V. and {Ballardini}, M. and {Bolzonella}, M. and {Bozzo}, E. and {Burigana}, C. and {Cabanac}, R. and {Cappi}, A. and {Di Ferdinando}, D. and {Escartin Vigo}, J.~A. and {Gabarra}, L. and {Huertas-Company}, M. and {Mart{\'\i}n-Fleitas}, J. and {Matthew}, S. and {Mauri}, N. and {Metcalf}, R.~B. and {Pezzotta}, A. and {P{\"o}ntinen}, M. and {Porciani}, C. and {Risso}, I. and {Scottez}, V. and {Sereno}, M. and {Tenti}, M.}, title = "{Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies}", journal = {arXiv e-prints}, keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics}, From a4672b59ef4e796f6c8e542d19975d8246d2fdc4 Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:40:38 +0200 Subject: [PATCH 05/11] bugfix --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index ace4ee6..270737d 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature [e.g., @cid-fernandes+05; @boquien+19], the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature (e.g., @cid-fernandes+05; @boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. From e02f88260ab5a816b4e7421ca7eedbffff456768 Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:43:53 +0200 Subject: [PATCH 06/11] bugfix --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 270737d..efc7a70 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature (e.g., @cid-fernandes+05; @boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature [e.g. @cid-fernandes+05; @boquien+19], the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. From 938cdbdd80a82dec83e94f81632012f0b21ca6fa Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:48:08 +0200 Subject: [PATCH 07/11] bugfix --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index efc7a70..270737d 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature [e.g. @cid-fernandes+05; @boquien+19], the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature (e.g., @cid-fernandes+05; @boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. From fe2ce425549e7df8dd56cd75e14536686acbeee5 Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:51:51 +0200 Subject: [PATCH 08/11] bugfix --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 270737d..bb242bc 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature (e.g., @cid-fernandes+05; @boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature such as Cid Fernandes et al. (-@cid-fernandes+05) and Boquien et al. (-@boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. From 4a112025b5fe4d9b30dc8a3318742e8bb702338f Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Mon, 9 Jun 2025 09:56:13 +0200 Subject: [PATCH 09/11] bufix --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index bb242bc..3fdc116 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -44,7 +44,7 @@ PST is a Python library that offers a comprehensive and flexible framework for s # Statement of need -Compared to alternative approaches in the literature such as Cid Fernandes et al. (-@cid-fernandes+05) and Boquien et al. (-@boquien+19), the user-friendly modular framework of PST is conceived to address the following challenges: +Compared to alternative approaches in the literature such as @cid-fernandes+05 and @boquien+19, the user-friendly modular framework of PST is conceived to address the following challenges: - To handle a broad variety of SSP libraries, publicly available in heterogeneous native formats. - To model arbitrarily complex galaxy star formation and chemical evolution histories. - To enable the simultaneous and self-consistent analysis of photometric and spectroscopic data from different instruments. From b80771c287af22e629eef855fb739c1bb4e0a4ee Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Tue, 17 Jun 2025 17:43:33 +0200 Subject: [PATCH 10/11] add pykoala --- paper/paper.bib | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/paper/paper.bib b/paper/paper.bib index 0187270..7dafca2 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -166,4 +166,11 @@ @ARTICLE{cc+25 adsnote = {Provided by the SAO/NASA Astrophysics Data System} } - +@misc{pykoala, + author = {{Corcho-Caballero}, P. and {Ascasibar}, Y. and {L\'opez-S\'anchez}, A. R. and {Gonz\'alez-Bol\'ivar}, M., and {Lorente}, N., and {Tocknell}, J. and {Jim\'enez-Ibarra}, F. and {Daluwathumullagamage}, P. J. and {Quattropani}, G. and {Owers}, M}, + title = {PyKOALA}, + year = {2025}, + publisher = {GitHub}, + journal = {GitHub repository}, + url = {https://github.com/pykoala} +} From 27a2c36937417b402fb7fbac22bcfbf927bd33ec Mon Sep 17 00:00:00 2001 From: Pablo Corcho-Caballero Date: Tue, 17 Jun 2025 17:44:46 +0200 Subject: [PATCH 11/11] add pykoala ref --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 3fdc116..687fc2e 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -53,7 +53,7 @@ PST is designed for astronomy researchers, particularly those working in extraga Primary use cases include data analysis, synthetic model construction, and pipeline integration for studies involving stellar population synthesis (see examples below). PST is especially valuable in workflows that combine observational data with theoretical models in a Bayesian or forward-modeling context. -PST is currently a dependency of [PyKOALA](https://github.com/pykoala/pykoala), another open source Python package focused on the reduction of optical integral-field spectroscopic observations, where it is mainly used to derive broadband photometry. +PST is currently a dependency of PyKOALA [@pykoala], another open source Python package focused on the reduction of optical integral-field spectroscopic observations, where it is mainly used to derive broadband photometry. It is also at the core of the Bayesian Estimator for Stellar Population Analysis [[BESTA](https://https://besta.readthedocs.io/), see also @cc+25], where it is coupled with the [CosmoSIS](https://cosmosis.readthedocs.io/en/latest/) [@zuntz+15] Monte Carlo sampling framework to infer the physical properties of galaxies from the observed colours and spectra. # Features and functionality