[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120836-en":3,"doc-seo-120836-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120836,16904993612988,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Constructing Impactful Machine Learning Research for Astronomy - Best Practices for Researchers and Reviewers","Machine learning has rapidly become a tool of choice for the astronomical community, supporting tasks across wavelengths and problems ranging from transient classification to neural-network emulators of cosmological simulations. This approach also introduces specific best practices, challenges, and drawbacks that are frequently addressed only incompletely in astrophysical literature. The paper provides a practical primer for authors, reviewers, and editors on implementing machine learning models and reporting results to ensure accuracy, reproducibility, and methodological usefulness.","arXiv :2310 . 12528v1 [ astro-ph .IM] 19 Oct 2023  \nDraft version October 20, 2023  \nTypeset using LATEX twocolumn style in AASTeX63  \nConstructing Impactful Machine Learning Research for Astronomy:  \nBest Practices for Researchers and Reviewers  \nDaniela Huppenkothen , 1, 2, ∗ Michelle Ntampaka ,3, 4, ∗ Matthew Ho ,5 Morgan Fouesneau ,6 Brian Nord ,7, 8, 9  \nJ.E. G. Peek ,3, 4 Mike Walmsley ,10, 11 John F. Wu ,3, 4 C. Avestruz ,12, 13 Tobias Buck ,14, 15 Massimo Brescia,16, 17 Douglas P. Finkbeiner ,18, 19 Andy D. Goulding ,20 T. Kacprzak ,21 Peter Melchior ,20, 22 Mario Pasquato ,23, 24, 25, 26 Nesar Ramachandra ,27, 28 Yuan-Sen Ting ,29, 30, 31 Glenn van de Ven,32 Soledad Villar,33, 34 V.A. Villar ,35 and  \nElad Zinger36  \n1 SRON Netherlands Institute for Space Research, Niels Bohrweg 4, 2333CA Leiden, The Netherlands  \n2 Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands  \n3 Space Telescope Science Institute, Baltimore, MD 21218, USA  \n4 Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD 21218, USA  \n5 CNRS & Sorbonne Universit´e, Institut d’Astrophysique de Paris (IAP), UMR 7095, 98 bis bd Arago, F-75014 Paris, France  \n6 Max Plank Institute for Astronomy (MPIA), K¨onigstuhl 17, D-69117 Heidelberg, Germany  \n7 Fermi National Accelerator Laboratory, P. O. Box 500, Batavia, IL 60510, USA  \n8 Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA  \n9 Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA  \n10 Jodrell Bank Centre for Astrophysics, Department of Physics & Astronomy, University of Manchester, Manchester, M13 9PL, UK  \n11 Dunlap Institute for Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada  \n12 Leinweber Center for Theoretical Physics, University of Michigan, Ann Arbor, MI 48109, USA  \n13 Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA  \n14 Universit¨at Heidelberg, Interdisziplin¨ares Zentrum f¨ur Wissenschaftliches Rechnen, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany  \n15 Universit¨at Heidelberg, Zentrum f¨ur Astronomie, Institut f¨ur Theoretische Astrophysik, Albert-Ueberle-Straße 2, 69120 Heidelberg, Germany  \n16 Department of Physics “E. Pancini,” University Federico II of Napoli, Via Cinthia 21, I-80126 Napoli, Italy  \n17 INAF Astronomical Observatory of Capodimonte, Salita Moiariello 16, I-80131 Napoli, Italy  \n18 Department of Physics, Harvard University, 17 Oxford St. , Cambridge, MA 02138, USA  \n19 Harvard-Smithsonian Center for Astrophysics, 60 Garden St. , Cambridge, MA 02138, USA  \n20 Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA  \n21 Swiss Data Science Center, Paul Scherrer Institute, 5303 Villigen, Switzerland  \n22 Center for Statistics & Machine Learning, Princeton University, Princeton, NJ 08544, USA  \n23 D´epartement de Physique, Universite de Montr´eal, Montreal, Quebec H3T 1J4, Canada  \n24 Physics and Astronomy Department Galileo Galilei, University of Padova, Vicolo dell’Osservatorio 3, I–35122, Padova  \n25 Mila - Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada  \n26 Ciela, Computation and Astrophysical Data Analysis Institute, Montreal, Quebec, Canada  \n27 Computational Science Division, Argonne National Laboratory, Lemont, IL, USA  \n28 High Energy Physics Division, Argonne National Laboratory, Lemont, IL, USA  \n29 School of Computing, Australian National University, Acton, ACT 2601, Australia  \n30 Research School of Astronomy & Astrophysics, Australian National University, Cotter Rd. , Weston, ACT 2611, Australia  \n31 Department of Astronomy, The Ohio State University, Columbus, USA  \n32 Department of Astrophysics, University of Vienna, T¨urkenschanzstraße 17, 1180 Vienna, Austria  \n33 Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA  \n34 Mathematical I","cbCaiqrhRPE63gS9","https://ap.wps.com/l/cbCaiqrhRPE63gS9","pdf",406280,1,14,"English","en",105,"# Introduction\n## Data-driven astronomy and machine learning growth\n## Need for best practices in implementation and reporting","[{\"question\":\"What problem does the paper aim to address for the astronomical community?\",\"answer\":\"It addresses gaps in how machine learning work in astrophysics is documented, including best practices, challenges, and drawbacks that are often reported incompletely.\"},{\"question\":\"Who is the intended audience of the primer?\",\"answer\":\"The paper targets authors, reviewers, and editors, providing guidance on implementing models and communicating results.\"},{\"question\":\"What outcomes does the paper emphasize when reporting machine learning results?\",\"answer\":\"It emphasizes ensuring accuracy, reproducibility of findings, and usefulness of the methods for the broader community.\"}]","Constructing Impactful Machine Learning Research for Astronomy - Best Practices for Researchers and Reviewers | PDF",1785732280,35,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"constructing-impactful-machine-learning-research-for-astronomy-best-practices-for-researchers-and-reviewers","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/constructing-impactful-machine-learning-research-for-astronomy-best-practices-for-researchers-and-reviewers/120836/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the paper aim to address for the astronomical community?","Question",{"text":75,"@type":76},"It addresses gaps in how machine learning work in astrophysics is documented, including best practices, challenges, and drawbacks that are often reported incompletely.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Who is the intended audience of the primer?",{"text":80,"@type":76},"The paper targets authors, reviewers, and editors, providing guidance on implementing models and communicating results.",{"name":82,"@type":73,"acceptedAnswer":83},"What outcomes does the paper emphasize when reporting machine learning results?",{"text":84,"@type":76},"It emphasizes ensuring accuracy, reproducibility of findings, and usefulness of the methods for the broader community.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]