[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127900-en":3,"doc-seo-127900-105":31,"detail-sidebar-cat-0-en-105":92},{"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":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127900,137451207643,"Noah","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",8,"Research & Report","TOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH MACHINE LEARNING - A DISSERTATION","The discovery of dark energy and accelerating cosmic expansion relied on only 42 type Ia supernovae, while modern synoptic surveys such as the Dark Energy Survey and upcoming Rubin and Roman missions will generate data sets containing thousands to millions of SNe Ia. This scale demands precision sufficient to unambiguously test concordance cosmology, yet it introduces major challenges: most newly discovered objects cannot receive spectroscopic classification and only about 25% will have spectroscopic redshifts. The dissertation develops observational and methodological studies to enable accurate photometric SN Ia cosmology, including machine-learning-based photometric classification through SCONE, supporting reliable cosmological inference.","arXiv :2406 .04529v1 [ astro-ph .CO] 6 Jun 2024  \nTOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH  \nMACHINE LEARNING  \nHelen Qu  \nA DISSERTATION  \nin  \nPhysics and Astronomy  \nPresented to the Faculties of the University of Pennsylvania  \nin  \nPartial Fulfillment of the Requirements for the  \nDegree of Doctor of Philosophy  \n2024  \nSupervisor of Dissertation  \nMasao Sako, Professor, Physics and Astronomy  \nGraduate Group Chairperson  \nRavi Sheth, Professor, Physics and Astronomy  \nDissertation Committee  \nBhuvnesh Jain, Professor, Physics and Astronomy  \nGary Bernstein, Professor, Physics and Astronomy Mariangela Bernardi, Professor, Physics and Astronomy Dylan Rankin, Assistant Professor, Physics and Astronomy  \nTOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH MACHINE LEARNING  \nCOPYRIGHT  \n2024  \nHelen Qu  \nFor my family, whose love and encouragement means the universe.  \nACKNOWLEDGEMENT  \nIt has been an incredible privilege to be supported by countless people during the course of my PhD and the completion of this work.  \nThis thesis and my entire academic career was made possible by my advisor, Masao Sako. Masao taught my first year undergraduate physics class in 2013 and gave me the confidence to pursue a degree in engineering. When I was contemplating graduate school, he took me in with little to no advanced physics education on just a promise that I could figure things out. His unwavering trust in my potential has made an irreconcilable difference in my life, and for that I am immeasurably grateful.  \nMy committee members deserve additional thanks: Bhuv Jain, Gary Bernstein, Dylan Rankin, and Mariangela Bernardi, who have all enriched my graduate school experience far beyond your committee roles. Thanks in particular to Bhuv Jain, who has been incredibly supportive both in my academic forays into machine learning and on-the-ground development of a machine learning community within the department. Finally, many thanks to our faculty and staff for providing the most welcoming environment a graduate student could ask for.  \nMy path to graduate school was shaped by many important individuals. In my final year of college, Prof. Max Mintz first incepted the idea of returning to school for physics, and his tireless love for learning continues to inspire me every day. My colleagues and mentors at Academia.edu have taught me so much, from the ins-and-outs of vim to the importance of stepping out of my comfort zone. In particular, I am incredibly grateful to Yuri Niyazov, Alexei Chernikov, and Davis Vu, whose impacts on my life reach far beyond my time at Academia.edu and my software engineering career.  \nI have also been privileged to learn from and collaborate with a multitude of remarkable people over the years. Many thanks to wonderful friends, colleagues, and mentors in the DES-SN WG and LSST DESC-these have been the most welcoming communities to me and I always look forward  \nto our biannual in-person meetings. I feel particularly fortunate to have been a part of the final DES-SN analysis, the culmination of decades of hard work by many.  \nI am so grateful for the extraordinary researchers and human beings of Penn Physics and Astronomy. The support of my cohort of graduate students during our first year was invaluable: Justin Bracks, Yvonne Zagzag, Charlotte Slaughter, Eric Chong, Avi Kahn, Arpit Arora, Aaron Winn. I knew I could always ask for help, and I still think back to our long homework sessions together fondly. Since COVID reopening, I have been so lucky to find a community in the past and present residents of DRL 4N. Jason Lee, Qiuyue Liang, Minsu Park, Karen Perez Sarmiento, Julia Robe, Neha Joshi, Shivam Pandey, Guram Kartvelishvili, Tanvi Karwal, Cyrille Doux, Carles Sanchez, Marco Gatti, and Marco Raveri: our times together have been some of my fondest memories of graduate school, and I can’t thank you all enough for your support in all aspects of my life.  \nMy friends and family hav","cbCaioW1Hdc4B57z","https://ap.wps.com/l/cbCaioW1Hdc4B57z","pdf",7220909,4,1,246,"English","en",105,"# Acknowledgement\n# Abstract\n## Photometric SN Ia cosmology motivation\n## Machine-learning photometric classification (SCONE)","[{\"question\":\"Why does photometric SN Ia cosmology require new methods?\",\"answer\":\"Modern surveys will discover far more supernovae than can be spectroscopically classified, so redshifts and accurate SN typing must be obtained without spectroscopy for most objects.\"},{\"question\":\"What is the SCONE approach mentioned in the dissertation abstract?\",\"answer\":\"SCONE is a machine-learning method that uses a convolutional neural network for photometric classification of supernovae, enabling confident categorization without spectroscopic information.\"},{\"question\":\"What observational limitations are highlighted for upcoming large surveys?\",\"answer\":\"Spectroscopic classification will be impractical for most discovered objects, and only about 25% are expected to have spectroscopic redshifts, creating a precision and selection challenge for cosmological analysis.\"}]","TOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH MACHINE LEARNING - A DISSERTATION | PDF",1785942806,620,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"towards-precision-photometric-type-ia-supernova-cosmology-with-machine-learning-a-dissertation","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":20},"https://docshare.wps.com/document/towards-precision-photometric-type-ia-supernova-cosmology-with-machine-learning-a-dissertation/127900/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-27","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Why does photometric SN Ia cosmology require new methods?","Question",{"text":76,"@type":77},"Modern surveys will discover far more supernovae than can be spectroscopically classified, so redshifts and accurate SN typing must be obtained without spectroscopy for most objects.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What is the SCONE approach mentioned in the dissertation abstract?",{"text":81,"@type":77},"SCONE is a machine-learning method that uses a convolutional neural network for photometric classification of supernovae, enabling confident categorization without spectroscopic information.",{"name":83,"@type":74,"acceptedAnswer":84},"What observational limitations are highlighted for upcoming large surveys?",{"text":85,"@type":77},"Spectroscopic classification will be impractical for most discovered objects, and only about 25% are expected to have spectroscopic redshifts, creating a precision and selection challenge for cosmological analysis.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]