{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110689"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110689","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Interactive visualization framework for space plasma data sets","abstract":"The capability of visualizing numerical data sets to graphs is imperative to our understanding of space physics. However, traditional visualization tools used in the space science community are either proprietary, lack portability or require paid license subscriptions. Therefore we are attempting to resolve these shortcomings by developing cross-platform, free-to-use, easily set up interactive visualization tools that is accessible to any web browsers. This project will showcase five different applications based on a Python framework called Dash developed by plotly. These applications are proved to be capable of visualizing 3D space physics data sets including satellite measurements, ground measurements, or numerical model simulation results. The first two applications use the Cluster II satellite measurement data set provided by ESA, courtesy of Dr.~Elena Kornberg from the Max Plank Institute. The third and the fourth applications use the simulated magnetic field data generated by the Tsyganenko magnetic field model. The fifth application visualizes ion density from an empirical model based on geo-tail data while the final application can plot calculation results from the Polar Wind Outflow Model. By demonstrating the advantages of our visualization tool, we hope to show the significance of a generalized framework, which could benefit the entire space science community. Due to the time constraint of this project, we did not explore all the options provided by Dash. However, we firmly believe this tool has great potential and will be more powerful with additional features such as parallel computing, cloud computing, and the ability to record animations.","abstract_html":"The capability of visualizing numerical data sets to graphs is imperative to our understanding of space physics. However, traditional visualization tools used in the space science community are either proprietary, lack portability or require paid license subscriptions. Therefore we are attempting to resolve these shortcomings by developing cross-platform, free-to-use, easily set up interactive visualization tools that is accessible to any web browsers. This project will showcase five different applications based on a Python framework called Dash developed by plotly. These applications are proved to be capable of visualizing 3D space physics data sets including satellite measurements, ground measurements, or numerical model simulation results. The first two applications use the Cluster II satellite measurement data set provided by ESA, courtesy of Dr.~Elena Kornberg from the Max Plank Institute. The third and the fourth applications use the simulated magnetic field data generated by the Tsyganenko magnetic field model. The fifth application visualizes ion density from an empirical model based on geo-tail data while the final application can plot calculation results from the Polar Wind Outflow Model. By demonstrating the advantages of our visualization tool, we hope to show the significance of a generalized framework, which could benefit the entire space science community. Due to the time constraint of this project, we did not explore all the options provided by Dash. However, we firmly believe this tool has great potential and will be more powerful with additional features such as parallel computing, cloud computing, and the ability to record animations.","abstract_has_math":false,"creators":["Hu, Huizi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Ilie, Raluca"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T02:34:34Z","date_published":"2021-09-17T02:34:34Z","updated_at":"2026-07-22T22:24:52Z","subjects":["plotly","visualization","python","space science"],"languages":["en"],"rights":["Copyright 2021 Huizi Hu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110689","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ilie, Raluca"]},{"key":"dc:creator","label":"Author","values":["Hu, Huizi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T02:34:34Z","2023-09-17T02:34:57Z","2021-04-23","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["plotly","visualization","python","space science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Huizi Hu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110689"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The capability of visualizing numerical data sets to graphs is imperative to our understanding of space physics. However, traditional visualization tools used in the space science community are either proprietary, lack portability or require paid license subscriptions. Therefore we are attempting to resolve these shortcomings by developing cross-platform, free-to-use, easily set up interactive visualization tools that is accessible to any web browsers. This project will showcase five different applications based on a Python framework called Dash developed by plotly. These applications are proved to be capable of visualizing 3D space physics data sets including satellite measurements, ground measurements, or numerical model simulation results. The first two applications use the Cluster II satellite measurement data set provided by ESA, courtesy of Dr.~Elena Kornberg from the Max Plank Institute. The third and the fourth applications use the simulated magnetic field data generated by the Tsyganenko magnetic field model. The fifth application visualizes ion density from an empirical model based on geo-tail data while the final application can plot calculation results from the Polar Wind Outflow Model. By demonstrating the advantages of our visualization tool, we hope to show the significance of a generalized framework, which could benefit the entire space science community. Due to the time constraint of this project, we did not explore all the options provided by Dash. However, we firmly believe this tool has great potential and will be more powerful with additional features such as parallel computing, cloud computing, and the ability to record animations.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Huizi Hu, accepted the attached license on 2021-04-16 at 23:30.","The student, Huizi Hu, submitted this Thesis for approval on 2021-04-16 at 23:36.","This Thesis was approved for publication on 2021-04-23 at 09:37.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16382 on 2021-09-16 at 17:03:36","Made available in DSpace on 2021-09-17T02:34:34Z (GMT). No. of bitstreams: 2 HU-THESIS-2021.pdf: 8005570 bytes, checksum: dacbfae50139a31ed064046a9bfdc8aa (MD5) LICENSE.txt: 4205 bytes, checksum: a5d51f5c4eb670f801ab2bfc889f81ed (MD5) Previous issue date: 2021-04-23","Embargo set by: Seth Robbins for item 118532 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Interactive visualization framework for space plasma data sets"]}]}],"canonical_facts":{"dc:contributor":["Ilie, Raluca"],"dc:creator":["Hu, Huizi"],"dc:date":["2021-09-17T02:34:34Z","2023-09-17T02:34:57Z","2021-04-23","2021-05"],"dc:description":["The capability of visualizing numerical data sets to graphs is imperative to our understanding of space physics. However, traditional visualization tools used in the space science community are either proprietary, lack portability or require paid license subscriptions. Therefore we are attempting to resolve these shortcomings by developing cross-platform, free-to-use, easily set up interactive visualization tools that is accessible to any web browsers. This project will showcase five different applications based on a Python framework called Dash developed by plotly. These applications are proved to be capable of visualizing 3D space physics data sets including satellite measurements, ground measurements, or numerical model simulation results. The first two applications use the Cluster II satellite measurement data set provided by ESA, courtesy of Dr.~Elena Kornberg from the Max Plank Institute. The third and the fourth applications use the simulated magnetic field data generated by the Tsyganenko magnetic field model. The fifth application visualizes ion density from an empirical model based on geo-tail data while the final application can plot calculation results from the Polar Wind Outflow Model. By demonstrating the advantages of our visualization tool, we hope to show the significance of a generalized framework, which could benefit the entire space science community. Due to the time constraint of this project, we did not explore all the options provided by Dash. However, we firmly believe this tool has great potential and will be more powerful with additional features such as parallel computing, cloud computing, and the ability to record animations.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Huizi Hu, accepted the attached license on 2021-04-16 at 23:30.","The student, Huizi Hu, submitted this Thesis for approval on 2021-04-16 at 23:36.","This Thesis was approved for publication on 2021-04-23 at 09:37.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16382 on 2021-09-16 at 17:03:36","Made available in DSpace on 2021-09-17T02:34:34Z (GMT). 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