This thesis investigates the buffering requirements of the data pipeline for the Advanced Particle-astrophysics Telescope gamma-ray telescope. Given the importance and stochastic arrivals of astronomical signals, it is crucial to ensure that each gamma-ray signal is fully buffered to prevent data loss. To achieve this, FIFOs are inserted into the data processing pipeline to prevent bottlenecks during data packet processing. Buffers play a critical role in regulating data flow, preventing data loss, and ensuring efficient data processing. They act as temporary storage areas, absorbing data surges and releasing it steadily, thus maintaining the pipeline’s optimal performance. In general, buffer integration significantly enhances the stability and reliability of a data processing system. The use of buffers ensures the integrity and timeliness of critical astronomical signals, pro- viding reliable data support for subsequent investigation. This thesis uses discrete-event simulation models to assess the buffering requirements for a prototype gamma-ray telescope computational pipeline, ADAPT, the Antarctic Demonstrator for the Advanced Particle- astrophysics Telescope.
","abstract_html":"<p>This thesis investigates the buffering requirements of the data pipeline for the Advanced Particle-astrophysics Telescope gamma-ray telescope. Given the importance and stochastic arrivals of astronomical signals, it is crucial to ensure that each gamma-ray signal is fully buffered to prevent data loss. To achieve this, FIFOs are inserted into the data processing pipeline to prevent bottlenecks during data packet processing. Buffers play a critical role in regulating data flow, preventing data loss, and ensuring efficient data processing. They act as temporary storage areas, absorbing data surges and releasing it steadily, thus maintaining the pipeline’s optimal performance. In general, buffer integration significantly enhances the stability and reliability of a data processing system. The use of buffers ensures the integrity and timeliness of critical astronomical signals, pro- viding reliable data support for subsequent investigation. This thesis uses discrete-event simulation models to assess the buffering requirements for a prototype gamma-ray telescope computational pipeline, ADAPT, the Antarctic Demonstrator for the Advanced Particle- astrophysics Telescope.</p>","abstract_has_math":false,"creators":["Liang, Shijing"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Electrical & Systems Engineering","degree_department":null,"school":null,"contributors":["Roger Chamberlain (Computer Science & Engineering)","James Buckley, Chuan Wang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-14T08:00:00Z","date_published":"2024-12-14T08:00:00Z","updated_at":"2026-07-24T06:13:31Z","subjects":["Engineering"],"languages":["English (en)"],"rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openscholarship.wustl.edu/eng_etds/1099"],"render_values":[{"text":"https://openscholarship.wustl.edu/eng_etds/1099","href":"https://openscholarship.wustl.edu/eng_etds/1099","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.7936/armg-t374","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Roger Chamberlain (Computer Science & Engineering)","James Buckley, Chuan Wang"]},{"key":"dc:creator","label":"Author","values":["Liang, Shijing"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-10-29T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Systems Engineering","McKelvey School of Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English (en)"]},{"key":"dc:rights","label":"Dc Rights","values":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.7936/armg-t374","https://openscholarship.wustl.edu/eng_etds/1099"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis investigates the buffering requirements of the data pipeline for the Advanced Particle-astrophysics Telescope gamma-ray telescope. Given the importance and stochastic arrivals of astronomical signals, it is crucial to ensure that each gamma-ray signal is fully buffered to prevent data loss. To achieve this, FIFOs are inserted into the data processing pipeline to prevent bottlenecks during data packet processing. Buffers play a critical role in regulating data flow, preventing data loss, and ensuring efficient data processing. They act as temporary storage areas, absorbing data surges and releasing it steadily, thus maintaining the pipeline’s optimal performance. In general, buffer integration significantly enhances the stability and reliability of a data processing system. The use of buffers ensures the integrity and timeliness of critical astronomical signals, pro- viding reliable data support for subsequent investigation. This thesis uses discrete-event simulation models to assess the buffering requirements for a prototype gamma-ray telescope computational pipeline, ADAPT, the Antarctic Demonstrator for the Advanced Particle- astrophysics Telescope.
"]},{"key":"dc:title","label":"Title","values":["Modeling the Performance and Resource Requirements for Gamma-Ray Telescope Signal Processing"]}]}],"canonical_facts":{"dc:contributor":["Roger Chamberlain (Computer Science & Engineering)","James Buckley, Chuan Wang"],"dc:creator":["Liang, Shijing"],"dc:date.available":["2024-10-29T07:00:00Z"],"dc:description.abstract":["This thesis investigates the buffering requirements of the data pipeline for the Advanced Particle-astrophysics Telescope gamma-ray telescope. Given the importance and stochastic arrivals of astronomical signals, it is crucial to ensure that each gamma-ray signal is fully buffered to prevent data loss. To achieve this, FIFOs are inserted into the data processing pipeline to prevent bottlenecks during data packet processing. Buffers play a critical role in regulating data flow, preventing data loss, and ensuring efficient data processing. They act as temporary storage areas, absorbing data surges and releasing it steadily, thus maintaining the pipeline’s optimal performance. In general, buffer integration significantly enhances the stability and reliability of a data processing system. The use of buffers ensures the integrity and timeliness of critical astronomical signals, pro- viding reliable data support for subsequent investigation. This thesis uses discrete-event simulation models to assess the buffering requirements for a prototype gamma-ray telescope computational pipeline, ADAPT, the Antarctic Demonstrator for the Advanced Particle- astrophysics Telescope.
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