Modeling the Performance and Resource Requirements for Gamma-Ray Telescope Signal Processing

<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>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Systems Engineering

Year dc:date.available

2024

Author dc:creator

• Liang, Shijing

Contributors dc:contributor

• Roger Chamberlain (Computer Science & Engineering)
• James Buckley, Chuan Wang

• Engineering

Statement dc:rights

• I have not registered my thesis with the U.S. Copyright Office, and do not intend to.

Language dc:language

English (en)

Identifier

https://openscholarship.wustl.edu/eng_etds/1099

OAI identifier oai:identifier

oai:openscholarship.wustl.edu:eng_etds-2170