M. Sudvarg
18 Papers
M. Sudvarg is an academic researcher. The author has contributed to research in topics: Computer science & Scheduling (production processes). The author has an hindex of 2, co-authored 5 publications.
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Papers
Simulation of the instrument performance of the Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope in the presence of the MeV background
Wen‐Lei Chen,J. H. Buckley,Corrado Altomare,M. Andrew,Blake Bal,R. Bose,D. L. Braun,Jeremy Buhler,Eric Burns,Roger D. Chamberlain,Michael Cherry,L. Di Venere,Jeffrey Dumonthier,Manel Errando,Stefan Funk,Priya Ghosh,R. Giordano,J. Hoffman,Yee May Htet,Zachary Hughes,Aera Jung,Patrick J. Kelly,John Krizmanic,Makiko Kuwahara,F. Licciulli,Gang Liu,Leonarda Lorusso,Mario Nicola Mazziotta,John Mitchell,J. W. Mitchell,G. A. de Nolfo,G. Panzarini,Richard Peschke,Riccardo Paoletti,Roberta Pillera,Brian Rauch,D. Serini,G. E. Simburger,M. Sudvarg,George Suarez,T. Tatoli,G. S. Varner,Eric A. Wulf,A. Zink,Wolfgang V. Zober +44 more
- 25 Jul 2023
TL;DR: This study simulates the performance of the Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope (ADAPT) in the presence of MeV background, achieving degree-level to sub-degree-level observations of galactic and extragalactic gamma-rays with an effective area of 0.05 m^2.
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Front-End Computational Modeling and Design for the Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope
M. Sudvarg,Yee May Htet,Roger D. Chamberlain,Jeremy Buhler,Blake Bal,Corrado Altomare,D. Serini,Mario Nicola,Mazziotta,L. Di Venere,Wen‐Lei Chen,J. H. Buckley,Ulysses Atekson,Meagan Konst,T. Lang,Shun,Li,Diana Pacheco-Garcia,Nick Song,Chenfeng Zhao,Zhiting Zhou,M. Andrew,R. Bose,D. L. Braun,Eric Burns,Michael Cherry,Jeffrey Dumonthier,Manel Errando,Stefan Funk,P. Ghosh,R. Giordano,Jonah,Hoffman,Zachary Hughes,Aera Jung,Patrick J. Kelly,John Krizmanic,Makiko Kuwahara,F. Licciulli,Gang,Liu,Leonarda Lorusso,John Mitchell,J. W. Mitchell,G. A. de Nolfo,G. Panzarini,Richard Peschke,Riccardo Paoletti,R. Pillera,Brian Rauch,G. E. Simburger,George Suarez,T. Tatoli,G. S. Varner,A. Eric,Wulf,A. Zink +56 more
- 17 Aug 2023
TL;DR: A model for uncertainty in the measured positions and deposited energies of Compton scatters in ADAPT is presented, informed by simulations of the scintillation response and optical propagation properties of the CsI tiles, as well as existing characterizations of the SiPM and preamplifier boards.
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Prompt and Accurate GRB Source Localization Aboard the Advanced Particle Astrophysics Telescope (APT) and its Antarctic Demonstrator (ADAPT)
M. Sudvarg,Yee May Htet,Jeremy Buhler,R. Chamberlain,J. H. Buckley,M. Andrew,Blake Bal,R. Bose,D. L. Braun,Eric Burns,Wen‐Lei Chen,Michael Cherry,L. Di Venere,Jeffrey Dumonthier,Manel Errando,Stefan Funk,P. Ghosh,R. Giordano,Jonah Hoffman,Zachary Hughes,Aera Jung,Patrick J. Kelly,John Krizmanic,Makiko Kuwahara,F. Licciulli,Gang Liu,Leonarda Lorusso,Mario Nicola Mazziotta,John Mitchell,J. W. Mitchell,G. A. de Nolfo,G. Panzarini,Richard Peschke,Riccardo Paoletti,R. Pillera,Brian Rauch,D. Serini,G. E. Simburger,George Suarez,T. Tatoli,G. S. Varner,Eric A. Wulf,A. Zink,Wolfgang V. Zober +43 more
- 17 Aug 2023
TL;DR: Researchers develop a real-time GRB detection and localization pipeline for the APT space telescope and its ADAPT prototype, achieving improved accuracy and speed, with ADAPT expected to localize GRBs to within 2-3 degrees 68% of the time.
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PolyRhythm: Adaptive Tuning of a Multi-Channel Attack Template for Timing Interference
Ao Li,M. Sudvarg,Huan Liu,Zhiyuan Yu,Chris Gill,Ning Zhang,H. Liu,yu. zhiyuan +7 more
- 01 Dec 2022
TL;DR: PolyRhythm as mentioned in this paper is a three-phase attack template that combines primitives across multiple architectural and kernel-based channels: (1) it uses an offline genetic algorithm to tune attack parameters based on the target hardware and OS platform; then, it performs an online search for regions of the attack parameter space where contention is most likely; and finally, it runs the attack primitives, using online reinforcement learning to adapt to dynamic execution patterns in the victim task.
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A Concurrency Framework for Priority-Aware Intercomponent Requests in CAmkES on seL4
M. Sudvarg,Chris Gill +1 more
- 01 Aug 2022
TL;DR: A new library for CAmkES is presented with a thread model that supports multiple concurrent requests to the same component endpoint; propagation and enforcement of priority metadata, such that those requests are appropriately prioritized; and implementations of Non-Preemptive Critical Sections, the Immediate Priority Ceiling Protocol and the Priority Inheritance Protocol for components encapsulating critical sections of exclusive access to a shared resource.
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