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The Advanced Particle-astrophysics Telescope (APT): Computation in Space

Published: 01 July 2024 Publication History

Abstract

The Advanced Particle-astrophysics Telescope (APT), which is being designed for a Sun-Earth Lagrange L2 orbit, and its balloon-borne Antarctic Demonstrator (ADAPT) represent substantial challenges in computational sensing. Since communications with earth-bound computing resources are intermittent and are constrained to low data rates, the bulk of the computational science must be accomplished aboard the instrument. We describe the computational requirements for APT and our current plan for achieving those requirements through a combination of custom hardware, FPGAs, and embedded processor cores.

References

[1]
J Aasi et al. 2013. Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light. Nature Photonics 7, 8 (July 2013), 613--619. https://doi.org/10.1038/nphoton.2013.177
[2]
BP Abbott et al. 2009. LIGO: The laser interferometer gravitational-wave observatory. Reports on Progress in Physics 72, 7 (2009), 076901. https://doi.org/10.1088/0034-4885/72/7/076901
[3]
C Altomare, JH Buckley, et al. 2022. Simulation of a Compton-pair imaging calorimeter and tracking system for the next generation of MeV gamma-ray telescopes. In Journal of Physics: Conference Series, Vol. 2374. IOP Publishing, 012116. https://doi.org/10.1088/1742-6596/2374/1/012116
[4]
C Aramo, E Bissaldi, M Bitossi, et al. 2023. A SiPM multichannel ASIC for high Resolution Cherenkov Telescopes (SMART) developed for the pSCT camera telescope. Nucl. Instrum. Methods Phys. Res. A 1047 (2023), 167839. https://doi.org/10.1016/j.nima.2022.167839
[5]
Rodolfo Artola et al. 2020. TOROS optical follow-up of the advanced LIGO-VIRGO O2 second observational campaign. Monthly Notices of the Royal Astronomical Society 493, 2 (2020), 2207--2214. https://doi.org/10.1093/mnras/stz3634
[6]
Imre Bartos and Marek Kowalski. 2017. Multimessenger Astronomy. IOP Publishing. https://doi.org/10.1088/978-0-7503-1369-8
[7]
K Bechtol et al. 2012. TARGET: A multi-channel digitizer chip for very-high-energy gamma-ray telescopes. Astroparticle Physics 36, 1 (2012), 156--165. https://doi.org/10.1016/j.astropartphys.2012.05.016
[8]
Diego Bersanetti et al. 2021. Advanced Virgo: Status of the detector, latest results and future prospects. Universe 7, 9 (2021), 322. https://doi.org/10.3390/universe7090322
[9]
SE Boggs and P Jean. 2000. Event reconstruction in high resolution Compton telescopes. Astronomy and Astrophysics Supplement Series 145, 2 (2000), 311--321. https://doi.org/10.1051/aas:2000107
[10]
James Buckley et al. 2021. The Advanced Particle-astrophysics Telescope (APT) Project Status. In Proc. of 37th Int'l Cosmic Ray Conference, Vol. 395. Sissa Medialab, 655:1--655:9. https://doi.org/10.22323/1.395.0655
[11]
A Bulgarelli et al. 2014. The Agile alert system for gamma-ray transients. The Astrophysical Journal 781, 1 (Jan. 2014), 13 pages. https://doi.org/10.1088/0004-637X/781/1/19
[12]
Wenlei Chen et al. 2021. The Advanced Particle-astrophysics Telescope: Simulation of the Instrument Performance for Gamma-Ray Detection. In Proc. of 37th Int'l Cosmic Ray Conference, Vol. 395. Sissa Medialab, 590:1--590:9. https://doi.org/10.22323/1.395.0590
[13]
Wenlei Chen et al. 2023. The Advanced Particle-astrophysics Telescope: Reconstruction of the MeV gamma-ray sky and estimation of point-source sensitivity in the presence of the background. In 20th Divisional Meeting of the High Energy Astrophysics Division. American Astronomical Society.
[14]
Wenlei Chen, James Buckley, et al. 2023. Simulation of the instrument performance of the Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope in the presence of the MeV background. In Proc. of 38th Int'l Cosmic Ray Conference, Vol. 444. Sissa Medialab, 841:1--841:9. https://doi.org/10.22323/1.444.0841
[15]
S Funk et al. 2017. TARGET: A digitizing and trigger ASIC for the Cherenkov telescope array. In AIP Conference Proceedings, Vol. 1792. American Institute of Physics, 080012. https://doi.org/10.1063/1.4969033
[16]
Ye Htet et al. 2023. Localization of Gamma-ray Bursts in a Balloon-Borne Telescope. In Proc. of Workshops of Int'l Conf. on High Performance Computing, Network, Storage, and Analysis. ACM, 395--398. https://doi.org/10.1145/3624062.3624107
[17]
Ye Htet et al. 2023. Prompt and Accurate GRB Source Localization Aboard the Advanced Particle Astrophysics Telescope (APT) and its Antarctic Demonstrator (ADAPT). In Proc. of 38th Int'l Cosmic Ray Conference, Vol. 444. Sissa Medialab, 956:1--956:9. https://doi.org/10.22323/1.444.0956
[18]
Zachary Hughes et al. 2021. Characterization of a prototype imaging calorimeter for the Advanced Particle-astrophysics Telescope from an Antarctic balloon flight and CERN beam test. In Proc. of 37th Int'l Cosmic Ray Conference, Vol. 395. Sissa Medialab, 137:1--137:9. https://doi.org/10.22323/1.395.0137
[19]
C Karwin, S Boggs, J Tomsick, A Zoglauer, et al. 2022. The COSI Data Challenges and Simulations. Bulletin of the AAS 54, 3 (April 2022). https://baas.aas.org/pub/2022n3i108p30
[20]
J Knödlseder et al. 1999. Image reconstruction of COMPTEL 1.8 MeV 26AL line data. Astronomy and Astrophysics 345 (May 1999), 813--825.
[21]
Jay Kreps, Neha Narkhede, and Jun Rao. 2011. Kafka: A distributed messaging system for log processing. In Proc. of 6th Workshop on Networking Meets Databases (NetDB). ACM, 7 pages.
[22]
Siu Kwan Lam, Antoine Pitrou, and Stanley Seibert. 2015. Numba: a LLVM-based Python JIT compiler. In Proc. of 2nd Workshop on the LLVM Compiler Infrastructure in HPC. ACM, Article 7, 6 pages. https://doi.org/10.1145/2833157.2833162
[23]
LIGO Scientific Collaboration, Virgo Collaboration, et al. 2019. Low-latency Gravitational-wave Alerts for Multimessenger Astronomy during the Second Advanced LIGO and Virgo Observing Run. The Astrophysical Journal 875, 2 (2019), 20 pages. https://doi.org/10.3847/1538-4357/ab0e8f
[24]
Péter Mészáros, Derek B Fox, Chad Hanna, and Kohta Murase. 2019. Multi-messenger astrophysics. Nature Reviews Physics 1, 10 (2019), 585--599. https://doi.org/10.1038/s42254-019-0101-z
[25]
M Mishra et al. 2022. Application of High Density Digitizer System-on-Chip (HDSoC) prototype for acquiring fast silicon photomultiplier signals. In Proc. of Nuclear Science Symposium and Medical Imaging Conference. IEEE, 3 pages. https://doi.org/10.1109/NSS/MIC44845.2022.10399253
[26]
Andrii Neronov. 2019. Introduction to multi-messenger astronomy. In Journal of Physics: Conference Series, Vol. 1263. IOP Publishing, 012001. https://doi.org/10.1088/1742-6596/1263/1/012001
[27]
Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, and Crissman Loomis. 2017. CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations. In Proc. of Workshop on Machine Learning Systems. 7 pages. http://learningsys.org/nips17/assets/papers/paper_16.pdf
[28]
James Orr, Chris Gill, Kunal Agrawal, Jing Li, and Sanjoy Baruah. 2019. Elastic Scheduling for Parallel Real-Time Systems. Leibniz Trans. on Embedded Systems 6, 1 (May 2019), 05:1--05:14. https://doi.org/10.4230/LITES-v006-i001-a005
[29]
AN Otte et al. 2017. Characterization of three high efficiency and blue sensitive silicon photomultipliers. Nucl. Instrum. Methods Phys. Res. A 846 (2017), 106--125. https://doi.org/10.1016/j.nima.2016.09.053
[30]
Stefan Ritt. 2008. Design and performance of the 6 GHz waveform digitizing chip DRS4. In IEEE Nuclear Science Symposium Conference Record. IEEE, 1512--1515. https://doi.org/10.1109/NSSMIC.2008.4774700
[31]
Jamie Shin et al. 2024. Accelerating Compton Imaging of Astrophysical Sources in Python. In 21th Divisional Meeting of the High Energy Astrophysics Division. American Astronomical Society.
[32]
Marion Sudvarg et al. 2021. A Fast GRB Source Localization Pipeline for the Advanced Particle-astrophysics Telescope. In Proc. of 37th Int'l Cosmic Ray Conference, Vol. 395. Sissa Medialab, 588:1--588:9. https://doi.org/10.22323/1.395.0588
[33]
Marion Sudvarg et al. 2023. Front-End Computational Modeling and Design for the Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope. In Proc. of 38th Int'l Cosmic Ray Conference, Vol. 444. Sissa Medialab, 764:1--764:9. https://doi.org/10.22323/1.444.0764
[34]
Marion Sudvarg, Jeremy Buhler, Roger D. Chamberlain, Chris Gill, James Buckley, and Wenlei Chen. 2023. Parameterized Workload Adaptation for Fork-Join Tasks with Dynamic Workloads and Deadlines. In Proc. of IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 232--242. https://doi.org/10.1109/RTCSA58653.2023.00035
[35]
Marion Sudvarg, Chenfeng Zhao, Ye Htet, Meagan Konst, Thomas Lang, Nick Song, Roger D. Chamberlain, Jeremy Buhler, and James H. Buckley. 2024. HLS Taking Flight: Toward Using High-Level Synthesis Techniques in a Space-Borne Instrument. In Proc. of 21st International Conference on Computing Frontiers. ACM, 12 pages. https://doi.org/10.1145/3649153.3649209
[36]
John Tomsick et al. 2021. The Compton Spectrometer and Imager Project for MeV Astronomy. In Proc. of 37th Int'l Cosmic Ray Conference, Vol. 395. Sissa Medialab, 652:1--652:9. https://doi.org/10.22323/1.395.0652
[37]
TC Weekes et al. 2002. VERITAS: the very energetic radiation imaging telescope array system. Astroparticle Physics 17, 2 (2002), 221--243. https://doi.org/10.1016/S0927-6505(01)00152-9
[38]
Jacob Wheelock, William Kanu, Marion Sudvarg, Zhili Xiao, Jeremy D. Buhler, Roger D. Chamberlain, and James H. Buckley. 2021. Supporting Multimessenger Astrophysics with Fast Gamma-ray Burst Localization. In Proc. of HPC for Urgent Decision Making Workshop. IEEE, 8 pages. https://doi.org/10.1109/UrgentHPC54802.2021.00008
[39]
J Zorn et al. 2018. Characterisation and testing of CHEC-M---A camera prototype for the small-sized telescopes of the Cherenkov telescope array. Nucl. Instrum. Methods Phys. Res. A 904 (2018), 44--63. https://doi.org/10.1016/j.nima.2018.06.078

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  • (2024)Elastic Scheduling for Graceful Degradation of Mixed-Criticality SystemsProceedings of the 32nd International Conference on Real-Time Networks and Systems10.1145/3696355.3699701(218-228)Online publication date: 6-Nov-2024
  • (2024)Machine Learning Aboard the ADAPT Gamma-Ray TelescopeProceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis10.1109/SCW63240.2024.00008(4-10)Online publication date: 17-Nov-2024

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cover image ACM Conferences
CF '24 Companion: Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions
May 2024
163 pages
ISBN:9798400704925
DOI:10.1145/3637543
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 01 July 2024

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  1. Gamma-ray astronomy
  2. multi-messenger astrophysics

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  • (2024)Elastic Scheduling for Graceful Degradation of Mixed-Criticality SystemsProceedings of the 32nd International Conference on Real-Time Networks and Systems10.1145/3696355.3699701(218-228)Online publication date: 6-Nov-2024
  • (2024)Machine Learning Aboard the ADAPT Gamma-Ray TelescopeProceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis10.1109/SCW63240.2024.00008(4-10)Online publication date: 17-Nov-2024

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