Abstract
Simulations in astrophysics play a crucial role in testing models and comparing them with observational data, for which High-Performance Computing has become indispensable for handling complex scenarios. In this paper, we present two important applications in astrophysical simulations. First, we explore the adaptation of the Pencil Code to study the evolution of magnetic field configurations in stratified stars. Second, we highlight the ARTI framework developed to estimate signals at the Latin American Giant Observatory. In addition, we discuss the importance of reproducibility in scientific analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
References
Agostinelli, S., Allison, J., Amako, K., Apostolakis, J., et al.: Geant4 - a simulation toolkit. Nucl. Instrum. Methods Phys. Res. Sect. A: Acceler. Spectromet. Detect. Associat. Equip. 506(3), 250–303 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8
Asorey, H., Dasso, S., Núñez, L.A., Pérez, Y., Sarmiento-Cano, C., Suárez-Durán, M., the LAGO Collaboration: The LAGO space weather program: drectional geomagnetic effects, background fluence calculations and multi-spectral data analysis. In: The 34th International Cosmic Ray Conference, vol. PoS(ICRC2015), p. 142 (2015)
Asorey, H., Núñez, L., Suárez-Durán, M.: Preliminary results from the Latin American giant observatory space weather simulation chain. Space Weather 16(5), 461–475 (2018)
Becerra, L., Reisenegger, A., Valdivia, J.A., Gusakov, M.E.: Evolution of random initial magnetic fields in stably stratified and barotropic stars. Mon. Not. R. Astron. Soc. 511(1), 732–745 (2022). https://doi.org/10.1093/mnras/stac102
Braithwaite, J., Nordlund, Å.: Stable magnetic fields in stellar interiors. Astron. Astrophys. 450(3), 1077–1095 (2006). https://doi.org/10.1051/0004-6361:20041980
Fryxell, B., et al.: FLASH: an adaptive mesh hydrodynamics code for modeling astrophysical thermonuclear flashes. Astrophys. J. Suppl. 131(1), 273–334 (2000). https://doi.org/10.1086/317361
Heck, D., Knapp, J., Capdevielle, J.N., Schatz, G., Thouw, T.: CORSIKA: a Monte Carlo code to simulate extensive air showers (1998)
Jourde, K., et al.: Monitoring temporal opacity fluctuations of large structures with muon radiography: a calibration experiment using a water tower. Sci. Rep. 6(23054) (2016). https://doi.org/10.1038/srep23054
Kneizys, F.X., Abreu, L.W., Anderson, G.P., Chetwynd, J.H., et al.: The MODTRAN 2/3 report and LOWTRAN 7 model. Tech. Rep. (1996). https://web.gps.caltech.edu/~vijay/pdf/modrept.pdf
Mignone, A., et al.: PLUTO: a numerical code for computational astrophysics. Astrophys. J. Suppl. 170(1), 228–242 (2007). https://doi.org/10.1086/513316
Pencil Code Collaboration, Brandenburg, A., et al.: The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained. J. Open Source Softw. 6(58), 2807 (2021). https://doi.org/10.21105/joss.02807
Price, D.J., et al.: Phantom: a smoothed particle hydrodynamics and magnetohydrodynamics code for astrophysics. Publ. Astron. Soc. Austral. 35, e031 (2018). https://doi.org/10.1017/pasa.2018.25
Rubio-Montero, A.J., Pagán-Muñoz, R., Mayo-García, R., Pardo-Diaz, A., Sidelnik, I., Asorey, H.: The EOSC-synergy cloud services implementation for the Latin American giant observatory (LAGO). arXiv preprint arXiv:2111.11190 (2021)
Sarmiento-Cano, C., et al.: The arti framework: cosmic rays atmospheric background simulations. Eur. Phys. J. C 82, 1019 (2022). https://doi.org/10.1140/epjc/s10052-022-10883-z
Springel, V., Pakmor, R., Zier, O., Reinecke, M.: Simulating cosmic structure formation with the GADGET-4 code. Mon. Not. R. Astron. Soc. 506(2), 2871–2949 (2021). https://doi.org/10.1093/mnras/stab1855
Teyssier, R.: Cosmological hydrodynamics with adaptive mesh refinement. A new high resolution code called RAMSES. Astron. Astrophys. 385, 337–364 (2002). https://doi.org/10.1051/0004-6361:20011817
Usoskin, I.G., et al.: Forbush decreases of cosmic rays: energy dependence of the recovery phase. J. Geophys. Res.: Space Phys. 113(A7) (2008). https://doi.org/10.1029/2007JA012955
Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3(1), 160018 (2016). https://doi.org/10.1038/sdata.2016.18
Acknowledgement
L. M. B is supported by the Vicerrectoría de Investigación y Extensión - Universidad Industrial de Santander Postdoctoral Fellowship Programme No. 2023000359. MINCIENCIAS has partially founded this work under project 82242 of call 890 of 2020, managed through the ICETEX contract 2022-0718. The computations presented in this paper were performed on the Hypatia cluster at the Universidad de los Andes and the Guane cluster at the Universidad Industrial de Santander, both located in Colombia. These HPC clusters were accessed through the LaRedCCA initiative of the National Academic Network of Advanced Technology, RENATA.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Becerra, L.M., Sarmiento-Cano, C., Martínez-Méndez, A., Dominguez, Y., Núñez, L.A. (2024). High-Performance Computing for Astrophysical Simulations and Astroparticle Observations. In: Barrios H., C.J., Rizzi, S., Meneses, E., Mocskos, E., Monsalve Diaz, J.M., Montoya, J. (eds) High Performance Computing. CARLA 2023. Communications in Computer and Information Science, vol 1887. Springer, Cham. https://doi.org/10.1007/978-3-031-52186-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-52186-7_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-52185-0
Online ISBN: 978-3-031-52186-7
eBook Packages: Computer ScienceComputer Science (R0)