The article presents a proposal to contextualize the study of movement in introductory courses of university physics, as a contribution to decision making in social situations. For this, the use of kinetic impact projectiles and the actual data provided by official sources are considered. This information is used in an object motion model describing the kinematic characteristics of a spherical projectile (a rubber bullet). For these purposes, a Reynolds number Re ≫ 1 was used, which allows one to apply a nonlinear motion equation to find the velocity and impact energy per unit area of a projectile. The results and analysis of this model can generate an interesting discussion in the classroom about the need to build protocols for the use of kinetic impact projectiles, and the importance of using scientific knowledge in social conflicts.

The Latin American Giant Observatory (LAGO) is an extensive network of water Cherenkov detectors spread across Latin America, functioning as an astroparticle observatory. With its broad range of altitudes and geomagnetic rigidity cut-offs, the primary focus of LAGO's scientific program is to study space weather, climate phenomena, and high-energy astrophysical transients from ground level. To bolster these programs, the comprehensive simulation framework of ARTI and onedataSim was developed. This framework enables the calculation of the total secondary particle flux and the corresponding signals expected in various types of detectors operating anywhere in the world. It also incorporates the effects of real-time atmospheric and geomagnetic conditions, both secular and disturbed. These tools harness the expanding computational capabilities of highperformance computing facilities and cloud-based computing environments. By integrating these tools and infrastructures, we have managed to extend the total integration times of the background flux and the energy range of atmospheric neutrons. In this contribution, we illustrate how this intricate simulation sequence aids in achieving LAGO's scientific objectives. We also explore other applications, such as estimating the expected dose on board commercial flights, simulating the muon flux for muography studies, determining the distribution of neutrons in nuclear and medical facilities, and estimating the rate of errors produced by atmospheric neutrons in the upcoming generation of exascale supercomputing centers worldwide.

Atmospheric conditions affect the development of cascades of secondary particles produced by primary cosmic rays. Global Data Assimilation System, implementing atmospheric models based on meteorological measurements and numerical weather predictions, could significantly improve the outcomes of the simulations for extensive air shower.In this work, we present a methodology to simulate the effect of the atmospheric models in secondary particle flux at the Earth's surface. The method was implemented for Bucaramanga-Colombia, using ARTI: a complete computational framework developed by the Latin American Giant Observatory Collaboration to estimate the particle spectra on Water Cherenkov Detectors depending on the geographical coordinates. As preliminary results, we observe differences in the total flux that varies from month to month with respect to the subtropical summer atmospheric profile.

Nuevas aproximaciones al test de Lawson: un análisis desde las teorías piagetianas y la neurociencia Echiburu

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