A comprehensive modelling and experimental approach for damped oscillations in U-tubes via Easy JavaScript Simulations

Bibcode
2023PhyEd..58e5007O
DOI
10.1088/1361-6552/acdb27
Orjuela, Fredy A.; García-Farieta, J. E.; Hortúa, Héctor J.; Munévar, E.
Referencia bibliográfica

Physics Education

Fecha de publicación:
9
2023
Revista
Physics Education
Número de autores
4
Número de autores del IAC
1
Número de citas
0
Número de citas referidas
0
Descripción
In recent years, science simulations have become popular among educators due to their educational usefulness, availability, and potential for increasing the students' knowledge on scientific topics. In this paper, we introduce the implementation of a user-friendly simulation based on Easy Java/JavaScript Simulations (EJS) to study the problem of damped oscillations in U-tubes EJS. Furthermore, we illustrate various advantages associated with the capabilities of EJS in terms of design and usability in order to encourage teachers to use it as an educational supplement to physics laboratories .
Tipo
Con árbitro

Te puede interesar

  • Con árbitro
    An ultra-short-period super-Earth with an extremely high density and an outer companion
    We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal
    Livingston, John H. et al.

    Fecha de publicación:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Número de citas
    0
  • Con árbitro
    Neural calibration of imaging Stokes polarimeters
    Current polarimetric calibration techniques derive the instrument modulation matrix by numerically fitting an instrumental model to measurements of a set of calibration Stokes vectors. These techniques are typically limited to an error on the retrieved normalized Stokes Q, U and V parameters, in the $1\times10^{-2}$ to $1\times10^{-3}$ range. This
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Número de citas
    0
  • Con árbitro
    Model-based identification of solar coronal mass ejections using deep neural networks
    Coronal mass ejections (CMEs) are a major driver of space weather and thus can have important negative technological and social impacts. To assess their geoeffectiveness once they are ejected, it is crucial their prompt identification in coronagraph images. In the last decade, deep neural networks (DNN) have experienced enormous improvements in
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Número de citas
    0