Objects fall with constant acceleration regardless of mass

Authors

  • Ayaan Hallur Science & Engineering Magnet Program, Manalapan High School
  • Justin Chan Science & Engineering Magnet Program, Manalapan High School
  • Mark Reznik Science & Engineering Magnet Program, Manalapan High School
  • Paul Zlotnikov Science & Engineering Magnet Program, Manalapan High School
  • Joe Tiboni Science & Engineering Magnet Program, Manalapan High School

DOI:

https://doi.org/10.64804/hsepny74

Keywords:

free fall, kinematics, gravity, acceleration, Galileo, Aristotle, tennis ball, ping pong ball, redball, bowling ball, shotput, Python, scipy, numpy, matplotlib, R, ggplot2, dplyr

Abstract

This study replicated Galileo Galilei's experiment to test his hypothesis that objects fall with constant acceleration independent of mass, neglecting air resistance. We dropped five objects of varying masses (0.002-5.21 kg) from a 5 m height and measured descent times using video digitization. We compared experimental fall times to the theoretical prediction using the kinematic equation y=-0.5 g t2. Objects were found to fall with the same acceleration (ANOVA, p=0.34). Linear regression analysis of distance versus t2 yielded R2 values between 0.92 and 0.999 across all objects, confirming that objects undergo constant acceleration. External factors such as air resistance caused minor deviations from theory, but the data strongly support Galileo's hypothesis.

 

References

Aristotle, Physics, Book IV (350 BCE).

G. Galilei, Discorsi e dimonstrazioni matematiche, intorno à due nuoue scienze attenenti alla mecanica & i movimenti locali (1638).

P. Machamer and D. M. Miller, Galileo Galilei, https://plato.stanford.edu/entries/galileo/ (2021).

P. A. Tipler and G. Mosca, Physics for Scientists and Engineers, 5th ed. (W H Freeman and Company, New York, 2004).

W. Moebs, S. J. Ling, and J. Sanny, University Physics, Vol. 1 (OpenStax, Houston, TX, 2016).

R. A. Pelcovits and J. Farkas, Barron’s AP Physics C Premium (Kaplan North America, Fort Lauderdale, FL, 2024).

D. Brown, R. Hanson, and W. Christian, Tracker video analysis and modeling tool (2025), version 6.3.3.

J. Renika, E. C. Prima, and A. Amprasto, Kinematic analysis on accelerated motion using Tracker video analysis for educational purposes, Momentum Physics Education Journal 8, 23 (2024). DOI: https://doi.org/10.21067/mpej.v8i1.8883

C. R. Harris, K. J. Millman, S. J. van der Walt, R. Gommers, P. Virtanen, D. Cournapeau, E. Wieser, J. Taylor, S. Berg, N. J. Smith, R. Kern, M. Picus, S. Hoyer, M. H. van Kerkwijk, M. Brett, A. Haldane, J. F. del Rı́o, M. Wiebe, P. Peterson, P. Gérard-Marchant, K. Sheppard, T. Reddy, W. Weckesser, H. Abbasi, C. Gohlke, and T. E. Oliphant, Array programming with numpy, Nature 585, 357 (2020). DOI: https://doi.org/10.1038/s41586-020-2649-2

P. Virtanen, R. Gommers, T. E. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, S. J. van der Walt, M. Brett, J. Wilson, K. J. Millman, N. Mayorov, A. R. J. Nelson, E. Jones, R. Kern, E. Larson, C. J. Carey, İ. Polat, Y. Feng, E. W. Moore, J. VanderPlas, D. Laxalde, J. Perktold, R. Cimrman, I. Henriksen, E. A. Quintero, C. R. Harris, A. M. Archibald, A. H. Ribeiro, F. Pedregosa, P. van Mulbregt, and SciPy 1.0 Contributors, scipy 1.0: fundamental algorithms for scientific comput-

ing in Python, Nature Methods 17, 261 (2020). DOI: https://doi.org/10.1515/9783110673944-015

J. D. Hunter, matplotlib: a 2D graphics environment, Computing in Science & Engineering 9, 90 (2007). DOI: https://doi.org/10.1109/MCSE.2007.55

D. S. Starnes, J. Tabor, D. Yates, and D. S. Moore, The Practice of Statistics, 5th ed. (W. H. Freeman and Company, 2015).

R Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria (2025).

H. Wickham, R. François, L. Henry, K. Müller, and D. Vaughan, dplyr: A Grammar of Data Manipulation (2026), R package version 1.2.0.

H. Wickham, ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag New York, 2016). DOI: https://doi.org/10.1007/978-3-319-24277-4_9

R. K. Hetzler, C. D. Stickley, K. M. Lundquist, and I. F. Kimura, Reliability and accuracy of handheld stopwatches compared with electronic timing in measuring sprint performance, Journal of Strength and Conditioning Research 22, 1969 (2008). DOI: https://doi.org/10.1519/JSC.0b013e318185f36c

D. A. Faux and J. Godolphin, Manual timing in physics experiments: error and uncertainty, American Journal of Physics 87, 110 (2019) DOI: https://doi.org/10.1119/1.5085437

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Published

2026-02-26

Data Availability Statement

Data are available at https://github.com/devangel77b/427mreznik-lab1

Issue

Section

Articles

How to Cite

Hallur, A., Chan, J., Reznik, M., Zlotnikov, P., & Tiboni, J. (2026). Objects fall with constant acceleration regardless of mass. Journal of Science & Engineering, 2(2), 53-55. https://doi.org/10.64804/hsepny74

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