Physicists often engage in complex discussions about the nature of reality and how it is modeled through observables. However, there is a perception that physicists' approaches to understanding the universe are diverse and sometimes inconsistent, leading to confusion about whether they truly model nature effectively.

1. The Way Physicists Think Is All Over the Place

Physicists' methods for understanding the universe can vary significantly. Some focus on **physics-guided machine learning**, which combines neural networks with physical models to improve the accuracy of predictions, such as in radar signal modeling[1]. Others explore **beyond the Standard Model** physics, seeking explanations for unexplained phenomena, though these efforts often add complexity without resolving fundamental questions[2]. This diversity in approaches reflects the complexity of the subject matter and the ongoing quest for a unified understanding.

2. Modeling Nature Through Observables

Physicists use **models** to represent aspects of the natural world that are difficult to observe directly[4]. These models help in making predictions and understanding complex systems like ecosystems or atomic structures. However, the perception that physicists do not accept their methods as truly modeling nature might stem from the limitations and uncertainties inherent in these models. For instance, even successful models like the Standard Model have limitations outside their regime of validity[2].

Conclusion

The field of physics is characterized by a wide range of methodologies and perspectives, reflecting both its complexity and the ongoing evolution of scientific understanding. While physicists use models to interpret observables, the diversity in their approaches and the inherent limitations of these models can lead to perceptions of inconsistency. Nonetheless, these efforts continue to advance our understanding of the universe.

Παραπομπές:

[1] [PDF] Physics-Guided Machine Learning-Based Forward-Modeling of ... https://research.tudelft.nl/files/239425746/Physics-Guided_Machine_Learning-Based_Forward-Modeling_of_Radar_Observables_A_Case_Study_on_Sentinel-1_Observations_of_Corn-Fields.pdf

[2] The “Unnatural” Standard Model - Columbia Math Department https://www.math.columbia.edu/~woit/wordpress/?p=5946&cpage=1

[3] Quantum Physical Observables with Conjectural Modeling http://www.orientaljphysicalsciences.org/vol7no2/quantum-physical-observables-with-conjectural-modeling--paradigm-shifting-formalisms-ii--a-review/

[4] Practices of Science: Using Models - University of Hawaii https://manoa.hawaii.edu/exploringourfluidearth/physical/density-effects/density-driven-currents/practices-science-using-models

[5] All observables in nature can be measured with a single constant ... https://agencia.fapesp.br/all-observables-in-nature-can-be-measured-with-a-single-constant-the-second/53598

[6] [PDF] Theory construction and model-building skills : a practical - Index of / https://e.itg.be/MTM/qmm/2.pdf

[7] [2305.04367] Natural observables and dynamical approximations in ... https://arxiv.org/abs/2305.04367

[8] What is the general consensus of physicists on Sabine Hossenfelder ... https://www.reddit.com/r/AskPhysics/comments/1isje08/what_is_the_general_consensus_of_physicists_on/