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Showing posts with label Science. Show all posts
Showing posts with label Science. Show all posts

Thursday, January 8, 2026

Quantum Mechanical Theory of Ghosts with ChatGPT

Abstract: A fictional system is introduced as a pedagogical device to unify several elementary topics in quantum mechanics within a single worked example. Using standard textbook formulas, we examine de Broglie wavelength, tunneling, Doppler shift, Compton scattering, and momentum transfer in a consistent, order-of-magnitude framework. No claims are made regarding the physical existence of the system considered.

Introduction

This article presents a pedagogical exercise rather than a physical model of a real system. “Ghosts” are treated throughout as a fictional construct, introduced solely to unify several elementary topics in quantum mechanics—including the de Broglie wavelength, tunneling, Doppler shift, Compton scattering, and momentum transfer—within a single worked example. Standard textbook formulas are applied in an internally consistent manner to emphasize order-of-magnitude reasoning and conceptual coherence, without implying any physical reality for the system described.

Within this fictional framework, ghosts are assumed to penetrate closed doors and interior walls with thicknesses of order \(0.1~\mathrm{m}\), while remaining confined by substantially thicker exterior walls. For instructional purposes, this behavior is modeled using quantum-mechanical tunneling,[1] requiring an associated de Broglie wavelength of comparable scale. We further assume that a typical ghost, in the absence of illumination, can attain a velocity of approximately \(v = 3000~\mathrm{m\,s^{-1}}\).

Mass of a Typical Ghost

Using the de Broglie relation,[2]

$$\lambda = \frac{h}{mv}$$

the mass is

$$m = \frac{h}{\lambda v}$$

Substituting

$$h = 6.626\times10^{-34}~\mathrm{J\,s},\quad \lambda = 0.1~\mathrm{m},\quad v = 3000~\mathrm{m\,s^{-1}}$$

yields

$$m \approx 2.21\times10^{-36}~\mathrm{kg}$$

This mass is approximately \(10^9\) times smaller than the electron mass,[3] illustrating why macroscopic tunneling lengths arise in this constructed example.

Kinetic Energy

The kinetic energy is

$$K = \frac{1}{2}mv^2 \approx 9.95\times10^{-30}~\mathrm{J}$$

Tunneling Through Walls

For a rectangular potential barrier of thickness \(d\), the tunneling probability is approximated by[1]

$$T \approx e^{-2\kappa d}, \quad \kappa = \sqrt{\frac{2m(U-E)}{\hbar^2}}$$

Solving for the barrier height \(U\) gives

$$U = E + \frac{\hbar^2}{2md^2}\left[\ln\left(\frac{1}{T}\right)\right]^2$$

For pedagogical simplicity, we consider the high-transmission limit \(T \approx 1\), yielding \(U \approx E\).

Interaction with Light

Doppler Shift

For incident light of wavelength \(\lambda_0 = 600~\mathrm{nm}\), the relativistic Doppler shift gives

$$\lambda' \approx 599.994~\mathrm{nm}$$

Compton Scattering

For backscattering (\(\theta = \pi\)), the Compton shift is

$$\Delta\lambda = \frac{2h}{mc} \approx 2000~\mathrm{nm}$$

placing the scattered radiation in the infrared.

Momentum Transfer

The momentum change associated with photon scattering is

$$\Delta p \approx 1.36\times10^{-27}~\mathrm{kg\,m\,s^{-1}}$$

which, when applied relativistically, leads to a final velocity approaching \(0.9c\).[5]

Discussion

The exaggerated numerical results obtained here are a direct consequence of the intentionally extreme parameter choices used to illustrate quantum-mechanical principles. The example is intended to provoke discussion, reinforce scaling arguments, and encourage careful examination of assumptions when applying familiar formulas beyond their usual domains.

Acknowledgments

The problems presented here are adapted from a homework assignment by the late Professor Karl T. Hect of the University of Michigan in Ann Arbor. The solutions are provided by the author. ChatGPT produced the same results.  ChatGPT created the HTML version of this work.

The author has no conflicts to disclose.

References

  1. J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 2nd ed. (Addison-Wesley, San Francisco, 2011).
  2. D. J. Griffiths and D. F. Schroeter, Introduction to Quantum Mechanics, 3rd ed. (Cambridge University Press, Cambridge, 2018).
  3. R. Resnick, D. Halliday, and K. S. Krane, Physics, 4th ed. (Wiley, New York, 1992).
  4. A. H. Compton, “A quantum theory of the scattering of X-rays by light elements,” Phys. Rev. 21, 483–502 (1923).
  5. M. S. Longair, High Energy Astrophysics, 3rd ed. (Cambridge University Press, Cambridge, 2011).

Wednesday, December 31, 2025

Sumerian Units & Cosmology with ChatGPT

Ancient Sumerian chronological units exhibit extreme numerical scaling that, when interpreted through relativistic kinematics, imply velocities arbitrarily close to the speed of light. By mapping these values onto Doppler redshift and standard Friedmann-Lemaître-Robertson-Walker cosmology, we see that the resulting distances rapidly saturate near the particle horizon. While speculative, the analysis illustrates fundamental limits imposed by relativistic expansion and provides a numerical framework linking ancient large-number systems to modern cosmology.

Two papers were produced through the collaboration with ChatGPT. 

  1. Tex/Sumerian-Units-and-Cosmology.pdf, which summarized the initial inquiry and its conclusions.  The content of this paper was mostly produced by the author.  I would rate that 10% of this content was due to ChatGPT as to be expected since this paper was the result of the author's questions and speculation.  Phrasly.AI gave it a score of 15% AI and 85 % Human generated content.
  2. Tex/Sumerian-units-epistomology.pdf was a paper that was suggested to the author by ChatGPT, with a slant towards the Philosophy of Science, based on the contents of the first paper.  The re-casting of the initial content into one concerning the Philosophy of Science was due to ChatGPT.  The case-study approach to the content, and the provision of the appropriate references and mathematical formulas were due to ChatGPT.  I would say that the content of this second paper owes 50% to ChatGPT contributions.  However, Phrasly.AI gave it a score of 19% AI and 81 % Human generated content.

“The important thing is not to stop questioning. Curiosity has its own reason for existing.”
— Albert Einstein

Code and Documentation

The full computational materials for this project—including Jupyter notebooks, LaTeX source files, and supporting documentation—are publicly available in the following GitHub repository: Crimson-Reason/Sumerian-Units.

For transparency and reproducibility, a consolidated report of the author’s interactions with ChatGPT during the development of this work is available at Documentation/ChatGPT Collaboration Report.docx

Sumerian Kings & Relativity with GitHub Copilot: A Speculative Physics Thought Experiment

 Ancient Sumerian texts claim that some kings ruled for hundreds or even thousands of years—clearly impossible by normal human standards. This project explores a deliberately speculative idea: what if those reign lengths reflected relativistic time dilation rather than literal lifespans?

Focusing on the city of Kish, the analysis treats the city as a hypothetical spacecraft traveling at near-relativistic speeds. Using standard physics formulas, Monte Carlo simulations, and galactic models, the study estimates the velocity such a craft would require, how far it could have traveled, and how many Sun-like stars would lie within that range.

To do this quickly and interactively, GitHub Copilot was used to generate and evolve Python code for simulations, star-count models, and Drake-equation calculations. The results show that even extremely rare technological civilizations could, in principle, exist in large numbers when millions of stars are considered—highlighting the famous Fermi paradox.

The project is not a historical claim or a serious extraterrestrial hypothesis. Rather, it is an educational demonstration of how physics, astronomy, probability, and AI-assisted coding can be combined to explore bold “what if?” questions and deepen intuition about scale, uncertainty, and scientific modeling.

“The important thing is not to stop questioning. Curiosity has its own reason for existing.”
Albert Einstein

Code, Data, and Extended Documentation

The full computational materials for this project—including data files, Jupyter notebooks, generated results, LaTeX source files, and supporting documentation—are publicly available in the following GitHub repository: Crimson-Reason/Sumerian-Kings

An expanded version of this weblog post, containing additional technical detail and background discussion, is available as a separate document: Documentation/Fun with Sumerian Kings List with GitHub Copilot.docx Phrasly.AI gave it a score of 15% AI and 85 % Human generated content.

For transparency and reproducibility, a consolidated record of the author’s interactions with GitHub Copilot during the development of this work is also provided: Documentation/Combined_Session_Summary_Analysis_20251230.docx


Sunday, February 9, 2025

Thursday, September 5, 2024

News of Cyborgs

In a case of Life imitating Art, we learn of a cyborg whose biological component is a fungus:

https://www.cnn.com/2024/09/04/science/fungus-robot-mushroom-biohybrid/index.html

Thursday, May 30, 2024

Thursday, May 2, 2024

Swarm Inteligence & Biology

Collective intelligence: A unifying concept for integrating biology across scales...

Sunday, March 10, 2024

Research on Brain Responses of Programmers

From Nature:

We read, "Computer programmers show distinct, expertise-dependent brain responses to violations in form and meaning when reading code..."

Full artiche here: https://www.nature.com/articles/s41598-024-56090-6


Friday, February 16, 2024

ChatGPT & Fake Science

How ChatGPT and other AI tools could disrupt scientific publishing.  

It had to happen...check out the figures.

https://www.frontiersin.org/articles/10.3389/fcell.2023.1339390/full

There is no Scientific Truth, Scientific Insight, or Scientific Judgement in this paper; only a disjointed compilation of prior papers.

More on this topic here:

https://ahrecs.com/latestnews/how-chatgpt-and-other-ai-tools-could-disrupt-scientific-publishing-nature-gemma-conroy-october-2023/

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I had been a senior software developer working for HP and GM. I am interested in intelligent and scientific computing. I am passionate about computers as enablers for human imagination. The contents of this site are not in any way, shape, or form endorsed, approved, or otherwise authorized by HP, its subsidiaries, or its officers and shareholders.

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