ABSTRACT: The possibility of determining the Hubble constant is considered based on the hypothesis of the physical essence of time as our perception of the displacement of the three-dimensional space ...

Abstract: Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence’s autocorrelation ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. While it is very common to model diffusion as a random walk by assuming memorylessness ...

ABSTRACT: To decipher both shallow and deeper structural features that may control the emplacement of Kimberlite/Lamproite bodies in basement-exposed and covered areas, a detailed gravity survey was ...

Autocorrelation, a statistical measure that evaluates the relationship between a variable’s past and present values, can provide insights into patterns and guide investment decisions. By analyzing how ...

Physicists have investigated to which extent a piece of music can evoke expectations about its progression. They were able to determine differences in how far compositions of different composers can ...

Abstract: An attractive MATLAB-based tool for teaching the basics of autocorrelation function and noise concepts is presented in this paper. This tool enhances traditional in-classroom lecturing. The ...

This program calculates the vibrational density of states from molecular dynamics trajectories. The method using the velocity autocorrelation function directly is based on the implementation by Andrei ...