arXiv subjects

E. Canessa

Publications and source records attributed to E. Canessa.

At least 19 recordsLinked to original sources

arXiv2026

Black Hole-Inspired Horizon Model for Neural Signal Dynamics

Electroencephalographic (EEG) signals provide macroscopic observables of complex neural dynamics. We introduce a horizon-inspired framework in which measured EEG signals are modeled as projections of a complex wave-like representation constrained by an effective boundary analogous to an event horizon. In this formulation the signal amplitude obeys a renormalization-group scaling relation while EEG spectral entropy parameterizes the accessibility of observable modes. The resulting solutions generate oscillatory structures whose geometry and spectral signatures can be explored through signal analysis and sonification. This mapping between entropy-based neural observables and wave-like signal representations provides a physically motivated framework linking entropy measures, scale-dependent dynamics, and observable neural oscillations, and suggests testable connections between spectral entropy and the amplitude scaling of EEG modes.

q-bio.NC↗

arXiv2023

Physics-based signal analysis of genome sequences: GenomeBits overview

A comprehensive overview of the recent physics-inspired genome analysis tool, GenomeBits, is presented. This is based on traditional signal processing methods such as Discrete Fourier Transform (DFT). GenomeBits can be used to extract underlying genomics features from the distribution of nucleotides, and can be further used to analyze the mutation patterns in viral genomes. Examples of the main GenomeBits findings outlining the intrinsic signal organization of genomics sequences for different SARS-CoV-2 variants along the pandemic years 2020-2022 and Monkeypox cases in 2021 are presented to show the usefulness of GenomeBits. GenomeBits results for DFT of SARS-CoV-2 genomes in different geographical regions are discussed together with the GenomeBits analysis of complete genome sequences for the first coronavirus variants reported: Alpha, Beta, Gamma, Epsilon and Eta. Interesting features of the Delta and Omicron variants in the form of a unique "order-disorder" transition are uncovered from these samples as well as from their cumulative distribution function and scatter plots. This class of transitions might reveal the cumulative outcome of mutations on the spike protein. A salient feature of GenomeBits is the mapping of the nucleotide bases (A,T,C,G) into an alternating spin-like numerical sequence via a series having binary (0,1) indicators for each A,T,C,G. This leads to derive a set of statistical distribution curves. Furthermore, the quantum-based extension of the GenomeBits model to an analogous probability measure is shown to identify properties of genome sequences as wavefunctions via a superposition of states. An association of the integral of the GenomeBits coding and a binding-like energy can in principle also be established. The relevance of these different results in Bioinformatics is analyzed.

physics.bio-ph↗

arXiv2023

altiro3D: Scene representation from single image and novel view synthesis

We introduce altiro3D, a free extended library developed to represent reality starting from a given original RGB image or flat video. It allows to generate a light-field (or Native) image or video and get a realistic 3D experience. To synthesize N-number of virtual images and add them sequentially into a Quilt collage, we apply MiDaS models for the monocular depth estimation, simple OpenCV and Telea inpainting techniques to map all pixels, and implement a 'Fast' algorithm to handle 3D projection camera and scene transformations along N-viewpoints. We use the degree of depth to move proportionally the pixels, assuming the original image to be at the center of all the viewpoints. altiro3D can also be used with DIBR algorithm to compute intermediate snapshots from a equivalent 'Real (slower)' camera with N-geometric viewpoints, which requires to calibrate a priori several intrinsic and extrinsic camera parameters. We adopt a pixel- and device-based Lookup Table to optimize computing time. The multiple viewpoints and video generated from a single image or frame can be displayed in a free-view LCD display.

cs.CV↗

arXiv2022

Wave-like behaviour in (0,1) binary sequences

This work presents a comprehensive study of the properties of finite (0,1) binary systems from the mathematical viewpoint of quantum theory where a complex wavefunction $\psi_{n}$ is considered as an analogous probability measure. This is a quantum-inspired extension of the GenomeBits model to characterise observed genome sequences, where $\psi_{n}$ is related to an alternating (0,1) binary series having independent distributed terms. The real and imaginary spectrum of $\psi_{n}$ {\emph vs.} the nucleotide base positions display characteristic features of sound waves.

physics.bio-ph↗

arXiv2021

Ideals and Virtual Realities

A main step for world progress is to keep sharing ever-present Ideals for science and education within today Virtual Realities. On-line education is transforming human society to new levels in the way people teach and learn during the ongoing SARS-CoV-2 pandemic. There is an increasing interest in having more and more reliable, fast and simple apps to communicate and also to record, assemble and distribute videos and lectures in the fields of Physics & Maths still using traditional didactic methods. We describe here how to accurately reproduce chalkboard classes for the popular YouTube video platform using OpenEyA-YT. The audience can thus be expanded over continents to help mitigate the effects of physical isolation.

physics.ed-ph↗

arXiv2014

IMAGINARY Math Exhibition using Low-cost 3D Printers

We have made an attempt to reproduce 17 objects of the IMAGINARY Open Mathematics Exhibition (www.imaginary.org) using low-cost, desktop 3D printers. The IMAGINARY open math is an international project by the Mathematisches Forschungsinstitut Oberwolfach in Germany and includes galleries of volumetric objects that are unique, have aesthetic appeal and mathematical meaning. We illustrate here the printing of these diverse learning materials using new 3D affordable printing technologies based on Fused Deposition Modelling (FDM) and the use of biodegradable plastic PLA. The final goal is to support museums, schools and higher education institutions in countries with lower scientific infrastructure.

cs.CY↗

arXiv2014

Spiralicity and Motion on Cosmic Scale

We hypothesize a simple scenario to associate spiral-shaped trajectories and asymptotic tangential velocities according to observations found on deep space scales. As a difference with alternative Modified Newton Dynamics (MoND), in our scenario the dynamics at cosmic distances depends on the velocity of the rotating galaxy instead of its acceleration. We assume dark matter to exert a quadratic fluid resistance force with an added non-linear drag force in the radial direction.

physics.space-ph↗

arXiv2014

Oscillating Entropy

The log-periodic equation for the entropy $S = - (k/a) \sum_{i=1}^{N} p_{i} \sin(a \ln p_{i})$, based on the forgotten Sharma-Taneja entropy measure, is studied for the first time with $N$ the total number of system states and $p_{i}$ the associated probabilities. It is argued that an oscillatory regime for $S$ could in principle be understood in terms of a linear time-dependent behavior for the associated probabilities in analogy with a spring system of frequency $w$ gaining momentum from the surroundings. The physical meaning for the production of entropy given by the parameter $a$ relates the angle $ωt$. We discuss its properties, and make a connection with the non-extensive Tsallis, Rényi, Boltzmann-Gibbs and Shannon entropies as special limiting cases for systems with constant mass. Our non-trivial form of entropy displays peculiar concavity and addition properties. Log-periodicity in $S$, concavity lost, and non-additivity are manifested by increasing the value of the coefficient $a$, which sets the variations with respect to the behavior of the monotonic Gibbs entropy function. We have considered systems with linearly increasing mass and have explained how "oscillating entropy" in such systems may appear.

physics.data-an↗

arXiv2013

Comment on Phys. Rev. Lett. 110, 168702 (2013): Causal Entropic Forces

The recent Letter by Wissner-Gross and Freer [1] proposes a relationship between intelligence and entropy maximization based on a causal generalization of entropic forces over configuration space paths, which may beautifully induce sophisticated behaviors associated with competitive adaptation on time scales faster than natural evolution. These authors suggest a potentially general thermodynamic model of adaptive behavior as a non-equilibrium process in open systems. On the basis of the force-entropy correlations published by us a decade ago [2], we point out that their main relations have been previously reported within a simpler statistical thermodynamic model where non-interacting moving particles are assumed to form an elastic body. [1] A.D. Wissner-Gross and C.E. Free, Phys. Rev. Lett. 110 (2013) 168702 [2] E. Canessa, Physica A 341 (2004) 165 -also at arXiv:cond-mat/0403724

cond-mat.dis-nn↗

arXiv2011

OPERA neutrinos and superluminal helical motion

We pinpoint how a subatomic particle with non-zero mass may attain, in principle, velocities faster-than-light by travelling in helical motion in the limit of very large momentum. This is an educated guess by virtue of the MINOS and OPERA experiments on eventual superluminal propagation of neutrinos.

physics.gen-ph↗

arXiv2008

Modeling of Body Mass Index by Newton's Second Law

Since laws of physics exist in nature, their possible relationship to terrestial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural laws may influence the vertical growth of humans. This approach makes sense because the non-linear percentile curves of different aspects of human physical growth from childhood to adolescence can be described in relation to physics laws independently of gender and nationality. Analytical relations for the dependence of stature, measured mass (weight), growth velocity (and their mix as the body mass index) on age are deduced with a set of common statistical parameters which could relate environmental, genetics and metabolism and different aspects of physical growth on earth. A relationship to the monotone smoothing using functional data analysis to estimate growth curves and its derivatives is established. A preliminary discussion is also presented on horizontal growth in an essentially weightless environment (i.e., aquatic) with a connection to the Laird-Gompertz formula for growth.

physics.bio-ph↗

arXiv2007

Possible Connection between Probability, Spacetime Geometry and Quantum Mechanics

Following our discussion [Physica A, 375 (2007) 123] to associate an analogous probabilistic description with spacetime geometry in the Schwarzschild metric from the macro- to the micro-domain, we argue that there is a possible connection among normalized probabilities, spacetime geometry (in the form of Schwarzschild radii) and quantum mechanics (in the form of complex wave functions). We show how this association along different (n)-nested surfaces --representing curve space due to an inhomogeneous density of matter-- preserves the postulates of quantum mechanics at different geometrical scales.

gr-qc↗

arXiv2006

Probability of stochastic processes and spacetime geometry

We made a first attempt to associate a probabilistic description of stochastic processes like birth-death processes with spacetime geometry in the Schwarzschild metrics on distance scales from the macro- to the micro-domains. We idealize an ergodic system in which system states communicate through a curved path composed of transition arrows where each arrow corresponds to a positive, analogous birth or death rate.

physics.data-an↗

arXiv2003

Monitoring the Digital Divide

It is increasingly important to support the large numbers of scientists working in remote areas and having low -bandwidth access to the Internet. This will continue to be the case for years to come since there is evidence from PingER performance measurements that the, so-called, digital divide is not decreasing. In this work, we review the collaborative work of The Abdus Salam International Center for Theoretical Physics (ICTP) in Trieste -a leading organization promoting science dissemination in the developing world- and SLAC in Stanford, to monitor by PingER, Universities and Research Institutions all over the developing world following the recent Recommendations of Trieste to help bridge the digital divide. As a result, PingER's deployment now covers the real-time monitoring of worldwide Internet performance and, in particular, West and Central Africa for the first time. We report on theresults from the ICTP sites and quantitatively identify regions with poor performance, identify trends, discuss experiences and future work.

physics.soc-ph↗

arXiv2001

A possible scenario for volumetric display through nanoparticle suspensions

We discuss on the potential of suspensions of gold nanoparticles with variable refractive index for the possible physical realization of in-relief virtual dynamic display of plane images. A reasoning approach for a vision system to display in real-time volumetric moving images is proposed based on well-known properties of optical media, namely the anomalous dispersion of light on certain transparent media and the virtual image formed by a refracting transparent surface. The system relies on creating mechanisms to modify the refractive index of in-relief virtual dynamical display (iVDD) bulbs that ideally would contain a suspension of gold nanoparticles each and that might be ordered in an array filling up a whole screen.

physics.optics↗

arXiv2001

Langevin dynamics of financial systems: a second-order analysis

We address the issue of stock market fluctuations within Langevin Dynamics (LD) and the thermodynamics definitions of multifractality in order to study its second-order characterization given by the analogous specific heat C_{q}, where q is an analogous temperature relating the moments of the generating partition function for the financial data signals. Due to non-linear and additive noise terms within the LD, we found that C_{q} can display a shoulder to the right of its main peak as also found in the S&P500 historical data which may resemble a classical phase transition at a critical point.

cond-mat↗

arXiv2000

Economics Mapping to the Renormalization Group Scaling of Stock Markets

We make an attempt to map a simple economically motivated model for the price evolution [J. Phys. A: Gen. Math 33, 3637 (2000)] to the phenomenological renormalization group scaling of stock markets. This mapping gives insight into the critical exponents and the renormalization group predictions for the log-periodic oscillations preceding some stock market crashes from the perspective of non-linear changes in `the level of stocks'.

cond-mat↗

arXiv1995

Layer Features of the Lattice Gas Model for Self-Organized Criticality

A layer-by-layer description of the asymmetric lattice gas model for 1/f-noise suggested by Jensen [Phys. Rev. Lett. 64, 3103 (1990)] is presented. The power spectra of the lattice layers in the direction perpendicular to the particle flux is studied in order to understand how the white noise at the input boundary evolves, on the average, into 1/f-noise for the system. The effects of high boundary drive and uniform driving force on the power spectrum of the total number of diffusing particles are considered. In the case of nearest-neighbor particle interactions, high statistics simulation results show that the power spectra of single lattice layers are characterized by different $β_x$ exponents such that $β_x \to 1.9$ as one approaches the outer boundary.

cond-mat↗