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+-------------------------------------------------------+ | o c t a w a v e | | >> Multidimensional Wave & Scalar Field Computing | +-------------------------------------------------------+ | Core Developer: Katharina Maria Brecht (2026) | +-------------------------------------------------------+
This project simulates dynamic, time-dependent quantum wave fields based on an octahedral structure.
This system was born from a vivid night-time dream about geometric structures, waves, and collapsing spaces. It is the transition of sub-conscious creative energy into real, working mathematical R code.
Copyright (C) 2026 Katharina M. Brecht.
ORCID iD: https://orcid.org/0009-0001-2176-7476
Protected under the GNU General Public License v3 (GPL-3.0).
Anyone using or modifying this code MUST credit Katharina M. Brecht
(ORCID: 0009-0001-2176-7476) as the original author.
The 'octawave' package transcends traditional, static
modeling constraints by introducing an applicable framework for
three-dimensional (3D) quantum geometry visualization within the R
statistical environment.
'plotly'.wave2lyze):
Processes multidimensional spatial coordinates to extract Euclidean
amplitudes and applies Fast Fourier Transforms (FFT) to decode hidden
quantum interference patterns.prep_sync3d): Bridges the analytical results of
octawave with the ‘sync3d’ engine. It auto-generates localized node-edge
structures for high-performance, frame-accurate 3D rendering, completely
bypassing standard browser lag.The latest update introduces wave2lyze and
prep_sync3d, forming a direct topological bridge to the
sync3d package. By transforming spectral analysis data
into optimized node-edge matrices, it unlocks high-performance,
hardware-accelerated 3D WebGL rendering through the
add_synchronized_3d_edges() pipeline without browser
lag.
library(octawave)
library(plotly)
library(sync3d)
# 1. Simulate complex harmonic wave data
time_vec <- seq(0, 4 * pi, length.out = 100)
raw_quantum_data <- data.frame(X = sin(time_vec), Y = cos(time_vec))
# 2. Analyze phase space and generate the topological bridge
analysis <- wave2lyze(raw_quantum_data)
sync_data <- prep_sync3d(analysis)
# 3. Render synchronized structure via the sync3d engine
base_plot <- plot_ly(data = sync_data$nodes, x = ~x, y = ~y, z = ~z,
type = 'scatter3d', mode = 'markers',
marker = list(size = 4, color = '#008080'))
final_plot <- add_synchronized_3d_edges(base_plot, sync_data$edges)
final_plotYou can install the official released version of octawave directly from CRAN with:
install.packages("octawave")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.