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Hubble-Decay-Matter-Dynamics-HDMD-Core
Modeling cosmic expansion through advanced simulation techniques
Pitch

The Hubble-Decay-Matter-Dynamics-HDMD-Core project delivers a high-precision computational simulation engine for understanding cosmic expansion. By leveraging the Friedmann-Lemaître-Robertson-Walker metric, it effectively models interactions between matter density and dark energy, tracking crucial evolution metrics like Hubble attenuation across the universe's timeline.

Description

Hubble-Decay-Matter-Dynamics (HDMD-Core) is a sophisticated Friedmann-Lemaître-Robertson-Walker (FLRW) simulation engine designed for high-precision modeling of cosmic expansion. This tool enables researchers and astrophysicists to track the attenuation of the Hubble parameter, denoted as $H(t)$, alongside the integration of the scale factor, represented as ($a$), while exploring the intricate dynamics between matter density ($\Omega_M$) and dark energy ($\Omega_\Lambda$) across cosmic time frames.

Overview

HDMD-Core serves as a powerful computational framework built on the FLRW metric, which is essential for analyzing the large-scale structure and evolution of the universe. This engine aims to provide deep insights into the behavior of cosmic expansion through precise simulation.

Technical Description

The simulation engine focuses on the fundamental aspects of cosmic dynamics by utilizing:

  • Physics Engine: An ODE-based integration of the Friedmann acceleration equations, ensuring accurate results.
  • Density Parameters: Configured to model standard cosmological values, specifically $\Omega_M = 0.308$ for matter density and $\Omega_\Lambda = 0.692$ for dark energy.
  • Integration Method: Employing scipy.integrate.odeint to solve the coupled differential equations that govern expansion.

Features

  • Output Metrics: Features real-time mapping capabilities that allow for the observation of the decay of the Hubble Constant and the progression of the Scale Factor, enhancing the understanding of cosmic dynamics over time.
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