This study introduces a computational model for the automated analysis of astronomical data from the Hubble Space Telescope, based on a fluid-dynamic formulation of the intergalactic medium. The model enables the download, calibration, and processing of raw .flt data, extracting physical parameters such as energy fluxes, temperatures, dynamic stress indices, and systemic equilibrium states. A correlation between the dynamics of the intergalactic medium and the activity of central black holes is proposed, aiming to define an indicator of systemic stability. The application of the model to samples of known galaxies (M87, M51, NGC 4258) demonstrates the consistency of the extracted metrics with existing literature. The pipeline is open-source and replicable on cloud platforms, making astronomical data analysis accessible to a broad scientific community.