@InProceedings{SautterRosa:2023:In3DGr,
               author = "Sautter, Rubens Andreas and Rosa, Reinaldo Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Characterizing Complex Patterns in Cosmological Simulations: 
                         Insights from 3D Gradient Pattern Analysis",
            booktitle = "Proceedings...",
                 year = "2023",
         organization = "Conference on Complex Systems",
             abstract = "It is known that density fluctuations during the formation of 
                         large-scale structures in cosmology carry the signature of 
                         cosmological gravitational instability (CGI), which acts more 
                         strongly in specific redshift (z) ranges. In this article, we 
                         present unprecedented results on the structural complexity of CGI 
                         based on the application of the reformulated 3D-Gradient Pattern 
                         Analysis (3DGPA) technique on Milli-Milennium Simulation data. The 
                         GPA, which characterizes the structural complexity based on the 
                         symmetry breaking in each snapshots gradient lattice, identifies 
                         regimes with the highest CGI in the ranges from 0 \≤ z 
                         \≤ 2 (for all metrics: G1, G2, and G3) and from 8 \≤ 
                         z \≤ 4 for asymmetry measures based on G1 and G2.",
  conference-location = "Salvador, BA",
      conference-year = "16-20 Oct. 2023",
             language = "en",
           targetfile = "sautter_characterizin.pdf",
        urlaccessdate = "15 jun. 2024"
}