Table of Contents
Fetching ...

Fractal dimension of the cosmic web with different galaxy types

Ana Elisa Lima, Julianne C. Soares, Ana Carolina S. Tavares, Mariana V. Taveira, Sharon Teles, Amanda R. Lopes, Marcelo B. Ribeiro

TL;DR

The study addresses how galaxy color populations trace the cosmic web by using a single fractal dimension, $D$, derived from the Pietronero-Wertz relation applied to a COSMOS2020 subsample. It analyzes cumulative counts with relativistic distance measures $d_L$ and $d_G$, obtaining $D$ for blue, green, and red galaxies in two redshift bins ($z<1$ and $1<z\le4$). The main findings reveal two distinct fractal-dimension gradients: for $z<1$, $D_{ ext{blue}} > D_{ ext{red}} > D_{ ext{green}}$, and for $1<z\le4$, $D_{ ext{blue}} > D_{ ext{green}} > D_{ ext{red}}$, with overall $D$ values decreasing at higher redshift due to sparser samples. This demonstrates that fractal dimension is a sensitive, color-dependent observational diagnostic for mapping large-scale structure, while acknowledging limitations and suggesting future multifractal extensions to capture more nuanced clustering.

Abstract

The fractal dimension $D$ is used to map the large-scale galaxy distribution in the Universe by color types: blue, green and red. Using a $NUVrK$-complete COSMOS2020 subsample of 618,952 galaxies observed up to $z=4$, number densities were derived and plotted against two cosmological distance measures, the luminosity and comoving (galaxy area) distances, in order to estimate $D$ for each galaxy color type in two redshift intervals: $z\gtrless1$. We found a general gradient $D_{\mathrm{blue}}> D_{\mathrm{red}}>D_{\mathrm{green}}$ with $D=1.40-2.03$ for $z<1$. For $1<z\leq4$, the gradient changes to $D_{\mathrm{blue}}>D_{\mathrm{green}}D_{\mathrm{red}}$, and the fractal dimension values are lower, $D=0.03-0.44$. These results suggest that the fractal dimension is a sensitive diagnostic for how galaxy populations trace the evolving cosmic web, and confirm the fractal dimension as a useful tool for observational mapping of large-scale structure by galaxy color.

Fractal dimension of the cosmic web with different galaxy types

TL;DR

The study addresses how galaxy color populations trace the cosmic web by using a single fractal dimension, , derived from the Pietronero-Wertz relation applied to a COSMOS2020 subsample. It analyzes cumulative counts with relativistic distance measures and , obtaining for blue, green, and red galaxies in two redshift bins ( and ). The main findings reveal two distinct fractal-dimension gradients: for , , and for , , with overall values decreasing at higher redshift due to sparser samples. This demonstrates that fractal dimension is a sensitive, color-dependent observational diagnostic for mapping large-scale structure, while acknowledging limitations and suggesting future multifractal extensions to capture more nuanced clustering.

Abstract

The fractal dimension is used to map the large-scale galaxy distribution in the Universe by color types: blue, green and red. Using a -complete COSMOS2020 subsample of 618,952 galaxies observed up to , number densities were derived and plotted against two cosmological distance measures, the luminosity and comoving (galaxy area) distances, in order to estimate for each galaxy color type in two redshift intervals: . We found a general gradient with for . For , the gradient changes to , and the fractal dimension values are lower, . These results suggest that the fractal dimension is a sensitive diagnostic for how galaxy populations trace the evolving cosmic web, and confirm the fractal dimension as a useful tool for observational mapping of large-scale structure by galaxy color.
Paper Structure (8 sections, 10 equations, 4 figures, 1 table)

This paper contains 8 sections, 10 equations, 4 figures, 1 table.

Figures (4)

  • Figure 1: Absolute magnitude in the $i$-band as a function of redshift for the initial sample of COSMOS2020. Black circles indicate galaxies that lie above the red solid line, which represents the limiting threshold $M_\mathrm{lim}$ defined by Eq. \ref{['eq6:eq6']}, while grey circles mark those that fall below it and were discarded in this study.
  • Figure 2: $NUV-r$ vs. $r-K$ color-color diagrams for 6 equally lengthened redshift intervals. Solid lines correspond to the criterion defined by Ref. REF26, which separates galaxies into three classes: red (above the superior solid line), blue (below the inferior solid line), and green (in between the solid lines). The colorbar represents the sSFR.
  • Figure 3: Histogram of the redshift distribution of blue (top left), green valley (top right) and red galaxy types (bottom). After discarding galaxies having $z>4$ we ended up with a final subsample containing 618,952 objects, constituted by 532,190 blue galaxies, 50,383 red ones, and 36,379 objects being classified as galaxies belonging to the green-valley.
  • Figure 4: Galaxy number densities $\gamma_{{ { \rm obs}}}^\ast$ obtained as counts per cumulative volume with steps of 200 Mpc in terms of the luminosity distance $d_{ L}$ and galaxy area distance $d_{ G}$ribeiro2005 for three color type populations: blue, red and green. The shaded gray region represents the 1$\sigma$ uncertainty range derived from the upper and lower bounds of the photometric redshifts (lpzPDFu68, lpzPDFl68). The vertical dashed line marks the fractal dimension transition at $z = 1$.