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Raul Jimenez

This paper delves into the complexities of non-linear phases in large-scale structure (LSS) modeling, emphasizing the effectiveness of the Halo Model in understanding galaxy clustering by modifying density profiles. Our findings discuss the implications of stellar mass in galaxy formation and evolution, supported by hydro-simulations. We highlight the inadequacy of smoothing techniques for cosmological datasets, advocating for a detailed modeling of dark matter halos and galaxies. The study underscores the potential to leverage non-linear turbulent flows to enhance cosmological parameter extraction.

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Raul Jimenez

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  1. Raul Jimenez The most non-linear phase of LSS http://icc.ub.edu/~jimenez

  2. Extremely successful model State of the art of data then… ~14 Gyr (a posteriori information) (DMR)COBE CMB 380000 yr (a posteriori information)

  3. Avalanche of data And it still holds!

  4. Credit: Ben Wandelt (IAP)

  5. Credit: Ben Wandelt (IAP)

  6. The Halo Model Linear PS 2h 1h

  7. The Halo Model And provides a formalism to also model the clustering of galaxies: just modify the density profile of the one halo term

  8. Red galaxies are in clusters and Blue galaxies in filaments Gil-Marin et al. 2011 MNRAS

  9. Yet, (present) stellar mass determines where and how the galaxy formed and evolved

  10. SF as a function of environment (Mark Correlations) Sheth, RJ, Panter, Heavens, ApJL, astro-ph/0604581

  11. Credit: Ben Wandelt (IAP)

  12. What we have learned from the most non-linear scales:

  13. Our findings from hydro-simulations are that a similar picture may apply to galaxies Prieto, RJ, Marti, 2011 MNRAS

  14. Prieto, Haiman, RJ 2012/2013 MNRAS

  15. Conclusions and Future Outlook • Smoothing is a very poor way to treat the rich cosmological datasets, i.e. the whole sky • We need to model the DM halos and galaxies • Halo model of such is not god enough to obtain % cosmological parameters • Fully non-linear turbulent flows maybe the clue to exploit scaling laws in non-linearity • We should take advantage of non-linearity

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