#import "globals.typ": *

= Results
== Map outputs
#let notebook = json("../workdir/11_visualization/simulation_maps.ipynb")

#grid(
  columns: (auto, 10em)
)[
  #image_cell(notebook, cell_id: "presentation_x_alpha_map")
][
  - strong variations close to sources
  // the ones where the accretion rate is likely higher

  - nearly no effect in voids
  // in particular: no values where the coupling has become weaker
  // will become apparent in the signal as well
]

#pagebreak()

#grid(
  columns: (auto, 10em)
)[
  #image_cell(notebook, cell_id: "presentation_temperature_map")
][
  - delayed heating $<=>$ colder halos

  - highest accreting halos catch up
  // those are the ones where the diff vanishes: e.g. top right
]

#pagebreak()

#grid(
  columns: (auto, 10em)
)[
  #image_cell(notebook, cell_id: "presentation_xHII_map")
][
  - high contrast due to sharp cutoffs

  - clearly increased dynamic range
  // more variation due to the different accretion rates
  // globally the morphology is more diversified now: previously all the bubbles had similar sizes due to their similar size -> this degeneracy is removed here.
]

#pagebreak()
// Globally:
// more dynamic range while the mean systematically shifts towards the (biased) lower accretion rates

// Intermezzo - compare with lower alpha range - mostly similar but occasional contributions from higher alpha values
// => recommend keeping a wide range since it does not affect performance (if the bins are empty anyway)
// the more intersting discussion to be had is the effect of a more fine binning - thesan data already gives an indication which values will be most frequent
// => the implementation to test that is there

#grid(
  columns: (auto, 10em)
)[
  #image_cell(notebook, cell_id: "presentation_dtb_map")
][
  - richer structures due to combined effects

  - clear distinction between "foreground" and "background" effects
  // the halos themselves produce a stronger singal while the background is usually
]






== Signals
#let notebook = json("../workdir/11_visualization/simulation_signals.ipynb")
#image_cell(notebook, cell_id: "presentation_signal")
#image_cell(notebook, cell_id: "power_spectra_comparison")
