76 lines
2.1 KiB
Typst
76 lines
2.1 KiB
Typst
#import "globals.typ": *
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= Results
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== Map outputs
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#let notebook = json("../workdir/11_visualization/simulation_maps.ipynb")
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#grid(
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columns: (auto, 10em)
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)[
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#image_cell(notebook, cell_id: "presentation_x_alpha_map")
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][
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- stronger coupling in dense regions
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// the ones where the accretion rate is likely higher
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- nearly no effect in voids
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// in particular: no values where the coupling has become weaker
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// will become apparent in the signal as well
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]
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#pagebreak()
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#grid(
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columns: (auto, 10em)
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)[
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#image_cell(notebook, cell_id: "presentation_temperature_map")
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][
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- delayed heating $<=>$ colder halos
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- highest accreting halos catch up
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// those are the ones where the diff vanishes: e.g. top right
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]
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#pagebreak()
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#grid(
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columns: (auto, 10em)
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)[
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#image_cell(notebook, cell_id: "presentation_xHII_map")
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][
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- high contrast due to sharp cutoffs
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- clearly increased dynamic range
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// more variation due to the different accretion rates
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// globally the morphology is more diversified now: previously all the bubbles had similar sizes due to their similar size -> this degeneracy is removed here.
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]
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#pagebreak()
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// Globally:
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// more dynamic range while the mean systematically shifts towards the (biased) lower accretion rates
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// Intermezzo - compare with lower alpha range - mostly similar but occasional contributions from higher alpha values
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// => recommend keeping a wide range since it does not affect performance (if the bins are empty anyway)
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// 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
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// => the implementation to test that is there
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#grid(
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columns: (auto, 10em)
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)[
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#image_cell(notebook, cell_id: "presentation_dtb_map")
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][
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- richer structures due to combined effects
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- clear distinction between "foreground" and "background" effects
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// the halos themselves produce a stronger singal while the background is usually
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]
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== Signals
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#let notebook = json("../workdir/11_visualization/simulation_signals.ipynb")
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#image_cell(notebook, cell_id: "presentation_signal")
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#image_cell(notebook, cell_id: "power_spectra_comparison")
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