nearly fully fleshed out now
This commit is contained in:
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assets/image copy.png
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57
backup.typ
57
backup.typ
@@ -1,9 +1,50 @@
|
||||
#import "globals.typ": *
|
||||
|
||||
|
||||
== Full profiles <backup_full_profiles>
|
||||
$
|
||||
rho_alpha (r bar M, z) = (1 + z)^2 / (4 pi r^2) dot sum_(n=2)^(n_m)f_n dot epsilon_alpha (nu prime) dot f_star dot dot(M)(z prime bar M, z)
|
||||
$
|
||||
with the lookback redshift $z prime$ so $nu prime = nu dot (1+z prime) slash (1+z)$
|
||||
|
||||
$=>$ coupling coefficient
|
||||
$
|
||||
x_alpha (r bar M, z) = (1.81 dot 10^11) / (1 + z) dot S_alpha (z) dot rho_alpha (r bar M, z)
|
||||
$
|
||||
with a suppression factor $S_alpha (z)$
|
||||
|
||||
|
||||
#pagebreak()
|
||||
$
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||||
rho_"xray" (r bar M, z) = 1 / r^2 sum_i f_i f_(X,h) dot integral_(nu^i_"th")^oo d nu (nu - nu^i_"th") h_P sigma_i (nu) e^(-tau_nu) f_star dot(M) (z prime bar M, z)
|
||||
$
|
||||
$
|
||||
==> 3/2 dot derivative(rho_h (r bar M, z), z) = (3 rho_h (r bar M, z)) / (1 + z) - (rho_"xray" (r bar M, z)) /(k_B (1 + z) H(z))
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||||
$
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||||
with the Boltzmann constant $k_B$ and $H(z)$ is the Hubble parameter
|
||||
// where i={H, He} and νi thhP ={13.6, 26.5} eV.
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||||
// Contribution from both He and H since
|
||||
// No defined sum but integral due to all radiations being xray
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||||
|
||||
// Lookback comes from the definition of comoving r:
|
||||
// $r = integral_(z)^(z prime) c dz dot (1+z) / H(z)$
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|
||||
#pagebreak()
|
||||
|
||||
The comoving ionized volume around a source of ionizing photons satisfies the differential equation
|
||||
$
|
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derivative(V, t) = dot(N)_"ion"(t) / overline(n)_H^0 - alpha_B dot C / a^3 dot overline(n)_H^0 dot V
|
||||
$
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||||
bubble radius $R_b = root(3, 3/ (4pi) V(M,z))$ and using the Heaviside step function $theta_H$:
|
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$
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x_("HII")(r bar M, z) = theta_"H" lr([R_b (M, z) - r], size: #150%)
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$
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== Validation <backup_validation>
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#[
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#set image(height: 45%, fit: "contain")
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#line(length: 100%, stroke: 0pt)
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#align(center)[
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#set image(height: 43%, fit: "contain")
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#let notebook = json("../workdir/11_visualization/validation_simple_run.ipynb")
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#image_cell(notebook, cell_id: "validation_signal_comparison_old_v_new")
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|
||||
@@ -13,11 +54,11 @@
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||||
|
||||
|
||||
|
||||
== Backup slides
|
||||
This is a backup slide
|
||||
#lorem(50)
|
||||
|
||||
== Another backup slide
|
||||
#lorem(50)
|
||||
== Thesan resolution issues
|
||||
#let notebook = json("../workdir/11_visualization/halo_mass_function_thesan_1_2.ipynb")
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||||
|
||||
#line(length: 100%, stroke: 0pt)
|
||||
#align(center)[
|
||||
#image_cell(notebook, cell_id: "halo_mass_functions")
|
||||
]
|
||||
|
||||
|
12
beorn.typ
12
beorn.typ
@@ -38,9 +38,9 @@
|
||||
#pinit-point-to(
|
||||
(1, 2),
|
||||
pin-dx: 20pt,
|
||||
pin-dy: -20pt,
|
||||
pin-dy: -30pt,
|
||||
body-dx: -70pt,
|
||||
body-dy: -80pt,
|
||||
body-dy: -95pt,
|
||||
offset-dx: 20pt,
|
||||
offset-dy: 30pt,
|
||||
)[spherical symmetry]
|
||||
@@ -50,12 +50,12 @@
|
||||
#pinit-point-to(
|
||||
(3, 4),
|
||||
pin-dx: 20pt,
|
||||
pin-dy: -20pt,
|
||||
body-dx: -90pt,
|
||||
body-dy: -80pt,
|
||||
pin-dy: -30pt,
|
||||
body-dx: -70pt,
|
||||
body-dy: -95pt,
|
||||
offset-dx: 20pt,
|
||||
offset-dy: 30pt,
|
||||
)[convolution (fft)]
|
||||
)[convolution (`FFT`)]
|
||||
|
||||
|
||||
#pagebreak()
|
||||
|
@@ -2,14 +2,37 @@
|
||||
|
||||
= Conclusion
|
||||
== Summary
|
||||
- We presented Beorn, a new code to simulate the 21cm signal from the EoR and Cosmic Dawn.
|
||||
- Beorn is based on the halo model and uses a novel approach to compute the 21cm signal from 1D profiles around individual sources.
|
||||
- Beorn is fast, flexible, and easy to use.
|
||||
- We validated Beorn against numerical simulations and showed that it can reproduce their results with good accuracy.
|
||||
- Beorn is publicly available and can be used for a variety of applications, including forecasting, parameter estimation, and data analysis.
|
||||
- #beorn a semi-numerical tool to simulate the 21-cm signal
|
||||
|
||||
- uses the _halo model of reionization_
|
||||
- describes sources in terms of their host DM halo
|
||||
- $=>$ central dependence on halo growth
|
||||
// since it affects the SFR and thus the emissivity
|
||||
|
||||
- more accurate treatment of *individual* mass accretion
|
||||
// change in profiles trivially
|
||||
- leads to significant changes to reionization history
|
||||
// which could in theory be absorbed by shifting other paremeters
|
||||
- map-level fluctuations
|
||||
// which we can hope to observe (although many are subtle)
|
||||
|
||||
// unique position of 21-cm cosmology -> cannot discuss observational constraints
|
||||
|
||||
- #beorn python package: #link("https://github.com/cosmic-reionization/beorn")
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||||
// invite you to check out
|
||||
- simulation-agnostic
|
||||
- easier to use
|
||||
- fully parallelized
|
||||
|
||||
|
||||
== Outlook
|
||||
- further validation
|
||||
// finally ready for direct comparison with c2ray? now that parameters and loading have been properly implemented
|
||||
|
||||
== Upcoming improvements
|
||||
- investigation + parameterization of stochasticity
|
||||
- application to larger volumes
|
||||
- fully parallel runs
|
||||
// Assuming other relations related to production of photons is (hopefully by now well motivated) complex
|
||||
// these cannot directly be inferred => expressed as a distribution as a function of another halo property
|
||||
|
||||
- application to larger volumes
|
||||
// the scale-up -> large volumes with usable merger trees
|
||||
// comitting to reserving some 100s of node hours (which I would still quantify as fast)
|
||||
|
@@ -3,7 +3,7 @@
|
||||
|
||||
|
||||
== The halo model of reionization
|
||||
Following @Schneider_2021 @schneider2023cosmologicalforecast21cmpower:
|
||||
Following @Schneider_2021 @schneider2023cosmologicalforecast21cmpower, the halo model describes (#link(<backup_full_profiles>, "derivation")):
|
||||
#line(length: 100%, stroke: color.white.transparentize(100%))
|
||||
#pause
|
||||
|
||||
@@ -16,7 +16,11 @@ $
|
||||
$
|
||||
3/2 dot derivative(rho_h (r bar M, z), z) = (3 rho_h (r bar M, z)) / (1 + z) - (rho_"xray" (r bar M, z)) /(k_B (1 + z) H(z))
|
||||
$
|
||||
|
||||
// From the xray emission
|
||||
// primordial + heating term
|
||||
// expansion + deposition by xrays
|
||||
// => xrays are assumed to be the only source of heating
|
||||
//
|
||||
#pause
|
||||
$
|
||||
derivative(V_b, t) = dot(N)_"ion"(t) / overline(n)_H^0 - alpha_B dot C / a^3 dot overline(n)_H^0 dot V_b
|
||||
@@ -26,8 +30,15 @@ $
|
||||
// $
|
||||
|
||||
#pagebreak()
|
||||
Visually:
|
||||
|
||||
#image("assets/profiles.png")
|
||||
// COMMENTS:
|
||||
// - contribution from the lyman lines
|
||||
// - 1/r^2 decrease from spreading photons
|
||||
// - more steep outwards + sharp drop due to redshifting out of line
|
||||
|
||||
#pagebreak()
|
||||
|
||||
|
||||
== Revisiting the 21cm signal
|
||||
|
@@ -3,12 +3,37 @@
|
||||
#let notebook = json("../workdir/11_visualization/simple_run_example.ipynb")
|
||||
|
||||
|
||||
= Implementation
|
||||
= Adaptations
|
||||
|
||||
|
||||
== Central changes
|
||||
|
||||
- profile generation taking into account halo growth rate
|
||||
|
||||
- reading merger trees + inferring growth rates
|
||||
|
||||
- parallel painting across multiple halo bins
|
||||
// important since the bins are more now
|
||||
|
||||
- performance and ease of use
|
||||
// largely through vectorization -> still "native" python
|
||||
// usage of HDF5
|
||||
// solid caching mechanisms -> resume simulations, etc...
|
||||
|
||||
// #v(5em)
|
||||
// #text(
|
||||
// size: .7em,
|
||||
// )[
|
||||
// (#link(<backup_validation>, "Validated"))
|
||||
// ]
|
||||
|
||||
|
||||
== Simplified usage
|
||||
|
||||
#text(
|
||||
size: .7em,
|
||||
size: .65em,
|
||||
)[
|
||||
#columns(2, gutter: 3pt)[
|
||||
#show raw: it => {
|
||||
show regex("pin\d"): it => pin(eval(it.text.slice(3)))
|
||||
it
|
||||
@@ -18,6 +43,7 @@
|
||||
language: "python",
|
||||
code_cell(notebook, cell_id: "code_for_run"),
|
||||
)
|
||||
]
|
||||
// #pinit-point-to(1)[Hello]
|
||||
// #pinit-point-to(2)[Hello]
|
||||
// #pinit-point-to(3)[Hello]
|
||||
@@ -27,4 +53,3 @@
|
||||
]
|
||||
|
||||
|
||||
#link(<backup_validation>, "Validated")
|
||||
|
143
introduction.typ
143
introduction.typ
@@ -9,7 +9,10 @@
|
||||
|
||||
- Is strongly linked to the formation and growth of the first galaxies and black holes.
|
||||
|
||||
- Sets the stage for many observables: CMB secondary anisotropies, 21-cm signal, high-z galaxy surveys.
|
||||
- Sets the stage for many observables:
|
||||
- CMB secondary anisotropies
|
||||
- 21-cm signal
|
||||
- high-z galaxy surveys.
|
||||
// reformulate
|
||||
|
||||
|
||||
@@ -20,12 +23,19 @@ The brigthtness temperature describes the difference between the CMB temperature
|
||||
|
||||
#v(1em)
|
||||
|
||||
#grid(columns: 2, align: center)[
|
||||
#image("assets/cmb_black_body_spectrum.svg", height: 1fr, fit: "contain") #text(size: 0.8em)[from @cmb_spectrum]
|
||||
#grid(columns: 2, align: center, column-gutter: 1em)[
|
||||
#image("assets/cmb_and_dtb.jpeg", height: 1fr, fit: "contain") #text(size: 0.8em)[from @cmb_spectrum]
|
||||
][
|
||||
#pause
|
||||
Removing the contribution from the black body spectrum of the CMB yields the explicit 21-cm signal:
|
||||
#image("assets/cmb_black_body_spectrum.svg", height: 1fr, fit: "contain")
|
||||
#set text(size: 0.8em)
|
||||
remove contribution from the BB spectrum:
|
||||
|
||||
_differential brightness temperature_
|
||||
|
||||
$==>$ the actual 21-cm signal
|
||||
|
||||
#image("assets/brighness_temperature.png", fit: "contain")
|
||||
from @Schaeffer_2023
|
||||
]
|
||||
|
||||
#pagebreak()
|
||||
@@ -37,6 +47,9 @@ The brigthtness temperature describes the difference between the CMB temperature
|
||||
#text(size: 0.8em)[from @Pritchard2012]
|
||||
]
|
||||
|
||||
// COMMENTS:
|
||||
|
||||
|
||||
|
||||
== Expression the 21-cm signal
|
||||
Expressing the _differential brightness temperature_ (e.g @Pritchard2012):
|
||||
@@ -59,113 +72,37 @@ $ <eq:dTb>
|
||||
#layouts.contained(
|
||||
[
|
||||
*Traditional approaches*
|
||||
|
||||
// keypoints that describe heavy hydro + radiative transfer simulations
|
||||
- require hydrodynamics
|
||||
- require radiative transfer
|
||||
- scale poorly
|
||||
// From first principles
|
||||
- need to cover large dynamic range
|
||||
// small scales to resolve sources + sinks + feedback
|
||||
// large scales to capture statistics
|
||||
- hydrodynamics & radiative transfer
|
||||
- hard to scale
|
||||
|
||||
$=>$ no reproducibility
|
||||
#pause
|
||||
],
|
||||
[
|
||||
#pad(1em)[
|
||||
#align(left)[
|
||||
#text(weight: "bold")[semi-numerical approaches]
|
||||
|
||||
such as #beorn @Schaeffer_2023, `21cmFAST` [CITATION]
|
||||
- approximative treatment
|
||||
- link
|
||||
- scalable + efficient
|
||||
such as #beorn @Schaeffer_2023, `21cmFAST` @21cmfast
|
||||
|
||||
// IF ASKED: difference with `21cmFAST`:
|
||||
// based on excursion formalistm -> only valid >= 1Mpc, which is ideal for large volumes + statistics => 21-cm forecasts
|
||||
|
||||
$->$ approximative treatment
|
||||
|
||||
$->$ link
|
||||
|
||||
$->$ scalable + efficient
|
||||
|
||||
$=>$ reproducible and flexible
|
||||
// interesting to build emulators for instance
|
||||
]
|
||||
|
||||
]
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
// #layouts.two-boxes(
|
||||
// [
|
||||
// #text(weight: "bold")[Traditional approaches]
|
||||
|
||||
// // keypoints that describe heavy hydro + radiative transfer simulations
|
||||
// - require hydrodynamics
|
||||
// - require radiative transfer
|
||||
// - scale poorly
|
||||
|
||||
// $=>$ no reproducibility
|
||||
// #pause
|
||||
// ],
|
||||
// [
|
||||
// *semi-numerical approaches*
|
||||
|
||||
// such as #beorn @Schaeffer_2023, `21cmFAST` [CITATION]
|
||||
// - approximative treatment
|
||||
// - link
|
||||
// - scalable + efficient
|
||||
|
||||
// $=>$ reproducible and flexible
|
||||
|
||||
|
||||
// ]
|
||||
// )
|
||||
|
||||
#pagebreak()
|
||||
|
||||
== Matrix
|
||||
|
||||
#layouts.matrix((
|
||||
brand.wordmark,
|
||||
brand.wordmark,
|
||||
brand.wordmark,
|
||||
brand.wordmark,
|
||||
brand.wordmark,
|
||||
brand.wordmark
|
||||
))
|
||||
|
||||
== Contained
|
||||
#layouts.contained(
|
||||
columns(2, [
|
||||
- #lorem(10)
|
||||
- #lorem(15)
|
||||
- #lorem(25)
|
||||
]),
|
||||
brand.wordmark
|
||||
)
|
||||
|
||||
|
||||
|
||||
== Four columns
|
||||
|
||||
#layouts.four-columns(
|
||||
[
|
||||
#text(weight: "bold", brand.wordmark)
|
||||
#v(1em)
|
||||
#text(size: 10.5pt)[#lorem(60)]
|
||||
],
|
||||
[
|
||||
#text(weight: "bold", brand.wordmark)
|
||||
#v(1em)
|
||||
#text(size: 10.5pt)[#lorem(45)]
|
||||
],
|
||||
[
|
||||
#text(weight: "bold", brand.wordmark)
|
||||
#v(1em)
|
||||
#text(size: 10.5pt)[#lorem(75)]
|
||||
],
|
||||
[
|
||||
#text(weight: "bold", brand.wordmark)
|
||||
#v(1em)
|
||||
#text(size: 10.5pt)[#lorem(50)]
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
|
||||
== Two columns
|
||||
|
||||
#layouts.contained(
|
||||
columns(2, [
|
||||
- #lorem(10)
|
||||
- #lorem(15)
|
||||
- #lorem(25)
|
||||
]),
|
||||
brand.wordmark
|
||||
)
|
||||
|
3
main.typ
3
main.typ
@@ -107,6 +107,7 @@
|
||||
institution: [ETH Zürich, University of Zürich],
|
||||
// logo: brand.logo,
|
||||
),
|
||||
config-common(handout: true)
|
||||
// footer-left: self => [..#padded_logos],
|
||||
)
|
||||
|
||||
@@ -126,7 +127,7 @@
|
||||
= End
|
||||
== Thank you for your attention
|
||||
|
||||
#bibliography("references.bib")
|
||||
#bibliography("references.bib", title: "References")
|
||||
#show: appendix
|
||||
#include("backup.typ")
|
||||
|
||||
|
147
main2.typ
147
main2.typ
@@ -1,147 +0,0 @@
|
||||
#import "@preview/touying:0.6.1": *
|
||||
#import "@preview/touying-unistra-pristine:1.4.2": *
|
||||
|
||||
#show: unistra-theme.with(
|
||||
aspect-ratio: "16-9",
|
||||
config-info(
|
||||
title: [Title],
|
||||
author: [Author],
|
||||
date: datetime.today().display("[month repr:long] [day], [year repr:full]"),
|
||||
logo: image("assets/cmb_black_body_spectrum.svg"),
|
||||
),
|
||||
config-store(
|
||||
quotes: (
|
||||
left: "‘",
|
||||
right: "’",
|
||||
),
|
||||
icon-links: (
|
||||
"image": (
|
||||
regex("\.(jpg|jpeg|png|bmp|svg|webp|tiff)$"),
|
||||
none,
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
#title-slide(logo: image("assets/eth-logo.svg"))
|
||||
|
||||
= Example Section Title
|
||||
|
||||
== Example Slide
|
||||
|
||||
A slide with *important information*.
|
||||
|
||||
#pause
|
||||
|
||||
=== Highlight
|
||||
This is #highlight(fill: blue.C)[highlighted in blue]. This is #highlight(fill: yellow.C)[highlighted in yellow]. This is #highlight(fill: green.C)[highlighted in green]. This is #highlight(fill: red.C)[highlighted in red].
|
||||
|
||||
#hero(
|
||||
image("assets/eth-logo.svg"),
|
||||
title: "Hero",
|
||||
subtitle: "Subtitle",
|
||||
hide-footer: false,
|
||||
)
|
||||
|
||||
#hero(
|
||||
image("assets/cmb_black_body_spectrum.svg", width: 100%, height: 100%),
|
||||
txt: (
|
||||
text: "This is an "
|
||||
+ highlight(
|
||||
fill: yellow.C,
|
||||
)[RTL#footnote[RTL = right to left. Oh, and here's a footnote!] hero with text and no title]
|
||||
+ ".\n",
|
||||
enhanced: false,
|
||||
),
|
||||
direction: "rtl",
|
||||
footnote: true,
|
||||
)
|
||||
|
||||
#gallery(
|
||||
// image("../assets/cat1.jpg", width: auto, height: 50%),
|
||||
// image("../assets/cat2.jpg", width: auto, height: 50%),
|
||||
// image("../assets/cat1.jpg", width: auto, height: 50%),
|
||||
// image("../assets/cat2.jpg", width: auto, height: 50%),
|
||||
title: "Gallery",
|
||||
captions: (
|
||||
"Cat 1",
|
||||
"Cat 2",
|
||||
"Cat 1 again",
|
||||
"Cat 2 again",
|
||||
),
|
||||
columns: 4,
|
||||
)
|
||||
|
||||
#focus-slide(
|
||||
theme: "smoke",
|
||||
[
|
||||
This is a focus slide \ with theme "smoke"
|
||||
],
|
||||
)
|
||||
|
||||
#focus-slide(
|
||||
theme: "neon",
|
||||
icon: nv-icon("text-undo"),
|
||||
[
|
||||
This is a focus slide \ with theme "neon" and Nova icon "text-undo"
|
||||
],
|
||||
)
|
||||
|
||||
#focus-slide(
|
||||
theme: "yellow",
|
||||
icon: us-icon("book-open"),
|
||||
[
|
||||
This is a focus slide \ with theme "yellow" and Unistra icon "book-open"
|
||||
],
|
||||
)
|
||||
|
||||
#focus-slide(
|
||||
c1: black,
|
||||
c2: white,
|
||||
icon: us-icon("plant"),
|
||||
[
|
||||
This is a focus slide \ with custom colors \ and Unistra icon "plant"
|
||||
\ Next: Section 2
|
||||
],
|
||||
text-color: yellow.D,
|
||||
)
|
||||
|
||||
= Section 2
|
||||
|
||||
== Hey! New Section!
|
||||
|
||||
#lorem(30)
|
||||
#pause
|
||||
#lorem(20)
|
||||
#pause
|
||||
Hello!
|
||||
=== Heading 3
|
||||
|
||||
#lorem(10)
|
||||
|
||||
==== Heading 4
|
||||
|
||||
#lorem(80)
|
||||
|
||||
#quote(
|
||||
attribution: [from the Henry Cary literal translation of 1897 | *Noticed the custom quotes?*],
|
||||
)[
|
||||
... I seem, then, in just this little thing to be wiser than this man at
|
||||
any rate, that what I do not know I do not think I know either.
|
||||
]
|
||||
|
||||
#slide[
|
||||
First column. #lorem(15)
|
||||
][
|
||||
Second column. #lorem(15)
|
||||
]
|
||||
|
||||
== Icon Links
|
||||
|
||||
https://i.edoyen.com/ShareX/2025/07/ky3Hdt.gif
|
||||
|
||||
#link("https://i.edoyen.com/ShareX/2025/07/ky3Hdt.gif")[with \#link]
|
||||
|
||||
https://i.edoyen.com/ShareX/2025/07/ky3Hdt.gif
|
||||
|
||||
https://i.edoyen.com/ShareX/2025/07/ky3Hdt.jpg
|
@@ -441,5 +441,9 @@ archivePrefix = {arXiv},
|
||||
|
||||
@website{cmb_spectrum,
|
||||
title = "CMB spectrum",
|
||||
url = "https://commons.wikimedia.org/wiki/File:Cmbr.svg",
|
||||
url = "https://asd.gsfc.nasa.gov/archive/arcade/cmb_intensity.html",
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
@@ -21,7 +21,12 @@
|
||||
#pause
|
||||
],
|
||||
[
|
||||
...
|
||||
$->$ inaccurate when applied to all halos
|
||||
|
||||
$->$ #text(weight: "bold")[inconsistent] with the N-body output
|
||||
|
||||
#pause
|
||||
$->$ stochasticity for a more realistic description?
|
||||
]
|
||||
)
|
||||
|
||||
@@ -31,13 +36,41 @@
|
||||
|
||||
#image_cell(notebook, cell_id: "profile_plot_alpha_dependence")
|
||||
|
||||
$M_"h" = 6.08 dot 10^11 M_dot.circle$ (fixed)
|
||||
|
||||
$==>$ correction up to $times 5$
|
||||
|
||||
// COMMENTS
|
||||
// That will be directly affect the global signal as well
|
||||
// shifting
|
||||
//
|
||||
// Yu-Siu already investigated the more nuanced effect of stochasticity but the approach we propose should supersede that
|
||||
|
||||
#pagebreak()
|
||||
|
||||
== Inferring growth from #smallcaps[Thesan] data
|
||||
#lorem(50)
|
||||
- already includes precomputed merger trees @Springel2005
|
||||
// ideal for rapid iterations
|
||||
|
||||
- follow main progenitor branch back in time
|
||||
|
||||
- fit the exponential model to main progrenitor branch
|
||||
// in a parallelized fashion => want to stay fast
|
||||
// fix the original mass for max. consistency
|
||||
// fix the allowed dynamic range
|
||||
|
||||
- use *individual growth* to select profile
|
||||
// this sort of "breaks the degeneracy" between halos of the same mass but different growth histories
|
||||
|
||||
- *self-consistent*#pause$*$#meanwhile treatment of halo growth leveraging the snapshots
|
||||
|
||||
|
||||
#pagebreak()
|
||||
|
||||
#let notebook = json("../workdir/11_visualization/show_trees.ipynb")
|
||||
#[
|
||||
#set image(width: 100%, fit: "contain")
|
||||
#image_cell(notebook, cell_id: "merger_tree_and_fitting")
|
||||
]
|
||||
|
||||
|
||||
// COMMENTS:
|
||||
// no clear trend between mass and growth rate
|
||||
|
42
results.typ
42
results.typ
@@ -4,10 +4,44 @@
|
||||
== Map outputs
|
||||
#let notebook = json("../workdir/11_visualization/simulation_maps.ipynb")
|
||||
|
||||
#image_cell(notebook, cell_id: "presentation_x_alpha_map")
|
||||
#image_cell(notebook, cell_id: "presentation_temperature_map")
|
||||
#image_cell(notebook, cell_id: "presentation_xHII_map")
|
||||
#image_cell(notebook, cell_id: "presentation_dtb_map")
|
||||
#grid(
|
||||
columns: (auto, 10em)
|
||||
)[
|
||||
#image_cell(notebook, cell_id: "presentation_x_alpha_map")
|
||||
][
|
||||
#lorem(20)
|
||||
]
|
||||
|
||||
#pagebreak()
|
||||
|
||||
#grid(
|
||||
columns: (auto, 10em)
|
||||
)[
|
||||
#image_cell(notebook, cell_id: "presentation_temperature_map")
|
||||
][
|
||||
#lorem(20)
|
||||
]
|
||||
|
||||
#pagebreak()
|
||||
|
||||
#grid(
|
||||
columns: (auto, 10em)
|
||||
)[
|
||||
#image_cell(notebook, cell_id: "presentation_xHII_map")
|
||||
][
|
||||
#lorem(20)
|
||||
]
|
||||
|
||||
#pagebreak()
|
||||
|
||||
#grid(
|
||||
columns: (auto, 10em)
|
||||
)[
|
||||
#image_cell(notebook, cell_id: "presentation_dtb_map")
|
||||
][
|
||||
#lorem(20)
|
||||
]
|
||||
|
||||
|
||||
|
||||
|
||||
|
Reference in New Issue
Block a user