• Keine Ergebnisse gefunden

1. Window function in 1-D

N/A
N/A
Protected

Academic year: 2021

Aktie "1. Window function in 1-D"

Copied!
2
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Exercises for

Introduction to Cosmology (WS2011/12)

Cornelis Dullemond Exercise sheet 9

1. Window function in 1-D

Consider a 1-D function f (x). We want to convolve (i.e. smooth) with a window function W R (x − x ! ) given by

W R (x − x ! ) = 1

√ 2πR exp

!

− (x − x ! ) 2 2R 2

"

(28) The purpose is to take out short wavelength noise (noise on scales λ # R), leaving the longer wavelength modes (λ $ R) untouched. The convolution is defined as

f ˜ (x) =

#

−∞

f (x ! )W (x − x ! )dx ! (29) (a) Argue why the normalization of Eq. (28) is 1/( √

2πR).

(b) Show that, in Fourier space, this convolution is simply a multiplication of ˆ f (k) and ˆ W (k).

(c) Show that, in Fourier space, we have

k lim → 0

W ˆ (k) = 1 and lim

k →∞

W ˆ (k) = 0 (30)

(d) Explain why this means that indeed the window function “takes out short wave- length noise (noise on scales λ # R), leaving the longer wavelength modes (λ $ R) untouched.”.

2. Non-linear mass

As we saw in the lecture, we can at any point in time relate distance scales R with mass scales M through

M = 4π

3 R 3 ρ 0 (31)

where ρ 0 is the background density at the present time, so that R can be regarded as a comoving distance (a distance in $ x-space, instead of $ r = a(t)$ x-space). The non-linear mass M ∗ at some time in the past is the mass for which the corresponding distance scale R ∗ is the scale at which the variance becomes δ c 2 :

σ R 2

= 4π

#

0

k 2 dk

(2π) 3 P (k) ˆ W R 2

(k) = δ c 2 (32) (a) Argue why one can also approximately write this as

σ R 2

% 4π

# k

0

k 2 dk

(2π) 3 P (k) % δ 2 c (33)

with a suitable k ∗ .

17

(2)

(b) Give an approximate expression for k ∗ in terms of R ∗ . Let us approximate the power spectrum as

P (k) =

$ A k 3 for k > k 0

0 for k < k 0 (34)

where k 0 is the length scale of the sound horizon at t eq ; we therefore simply ignore the P (k) ∝ k part and only focus on the P (k) ∝ 1/k 3 part. A is a function of the scale factor a: i.e. A(a) which, in the matter-dominated phase obeys A(a) ∝ a.

(c) Show that this implies

k ∗ = k 0 exp

!

2 δ c 2 A(a)

"

(35) (d) Use this expression to argue that small-mass halos form first, and larger-mass

halos form later.

18

Referenzen

ÄHNLICHE DOKUMENTE

This program asks you questions such as the minimum and maximum intensity, and whether you wish to use a linear or log scale, and whether you wish to use a greyscale or color table

Die Geschwindigkeit von Gasteilchen in einem Gas mit Temperatur T folgt der so- genannten Maxwell-Boltzmannverteilung.. Diese Verteilungsfunktion werden wir hier

Mathematische Methoden in der Physik (WS2013/14). Cornelis Dullemond Kapitel

Viele der Beispiele in diesen ¨ Ubungen haben direkte Relevanz f¨ ur Elektromagnetismus.. Zeichnen Sie die folgenden

This program asks you questions such as the minimum and maximum intensity, and whether you wish to use a linear or log scale, and whether you wish to use a greyscale or color table

Viele der Beispiele in diesen ¨ Ubungen haben direkte Relevanz f¨ ur Elektromagnetismus.. Zeichnen Sie die folgenden