Cluster Formation in Lagrangian Perturbation Theory. Lavinia Heisenberg

Similar documents
Appendix E. Lagrangian Perturbation Theory and Initial condition for Cosmological N-body Simulation

formation of the cosmic large-scale structure

Structure formation. Yvonne Y. Y. Wong Max-Planck-Institut für Physik, München

Princeton December 2009 The fine-scale structure of dark matter halos

N-body Simulations and Dark energy

N-body Simulations. Initial conditions: What kind of Dark Matter? How much Dark Matter? Initial density fluctuations P(k) GRAVITY

The Effects of Inhomogeneities on the Universe Today. Antonio Riotto INFN, Padova

The fine-scale structure of dark matter halos

Outline. Walls, Filaments, Voids. Cosmic epochs. Jeans length I. Jeans length II. Cosmology AS7009, 2008 Lecture 10. λ =

Non-linear structure in the Universe Cosmology on the Beach

4 Evolution of density perturbations

Lecture 6: Dark Matter Halos

Numerical Cosmology & Galaxy Formation

Galaxy Cluster Mergers

AST4320: LECTURE 10 M. DIJKSTRA

Gravitational Radiation from Coalescing SMBH Binaries in a Hierarchical Galaxy Formation Model

Galaxy Bias from the Bispectrum: A New Method

N-body Cosmology: The billion-body problem. Brian O Shea Michigan State University

Beyond the spherical dust collapse model

Future evolution of bound supercluster in an accelerating Universe

Origin of Structure Formation of Structure. Projected slice of 200,000 galaxies, with thickness of a few degrees.

Cosmological Structure Formation

Formation of z~6 Quasars from Hierarchical Galaxy Mergers

Analysis of The Theory of Abstraction

Cosmological shock waves

arxiv:astro-ph/ v1 19 Nov 1999

Dark Matter Halos. They will have a large impact on galaxies

Observational Cosmology

An optimized filter to detect galaxy clusters in optical surveys

The Los Cabos Lectures

2. What are the largest objects that could have formed so far? 3. How do the cosmological parameters influence structure formation?

ASTR 610 Theory of Galaxy Formation Lecture 15: Galaxy Interactions

The Zel dovich Approximation. Large-scale structure goes ballistic

COLA with scale dependent growth: applications to modified gravity and massive neutrinos

Improving fast generation of halo catalogues with higher order Lagrangian perturbation theory

Physical Dynamics (SPA5304) Lecture Plan 2018

Formation and cosmic evolution of supermassive black holes. Debora Sijacki

Origin of Bi-modality

The Formation and Evolution of Galaxy Clusters

Physics 463, Spring 07. Formation and Evolution of Structure: Growth of Inhomogenieties & the Linear Power Spectrum

Testing the Frozen Flow Approximation

Galaxy Formation! Lecture Seven: Galaxy Formation! Cosmic History. Big Bang! time! present! ...fluctuations to galaxies!

AGN in hierarchical galaxy formation models

You may not start to read the questions printed on the subsequent pages until instructed to do so by the Invigilator.

Physical Dynamics (PHY-304)

Feedback, AGN and galaxy formation. Debora Sijacki

Astronomy 730. Evolution

The Zel dovich Approximation. Large-scale structure goes ballistic

Spiral Structure. m ( Ω Ω gp ) = n κ. Closed orbits in non-inertial frames can explain the spiral pattern

1.1 Large-scale properties of the Universe

Brad Gibson Centre for Astrophysics & Supercomputing Swinburne University

Lecture 37: Principal Axes, Translations, and Eulerian Angles

How the Dark-Matter Sheet Stretches and Folds up to Form Cosmic Structures

A5682: Introduction to Cosmology Course Notes. 11. CMB Anisotropy

Massive black hole formation in cosmological simulations

arxiv:astro-ph/ v3 20 Apr 2007

Stellar Dynamics and Structure of Galaxies

Lecture Outlines. Chapter 25. Astronomy Today 7th Edition Chaisson/McMillan Pearson Education, Inc.

Structure Formation and Evolution in Warm Dark Matter Cosmologies -Numerical Simulations-

Dr Carolyn Devereux - Daphne Jackson Fellow Dr Jim Geach Prof. Martin Hardcastle. Centre for Astrophysics Research University of Hertfordshire, UK

Halo models of large scale structure

A5682: Introduction to Cosmology Course Notes. 11. CMB Anisotropy

How black holes get their kicks! Gravitational radiation recoil from binary inspiral and plunge into a rapidly-rotating black hole.

The Current Status of Too Big To Fail problem! based on Warm Dark Matter cosmology

Lorentzian elasticity arxiv:

arxiv:astro-ph/ v1 29 Jan 1996

dark matter haloes and galaxy formation

You may not start to read the questions printed on the subsequent pages until instructed to do so by the Invigilator.

The Los Cabos Lectures

Cosmological Perturbation Theory

arxiv:astro-ph/ v1 22 Sep 2005

The Local Group Timing Argument

Towards Understanding Simulations of Galaxy Formation. Nigel Mitchell. On the Origin of Cores in Simulated Galaxy Clusters

ASTROPHYSICAL PROPERTIES OF MIRROR DARK MATTER

arxiv:astro-ph/ v2 29 Jan 1998

Galaxy interaction and transformation

Comments on the size of the simulation box in cosmological N-body simulations

Chapter 25: Galaxy Clusters and the Structure of the Universe

4. Structure of Dark Matter halos. Hence the halo mass, virial radius, and virial velocity are related by

Issues in Non-Linear Cosmological Dynamics

arxiv: v1 [astro-ph.co] 1 Oct 2009

Astro Assignment 1 on course web page (due 15 Feb) Instructors: Jim Cordes & Shami Chatterjee

Ph.D. QUALIFYING EXAMINATION DEPARTMENT OF PHYSICS AND ASTRONOMY WAYNE STATE UNIVERSITY PART I. FRIDAY, May 5, :00 12:00

Phys/Astro 689: Lecture 3. The Growth of Structure

The theoretical view of high-z Clusters. Nelson Padilla, PUC, Chile Pucón, November 2009

Next Generation (Semi-)Empirical galaxy formation models - Matching individual galaxies

Lecture 38: Equations of Rigid-Body Motion

Amplification of magnetic fields from turbulence in the early Universe

A Lagrangian approach to the kinematic dynamo

Linear Theory and perturbations Growth

Cosmic Acceleration from Modified Gravity: f (R) A Worked Example. Wayne Hu

Dark Matter Accretion and the Hessian Matrix

arxiv:astro-ph/ v1 20 Sep 2006

Nonlinear wave-wave interactions involving gravitational waves

An Effective Field Theory for Large Scale Structures

Cosmic Web, IGM tomography and Clamato

Massimo Meneghetti 1, Elena Torri 1, Matthias Bartelmann 2, Lauro Moscardini 3, Elena Rasia 1 and Giuseppe Tormen 1,

ASTR 610 Theory of Galaxy Formation Lecture 4: Newtonian Perturbation Theory I. Linearized Fluid Equations

Current status of the ΛCDM structure formation model. Simon White Max Planck Institut für Astrophysik

CHAPTER 20. Collisions & Encounters of Collisionless Systems

Transcription:

Cluster Formation in Lagrangian Perturbation Theory Zentrum fu r Astronomie (ITA/ZAH) Universita t Heidelberg 18.12.2009, University of Canterbury, Christchurch

outline 1 Introduction 2 LPT 3 ELL 4 PINOCCHIO

PINOCCHIO standing for PINpointing Orbit-Crossing Collapsed HIerarchical Objects

Structure Formation Universe as made of a uniform smooth background with inhomogeneities study of structure formation=study of the growth of inhomogeneities if the inhomogeneities are small: linear perturbations theory (using Euler) otherwise, techniques for non-linear evolution analytical treatment not possible, numerical simulations (N-body simulation)

Why should we study the non-linear regime? to understand the formation of large structures as galaxy clusters Why are they interesting objects? because they are the most massive gravitationally bound systems in the Universe

PINOCCHIO instead of N-body sim.: PINOCCHIO (using Lagrangian Perturbation Theory) first developed by Monaco et al.(2001) is an algorithm to study the formation and evolution of dark matter haloes in a given initial linear density field uses Lagrangian perturbative approximation + ellipsoidal collapse density inhomogeneities replaced by the perturbed trajectories about the linear initial displacement

Lagrangian system of equations for a gravitating collisionless fluid Euler equation (1) d 2 dt 2 x( q, t) = [ f( q, t) 2H u( q, t)] a(t) (2) continuity equation (3) 1 + δ[ x( q, t), t] = 1 J( q, t) (4) Poisson equation (5) f = 4πGaρ b δ (6) irrotationality (7) x u = 0 (8)

Mapping from the Eulerian to the Lagrangian The path of each fluid element is followed during its evolution x( q, τ) q + D( q, τ). (9) D fully characterizes the map between the Eulerian and the Lagrangian coordinates Transformation of the Eulerian Fields in Lagrangian coordinates The Euler equation, the mass conservation relation, the Poisson equation and the Eulerian irrotationality condition expressed by the displacement field D v[ x( q, τ), τ] = d D( q, τ)/dτ (10) 1 + δ[ x( q, τ), τ] = det(i + D) 1 (11) x D = α(τ) δ[ x( q, τ), τ] (12) x D = 0 (13)

Lagrangian Perturbation Theory Transformation of the Eulerian Fields in Lagrangian coordinates Replacing the differentiation with respect to the Eulerian position x by the differentiation with respect to the Lagrangian q. the Poisson equation: [ (1 + D) δ αβ D αβ + D C αβ] Dβα = α(τ)[j( q, τ) 1], (14) the Eulerian irrotationality condition: ɛ αβγ [(1 + D) δ βσ D βσ + D C βσ] Ḋγσ = 0, (15)

Lagrangian Perturbation Theory Lagrangian Perturbative Approximation expand the trajectory D in a perturbative series D( q, τ) = g 1 (τ) D (1) ( q)+g 2 (τ) D (2) ( q)+g 3 (τ) D (3) ( q)+. (16) the Jacobian determinant as well J( q, τ) = 1 + D αα + 1/2 [D αα D ββ D αβ D βα ] + det(d αβ ) (17) First-Order Solution: The Zel dovich Approximation g 1 (τ) α(τ) g 1 (τ) = 0. (18) with the solution [ ] τ 1 g 1 (τ) = 1 + 3 (τ 2 1) 1 + τ ln, (19) τ + 1

Lagrangian Perturbation Theory Lagrangian Perturbative Approximation expand the trajectory D in a perturbative series D( q, τ) = g 1 (τ) D (1) ( q)+g 2 (τ) D (2) ( q)+g 3 (τ) D (3) ( q)+. (16) the Jacobian determinant as well J( q, τ) = 1 + D αα + 1/2 [D αα D ββ D αβ D βα ] + det(d αβ ) (17) First-Order Solution: The Zel dovich Approximation g 1 (τ) α(τ) g 1 (τ) = 0. (18) with the solution [ ] τ 1 g 1 (τ) = 1 + 3 (τ 2 1) 1 + τ ln, (19) τ + 1

Lagrangian Perturbation Theory Lagrangian Perturbative Approximation temporal solutions g 2 = 3 14 g2 1Ω a (20) g 3a = 1 9 g3 1Ω b (21) g 3b = 5 42 g3 1Ω c (22) g 3c = 1 14 g3 1Ω d (23)

Lagrangian Perturbations and ellipsoidal Collapse Ellipsoid the potential of a homogeneous ellipsoid in its principal reference frame the corresponding displacements ψ( q) = 1 2 (λ 1q 2 1 + λ 2 q 2 2 + λ 3 q 2 3) (24) D (1) a,b ψ,ab( q). (25) D (2) a,b = ψ,abψ,cc ψ,ac ψ,bc D (3a) a,b = ψ,ac ψ C,bc (26) D (3b) a,b D (3c) a,b = 0 = 1 2 [D(2) ab ψ,cc D (2) bc ψ,ac + ψ,ab D c,c (2) ψ,bc D a,c] (2)

Lagrangian Perturbations and ellipsoidal Collapse Ellipsoid collapse time J( q, g c ) = 0. (27) neglecting the Ω dependence of the time functions collapse time is given by the third order algebraic equation 1+λ i g c 3 ( 14 λ i(δ l λ i )gc 2 I3 126 + 5 ) 84 λ iδ l (δ l λ i ) gc 3 = 0 (28)

Collapse equation to solve Collapse Times collapse time 1. 1 + g (1) λ 3 = 0 g (1) c = 1 λ 3 2. 1 + λ i g (2) c 3 14 λ i(δ l λ i )(g (2) c ) 2 = 0 g (2) c = 7λ 3+ 7λ 3 (λ 3 +6δ l ) 3λ 3 ( λ 3 +δ l ) 3. 1 + λ i g c 3 14 λ i(δ l λ i )gc 2 (3) g c 1 = 2 q cos(θ/3) (δ l /λ i 1)/14c + I3 126 + 5 84 λ iδ l (δ l λ i ) gc 3 = 0 gc(3) 2 = 2 q cos((θ + 2π)/3) (δ l /λ i 1)/ (3) g c 3 = 2 q cos((θ + 4π)/3) (δ l /λ i 1)/

Introduction LPT PINOCCHIO: Collapse ELL PINOCCHIO (first part) Collapse Time Compute the power spectrum of the initial density fluctuations numerically and therefrom generate the density contrast δl, afterwards the initial displacements. Smoothe the field with a Gaussian window function Calculate the deformation tensor and its eigenvalues Define the collapse time as J(~q, bc ) = 0 using ellipsoidal collapse as a truncation of the Lagrangian series

Fragmentation (second part) first case If none of the 6 Lagrangian neighbours have collapsed, then the particle is a local maximum of the inverse collapse time This particle is a seed for a new halo having the unit mass of the particle and been created at the particle s position. Obviously the particle with the first collapse time is the first halo.

Fragmentation (second part) first case In the case that the collapsing particle touches only one halo, then the accretion condition, if the halo is close enough, is checked. When the accretion condition is satisfied, then the particle is added to the halo, otherwise it is marked as belonging to a filament. The particles that only touch filaments are marked as filaments as well.

Fragmentation (second part) first case In the case of more than one touching, the merging condition has to be checked for all the halo pairs. The pairs that satisfy the conditions are merged together. The accretion condition for the particle is checked for all the touching halos. It accretes onto that halo for which d/r N is the smaller.

Fragmentation (second part) first case If the collapsing particle does not accrete onto the candidate halos in tha case they are too far, it becomes a filament. But later for this filament particle there is still the posibility to accrete when its neighbour particle accretes onto a halo. This is done in order to mimic the accretion of filaments onto the halos.

The Code

Fragmentation Accretion Condition The collapsing particle accretes onto the touching halo, if it is close enough, i.e. the Eulerian comoving distance d between particle and halo is smaller than a fraction of the halo s size R N, d < f a R N + f ra + δd (29) The size R of a halo of N particles is assumed to be R N = N 1/3. Merging Condition Two haloes merge if the distance d between them is smaller than a fraction of the Lagrangian radius of the larger halo: d < f m max(r N1, R N2 ) + f rm (30) This condition reflects the fact that the centre of mass of the smaller halo is within a distance f m R N1 of the centre of mass of the larger halo.

Fragmentation Accretion Condition The collapsing particle accretes onto the touching halo, if it is close enough, i.e. the Eulerian comoving distance d between particle and halo is smaller than a fraction of the halo s size R N, d < f a R N + f ra + δd (29) The size R of a halo of N particles is assumed to be R N = N 1/3. Merging Condition Two haloes merge if the distance d between them is smaller than a fraction of the Lagrangian radius of the larger halo: d < f m max(r N1, R N2 ) + f rm (30) This condition reflects the fact that the centre of mass of the smaller halo is within a distance f m R N1 of the centre of mass of the larger halo.

Mass function and positions of haloes (first order) -16-16.5 mass function (first order) numerical analytical Lagrange positions of haloes 3-dimensional (first order) masses: log dn/dmdv -17-17.5-18 -18.5-19 -19.5-20 13.4 13.5 13.6 13.7 13.8 13.9 14 14.1 14.2 14.3 14.4 14.5 log M [M 0 ] z [Mpc] 400 350 70 300 60 250 50 200 150 40 100 30 50 20 0 10 0 70 40 5060 y [Mpc] 0 10 20 30 40 50 60 70 0 102030 x [Mpc]

Mass function and positions of haloes (third order) -16-16.5 mass function (third order) third order analytical Lagrange positions of haloes 3-dimensional (third order) masses: log dn/dmdv -17-17.5-18 -18.5-19 -19.5-20 12.6 12.8 13 13.2 13.4 13.6 13.8 14 14.2 log M [M 0 ] z [Mpc] 400 350 70 300 60 250 50 200 40 150 100 30 50 20 0 10 0 70 40 5060 y [Mpc] 0 10 20 30 40 50 60 70 0 102030 x [Mpc]

Parameter space mass function (Monaco parameters) mass function (three parameters changed) -16 numerical -15.5 numerical -16.5 analytical -16 analytical -17-16.5-17.5-17 log dn/dmdv -18 log dn/dmdv -17.5-18.5-18 -19-18.5-19.5-19 -20 12.8 13 13.2 13.4 13.6 13.8 14 14.2 14.4 log M [M 0 ] -19.5 12.4 12.6 12.8 13 13.2 13.4 13.6 13.8 14 log M [M 0 ]

Parameter space mass function (parameter f a changing) mass function (parameter f m changing) -16.5 f a -0.10-16 f m -0.10-17 f a f a +0.10 f m f m +0.10 analytical f a -17 analytical f m -17.5 analytical f a -0.10 analytical f m -0.10 analytical f a +0.10 analytical f m +0.10-18 -18 log dn/dmdv -18.5-19 log dn/dmdv -19-19.5-20 -20-20.5 13.4 13.6 13.8 14 14.2 14.4 14.6 14.8 log M [M 0 ] -21 13 13.2 13.4 13.6 13.8 14 14.2 14.4 14.6 14.8 15 log M [M 0 ] mass function (parameter f ra changing) mass function (parameter f rm changing) -16.5 f ra +0.05-16.5 f rm +0.05-17 f ra f ra +0.10-17 f rm f rm +0.10-17.5-18 analytical f ra analytical f ra +0.05 analytical f ra +0.10-17.5 analytical f rm analytical f rm +0.05 analytical f rm +0.10 log dn/dmdv -18.5-19 log dn/dmdv -18-18.5-19.5-19 -20-20.5-19.5-21 13.4 13.6 13.8 14 14.2 14.4 14.6 14.8 log M [M 0 ] -20 13.4 13.6 13.8 14 14.2 14.4 14.6 log M [M 0 ]

please be careful: any correlation between the mass function and the parameter space should be studied very carefully and physically well justified (PS:don t extrapolate to 2010)

Merger Tree merging at each merger of two haloes a new halo is created with the identification number (ID) the mass of each halo involved in the merging process is recorded together with the redshift the progenitor haloes are not deleted, instead, for each of them one has to keep track at all times of the parent halo they are presently incorporated within

Merger Tree