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HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School 2010 Friday, August 13, 2010

HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

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Page 1: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

HALO FINDING INENZO, ART, AND GADGET

Peter Behroozi, Stanford UniversityUC-HIPACC Summer School 2010

Friday, August 13, 2010

Page 2: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

HALO FINDING IN ENZO

Peter Behroozi, Stanford UniversityUC-HIPACC Summer School 2010

Actually, mostly just:

Friday, August 13, 2010

Page 3: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

The Simulation128 cubed root mesh, 60 Mpc/h, WMAP5 cosmology

Circles represent halo maximum radiiFriday, August 13, 2010

Page 4: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Halo Finding Algorithms Bundled with ENZO

Friday, August 13, 2010

Page 5: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Halo Finding Algorithms Bundled with ENZO

HOP / Parallel HOP(particles attached to same halo as the densest

particle in their N nearest neighbors)

Friday, August 13, 2010

Page 6: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Halo Finding Algorithms Bundled with ENZO

HOP / Parallel HOP(particles attached to same halo as the densest

particle in their N nearest neighbors)

FOF / SUBFIND(particles attached to same halo as their nearest

neighbors within a specified linking length)

Friday, August 13, 2010

Page 7: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Which one is better?

HOP / Parallel HOP(particles attached to same halo as the densest

particle in their N nearest neighbors)

FOF / SUBFIND(particles attached to same halo as their nearest

neighbors within a specified linking length)

Friday, August 13, 2010

Page 8: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative Tests

Friday, August 13, 2010

Page 9: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative Tests

How consistent are halo positionsand velocities from onetimestep to the next?

Friday, August 13, 2010

Page 10: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative Tests

How consistently can the growth ofstructure be traced from the

halo catalogs?

How consistent are halo positionsand velocities from onetimestep to the next?

Friday, August 13, 2010

Page 11: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative TestsAll tests performed using a new gravitational

consistency code under development for repairingmerger trees and halo catalogs.

F =GM1M2

r2 + r2vir

dF

dr=

2GM1M2

r3> Tmin

Gravitational Acceleration

Tidal Merger Criterion

Friday, August 13, 2010

Page 12: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative Results

Friday, August 13, 2010

Page 13: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative ResultsPositional Consistency:

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.1

0.2

0.3

0.4

0.5

Avg

. Pos

ition

al E

rror

in H

alo

Trac

king

(Cm

vng

Mpc

/h)

M ~ 1011.25

M ~ 1012

M ~ 1013

M ~ 1014

How robust are halo properties?

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0.1

0.2

0.3

0.4

0.5

Avg

. Pos

ition

al E

rror

in H

alo

Trac

king

(Cm

vng

Mpc

/h)

M ~ 1011.25

M ~ 1012

M ~ 1013

M ~ 1014

(Force resolution of simulation: 15 kpc/h)

Friday, August 13, 2010

Page 14: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative ResultsInertial Consistency:

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

40

80

120

160

200

240

280

Avg

. Vel

ocity

Err

or in

Hal

o Tr

acki

ng (k

m/s

)

M ~ 1011.25

M ~ 1012

M ~ 1013

M ~ 1014

How robust are halo properties?

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

40

80

120

160

200

240

280

Avg

. Vel

ocity

Err

or in

Hal

o Tr

acki

ng (k

m/s

)

M ~ 1011.25

M ~ 1012

M ~ 1013

M ~ 1014

Friday, August 13, 2010

Page 15: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative ResultsFraction of halos missing at the previous timestep:

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.1

0.2

0.3

Frac

tion

of H

alos

With

out P

roge

nito

rs

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

How useful are the catalogs for merger trees?

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.1

0.2

0.3

Frac

tion

of H

alos

With

out P

roge

nito

rs

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

Friday, August 13, 2010

Page 16: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative ResultsFraction of halos missing at the next timestep:

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.1

0.2

0.3

Frac

tion

of H

alos

Rem

aini

ng W

ithou

t Des

cend

ants

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.1

0.2

0.3

Frac

tion

of H

alos

Rem

aini

ng W

ithou

t Des

cend

ants

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

How useful are the catalogs for merger trees?

Friday, August 13, 2010

Page 17: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative Results

Side note: Increased Resolution Helps a Great Deal!

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.01

0.02

Frac

tion

of H

alos

Rem

aini

ng W

ithou

t Des

cend

ants

M ~ 1010

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

(Bolshoi)

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Scale Factor

0

0.01

0.02

0.03

0.04

Frac

tion

of H

alos

Rem

aini

ng W

ithou

t Des

cend

ants

M ~ 1011

M ~ 1012

M ~ 1013

M ~ 1014

(Consuelo)

(GADGET-2) (ART)(2.7 billion particles) (8.6 billion particles) (1400 particles)

Fraction of halos missing at the next timestep

Friday, August 13, 2010

Page 18: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Halo Finders in Action!

Friday, August 13, 2010

Page 19: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Thanks for your attention!Peter Behroozi

[email protected]

Friday, August 13, 2010

Page 20: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Quantitative ResultsHalo Tracking Consistency

1 2 3 4 51+z

0.01

0.1

1

Frac

tion

of H

alos

Tra

cked

Vmax ~ 100 km/sVmax ~ 200 km/sVmax ~ 400 km/sVmax ~ 800 km/s

1 2 3 4 5 61+z

0.01

0.1

1

Frac

tion

of H

alos

Tra

cked

Vmax ~ 100 km/sVmax ~ 200 km/sVmax ~ 400 km/sVmax ~ 800 km/s

Friday, August 13, 2010

Page 21: HALO FINDING IN ENZO, ART, AND GADGEThipacc.ucsc.edu/html/HIPACCLectures/hipacc.pdf · HALO FINDING IN ENZO, ART, AND GADGET Peter Behroozi, Stanford University UC-HIPACC Summer School

Image Credits

http://www.elcivics.com/easter_esl_holidays_3

http://www.myfreewallpapers.net/

vehicles/pages/submarine.shtml

http://farm4.static.flickr.com/3172/2297142898_8fae4627e7_

o.jpg

http://embryology.med.unsw.edu.a

u/wwwhuman/Stages/Images/Cst800.jpg

http://www.virtualmuseum.ca/Exhibitions/Annodomini/

THEME_15/IMAGES/J991825.jpg

Friday, August 13, 2010