BlueTides OnBlueWaters Thefirstgalaxies andquasars - - PowerPoint PPT Presentation

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BlueTides OnBlueWaters Thefirstgalaxies andquasars - - PowerPoint PPT Presentation

BlueTides OnBlueWaters Thefirstgalaxies andquasars TizianaDiMatteo(CMU) YuFeng(Berkeley) RupertCroft(CMU ) NickBattaglia(Princeton) MarkStraka(NCSA) http://bluetides- project.org


slide-1
SLIDE 1

Blue
Tides On
BlueWaters

“The
first
galaxies and
quasars”

Tiziana
DiMatteo
(CMU) Yu
Feng
(Berkeley) Rupert
Croft
(CMU) Nick
Battaglia
(Princeton) Mark
Straka
(NCSA)

http://bluetides- project.org

slide-2
SLIDE 2
  • Code
used:
PetaGadget
(Petapps

Cosmology)

  • Physics:

gravity,
SPH,
cooling,

star
formation,
feedback,

black holes.

  • Runs
using
Kraken
at
NICS



(>100k
compute
cores).

Cosmological
Hydro
Simulations:


Team:
N.
Khandai,Y.
Feng,
C.DeGraf
R.
Croft,


 










V.
Springel,
E.
Tucker

  • Particle
number:
2x32003
=64
billion
  • Box
size:











533
h-1
Mpc
  • zfinal
=















4.75

MB

MBII

2x18003
=11.5
billion 100
h-1
Mpc

  • zfinal
=
0
(biggest
SPH
vol)
slide-3
SLIDE 3
  • Code
used:
MPGadget
(Petapps

Cosmology)

  • Physics:
p-SPH,
H2
+cooling,
star

formation,
feedback,

black
holes, Patchy
Reionization.

  • Run
using
BlueWater
at
NCSA




(648k
compute
cores).

Cosmological
Hydro
Simulations:


Team:,Y.
Feng,
DM,

R.
Croft,

S.
Bird,


Battaglia


  • Particle
number:
2x70403
=
0.7triillion
  • Box
size:











400
h-1
Mpc
  • zfinal
=















7
(8)

BlueTides WHOLE
BW
run

  • Snapshots:
86
x
(47
TB
each)
slide-4
SLIDE 4

What we can resolve with 100 particles:

We resolve galaxies across the full mass function

Superclusters of galaxies Clusters of galaxies Milky way-sized galaxies Dwarf galaxies

MBII

slide-5
SLIDE 5

Algorithms keep up with computational power Hydro simulations:

On 112k cores NICS Cray XT5 Kraken On 0.72m cores NCSA Cray XE6 Blue Waters

  • billion
  • trillion
slide-6
SLIDE 6

MP-Gadget: Petascale cosmological code (P-Gadget3)

Feng
et
al.
2015a,b,
Code
paper,
in
prep.

slide-7
SLIDE 7

Short
range
force
calculation:
increased
threading efficiency

replaced
global
critical
sections
with
spinlocks
(per
particle
lock)
 and
atomic
increment
operations

2
x
speed-up

MBII kraken

slide-8
SLIDE 8

Long
range
force
calculation
(PM):
New
solver:

Pencil
beam
domain decomposition

8
x
speed-up

Blue
Tides: N=
10000
slabs


  • n
81000
MPI
ranks

E.g.
8
processes:

Open Source: Added new Array-execution interface and python binding to PFFT (http://github.com/mpip/pfft)

Figure
from
M.Pippig
2013

slide-9
SLIDE 9

Domain
decomposition:
New
global
domain
tree built
on
root
rank. 10
x
speed-up (comunication)

The communication is minimium, with one direction communication from children to root-ranks in each sub- communicator, followed by a global broadcast of the fully merged tree to all computing ranks.

slide-10
SLIDE 10

New
parellel
sorting
module:
 MP-Sort:
histogram
based
Sorting:
exchange
1
data
 item
exactly
once:

Large
impact
on
IO,
 FoF/galaxy
catalogues

“Sorting At Scale on BlueWaters”

  • Y. Feng, M. Straka, R. Croft, TDM,

2015, CUG2015; Finalist of Best Paper.

Open Source: http://github.com/rainwoodman/MP- sort

E.g
sort
10
items
on
2
MPI
tasks

slide-11
SLIDE 11

Walltime
per
step Code
performance
improvement
for
BlueTides

slide-12
SLIDE 12

New
Physical
Modeling P-SPH
formulation H2
Molecular
cooling/
star
formation Patchy
Reionization
(introducing
spatially
dependent










UV
field,
Battaglia
et
al.
,2013)

Mass
dependent
Supernova
Wind

slide-13
SLIDE 13

An example Problem : What are the first galaxies like?

Hubble
Legacy
Deep
Fields:
galaxies
at
z=8-10
 















slide-14
SLIDE 14

Current
Hubble
Legacy
Deep
Fields
probe
tiny
regions.

slide-15
SLIDE 15

Star
formation
rate
density redshift BlueTides
Simulation:
Global

SFRD
is
consistent 
with
current
observations.


Early
universe

Age:
500
Myrs

Feng
et
al.,
2015a

slide-16
SLIDE 16

Star
formation
rate
density redshift BlueTides
Simulation:
Global

SFRD
is
consistent 
with
current
observations.
 WFIRST
 Deep
 Fields









high
z,


Early
universe

Age:
500
Myrs

slide-17
SLIDE 17

Simulations
like
Observations:

Create
Mock
Fields. Source
extract
detection
to
find
galaxies

slide-18
SLIDE 18

Galaxy
Luminosity
Function
in
BlueTides
consistent with
Hubble
Legacy
Fields


Cosmic variance

Diff.
Number
density
of
galaxies Feng
et
al.,
2015a (star
formation
rate) Galaxy
luminosity bright

slide-19
SLIDE 19

Black
Hole/AGN
Luminosity
Function
in
BlueTides
 Consistent


BH
luminosity bright Feng
et
al.,
2015a

Predictions
for
first
quasars

First
super-bright
 quasars

Diff.
Number
density
of
black
Holes

slide-20
SLIDE 20

What are the first galaxies like?

slide-21
SLIDE 21

First
galaxies
are
messy…. stars gas

slide-22
SLIDE 22

z=8
Most
massive
(Milky
Way)
galaxies stars gas gas

slide-23
SLIDE 23

z=8
Most
massive
(Milky
Way)
galaxies
are
disks! stars gas

slide-24
SLIDE 24

z=8
Milky
Way
(/Massive)
Halos
look
like
disks! JWST

Feng
et
al.,
2015b

slide-25
SLIDE 25


Star
formation
in
BlueTides
(subgrid):

  • Multiphase
ISM
(Springel
2003)
  • SFR
depends
on
Metallicity/Molecular
Hydrogen

(Krumolz
&Gnedin
2011)

  • Supernova
Feedback/wind
depends
on
Halo
Mass


(e.g.
Okamoto
2010)

BH
subgrid
model
as
before

slide-26
SLIDE 26

The
sizes
of
galaxies
in
BlueTides
are
consistent with
HST
observations
-->
larger
disks
in
bright
 




galaxies

Feng
et
al.,
2015a

slide-27
SLIDE 27

What sources reionize the Universe?

Galaxies
and
AGNs
in
BlueTides

slide-28
SLIDE 28

BlueTides
and
Re-ionization
history
of
the
Universe

Galaxies
can
reionize
the
universe
for
high
escape
photon fractions.
But
AGNs
can
contribute
(very?)
significantly

z z

Required
photon
ionization
rate galaxies

AGN AGN AGN Galaxies