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TGQR 2010Q4 Report.pdf - Teragridforum.org

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2.1.18<br />

2.1.19<br />

Physics: The Geophysical High Order Suite for Turbulence (GHOST) (PI: Annick<br />

Pouquet, NCAR)<br />

Student Training: Use of TeraGrid Systems in the Classroom and Research Lab (PI:<br />

Andrew Ruether, Swarthmore College)<br />

2.2 Science and Engineering Highlights<br />

2.2.1<br />

Astronomical Sciences: Detecting HI In Emission At z = 1: The Effect of Substructure<br />

(PI: Tiziana Di Matteo, Carnegie Mellon)<br />

Observations show that the cosmic star formation rate has declined by more than one order of<br />

magnitude since redshift z = 1 (about 7.7 billion years ago). However a combined census of the<br />

cold gas (the fuel for star formation), and stellar components is largely missing in observations.<br />

This cold gas fraction is a crucial ingredient in models of galaxy formation and will suggest how<br />

galaxies obtain gas and subsequently convert it to stars. A census of neutral hydrogen (HI) will<br />

put tight constraints on different models of galaxy formation.<br />

Based on current observations, Di Matteo’s group modeled the distribution of HI using dark<br />

matter simulations with 14.6 billion particles at z = 1, using the hybrid MPI/Pthreads and<br />

massively parallel code GADGET on ~22k cores of TeraGrid’s Kraken system at NICS. This<br />

simulation is around 1.5 times larger than the Millennium Simulation (Springel et al. 2005) with 3<br />

times finer mass resolution. This was made possible by their NSF PetaApps project with PSC and<br />

the University of Washington, which has scaled GADGET to ~100k cores on Kraken.<br />

A slice from Di<br />

Matteo’s group’s<br />

simulation<br />

illustrating the<br />

rich network of<br />

nodes, filaments<br />

and voids in the<br />

distribution of<br />

dark matter at z<br />

= 1 is shown in<br />

the left side of<br />

the figure. The<br />

high resolution<br />

and large<br />

volume allow<br />

the group to<br />

resolve the<br />

smallest<br />

subhalos that host HI, residing in the largest dark matter halo. The group makes predictions for<br />

existing surveys and radio interferometers to determine the HI mass function at this redshift. They<br />

predict that small galaxies (undetected in an optical survey) embedded in their parent halo can be<br />

detected through their contribution to the total HI signal when seen in a radio telescope. This is<br />

shown for one of the many large halos in their simulation in the right side of the figure.<br />

Figure 2.1. (Left) A slice from the dark matter simulation at z = 1 enclosing the largest halo. (Right)<br />

Contribution of subhalos to the HI signal. The measured signal (red line) of a single large halo and the<br />

modeled signal (black line). Data points are the contribution of subhalos within pixel, the large halo<br />

giving rise to a discrepancy between the theoretical and the observed signal.<br />

Even though individual halos cannot be detected in HI at z = 1, the group can detect the effect of<br />

substructures by stacking thousands of halos whose redshifts have been determined in an optical<br />

survey. They find that the contribution of substructure can be seen in the cumulative HI signal<br />

12

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