Abstract: This project applies state of the art parallel particle simulations to problems in computational cosmology and beam physics. The computational technology is based on more than a decade of work at Los Alamos. The project supports LANL responsibilities for the Sloan Digital Sky Survey (SDSS), projections for next-generation observational campaigns such as the DOE-sponsored SNAP (Supernova/Acceleration Probe) mission, and a DOE SciDAC project on accelerator modeling. Science targets include (cosmology): measuring the primordial fluctuation spectrum from the Lyman-alpha forest, weak lensing determination of the power spectrum and constraints on dark energy, galaxy velocity analysis to determine cosmological parameters, cluster mock catalogs for SDSS, the supercluster-void network, cluster formation and dynamics, dark halo distribution and mass function, and characterization of uncertainties for next-generation observations; (accelerators): beam-beam interactions, intrabeam scattering, and beam stability.

Investigators: Kev Abazajian (T-8/T-6, LANL), Viktor Decyk (UCLA), Derek Dolney (UPenn), Salman Habib (T-8, LANL; Co-PI), Katrin Heitmann (T-6, LANL), Daniel Holz (T-6/T-8, LANL; Chicago), Adam Lidz (Columbia/FNAL), Pat McCormick (CCS-1, LANL), Ji Qiang (LBNL), Paul Ricker (Illinois, NCSA), Robert Ryne (LBNL), Michael Warren (T-6, LANL; Co-PI), Yongzhong Xu (T-8, LANL).

Collaborations: While simulations are the responsibility of the LANL team, they, and researchers from several other institutions are part of the broader science team for this project. Aside from the researchers mentioned above, the larger collaboration includes Carnegie Mellon University (Mariangela Bernardi), Fermilab (Scott Dodelson, Josh Frieman, Lam Hui, Albert Stebbins), The University of Arizona (Idit Zehavi), The University of Chicago (Risa Wechsler), The University of Kansas (Hume Feldman, Sergei Shandarin), The University of Michigan (Gus Evrard), The University of Pennsylvania (Bhuvnesh Jain), and The University of Pittsburgh (Ryan Scranton, Ravi Sheth).