R. Nora
Lawrence Livermore National Laboratory
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Featured researches published by R. Nora.
Physics of Plasmas | 2014
V.N. Goncharov; T. C. Sangster; R. Betti; T. R. Boehly; M.J. Bonino; T.J.B. Collins; R. S. Craxton; J. A. Delettrez; D. H. Edgell; R. Epstein; R.K. Follett; C.J. Forrest; D. H. Froula; V. Yu. Glebov; D. R. Harding; R.J. Henchen; S. X. Hu; I.V. Igumenshchev; R. Janezic; J. H. Kelly; Thomas Kessler; T. Z. Kosc; S. J. Loucks; J.A. Marozas; F. J. Marshall; A. V. Maximov; R.L. McCrory; P.W. McKenty; D. D. Meyerhofer; D.T. Michel
Reaching ignition in direct-drive (DD) inertial confinement fusion implosions requires achieving central pressures in excess of 100 Gbar. The OMEGA laser system [T. R. Boehly et al., Opt. Commun. 133, 495 (1997)] is used to study the physics of implosions that are hydrodynamically equivalent to the ignition designs on the National Ignition Facility (NIF) [J. A. Paisner et al., Laser Focus World 30, 75 (1994)]. It is shown that the highest hot-spot pressures (up to 40 Gbar) are achieved in target designs with a fuel adiabat of α ≃ 4, an implosion velocity of 3.8 × 107 cm/s, and a laser intensity of ∼1015 W/cm2. These moderate-adiabat implosions are well understood using two-dimensional hydrocode simulations. The performance of lower-adiabat implosions is significantly degraded relative to code predictions, a common feature between DD implosions on OMEGA and indirect-drive cryogenic implosions on the NIF. Simplified theoretical models are developed to gain physical understanding of the implosion dynamics th...
Physics of Plasmas | 2014
M. Hohenberger; W. Theobald; S. X. Hu; Karen S. Anderson; R. Betti; T. R. Boehly; A. Casner; D. E. Fratanduono; M. Lafon; D. D. Meyerhofer; R. Nora; X. Ribeyre; T. C. Sangster; G. Schurtz; W. Seka; C. Stoeckl; B. Yaakobi
We report on laser-driven, strong-shock generation and hot-electron production in planar targets in the presence of a pre-plasma at shock-ignition (SI) relevant laser and pre-plasma conditions. 2-D simulations reproduce the shock dynamics well, indicating ablator shocks of up to 75 Mbar have been generated. We observe hot-electron temperatures of ∼70 keV at intensities of 1.4 × 1015 W/cm2 with multiple overlapping beams driving the two-plasmon decay instability. When extrapolated to SI-relevant intensities of ∼1016 W/cm2, the hot electron temperature will likely exceed 100 keV, suggesting that tightly focused beams without overlap are better suited for launching the ignitor shock.
Physics of Plasmas | 2014
R. Nora; R. Betti; Karen S. Anderson; A. Shvydky; A. Bose; K. M. Woo; A. R. Christopherson; J.A. Marozas; T.J.B. Collins; P. B. Radha; S. X. Hu; R. Epstein; F. J. Marshall; R.L. McCrory; T. C. Sangster; D. D. Meyerhofer
The theory of ignition for inertial confinement fusion capsules [R. Betti et al., Phys. Plasmas 17, 058102 (2010)] is used to assess the performance requirements for cryogenic implosion experiments on the Omega Laser Facility. The theory of hydrodynamic similarity is developed in both one and two dimensions and tested using multimode hydrodynamic simulations with the hydrocode DRACO [P. B. Radha et al., Phys. Plasmas 12, 032702 (2005)] of hydro-equivalent implosions (implosions with the same implosion velocity, adiabat, and laser intensity). The theory is used to scale the performance of direct-drive OMEGA implosions to the National Ignition Facility (NIF) energy scales and determine the requirements for demonstrating hydro-equivalent ignition on OMEGA. Hydro-equivalent ignition on OMEGA is represented by a cryogenic implosion that would scale to ignition on the NIF at 1.8 MJ of laser energy symmetrically illuminating the target. It is found that a reasonable combination of neutron yield and areal density...
Physics of Plasmas | 2017
H. Chen; T. Ma; R. Nora; M. A. Barrios; Howard A. Scott; M. B. Schneider; L. Berzak Hopkins; D. T. Casey; B. A. Hammel; L. C. Jarrott; O. L. Landen; P. K. Patel; M. J. Rosenberg; B. K. Spears
This paper presents the spectroscopic aspects of using Krypton as a dopant in NIF capsule implosions through simulation studies and the first set of NIF experiments. Using a combination of 2D hohlraum and 1D capsule simulations with comprehensive spectroscopic modeling, the calculations focused on the effect of dopant concentration on the implosion, and the impact of gradients in the electron density and temperature to the Kr line features and plasma opacity. Experimental data were obtained from three NIF Kr-dopant experiments, performed with varying Kr dopant concentrations between 0.01% and 0.03%. The implosion performance, hotspot images, and detailed Kr spectral analysis are summarized relative to the predictions. Data show that fuel-dopant spectroscopy can serve as a powerful and viable diagnostic for inertial confinement fusion implosions.
Physics of Plasmas | 2015
A. Bose; K. M. Woo; R. Nora; R. Betti
The scaling of the deceleration phase of inertial fusion direct-drive implosions is investigated for OMEGA and National Ignition Facility (NIF)-size targets. It is shown that the deceleration-phase Rayleigh–Taylor instability (RTI) does not scale hydro-equivalently with implosion size. This is because ablative stabilization resulting from thermal conduction and radiation transport in a spherically converging geometry is different on the two scales. As a consequence, NIF-scale implosions show lower hot-spot density and mass ablation velocity, allowing for higher RTI growth. On the contrary, stabilization resulting from density-gradient enhancement, caused by reabsorption of radiation emitted from the hot spot, is higher on NIF implosions. Since the RTI mitigation related to thermal conduction and radiation transport scale oppositely with implosion size, the degradation of implosion performance caused by the deceleration RTI is similar for NIF and OMEGA targets. It is found that a minimum threshold for the no-α Lawson ignition parameter of χΩ ≈ 0.2 at the OMEGA scale is required to demonstrate hydro-equivalent ignition at the NIF scale for symmetric direct-drive implosions.
Physics of Plasmas | 2017
J. L. Peterson; Kelli Humbird; J. E. Field; Scott Brandon; S. H. Langer; R. Nora; B. K. Spears; P. T. Springer
A supervised machine learning algorithm trained on a multi-petabyte dataset of inertial confinement fusion simulations has identified a class of implosions that robustly achieve high yield, even in the presence of drive variations and hydrodynamic perturbations. These implosions are purposefully driven with a time-varying asymmetry, such that coherent flow generation during hotspot stagnation forces the capsule to self-organize into an ovoid, a shape that appears to be more resilient to shell perturbations than spherical designs. This new class of implosions, whose configurations are reminiscent of zonal flows in magnetic fusion devices, may offer a path to robust inertial fusion.
Physics of Plasmas | 2018
D. T. Casey; C. A. Thomas; K. L. Baker; B. K. Spears; M. Hohenberger; S. F. Khan; R. Nora; C. R. Weber; D. T. Woods; O. A. Hurricane; D. A. Callahan; R. L. Berger; J. L. Milovich; P. K. Patel; T. Ma; A. Pak; L. R. Benedetti; M. Millot; C. Jarrott; O. L. Landen; R. Bionta; B. J. MacGowan; D. J. Strozzi; Michael Stadermann; Juergen Biener; A. Nikroo; Clement Goyon; N. Izumi; S. R. Nagel; B. Bachmann
The Bigfoot approach is to intentionally trade off high convergence, and therefore areal-density, in favor of high implosion velocity and good coupling between the laser, hohlraum, shell, and hotspot. This results in a short laser pulse that improves hohlraum symmetry and predictability, while the reduced compression reduces hydrodynamic instability growth. The results thus far include demonstrated low-mode symmetry control at two different hohlraum geometries (5.75 mm and 5.4 mm diameters) and at two different target scales (5.4 mm and 6.0 mm hohlraum diameters) spanning 300–405 TW in laser power and 0.8–1.6 MJ in laser energy. Additionally, by carefully scaling the 5.4 mm design to 6.0 mm, an increase in target scale of 13%, equivalent to 40% increase in laser energy, has been demonstrated.
Statistical Analysis and Data Mining | 2017
R. Nora; J. L. Peterson; B. K. Spears; J. E. Field; Scott Brandon
The achievement of inertial confinement fusion ignition on the National Ignition Facility relies on the collection and interpretation of a limited (and expensive) set of experimental data. These data are therefore supplemented with state-of-the-art multidimensional radiation-hydrodynamic simulations to provide a better understanding of implosion dynamics and behavior. We present a relatively large number (∼ 4000) of systematically perturbed 2D simulations to probe our understanding of low-mode fuel and ablator asymmetries seeded by asymmetric illumination. We find that Gaussian process surrogate models are able to predict both the total neutron yield and the degradation in performance due to asymmetries. The surrogates are then applied to simulations containing new sources of degradation to quantify the impact of the new source.
Proceedings of the 2nd Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization | 2016
Steven H. Langer; B. K. Spears; J. Luc Peterson; J. E. Field; R. Nora; Scott Brandon
We describe the use of our in-transit workflow infrastructure to run an ensemble of HYDRA [1] [2] Inertial Confinement Fusion (ICF) simulations in support of experiments conducted using the National Ignition Facility (NIF) laser. We discuss how our approach can be used to gain deeper insight into NIF experiments.We ran over 60,000 2D HYDRA simulations and generated over a billion synthetic x-ray images during 8 weeks on the Trinity Cray XC40 system. These represent a majority of all 2D simulations run during HYDRAs 20 year history. We implemented a producer-consumer in-transit framework to minimize the amount of disk space used to generate synthetic x-ray images. We describe our infrastructure and approach, and explore the scaling and performance issues we ran into. Our goal is to help others plan for large ensemble simulations and discuss changes to system software that would make it easier to run large ensembles.
Physics of Plasmas | 2018
B. K. Spears; James M. Brase; Peer-Timo Bremer; Barry Chen; J. E. Field; Jim Gaffney; Michael Karl Gerhard Kruse; S. H. Langer; Katie Lewis; R. Nora; J. L. Peterson; Jayaraman J. Thiagarajan; Brian Van Essen; Kelli Humbird
Machine learning is finding increasingly broad application in the physical sciences. This most often involves building a model relationship between a dependent, measurable output and an associated set of controllable, but complicated, independent inputs. We present a tutorial on current techniques in machine learning -- a jumping-off point for interested researchers to advance their work. We focus on deep neural networks with an emphasis on demystifying deep learning. We begin with background ideas in machine learning and some example applications from current research in plasma physics. We discuss supervised learning techniques for modeling complicated functions, beginning with familiar regression schemes, then advancing to more sophisticated deep learning methods. We also address unsupervised learning and techniques for reducing the dimensionality of input spaces. Along the way, we describe methods for practitioners to help ensure that their models generalize from their training data to as-yet-unseen test data. We describe classes of tasks -- predicting scalars, handling images, fitting time-series -- and prepare the reader to choose an appropriate technique. We finally point out some limitations to modern machine learning and speculate on some ways that practitioners from the physical sciences may be particularly suited to help.