2 Pages

112_08Facility

Course: V 112, Fall 2009
School: Rochester
Rating:
 
 
 
 
 

Word Count: 406

Document Preview

Laser FY07 FaciLitY report FY07 Laser Facility Report The OMEGA Facility conducted 1514 target shots for a variety of users in FY07 (see Table 112.V). A total of 27 D2 and 17 DT low-adiabat cryogenic target implosions that required high-contrast pulse shapes were performed. Such pulse shapes are typically characterized by a narrow picket pulse on top of a low-intensity foot pulse, followed by a high-intensity...

Register Now

Unformatted Document Excerpt

Coursehero >> New York >> Rochester >> V 112

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Laser FY07 FaciLitY report FY07 Laser Facility Report The OMEGA Facility conducted 1514 target shots for a variety of users in FY07 (see Table 112.V). A total of 27 D2 and 17 DT low-adiabat cryogenic target implosions that required high-contrast pulse shapes were performed. Such pulse shapes are typically characterized by a narrow picket pulse on top of a low-intensity foot pulse, followed by a high-intensity drive pulse (see Fig. 112.39). Substantial strides have been made with low-adiabat-drive pulse shapes and shock timing. Small picket timing and intensity changes have been demonstrated to effect cryogenic target areal-density measurements in agreement with theory. OMEGA Availability and Experimental Effectiveness averages for FY07 were 92.8% and 95.9%, respectively. Highlights of other achievements for FY07 include the following: AnofflineOMEGAfrequency-conversion-crystal(FCC) tuning test bed was developed and activated to tune new OMEGA and OMEGA EP FCC's. This facility supports the ongoing refurbishment of OMEGA crystals and is used to precisely characterize the performance of OMEGAEPFCC's. Morethan25neworsignificantlymodifiedtarget-diagnostic systemswerequalifiedforuseontheOMEGAExperimental 10.0 a~2 Power (TW) 18 kJ 1.0 Pulse as shot Design (width represents tolerances) 0.1 0 1 2 Time (ns) 3 4 T2368aJRC Figure 112.39 OMEGA single-beam pulse shape from a low-adiabat cryogenic target implosion (shot 47206) using pulse shape HE363001p. Facility in FY07. These diagnostics supported LLE, LLNL, LANL,AWE,andCEAexperimentsandallweresupported by LLE and the cognizant laboratory. Diagnostic improvements in FY 2007 include integration of the LLNL/OMEGA high-resolution velocimeter (OHRV) diagnostic, Table 112.V: OMEGA The target shot summary for FY07. Laboratory LLE LLNL LANL NLUF CEA AWE SNL Total Planned Number of Target Shots 629 386 158 117 40 20 11 1361 Actual Number of Target Shots 698 422 192 121 40 26 15 1514 IDINIC 174 235 73 0 0 0 15 497 DDINIC 502 0 0 0 0 0 0 502 TotalNIC 676 235 73 0 0 0 15 999 Non-NIC 22 187 119 121 40 26 0 515 240 LLE Review, Volume 112 FY07 Laser FaciLitY report upgrade of the active shock breakout (ASBO) diagnostic with a new long-pulse laser system, two ROSS streak cameras, and an off-axis telescope option, integration of an electromagnetic interference (EMI) monitor system to provide baseline and operational data to support short-pulse operations, activation of the magneto inertial fusion energy delivery system (MIFEDS), and qualification of nine x-ray imaging and spectrometer diagnostics. SignificantmodificationsweremadetotheOMEGALaser Facility in FY07 to integrate the OMEGA EP short-pulse beam intotheOMEGAtargetchamber.Thesemodificationsinclude the following: Ten-inchmanipulator#2w...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Stanford - XXFFAPK - 1033
Case 3:05-cv-00969-MMCDocument 162Filed 03/29/2006Page 1 of 11 2 3 4 5 6 7 8 9 10 IN THE UNITED STATES DISTRICT COURT FOR THE NORTHERN DISTRICT OF CALIFORNIAUnited States District Court11For the Northern District of California12 13 14
UWO - ECE - 3336
ECE3336b Electromagnetic Theory (2008/2009)1. Transmission Lines 1.1 Circuit Model of TL (pp. 1-16 & 18-32 & 84-88) 1.2 Steady-State Wave for Sinusoidal Excitation (pp. 110-114) 1.3 TL at Different Load Conditions (pp. 114-127) 1.4 Standing-Wave Ra
Wisconsin - MATH - 221
East Los Angeles College - TESTS - 100
KmeansResults: Amz100BBC100Goo100-Cluster0-0.htmlAmazon[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, ]4.htmlAmazon[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, ]8.htmlAmazon[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, ]12.htmlAmazon[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, ]16.htmlAmazon[1.0, 1.0,
East Los Angeles College - TESTS - 100
KmeansResults: BBC100Amz100-Cluster0-0.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]4.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]8.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]12.htmlBBC[1.0, 0.0, 0.0, 1.0, 0.0, 0.0, ]16.htmlBBC[1.0, 0.0, 0.0, 1.0, 0.0, 0.0,
East Los Angeles College - BBC - 100
KmeansResults: BBC100Amz100-Cluster0-0.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]4.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]8.htmlBBC[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]12.htmlBBC[1.0, 0.0, 0.0, 1.0, 0.0, 0.0, ]16.htmlBBC[1.0, 0.0, 0.0, 1.0, 0.0, 0.0,
East Los Angeles College - TESTS - 100
KmeansResults: Amz100BBC100Goo100-Cluster0-77.htmlAmazon[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ]2.htmlBBC[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, ]12.htmlBBC[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, ]17.htmlBBC[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, ]22.htmlBBC[0.0, 0.0, 0.0, 1.0,
East Los Angeles College - TESTS - 250
KmeansResults: Liv250-Cluster0-0.html[1.0, 1.0, 0.0, 0.0, 0.0, ]13.html[0.0, 0.0, 0.0, 0.0, 0.0, ]57.html[1.0, 1.0, 0.0, 0.0, 0.0, ]79.html[1.0, 1.0, 0.0, 0.0, 0.0, ]94.html[1.0, 1.0, 0.0, 0.0, 0.0, ]102.html[1.0, 1.0, 0.0, 0.0, 0.0, ]107.ht
East Los Angeles College - TESTS - 200
KmeansResults: Liv200-Cluster0-0.htmlLiverpool[1.0, 1.0, 0.0, 0.0, 0.0, ]8.htmlLiverpool[1.0, 1.0, 0.0, 0.0, 0.0, ]31.htmlLiverpool[1.0, 1.0, 0.0, 0.0, 0.0, ]57.htmlLiverpool[1.0, 1.0, 0.0, 0.0, 0.0, ]66.htmlLiverpool[1.0, 1.0, 0.0, 0.0, 0.0,
East Los Angeles College - TESTS - 300
KmeansResults: Liv300-Cluster0-0.html[1.0, 1.0, 0.0, 0.0, 0.0, ]8.html[1.0, 1.0, 0.0, 0.0, 0.0, ]31.html[1.0, 1.0, 0.0, 0.0, 0.0, ]54.html[1.0, 1.0, 1.0, 1.0, 0.0, ]57.html[1.0, 1.0, 0.0, 0.0, 0.0, ]66.html[1.0, 1.0, 0.0, 0.0, 0.0, ]71.html[
East Los Angeles College - TESTS - 250
KmeansResults: Liv250-Cluster0-176.html[0.0, 0.0, 0.0, 0.0, 0.0, ]235.html[0.0, 0.0, 0.0, 0.0, 0.0, ]13.html[0.0, 0.0, 0.0, 0.0, 0.0, ]104.html[0.0, 0.0, 0.0, 0.0, 0.0, ]189.html[0.0, 0.0, 0.0, 0.0, 0.0, ]-Cluster1-31.html[1.0, 1.0, 0.0, 0.0
East Los Angeles College - TESTS - 300
KmeansResults: Liv300-Cluster0-0.html[1.0, 1.0, 0.0, 0.0, 0.0, ]3.html[1.0, 1.0, 0.0, 0.0, 0.0, ]13.html[0.0, 0.0, 0.0, 0.0, 0.0, ]31.html[1.0, 1.0, 0.0, 0.0, 0.0, ]53.html[1.0, 1.0, 1.0, 1.0, 0.0, ]55.html[1.0, 1.0, 1.0, 1.0, 0.0, ]57.html[
RIT - EMG - 5313
Public Safety OfficersIn addition to regular duties provide: Proactive 24-hour patrols on foot and Segways Crisis intervention Crime prevention education Assistant with jumpstarts and lockouts Monitor security surveillance Collaborate with local law
New York Institute of Technology - OIT - 20000
Wi-Fi Zones at Manhattan CampusMain Campus Building (MCMB) 1855Student Activity Center BroadwayWest 61st Street1, 2, 3, 7, 8, 10 & 11 th floorsBro ay adwNew Technology Building West 16 61st Street Floors 6, 7, 8, 9, 10 & 11 thStudent Acti
RIT - SMAM - 351
SMAM 351Homework 6 SolutionIf you choose to do the problem by hand observe If n >0that 0axne - axdx = lim -xne- ax 0 +n0 xn- 1e -axdx = n 0 xn -1e- axdxc c ncu= xdu = nx n-1dx dv = ae- axdx v = -e- ax AlsoA. 0ae- axdx = 1
Allan Hancock College - PHYS - 2801
PHYS2810 Atmospheric Physics PHYS2801 Atmospheric Science Topic 2: Thermodynamics, Moisture, Stability and Clouds. Part 1: Atmospheric Thermodynamics. April 7; April 11; April 14. Readings: Ahrens: Chapter 2; Energy, Temperature and Heat. Heat Transf
Rochester - CSC - 573
Kai Shen3/25/2008Live MigrationMore on Virtual MachinesMigrating a VM from one physical machine to anotherminimal freeze timeMigration approachesstop the VM; move the VM state to the new machine; start it stop the VM on the old machine; s
SUNY Albany - JS - 385624
Jonathan Smith My family and the 20th century The people of this country have gone through a lot during the 20th century. They have gone through many ups and downs as the years have passed. My family was no different. The Cold War, the breakup of the
Rochester - ECE - 245
Lecture 21: Mobile Ad-Hoc Networks - IICurrent Research in Routing for MANETs Hybrid proactive-reactive approaches Multicast QoS supportHow can guarantees be provided in such a dynamic environment? Location-aware routing Resource-aware r
University of Illinois, Urbana Champaign - CS - 546
'$Introduction toSupport Vector MachinesShivani Agarwal&%'$Support Vector Machines (SVMs) Algorithm for learning linear classiers Motivated by idea of maximizing margin Efcient extension to non-linear SVMs through use of kernels
California State University, Monterey Bay - CH - 371
Organometallic Chemistry! Organometallic compounds combine an organic moiety with a metal in a molecule that has direct metal-carbon bonds. ! Ferrocene, first prepared in 1951, ushered in the modern era of organometallic chemistry.1 Originally cal
Concordia Chicago - M - 258
Math 258, Section 31: Honors Algebra II Winter Quarter 2009 John Boller Homework 6, Final Version Due: MONDAY, February 23, 20091. (*) Read Dummit and Foote, Sections 11.111.4. 2. (*) Dummit and Foote, Section 11.1, # 1-7. 3. (*) Show that if {v1 ,
Johns Hopkins - C - 171
Mathematical MethodsProblem Set 3 09.23.05Arfken & Weber, 5.6.2 5.6.16 5.7.4 5.7.7 5.7.12 5.8.41
Johns Hopkins - C - 171
Johns Hopkins - C - 171
Johns Hopkins - C - 171
Johns Hopkins - C - 171
Allan Hancock College - CS - 9242
W HAT IS S ECURITY ?S ECURITY A N A DVANCED I NTRODUCTIONCOMP9242 2006/S2 Week 11Example 1: DOS: Single-user system with no access control Is it secure? . . . . . if it has no data? if it contains the payroll database? if it is on a machi
Allan Hancock College - CS - 9242
Types of Multiprocessors (MPs) UMA MPSMP & Locking Uniform Memory Access Access to all memory occurs at the same speed for all processors. NUMA MP Non-uniform memory access Access to some parts of memory is faster for some processors than o
Allan Hancock College - CS - 9242
M OTIVATIONM ICROKERNELS I N A B IT M ORE D EPTHCOMP9242 2006/S2 Week 4 Early operating systems had very little structure A strictly layered approach was promoted by [Dij68] Later OS (more or less) followed that approach (e.g., Unix). Such sy
Allan Hancock College - CS - 9315
SpatialDataManagementChapter28COMP9315DatabaseSystemsImplementation1OutlineIntroduction SpatialDataType SpatialQuery SpatialIndex SummaryCOMP9315DatabaseSystemsImplementation2Introduction Applications GeographicInformationSystems
Allan Hancock College - CS - 9315
Why Sort? External SortingChapter 13 (3rd Edition) A classic problem in computer science! Data requested in sorted ordere.g., find students in increasing gpa orderSorting is first step in bulk loading B+ tree index. Sorting useful for eliminating
Allan Hancock College - CS - 9315
Overview of Query EvaluationPlan: Tree of R.A. ops, with choice of alg for each op.Overview of Query EvaluationChapter 12 (3rd Edition)Each operator typically implemented using a `pull' interface: when an operator is `pulled' for the next outpu
Allan Hancock College - CS - 9315
Outline Spatial Data ManagementChapter 28 Introduction Spatial Data Type Spatial Query Spatial Index SummaryCOMP9315 Database Systems Implementation1COMP9315 Database Systems Implementation2IntroductionApplicationsGeographic Information
Allan Hancock College - CS - 9315
IntroductionvAs for any index, 3 alternatives for data entries k*: Data record with key value k <k, rid of data record with search key value k> <k, list of rids of data records with search key k> Choice orthogonal to the indexing techniqueHa
Allan Hancock College - CS - 9315
OutlineInformation RetrievalOverview and Introduction Jialie ShenUniversity of New South Wales COMP9315 2005S2 What is Information Retrieval? Core idea of IR-related work Simple model of IR to get started IR related fieldsCOMP9315What is
Allan Hancock College - CS - 9315
An Introduction to Data StreamsWhat's in the following 1 hour Introduction to "stream" , new applications and new challenges Research projects focusing on stream processing Some interesting problems in stream processing2Jian Xu, Ying ZhangSl
Allan Hancock College - CS - 9315
SQL query parse parse tree convert logical query planheuristicbased q.o.Query Optimizationanswer executecost-based q.o.Overview of Query OptimizationPlan: Tree of R.A. ops, with choice of alg for each op. Each operator typically implemented u
Allan Hancock College - CS - 9315
COMP9315 DBMS ImplementationDr. Xuemin Lin (A/Prof) School of Computer Science and Engineering Oce: K17 - 503 E-mail: lxue@cse.unsw.edu.au Ext: 56493 http:/www.cs.unsw.edu.au/lxue WWW home address of 9315: http:/www.cs.unsw.edu.au/cs93151Course
Allan Hancock College - CS - 9315
Highlights of System R OptimizerImpact:Most widely used currently; works well for < 10 joins.Relational Query OptimizationChapter 15 (3rd Edition)Cost estimation: Approximate art at best.Statistics, maintained in system catalogs, used to esti
Allan Hancock College - CS - 9315
IntroductionvAs for any index, 3 alternatives for data entries k*: Data record with key value k <k, rid of data record with search key value k> <k, list of rids of data records with search key k>Tree-Structured IndexesvChapter 10 (3rd Edit
Allan Hancock College - CS - 9315
Disks and Files Storing Data: Disks and FilesChapter 9 (3rd Edition) DBMS stores information on ("hard") disks. This has major implications for DBMS design!READ: transfer data from disk to main memory (RAM). WRITE: transfer data from RAM to disk. B
Allan Hancock College - CS - 9315
Relational OperationsWe will consider how to implement:Evaluation of Relational OperationsChapter 14 (3rd Edition) , Part A (Joins)Selection ( ) Selects a subset of rows from relation. Projection ( ) Deletes unwanted columns from relation. Joi
Allan Hancock College - CS - 9315
Using an Index for SelectionsCost depends on # qualifying tuples, and clustering.Evaluation of Relational Operations: Other TechniquesChapter 14 (3rd Edition)Cost of finding qualifying data entries (typically small) plus cost of retrieving reco
Allan Hancock College - CS - 9315
Physical Database DesignChapter 20 (3rd Edition)COMP9315: Database Systems Implementation1OverviewAfter ER design, schema refinement, and the definition of views, we have the conceptual and external schemas for our database. The next step
Allan Hancock College - CS - 9315
External SortingChapter 13 (3rd Edition)COMP9315 Database Systems Implementation1Why Sort?A classic problem in computer science! Data requested in sorted order e.g., find students in increasing gpa orderSorting is first step in bulk lo
Allan Hancock College - CS - 9315
Storing Data: Disks and FilesChapter 9 (3rd Edition)COMP9315 Database Systems Implementation1Disks and Files DBMS stores information on ("hard") disks. This has major implications for DBMS design! READ: transfer data from disk to main m
Allan Hancock College - CS - 9315
TreeStructured IndexesChapter 10 (3rd Edition)COMP9315 Database Systems Implementation1IntroductionAs for any index, 3 alternatives for data entries k*: Data record with key value k <k, rid of data record with search key value k> <k,
Allan Hancock College - CS - 9315
Overview of Query EvaluationChapter 12 (3rd Edition)COMP9315 Database Systems Implementation 1Overview of Query EvaluationPlan: Tree of R.A. ops, with choice of alg for each op.Each operator typically implemented using a `pull' interfac
Allan Hancock College - CS - 9315
SQL query parse parse tree convert logical query planheuristic based q.o.Query Optimization answer executecostbased q.o.apply laws statistics "improved" l.q.pPiestimate result sizes l.q.p. +sizespick best{(P1,C1),(P2,C2).}consider
Allan Hancock College - CS - 9315
Transaction Management Overview(Chapter 16 3rd Edition)COMP9315: Database Systems Implementation1TransactionsyConcurrent execution of user programs is essential for good DBMS performance.Because disk accesses are frequent, and relativel
Allan Hancock College - CS - 9315
Overview of Storage and IndexesChapter 8 (3rd Edition)COMP9315 Database Systems Implementation1Data on External StorageDisks: Can retrieve random page at fixed cost Tapes: Can only read pages in sequence But reading several consecutive pa
Allan Hancock College - CS - 9315
Relational Query OptimizationChapter 15 (3rd Edition)COMP9315 Database System Implementation1Highlights of System R OptimizerImpact:Most widely used currently; works well for < 10 joins. Statistics, maintained in system catalogs, used to
Allan Hancock College - CS - 9315
An Introduction to Data StreamsJian Xu, Ying ZhangSlides composed from multiple sources including: Stanford STREAM project AT&T, Bell lab, stream tutorial Etc.What's in the following 1 hour Introduction to "stream" , new applications and new cha
Allan Hancock College - CS - 9315
HashBased IndexesChapter 11 (3rd Edition)COMP9315 Database Systems Implementation1IntroductionAs for any index, 3 alternatives for data entries k*: Data record with key value k <k, rid of data record with search key value k> <k, list
Michigan - ICPSR - 20070209
DDI and Internationalization Joachim Wackerow 2004-07-21 Ken has covered already the main points in his notes. Based on his notes and after reading various (mainly W3C) papers on the internationalization issue Ill try a closer look to the language is
SUNY Cortland - EDU - 314
I Bought a Pet TomatoI bought a pet and I tried to teach him tricks, but he wasn't any good at catching or fetching .He could never catch a, frisbee and he wouldn't sit or speak, though we practiced every afternoon and evening for a week. He refus
Long Island U. - ECO - 9203
Eco 9203 Second Homework Assignment: Time Series I would like each of you to estimate a money demand equation for a different country. The countries that you will look at are: Name Country Hellen Christine Suleiman Kosea Moses Stephen Robert David Ba
Long Island U. - ECO - 9203
Eco 9203 First Homework Assignment: Simultaneous Equations This homework assignment is to be completed in Stata. You will use the dataset merged-world-data, which you will find on the CD-ROM that I gave you. I would like each of you to perform a diff
Long Island U. - ECO - 9203
Eco 9203 Econometrics IITopic 8: Limited and Qualitative Dependent VariablesThese slides are copyright 2009 by Tavis Barr. This material may be distributed only subject to the terms and conditions set forth in the Open Publication License, v1.0 o
MN State - PHYS - 350
Physics 350 Problem Set 1 (Spring Semester 2009) Due Thu., January 22 at 4:30PM Our Expectations: Full credit on problem sets will only be given to students who clearly show us not only their mathematical approach to the answer, but clearly state th