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Instrument Plasma Design: Outline Dr. James McFadden, UC Berkeley Outline: Particle detectors Analog Signal Processing Analyzers How to Design an instrument Calibration Issues Example Instruments James P. McFadden 1 UCLA, April 21, 2008 Plasma Instrument Design: Examples Measure charged particles from ~1 eV to ~30 keV James P. McFadden 2 UCLA, April 21, 2008 Plasma Instrument Design: Outline Some Types of...
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Instrument Plasma Design: Outline
Dr. James McFadden, UC Berkeley Outline: Particle detectors Analog Signal Processing Analyzers How to Design an instrument Calibration Issues Example Instruments
James P. McFadden 1 UCLA, April 21, 2008
Plasma Instrument Design: Examples
Measure charged particles from ~1 eV to ~30 keV
James P. McFadden
2
UCLA, April 21, 2008
Plasma Instrument Design: Outline
Some Types of Instrument Design: Developing a new technology (rare) Recognizing a use for new technology
(paying attention at the right place, right time)
Miniaturize a known technology (expensive) New optics for known technology (clever) Combining known technologies (innovative) Improve features of a technology (perfectionist) Simplifying the packaging (practical)
James P. McFadden 3 UCLA, April 21, 2008
Plasma Instruments
Components of a Plasma Sensor Analyzer selects a subset of particles to be measured. Detector to amplify an event. Analog signal processing to register an event. Digital electronics to store/compress event data.
Analyzer
James P. McFadden
4
UCLA, April 21, 2008
Detectors Faraday Cups Faraday cups are used to measure current. Cannot detect individual particles. Require large charged particle flux. Very stable sensitivity over time.
James P. McFadden
5
UCLA, April 21, 2008
Detectors Dynode Multipliers To detect a single particle requires a detector with gain.
James P. McFadden
6
UCLA, April 21, 2008
Detectors Channel Electron Multiplier (CEM) The channels are curved to prevent ion feedback. Tube diameter ~1-2 mm. CEM diameter ~3 cm.
James P. McFadden
7
UCLA, April 21, 2008
Detectors Microchannel Plates (MCPs) Channel diameter ~5-25 um, Plate...
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UCLA - ESS - 20080428
1ETC Requirements and Specificationver 1.6 04/01/05ESA & SST (ETC) Board RequirementsRev. 1.1 1.2 1.3 1.4 1.5 1.6 1.7 Date 3/02/04 6/21/04 7/23/04 09/15/04 01/27/05 04/01/05 Description of Change First Draft Changed description of Distribution
Stanford - MATH - 105
Jim Lambers Math 105A Summer Session I 2003-04 Lecture 9 Examples These examples correspond to Sections 3.2 and 3.3 in the text. Example We will use Newton interpolation to construct the third-degree polynomial p3 (x) that fits the data i 0 1 2 3 xi
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Spline Instead of averaging values, like IDW does, the Spline interpolation method fits a flexible surface, as if it were stretching a rubber sheet across all the known point values.The Spline method of interpolation estimates unknown values by ben
Duke - STA - 290
Stat 290: Introduction to Unix and EmacsObjectives1. To introduce basic emacs commands 2. To introduce some basic unix commandsNotationThe notation C-g means to hold down the Control key and hit the g key, while M-a means to invoke the Meta key
Pace - D - 891
A Pervasive Computing Solution To Asset, Problem And Knowledge ManagementAuthor:Suman Kalia Dr. Charles Tappert Dr. Allen Stix Dr. Fred GrossmanIntroductionInformation is the new currency of the global economy. We increasingly rely on the elec
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This Is a Publication of The American Association for Artificial IntelligenceThis electronic document has been retrieved from the American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 (415) 328-3123 (415) 3
Texas Tech - CS - 5352
THE ADVANCED COMPUTING SYSTEMS ASSOCIATIONThe following paper was originally published in theProceedings of the FREENIX Track:1999 USENIX Annual Technical ConferenceMonterey, California, USA, June 611, 1999Soft Updates: A Technique for Elimin
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%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: this2.dvi %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMR17 CMR12 CMBX12 CMTI12 CMMI12 CMSY10 CMR8 CMMI8 %DocumentPaperSizes: Letter %EndCom
Texas Tech - CS - 5384
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: this3.dvi %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMR17 CMR12 CMBX12 CMMI12 CMSY10 CMTT12 CMTI12 %DocumentPaperSizes: Letter %EndComment
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Low Power Cache Design M.Bilal Paracha Hisham Chowdhury Ali Raza AcknowlegementsChingLong Su and Alvin M Despain from University of Southern California,"Cache Design Tradeoffs for Power and Performance
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Symbol TablesSymbol TablesSymbol table, dictionary.nSet of items with keys. INSERT a new item. SEARCH for an existing item with a given key.nnApplications.These lecture slides have been adapted from:nOnline phone book looks up names
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The Marriage of J2EETM and JiniTM TechnologiesBruce Cohen Software Architect Brokat Technologies871, The Marriage of J2EE and Jini TechnologyIntroduction Goal of this presentation Give my answers to the questions: "Are the J2EETM and JiniTM t
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Texas Tech - CS - 5381
Symbol TablesSymbol TablesSymbol table, dictionary.nSet of items with keys. INSERT a new item. SEARCH for an existing item with a given key.nnApplications.These lecture slides have been adapted from:nOnline phone book looks up names
Texas Tech - CS - 5352
ProcessesCS 217Operating System Supports virtual machinesPromises each process the illusion of having whole machine to itself Provides services:Protection Scheduling Memory management File systems Synchronization etc.User ProcessUs
Texas Tech - CS - 5352
Chapter 5: ThreadsSingle and Multithreaded ProcessesOverview Multithreading Models Threading Issues Pthreads Solaris 2 Threads Windows 2000 Threads Linux Threads Java ThreadsOperating System Concepts5.1Silberschatz, Galvin and Gagne 2002O
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Symbol Table ImplementationsSymbol table will be used to answer two questions:1.Given a declaration of a name, is there already a declaration of the same name in the current scopei.e., is it multiply declared?2.Given a use of a name, to whic
Texas Tech - CS - 5353
Lexical AnalysisRegular Expressions Nondeterministic Finite Automata (NFA) Deterministic Finite Automata (DFA) Implementation Of DFAKey Differences for a Scanner and RE RecognizerGiven a single string, automata and regular expressions retuned a B
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Expansion Coefficients at Room Temperature Linear Expansion (10-5/K) Solids Aluminum Brass Copper Glass Pyrex Glass Iron(soft) Lead Platinum Quartz Silver Steel Tungsten Concrete Liquids Benzene Ethyl Alcohol Gasoline Mercury Water (>10C) Gases Air
UMBC - P - 192
Physics 192 Tutorial Circuits1. In the circuit shown, find the total resistance. 27 12 V 100 500 2. Find the total resistance of: 100 220 1000 220 4700 20 V3. Find the total resistance for: 270 20 V 1 k 100 10 k4.7 k100 k4. For
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Physics 192 Tutorial Circuits 2 Kirchhoff's Laws 1. In the circuit shown, find the current in each resistor. 87 12 V 120 4V2. Find the current in each resistor: 220 20 V 520 12 V840 3. For the circuit below, calculate the current flowing
UMBC - P - 151
Physics 151: Vector Mathematicsr 1) The vector A is: v A) greater than A in magnitude r C) in the direction opposite to Av B) less than A in magnitude r D) perpendicular to A2) Select the list which contains only vector quantities? A) distance,
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Physics 151: General Kinematics1) A particle moves along the x axis from x1 to x2. Of the following values of the initial and final co-ordinates, which results in a displacement that is in the negative direction? A) x1 = 4 m , x2 = 6 m B) x1 = -4 m
UMBC - P - 151
Answers to Text Problems Chapter 1 Kinematics Page I 13, 14 1. 2. 3. 4. 5. 7. 11. 12. 13. 19 25. 27. 31. 10 km east 43.8 km at 77 N of E 41.4 km/h or 11.5 m/s 7.1 km/h west or 1.98 m/s west 3.6 km/h at 70 N of W 5.1 m/s at 33.5 E of N 4.1 km at 13 N
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UMBC - CPATEL - 640
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UMBC - CPATEL - 640
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CMPE 641: Reading AssignmentRead the following papers. The papers are located in the class_locker under std_cells/papers 1. K. Scott and K. Keutzer, "Improving Cell Libraries for Synthesis" 2. N. Minh Duc and T. Sakurai, "Compact yet High-Performanc
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Spring 2009: CMPE 315 Project Specification Project Specification: Cache Design(Please refer to the webpage for any changes to this specification over the next couple of weeks). Assigned: Apr 3rd Due: May 8th (Last lab session) Code Submission: In t
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STUDENT NAME:-In-class lab #2CMSC313 Fall 2003 In Class Lab #2 Introducing the JK Flip-FlopObjectives Review the operation of a JK flip-flop circuit. Implement a clocked JK flip-flop using 74 series gates. Verify the truth table using this circu
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CMSC 313, Computer Organization & Assembly Language ProgrammingFall 2003Course DescriptionInstructor: Office: Office Hours: Telephone: Email: Chintan Patel ITE 322 Mon & Wed 10:00am11:30am 455-3963 cpatel2@csee.umbc.eduThe TAs office hours wil
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A-3Appendix A - Digital LogicThe Basic Properties of Boolean AlgebraPrinciple of duality: The dual of a Boolean function is gotten by replacing AND with OR and OR with AND, constant 1s by 0s, and 0s by 1sPostulatesTheoremsA, B, etc. are L
UMBC - CPATEL - 313
B-3Appendix B - Reduction of Digital LogicReduction (Simplification) of Boolean ExpressionsPrinciples of Computer Architecture by M. Murdocca and V. Heuring 1999 M. Murdoc c a and V. He uringB-4Appendix B - Reduction of Digital LogicRed
UMBC - CPATEL - 313
3-5Chapter 3 - ArithmeticConstructing Larger Adders A 16-bit adder can be made up of a cascade of four 4-bit ripplecarry adders. Circuit gets slower as it gets bigger.Principles of Computer Architecture by M. Murdocca and V. Heuring 1999
UMBC - CPATEL - 313
A-3Appendix A - Digital LogicClassical Model of a Finite State Machine An FSM is composed of a combinational logic unit and delay elements (called flip-flops) in a feedback path, which maintains state information. This particular FSM is based on
UMBC - CPATEL - 313
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UMBC - CPATEL - 313
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UMBC - CPATEL - 313
CMSC 313, Computer Organization & Assembly Language ProgrammingFall 2003Project 4: C FunctionsDue: Tue 10/14/03, Section 0101 (Chang) & Section 0301 (Macneil) Wed 10/15/03, Section 0201 (Patel & Bourner) Objective The objective of this programmi
Yale - CS - 112
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Yale - CS - 112
Java Software SolutionsLewis and LoftusSoftware Concepts - Introduction Now we can begin to examine the basic ideas behind writing programs Chapter 2 focuses on: the structure of a Java application basic program elements preparing and ex
Yale - CS - 112
Java Software SolutionsLewis and LoftusProgram Elements - Introduction We can now examine the core elements of programming Chapter 3 focuses on: data types variable declaration and use operators and expressions decisions and loops input a
Yale - CS - 112
Java Software SolutionsLewis and LoftusInheritance - Introduction Another fundamental object-oriented technique is called inheritance, which, when used correctly, supports reuse and enhances software designs Chapter 8 focuses on: the conc
Yale - CS - 112
Java Software SolutionsLewis and LoftusThe Software Development Process-In The quality of the software we create is a d the process we follow to develop it Chapter 11 focuses on: software life cycle development models prototypes robot
Yale - CS - 112
Java Software SolutionsLewis and LoftusRecursion-Introduction Recursion is a fundamental programming techn can provide an elegant solution certain kind Chapter 12 focuses on: thinking in a recursive manner programming in a recursive ma
Yale - CS - 112
Java Software SolutionsLewis and LoftusSorting and Searching-Introduction Two common programming tasks are sorting a l items and searching for an item in a list Chapter 13 focuses on: Selection Sort Insertion Sort A generic sort for
Yale - CS - 112
Java Software SolutionsLewis and LoftusSoftware Development Process II-Int We now extend the process established in Cha include more object-oriented issues Chapter 15 focuses on: evolutionary development object-oriented design and imple
Yale - CS - 112
Java Software SolutionsLewis and LoftusData Structures-Introduction Lets explore some advanced techniques for o and managing information Chapter 16 focuses on: dynamic structures Abstract Data Types (ADTs) linked lists queues stacks
Clemson - UNIT - 108
Stanford - CS - 156
CS156: The Calculus of ComputationZohar Manna Winter 2008Chapter 11: ArraysPage 1 of 55Arrays I: Quantier-free Fragment of TASignature: A : {[], , =} wherea[i] binary function read array a at index i (read(a,i) a i v ternary function
Milwaukee School of Engineering - CE - 1910
MSOE EECS Department: Dr. Durant CE1910: Wk. 5 Lab Grading ChecklistName: _ Item Completed Score Checking Progress 7-seg decoder VHDL, documented 7-seg simulation, including your name in footer (File|Page Setup), with illustration showing that all c
Laurentian - DAY - 3601
Integrating Art and Social Studies Billie Hogan Student PresentationWhat is integration? "The arts are taught integratively with other courses when hey are used to convey the learning objectives; however, they are not reduced to mere means for teac
NMT - EE - 308
DOCUMENT NUMBER S12SPIV3/DSPI Block Guide V03.06Original Release Date: 21 JAN 2000 Revised: 04 FEB 2003Motorola, Inc.Motorola reserves the right to make changes without further notice to any products herein. Motorola makes no warranty, repres
UCSD - VLSICAD - 110
Can Recursive Bisection Alone Produce Routable Placements?Andrew E. Caldwell, Andrew B. Kahng and Igor L. Markov UCLA Computer Science Dept., Los Angeles, CA 90095-1596 fcaldwell,abk,imarkovg@cs.ucla.eduAbstract This work focuses on congestion-d