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.
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:
Caltech - PH - 237
Ph 237b: Gravitational Waves WEEK 17: LISA Overview, and LISA's Lasers and Optics Revised version, 16 May Lecture 31 by William Folkner (JPL) [LISA Overview] Lecture 32,by Robert Spero (JPL) [LISA's Lasers and Optics]15 May 2002Reading Related to
Caltech - PH - 237
Ph 237a: Gravitational Waves WEEK 8: COMPACT BINARIES AS GW SOURCES Lectures 13 by Phinney, and 14 by Thorne & Buonanno20 February 2002Recommended Reading: As last week, there are no textbook treatments of the material covered in this week's lect
Caltech - PH - 237
Ph 237a: Gravitational Waves30 January 2002WEEK 4: WEAK GRAVITATIONAL WAVES IN OTHERWISE FLAT SPACETIME Recommended Reading: 1. Blandford and Thorne, Applications of Classical Physics, [available on the web at http:/www.pma.caltech.edu/Courses/ph
Caltech - PH - 237
Ph 237a: Gravitational Waves20 February 2002WEEK 7: ASTROPHYSICAL PHENOMENOLOGY AND BINARY STARS AS GW SOURCES Lecture 12 by Phinney Recommended Reading: There are no good textbooks or even review articles that cover all, or even most of what Phi
Caltech - PH - 237
Ph 237b: Gravitational Waves22 May 2002WEEK 18: LISA's Disturbance Reduction System and Time Delay Interferometry Lecture 33 by Bonny Schumaker (JPL) [Disturbance Reduction System] Lecture 34 by John Anderson (JPL) [Time Delay Interferometry] Rea
Caltech - PH - 237
Seismic attenuation tools for Gravitational Wave Interferometric DetectorsRiccardo DeSalvo et al. 17th of April 2002Gravitational Wave Interferometic Detector Seismic Attenuation Requirements Ground motion 10-6 ~ 10-8 m/Hz Gravitational signal
Caltech - PH - 237
Resonant Gravity Wave DetectorsW.O. Hamilton Louisiana State UniversityContributors Bruce Pipes P.S. Nayar Tom Bernat Dale Darling David Blair Jarda Kadlec Bill Oelfke Tony Mann Warren Johnson Nadja Magalhaes Martin McHugh Ik Siong He
Caltech - PH - 237
Ph 237a: Gravitational Waves16 January 2001WEEK 2: THE MATHEMATICS UNDERLYING GENERAL RELATIVITY Recommended Reading: 1. Roger D. Blandford and Kip S. Thorne, Applications of Classical Physics [cited henceforth as "Blandford and Thorne"], availab
Caltech - PH - 237
Ph 237b: Gravitational Waves3 April 2002WEEK 11: PHYSICS UNDERLYING INTERFEROMETRIC GW DETECTORS Lectures 19 and 20 by ThorneReading Related to These Lectures:Items in bold are recommended; others are supplementary.1. Proper reference frame
Caltech - PH - 13
Application of Simulation to LIGO Interferometersx xWho am I? Matthew Evans, Ph.D. from Caltech on Lock AcquisitionWhat will I torture you with today? Part 1: Interferometer Simulation The Fabry-Perot Cavity Simulation Ingredients Systems i
Caltech - PH - 237
Application of Simulation to LIGO Interferometersx xWho am I? Matthew Evans, Ph.D. from Caltech on Lock AcquisitionWhat will I torture you with today? Part 1: Interferometer Simulation The Fabry-Perot Cavity Simulation Ingredients Systems i
Caltech - PH - 237
Ph237 - Gravitational Waves Week 1: OverviewKip S. Thorne, Caltech, 7 & 9 January 2001 Via video feed from Cambridge England1Physical Nature of Gravitational Waves - 1 Waves push freely floating objects apart and together Local inertial frame
Caltech - PH - 237
Ph 237b: Gravitational Waves29 May 2002WEEK 19: The Big-Bang Observatory, a Follow-On to LISA; and GW Detection in the ELF Band Using the CMB Polarization Lecture 35 Part 1 by William M. Folkner (JPL) [Big Bang Observatory] Lecture 35 Part 2 by M
Caltech - PH - 237
Ph 237a: Gravitational Waves WEEK 1: OVERVIEW Recommended Reading:9 January 2001Note: Almost all readings will be available for downloading on the web; the url will be given at the end of each reference. 1. Scott A. Hughes, Szabolcs Marka, Peter
Caltech - PH - 237
Ph 237a: Gravitational Waves6 March 2002WEEK 9: SUPERMASSIVE BLACK HOLES PHENOMENOLOGY & GW SOURCES; GWS FROM BIG BANG AMPLIFICATION BY INFLATION Lectures 15 by Phinney, and 16 by ThorneReading Related to Sterls Lecture: Not only are there no
Caltech - PH - 237
Ph 237b: Gravitational Waves8 May 2002WEEK 16: LIGO's Facility Limits; Techniques for LIGO-III Interferometers and Beyond; Resonant-Mass ("Bar") Gravitational-Wave Detectors Lecture 29 Part 1 by Kip [LIGO's Facility Limits] Lecture 29, Part 2 by
Caltech - PH - 237
Ph 237b: Gravitational Waves24 April 2002WEEK 14: LIGO as a Large Science Project; Quantum Optical Noise in Advanced LIGO Interferometers Lecture 25 by Barry Barish [LIGO-II as a Large Science Project]; Lecture 26, by Alessandra Buonanno and Yanb
Caltech - PH - 237
Ph 237b: Gravitational Waves1 May 2002WEEK 15: GW Detection by Doppler Tracking of Spacecraft and Pulsar Timing; LIGO Data Analysis Lecture 27 Part 1 by John Armstrong [GW Detection in LF Band by Doppler Tracking]; Lecture 27, Part 2 by Kip [GW D
Caltech - PH - 237
Ph 237a: Gravitational Waves6 February 2002WEEK 5: THE QUADRUPOLE FORMULA FOR GW GENERATION, PROPAGATION OF GWs THROUGH CURVED SPACETIME AND THE GW STRESS-ENERGY TENSOR Lectures 8 and 9 Recommended Reading: Note: All of this material is on the co
Caltech - PH - 237
Ph 237b: Gravitational Waves8 May 2002WEEK 16: LIGOs Facility Limits; Techniques for LIGO-III Interferometers and Beyond; Resonant-Mass (Bar) Gravitational-Wave Detectors Lecture 29 Part 1 by Kip [LIGOs Facility Limits] Lecture 29, Part 2 by Rona
Caltech - ETD - 05152005
1Chapter 1 IntroductionThe economic outcomes realized by a society are a function of the institutions put in place, the incentives they create, and the behavior of agents in the face of those incentives. In situations where a social planner or gov
Caltech - ETD - 03072006
39Part IIMachine Vision4041Chapter 5Attention for Object Recognition5.1 IntroductionObject recognition with computer algorithms has seen tremendous progress over the past years, both for specic domains such as face recognition (Schneid
Caltech - ETD - 05152005
Institutions, Incentives and Behavior: Essays in Public Economics and Mechanism DesignThesis byPaul J. HealyIn Partial Fulfillment of the Requirements for the Degree of Doctor of PhilosophyCalifornia Institute of Technology Pasadena, Californ
Caltech - ETD - 05262006
121C Analysis of Polyubiquitin Conjugates Reveals that the Rpn10 Substrate Receptor Contributes to the Turnover of Multiple Proteasome TargetsThe publication reprinted here represents the use of MudPIT for a complex mixture of low abundant polypep
Caltech - ETD - 05252006
Unification Of Quantum Information TheoryThesis by Anura AbeyesingheIn Partial Fulfillment of the Requirements for the Degree of Doctor of PhilosophyCalifornia Institute of Technology Pasadena, California 2006 (Defended May 23, 2006)c 2006 An
Caltech - ENG - 061206
Caltech Optical Observatories / NASA Jet Propulsion Laboratory Palomar Adaptive OpticsPalomar Adaptive Optics Test PlanTitleDate Lead Time requested Required conditionsLGS BGS Performance Optimization12/5/2006, V1.0 M. Troy 2 hr On sky with LG
Portland - MTH - 252
CALCULUS IISUMMER 2002ASSIGNMENT 04Exercises (Due Thurs. July 11)e e2(1) If1 e2ln x dx = 1 and1ln x dx = 1 + e2 , thenln x dx =e. 4 x(2) For what value of x is3f (t) dt sure to be 0? Answer:-2. .(3) Suppose-2f (x) dx
Portland - STAT - 243
Answer key to HW#52. No, the sum of the probabilities is less than one.8. = x p ( x) = 0 * 0.12 + 1 * 0.2 + 2 * 0.31 + 3 * 0.25 + 4 * 0.12 = 2.05x2= x p ( x) - = [0 * 0.12 + 1 * 0.2 + 2 * 0.31 + 3 * 0.25 + 4 * 0.12] - 2.05 = 1.40752
Portland - STAT - 243
Answer key to HW#22. The graph shows that the percentage of the people who receive their news by television is larger than the percentage of the people who receive their news by other means.PieChartofnewsCategory I N R T24.0% 32.0%20.0%24.0%
Portland - STAT - 243
Answer key to HW#42. a. ; b. 11/26; c. 1/52; d. 1/13; e. 1/28. a. P(5 or 6) = 4/36 + 5/36 = ; b. P(sum greater than 9) = 3/36 + 2/36 + 1/36 = 1/6; c. A sum less than 4 means 2 or 3, and greater than 9 means 10, 11, and 12; the probability is (1 +
Portland - STAT - 243
Answer key to HW#12. Probability deals with events that occur by chance. It is used in gambling and insurance. 4. A population is the totality of all subjects possessing certain common characteristics that are being studied. 10. a. 42.75 42.85 mile
Portland - STAT - 243
Answer key to HW#62. a. 0.4808 b. 0.4664 c. 0.9219 d. 0.0617 e. 0.6391 f. 0.0485 g. 0.0212 h. 0.8830 i. 0.9732 j. 0.9616 4. a. z = (45000 40000)/5000 = 1 and P(Z > 1) = .5 - .3413 = .1587 45000 40000 = 3 and P(Z > 3) = .5 - .4987 = .0013 b. z = 50
Portland - STAT - 243
Answer key to HW#32. Caribbean Sea: a. 4873.2 b. 436 c. None d. 21,431.5 e. 42,745 f. 128,516,864 g. 11,336.5 Mediterranean Sea: a. 3027.6 b. 1669 c. None d. 5006 e. 9840 f. 13,596,008.5 g. 3687.3 No; the islands in the Mediterranean Sea are smaller
Portland - STAT - 366
HW #5Consider the squid data again. A. Find the best model according to each of the criteria, Cp, stepwise, forward selection, and backward elimination with sle=.1 and sls=.1. B. Compute PRESS and adjusted R-Square for your best model according to e
Portland - STAT - 366
HW #2Five brands of automobile tires are being tested to evaluate their stopping distances (ft) on wet concrete surfaces. Four tires of each brand were mounted on a mid-sized sedan. The vehicle then accelerated to a speed of 60 mph and the brakes we
Portland - STAT - 366
HW #3 Suggested SolutionsWe first start with a simple linear regression model with no transformations. See the output in A: A. d1984 = 0 + 1*d1980 + .Anal y s i s Source Model Er ro r Cor rec t ed Tota l Root MSE DF 1 48 49 of Var i a nce Mean
Portland - STAT - 366
HW #3The data "election.txt" includes information on the percentages of votes for Democratic candidates for presidency in 1980 and 1984, respectively over 50 States. Data are recorded in the order of state, 1980 result, and 1984 result. To be more s
Portland - STAT - 366
HW #4Consider the squid data again. An experiment was conducted in order to study the size of squid eaten by sharks and tuna. The regressor variables are characteristics of the beak or mouth of the squid. The data are recorded in the order of X1: Ro
Portland - STAT - 366
1 372 582 683 824 1034 1094 1125 1345 1386 1547 189
Portland - STAT - 366
1 194.11 184.41 189.01 188.81 188.21 186.71 194.71 185.81 182.81 187.82 188.72 203.62 190.22 190.32 189.42 206.52 203.12 193.42 180.72 206.43 185.03 183.23 186.03 182.83 179.53 191.23 188.13 195.73 189.13 193.64 183.04
Portland - MTH - 261
Department of Mathematics & Statistics MTH 261 SYLLABUS, Introduction to Linear Algebra Textbook: 0 1 2 3 4 5 6 Linear Algebra: A Modern Introduction, 2nd Edition, David Poole.Sets and Functions (1 Week) Notes by Steve Bleiler and Bin Jiang Vectors
Portland - MTH - 261
Mth 261, Fall 2008 Homework Assignment 5 Solutions 4.1 #10. To show that = 4 is the eigenvalue of A = 0 4 show that it a root of its 1 5 characteristic polynomial. Namely, show that = 4 solves det 0 4 1 5 = 2 5 + 4 = 0.To nd an eigenvector corre
Portland - MTH - 261
MTH 261 SAMPLE FINALDo as many problems as you can or have time for. Try to do problems worth at least 100 pts. You are free to use a calculator by you must show your work. [20] 1. Let A be a n n matrix. Show that if A2 = O (such a matrix is calle
Portland - MTH - 261
Mth 261, Fall 2008 Homework Assignment 3 Solutions 2.3 #2. One way to determine if the vector v = [2, 1] is a linear combination of vectors u1 = [4, 2] and u2 = [2, 1] is to realize that the two latter vectors are linearly dependent. Therefore, v is
Portland - MTH - 261
Mth 261, Fall 2008 Homework Assignment 2 Solutions 1.3 #24. As the new plane is to be parallel to 6x y + 2z = 3 its normal vector n = [6, 1, 2] is normal to it as well. In addition, the plane is to pass through the point p = (0, 2, 5). Thus , the no
Portland - MTH - 322
Mth 322 Spring 2008 Midterm SOLUTIONS 1. Use the method of characteristics to construct the xt-diagram representation of the d'Alembert solution to the following semi-infinite string problem: utt = uxx , 0 u(x, 0) = 1 0 ut (x, 0) = 0, Identif
Portland - MTH - 261
Mth 261, Fall 2008 Homework Assignment 8 Solutions 5.3 #2. Find an orthogonal and then an orthonormal basis of W = span 3 3 , 3 1 .3 . The second vector can be obtained by 1 projecting the rst vector of the spanning set onto the rst vector of the b
Portland - MTH - 624
Mth 624, Advanced Dierential GeometryHomework 31. Let D be a smooth distribution on a dierentiable manifold M . Assume that through each point of M there passes an integral manifold (of maximal dimension) of D. Show that D is involutive. Hint: Rem
Portland - MTH - 510
An Introduction to Applied Partial Differential Equations Marek El anowski zProblems 3 1. Use characteristics to construct an xt-diagram representation for the d'Alembert solution of utt = uxx , 0 < x < , t > 0, (1) u(x, 0) = 1, 0 < x < 1, 0, otherw
Portland - MTH - 510
An Introduction to Applied Partial Dierential Equations Marek El anowski zProblems 1 1. Use the Greens function method to solve the following boundary value problems: (a) u = f (x), 0 < x < 1, u(0) = a, u(1) = b, u(1) + u (1) = 0,(b) (u + u) = f (
Portland - MTH - 451
<!DOCTYPE html PUBLIC "-/W3C/DTD XHTML 1.0 Transitional/EN" "http:/www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http:/www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head><title>Page Not Found</title><!- ULTIMATE DROP DOWN MEN
Portland - MTH - 451
<!DOCTYPE html PUBLIC "-/W3C/DTD XHTML 1.0 Transitional/EN" "http:/www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http:/www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head><title>Page Not Found</title><!- ULTIMATE DROP DOWN MEN
Portland - MTH - 488
<!DOCTYPE html PUBLIC "-/W3C/DTD XHTML 1.0 Transitional/EN" "http:/www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http:/www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head><title>Page Not Found</title><!- ULTIMATE DROP DOWN MEN
Portland - MTH - 252
CALCULUS II SUMMER 2002 IN-CLASS ASSIGNMENT DExercises SIMPLIFY ALL ANSWERS. Unless the contrary is stated GIVE EXACT ANSWERS-NOT DECIMAL APPROXIMATIONS.17 8 1 8 2(1) Suppose that17 -10f = 3,2 1 -7f = 7,-3 -7f = -1,-3f = 4,-1f=5
Portland - ME - 352
for LoopsME 352, Fall 2007page 1/3A Quick Introduction to Loops in MatlabLoops are used to repeat sequences of calculations. In Matlab, loops can be implemented with a for .end construct or a while .end construct. In terms of their ability to
Portland - ME - 352
Flow ControlME 352, Fall 2008page 1/4Flow Control in Matlab 1 OverviewFlow control allows computer codes to operate under circumstances with variable inputs and parameter ranges. In short, flow control allows the code to "make choices" during