Download ppt on measures of dispersion

Reproductive Biology of the Endangered Shrub, Fremontodendron californicum subsp. decumbens, and its Conservation Implications Robert Boyd Department of.

Most under canopy/at canopy edge Focus on seed dispersal Survival higher away from canopy Focus on seed dispersal Why? 1) Rodent predation greater under canopy Focus on seed dispersal Why? 2) Dispersed more likely near opening created by death of shrub Many chaparral shrubs re-sprout after fire, including Fremontodendron Resprouting Fremontodendron Focus on seed dispersal Measure distance each seedling to nearest: –Re-sprouting shrub –Dead/


Transverse Emittance and Energy Spread Measurements for IFMIF-EVEDA C. OLIVER Contributors: P. A. Phi NGHIEM, C. Marolles ABI Workshop on Emittance Diagnostics.

. December, 11th 2008 Workshop on Emittance Diagnostics 21 1.Interceptive techniques: slits, pepper-pot masks –Performed in a dispersive location –Spatial and energetic contribution is separated 2.Non-interceptive technique: –Measurement of the beam size in a dispersive section –If emittance contribution is negligible compared to dispersion contribution: –Way to continuously verify that energy spread is below the requirement –Maximum energy resolution for small beam/


21 Measures of Dispersion Case Study

ungrouped and grouped data, we can use a calculator to find the mean and the standard deviation. 21.3 Standard Deviation The following table summarizes the advantages and disadvantages of the three different measures of dispersion. Measure of dispersion Advantage Disadvantage 1. Range Only two data are involved, so it is the easiest one to calculate. Only extreme values are considered which may give a misleading impression/


Chromatic Dispersion Measurement methods  Pulse Delay Method (time-of-flight) ‏ IEC 60793-1-42 / ITU-T G650.1 EIA/TIA-455- FOTP-175-B  Phase Shift Method.

in the market (approved method) ‏  Provides direct measurement of Chromatic Dispersion  Accurate measurements  Higher dynamic range: 55 dB (with 0dB laser power) ‏  High repeatability  Can measure over non-bi-directional components (EDFA, filters…) ‏ Differential Phase Shift Method Drawbacks  The phase of the pulse is sensitive to temperature, dispersion value, modulation frequency and wavelength step. The combination of the modulation frequency, dispersion and the wavelength step can result in a/


Brian Kinlan UC Santa Barbara Integral-difference model simulations of marine population genetics.

IBD Slope to Measure Dispersal Palumbi 2003 (Ecol. App.) -Simulations can predict the isolation-by-distance slope expected for a given average dispersal distance (Palumbi 2003 Ecol. Appl., Kinlan and Gaines 2003 Ecology) Palumbi 2003 - Simulation Assumptions Palumbi, 2003, Ecol. App. 1. Kernel 3. Effective population size 2. Gene flow model N e = 1000 per deme Linear array of subpopulations Probability of dispersal Distance from source/


Measures of Dispersion

data values is. Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc.. Measures of Dispersion Variation Standard Deviation Coefficient of Variation Range Variance Measures of variation give information on the spread or variability or dispersion of the data values. Same centre, different variation Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc.. Measures of Dispersion: The Range Simplest measure of dispersion Difference between the largest and the smallest values: Range = Xlargest – Xsmallest/


Does Performance Pay Increase Wage Inequality? Mark Bryan (ISER, University of Essex) Alex Bryson (NIESR and CEP) NIESR Workshop 26th June 2014, London.

inequality in top half. The above for broad PP. Preliminary estimations suggest similar results for narrow PP. Effect of PP on wage dispersion 27 Conclusions PP receipt falls for women and is stable for men between 1998 and 2008  True for broad and narrow measures of PP  Robust to controls for demographic and job traits Positive selection into PP on ability (observed and unobserved/


Understanding Wage and Productivity Dispersion in the United Kingdom by Giulia Faggio, Kjell G. Salvanes and John Van Reenen Preliminary.

about skills, gender and part- time/full-time workers at the firm level. Increased wage dispersion might be due to: Changes in the composition of workers in the firm Higher female participation Larger share of part-time workers –We use remuneration instead of hourly wages –Analysis of TFP: we do not measure all inputs properly –Using employer-employee data on Norway we can deal with some/


Chemical, biological and physical reaction in engineered systems usually take place in "reactors". Reactors represent some sort of containment that physically.

in x ( i.e., a measure of the Gaussian profiles spread in the x dimension- symmetrically on either side of the peak - at a fixed time) [L2]. By anaolgy to the C(x’,t) expression: In other words if we measure the spread (standard deviation) of the response curve (of a spike input) we should be able to compute the dispersion coefficient for the reactor. There are/


The surface profiles in Grenoble area determined by the MASW measurements Seiji Tsuno, Cecile Cornou, Pierre-Yves Bard (LGIT) QSHA meeting, 1/Juin/2007,

in Grenoble area Dispersion of Rayleigh waves - Sedimentary basin - Measurement by LGIT Measurement by BRGM Wave length of Rayleigh waves - Sedimentary basin - Measurement by LGIT Measurement by BRGM Dispersion and Wave-length of Rayleigh waves - Rock site - Dispersion curve Wave-length Dispersion and Wave-length of Love waves - Rock site - Dispersion curve Wave-length Dispersion and Wave-length of Rayleigh waves - Microtremors - Dispersion curve Wave-length Comparison of wave-lengh of observation with ESG/


Test Equipment and Measurements

thus expensive instrumentation Key instrument specifications: 0.05 to 80 ps range Short measurement time, < 30 s Accurate to 1% High dynamic range, 50 dB NetTest PMD 440 PMD Analyser Measuring Chromatic Dispersion Number of different techniques, phase shift method is one of the best Very important for DWDM systems, Impact of chromatic dispersion rises with bit rate and channel count Key instrument specifications: 1310 nm and/


12.3 – Measures of Dispersion

?         75% 88.9% Coefficient of Variation 12.3 – Measures of Dispersion Coefficient of Variation The coefficient of variation expresses the standard deviation as a percentage of the mean. It is not strictly a measure of dispersion as it combines central tendency and dispersion. For any set of data, the coefficient of variation is given by for a sample or for a population. Example: Comparing Samples 12.3 – Measures of Dispersion Coefficient of Variation Example: Comparing Samples Compare/


Art & Science of Continuous Emissions Monitoring Systems www.isa.org mip.cemtrex.com.

.com Analytical Common Species Methods –––––––––––––––––– Sulfur Dioxide NOx CO Oxygen Ammonia Mercury H2S CO2 VOC’s SO2 www.isa.org mip.cemtrex.com Sulfur Dioxide One of the most common combustion processes measurements inmeasurements inall MethodTechniqueTechnologyAdvantagesAdvantagesDisadvantages Non-Dispersive Infrared (NDIR) Hot Wet ex-situ Cold dry ex-situ In-situ Beer Lambert Law Filter photometer Simple, proven, Cost-effective Multi-component Interference (water/


INSTRUMENTAL ANALYSIS CHEM 4811

energy) and matter (molecules, atoms, or ions) Spectrometry - Quantitative measurement of the intensity of one or more wavelengths of radiant energy Spectrophotometry - The use of electromagnetic radiation to measure chemical concentrations (used for absorption measurements) DEFINITIONS Spectrophotometer - Instrument used for absorption measurements Optical Spectrometer - Instrument that consists of prism or grating dispersion devise, slits, and a photoelectric detector Photometer - Instrument that uses a/


1. TASK FORCE COMBAT HEALTH SUPPORT GUIDE TABLE OF CONTENTS PAGE Chapter 1 TACTICAL DECISION MAKING, MISSION ANALYSIS, 4 & TROOP LEADING PROCEDURES Chapter.

strongpoint is considerably different from that for a sector defense. Battle positions and strongpoints are restrictive measures which limit maneuver. Reduced dispersion will create shorter interval evacuation lines and a more centralized, controlled medical operation. The reduced dispersion also creates increased risk of high casualty rates. Evacuation out of a BP or strongpoint may be difficult or temporarily impossible. c. Covering Force Support. (1) Problem/


NC STATE UNIVERSITY Rafael Lugo, Robert Tolson Department of Mechanical and Aerospace Engineering North Carolina State University, Raleigh, NC and Robert.

satisfy redundant data provide updated initial conditions, IMU error parameters, and covariance 8 Initial conditions IMU error parameters Statistical analysis of Landing location FADS pressures Altimetry Measurement space Representative of true and unknowable ICs, IMU parameters, and uncertainties NC STATE UNIVERSITY INSTAR Results: IC & IMU Dispersions 9 Dispersed initial state to within given uncertainties, 10,000 cases (Gaussian distribution), 26 valid trajectories within 150 m/


Searching for Quantum LOVE at the Australian Synchrotron Light Source Eugene Tan On behalf of Rohan Dowd 120/10/2010Eugene Tan – IWLC 2010, Genega ASLS.

LOCO (Linear Optics from Closed Orbits) Adjusts the linear parameters in the model to fit real machine data. Data used: corrector orbit response and dispersion response. Model response – Measured machine response = Error Minimise error by adjusting a set of model parameters. Fit Parameters normally include: – BPM/Corrector gains and coupling – Corrector gains and coupling – Quadrupole strengths – Skew Quadrupole strengths 20/10/20107Eugene Tan/


 Chapter 7 Components of Optical Instruments. Instruments for the ultraViolet (UV),ViSible, and infrared (IR) regions have enough features in common.

is replaced with a large aperture that holds a detector or transducer that is continuously exposed tn the entire spectrum of dispersed radiation. spectrometer :is an instrument that provides information about the intensity of radiation as a function of wavelength or frequency. PRINCIPLES OF FOURIER TRANSFORM OPTICAL MEASUREMENTS 7I Fourier Transform (FT) The instruments we have been talking about work over the frequency domain (we are/


Measuring Risk in Business and Economics: Possibility of Loss or Dispersion of Outcomes? Shyam Sunder, Yale University Sixth International Conference on.

probability distribution above the mean or above zero is not included in this meaning of risk Dispersion Meaning of Risk Dispersion of a probability distribution is a measure of how far apart or dispersed the outcomes are. Variance is one measure of dispersion (also, standard deviation, etc.) Which bet is more risky in this sense? – Win $1 or lose $1 on a coin toss – Win $10 or lose $10 on a/


Avian mobility CHAPTER 4. Avian dispersal Definition of dispersaldispersal’ refers to movements that, at the population level, have no fixed direction.

which populations can differentiate) Avian dispersal Definition of dispersal ‘natal dispersal’: measured by the linear distances between natal and first breeding sites ‘breeding dispersal’: measured by the distances between the breeding sites of successive years ‘non-breeding dispersal’: measured by the distances between the wintering sites of successive years natal dispersal generally involves much larger distances than the other types Avian dispersal Definition of dispersal species generally form pairs on/


Role of Accounting in Managing Risk Shyam Sunder JAPP Conference on Accounting and Risk Management LSE, IE Business School and Univ. of Maryland College.

&P ratings define credit risk as likelihood of default and associated financial loss No mention of dispersion of outcomes or concave Bernoulli functions Fisher 1959: Chances of default and marketability of bonds explained 75% variation in yield Altman 1989: Realized yields net of defaults increase with lower rating for all except B and CCC bonds; not explained by dispersion measure of risk Empirical Failure of EU48 Moody’s Ratings(2012, p/


Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Reactors The Case of the Chlorine Contact Tank 

upstream  “dead volume” volume flow rate = ? Peclet Number  Ratio of advection to dispersion  how far does advection carry the fluid/width of tracer plume  High Peclet means primarily advection (_______________)  Low Peclet means lots of mixing plug flow Characterize a Tank: Tracer Studies  Tracers  Desirable properties  Candidates  Measuring techniques  Choosing a tracer concentration  Measurement range  Interferences  Density matching  Pulse vs. Step Requires design calculations! Crucial/


Status of very high priority beam tuning software Special ATF2 project meeting, Korea, 1 st October 2008 Cécile Rimbault, on behalf of High Priority task.

sources (from ring.. QM7...)‏ –Consider mis-matches from ring Include beta matching procedure in sim Look further at 2 skewQ performance. Consider alternate approaches –Single-step coupling correction? –Alternate method of dispersion measurement (without ring E-ramp)? FFS Orbit-Steering Goal: to provide initial orbit steering in FFS and maintain with FB Several orbit-steering methods have been developed and are ready for/


CLIC programme at FACET Update on CERN-BBA A. Latina, J. Pfingstner, G. De Michele, D. Schulte (CERN) E. Adli (Univ. of Oslo), J. Resta Lopez (IFIC) In.

16 (12am-8am) 8 hours Our program: 0) preparation 1)commissioning of our new software for the on-line; orbit response measurement (SYSID) 2)dispersion response measurement and orbit control excitation (SYSID+ 1:1 steering) 3)orbit correction and dispersion correction (take proof-of-principle plots) (BBA) 4)orbit correction and dispersion correction with emittance measurement (BBA+emittance measurement) 9 SCP, SLAC Control Program SLC, SLAC Linac facet_getMachine(); facet_setMachine/


Tests of Dispersion-Free Steering at FACET (CERN-BBA) A. Latina, J. Pfingstner, D. Schulte (CERN) E. Adli (Univ. of Oslo/SLAC) In collaboration with: F.J.

16 (12am-8am) 8 hours Our program: 0) preparation 1)commissioning of our new software for the on-line; orbit response measurement (SYSID) 2)dispersion response measurement and orbit control excitation (SYSID+ 1:1 steering) 3)orbit correction and dispersion correction (take proof-of-principle plots) (BBA) 4)orbit correction and dispersion correction with emittance measurement (BBA+emittance measurement) 11 SCP, SLAC Control Program SLC, SLAC Linac facet_getMachine(); facet_setMachine/


1 Lattice Measurement Jörg Wenninger CERN Accelerators and Beams Department Operations group May 2008 CERN Accelerator School : Beam Diagnostics, 28 May.

, France Acknowledgements : A. S. Müller, P. Castro Introduction / I 2 This lecture is an introduction to the most commonly used methods to measure the key parameters of an accelerator lattice. The lattice parameters that will be covered are :  Dispersion function  Twiss parameters: –Betatron function , –Phase advance , –Betatron function dericative  = (1+d  /ds)/2. The errors on  and  are frequently referred to as/


12.3 – Measures of Dispersion Dispersion is another analytical method to study data. Two of the most common measures of dispersion are the range and the.

below have the same mean and median (7). Find the range of each set. Range of Set A: 12.3 – Measures of Dispersion Range 13 – 1 =12 Range of Set A:9 – 5 =4 One of the most useful measures of dispersion is the standard deviation. 12.3 – Measures of Dispersion Standard Deviation It is based on deviations from the mean of the data. Find the deviations from the mean for all data values/


Introduction to R, Statistics, and the grammar of graphics Thomas INGICCO E. Delacroix, Dante et Virgile aux Enfers E. Delacroix, Dante and Virgile in.

independant, then the covariance is equal to 0 Descriptive and inferential statistics Position parameters: Mean Mode Mediane Dispersion parameters: Standard deviation Variance Maximum Minimum Coefficient of variation Covariance Coefficient of correlation Covariance measures the degree of dependance of two variables: Are the values of each measurement drift independantly away from the centre of gravity, or are they drifting away together? If x and y are independant, then the covariance/


11 Components of Optical Instruments Lecture 5. 22 Spectroscopic methods are based on either: 1. Absorption  2. Emission  3. ScatteringX (Inst A. B)

well in both UV and Vis. - It should also be appreciated that the dispersion of a prism is nonlinear since it is dependent on wavelength. (Dispersion increases for shorter wavelength) 37 - Prisms are very good wavelength selectors in the / accelerated to other more positive dynodes and thus huge amplification of signal results (~10 6 electrons for each photon). 94 95 96 Disadvantages: -Photomultiplier tubes are limited to measurement of low radiant power radiation since high radiant powers would damage the/


Descriptive Statistics (Part 1) Chapter44 Numerical Description Central Tendency Dispersion McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies,

a 16% trimmed mean to mitigate the effects of extremes in its analysis of the Consumer Price Index. 4A-43 Variation is the “spread” of data points about the center of the distribution in a sample. Consider the following measures of dispersion:Variation is the “spread” of data points about the center of the distribution in a sample. Consider the following measures of dispersion: StatisticFormulaExcelProCon Rangex max – x min =MAX(Data)- MIN/


Introduction Reaction-dispersion fronts can be applied to many physical and biological systems 1 (population dispersals, combustion flames, tumor growth,

use an evolution equation for the population density p(x,y,t), Mathematical Model Dispersion kernels (1) Assess how the use of different dispersion kernels may modify the speed of the propagating front. Apply dispersion kernels obtained from real dispersion data on human populations 3 and check the consistency of the results with the measured front speed for the Neolithic transition. The logistic growth 4 is well-known/


DATA IDENTIFICATION AND ANALYSIS. Introduction  During design phase of a study, the investigator must decide which type of data will be collected and.

in the sample. Measures of dispersionMeasures of dispersion In a normal distribution  68% of individuals will fall between –1 and +1 SD  95% of individuals will fall between –2 and +2 SD  99% of subjects will fall between –3 and +3 SD. Measures of dispersionMeasures of dispersion  The standard deviation is related to the variance.  The standard deviation is the square root of the variance Measures of dispersionMeasures of dispersion  The normal distribution of large samples (>30/


Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss High resolution COSMO runs for dispersion applications.

Validate turbulence characteristics from the COSMO model To use: turbulence measurement campaign (LITFASS-2003) Validate simulated concentrations To use: tracer experiment (TRANSALP) 5 High resolution COSMO runs for dispersion applications in complex terrain Balázs Szintai (balazs.szintai@meteoswiss.ch) LITFASS-2003 Measurement campaign conducted in the area of Lindenberg Main goal: measurement of turbulent fluxes in an inhomogeneous terrain Case study: 2003-05-30 : convective/


Measuring, Modeling, and Computing Resonances in Excited Vibrational States of Polyatomic Molecules William F. Polik Department of Chemistry Hope College.

in Excited Vibrational States of Polyatomic Molecules William F. Polik Department of Chemistry Hope College Holland, MI, USA Outline Background MeasurementDispersed Fluorescence Spectroscopy –H 2 CO, HFCO, and D 2 CO Results Modeling –Anharmonic Multi-Resonant Hamiltonian –Polyad Quantum Numbers Computation –Spectroscopically Accurate Calculations Applications BACKGROUND Potential Energy Surfaces The PES is a description of total molecular energy as a function of atomic arrangement Chemical/


Figure 8.Color map of the geometric correction along the dispersion axis for segment A. Figure 4. Measured distortions for all PSA positions for segment.

B. This provided us a better sampling than what was previously obtained with the slit/pinhole masks. The measured geometric distortions in the dispersion (X) and the cross-dispersion directions (Y) are shown in Figures 4 and 5. As can be seen by the histogram distribution of the identified line separations in Figure 6, we obtained a good sampling over the whole detector. Since/


STATISTICS “CALCULATING DESCRIPTIVE STATISTICS –Measures of Dispersion” 4.0 Measures of Dispersion.

DESCRIPTIVE STATISTICS –Measures of Dispersion” 4.0 Measures of Dispersion Measures of Dispersion – Describe how far individual data values have strayed from the mean (average) – The ways to measure the dispersion of our data are range, variance (sample & population) and standard of deviation. 3.0 Measures of Dispersion RANGE 1.The simplest measure of dispersion and is calculated by the difference between the highest value and the lowest value in the data set. 2.The range of a sample is/


Copyright © 2014 by Nelson Education Limited. 3-1 Chapter 3 Measures of Central Tendency and Dispersion.

Copyright © 2014 by Nelson Education Limited. 3-12 Variation Ratio (v) is one of only a few measures of dispersion for nominal-level variables. v provides a quick, easy way to quantify dispersion. Variation Ratio is simply the proportion of cases not in the modal category. That is: v has a lower limit of 0.00 (no variation/all cases are in the mode) and increases to/


TRADOC DCSINTTSP FM 7-100.1, Chapter 9, Air Defense Support Previous SlideStart of Presentation 1 The proponent for this Training Support Package is HQ.

zones. Additionally, the OPFOR makes extensive use of passive air defense measures, including C 3 D, maneuver, and dispersal throughout the support zone. Movement. The OPFOR /of dispersion is that the enemy attack should not destroy two adjacent units simultaneously. A maximum of one-third of a unit should be vulnerable to a single precision weapon attack. TRADOC DCSINTTSP FM 7-100.1, Chapter 9, Air Defense Support Previous SlideStart of Presentation 55 Other Survivability Measures 9-108. Other measures/


Emittance Measurements and Related Experimental Results 15th ATF2 Project Meeting, January 24 2013M. Woodley1/44.

KEX1 steers vertically? inferred roll is ~100 mrad (!) … or something else? 15th ATF2 Project Meeting, January 24 2013 M. Woodley20/44 BS3X Skew Quadrupole (?) Issues: origin of observed anomalous vertical dispersion in EXT/FF? – measured vertical dispersion in DR at extraction point is small we have had problems with BS3X in the past – BS3X had to be physically rolled ~ -4 mrad (March 17, 2010/


Descriptive Statistics. Outline of Today’s Discussion 1.Central Tendency 2.Dispersion 3.Graphs 4.Excel Practice: Computing the S.D. 5.SPSS: Existing Files.

would be Max - Min = 9 - 2 = 7 units. 3.Sometimes, rather than reporting the range, researchers will simply report the Max & Min scores. Dispersion 1.Now, let’s consider the standard deviation, which is the most commonly used measure of dispersion (i.e., the counterpart to the mean). 2.Potential Pop Quiz Question: What information does the standard deviation provide, in your own words/


Development of high resolution Micro-Pattern Gas Detectors (MPGD) with wide readout pads Madhu Dixit TRIUMF & Carleton University Saha Institute for Nuclear.

22 Scan across width Ionization from 50  m collimated x-ray spot. 2x6 mm 2 pads PRF – is a measure of signal amplitude as a function of cluster position. (Ar+10%CO2) 22 January 2010 Madhu Dixit 17 Charge dispersion signal for a GEM Simulation versus measurement (Ar+10%CO2) (2 x 6 mm 2 pads) Collimated ~ 50  m 4.5 keV x-ray spot/


THERMAL AND CHEMICAL TECHNOLOGIES OF NONWOVENS PRODUCTION Klára Kalinová Katedra netkaných textilií - 2006 -

of melting point temperature and the heat of melting; measurement of the glass transition temperature; curing and crystallization studies; and identification of phase transformations. To determine specific heat capacity, a baseline is established by measuring the temperature difference of/separated. Coagulation methods 1. Removing water by evaporation 2. Freezing of dispersion 3. Change in acidity 4. Creating of non-dissociating salts 5. Using of thermosensibilizers 3. 4. 5. WEB FORMING METHODS Wet-laid /


27 - 05 - 2010. Deliverable : Deliverable Contractual Date:31-12-2009 Actual Date:Grant Agreement No.:238875Activity: JRA1Task Item:T2Nature of Deliverable:R.

the order in which specific fibre types are traversed [136]). Different fibre types (standard single - mode fibre, dispersion - shifted fibre, dispersion - compensated fibre, etc.) respond very differently to non - linear impairments. A full treatment of non - linear constraints would be likely to require very detailed knowledge of the physical infrastructure, including measured dispersion values for each span, fibre core area and composition, as well as knowledge/


Introduction Dispersion 1 Central Tendency alone does not explain the observations fully as it does reveal the degree of spread or variability of individual.

unduly affected by extreme observations. 5.Should be capable for further algebraic treatment. Dispersion Absolute Measure of dispersion expressed in the same unit in which data of series is given Relative Measure of dispersion expressed in the percentage or ratio. It is also called coefficient of dispersion. Methods of Measurement Dispersion 4 Individual series There are 3 main methods of dispersion- 1.Range 2.Interquartile range and quartile deviation 3.Mean Deviation Range-It is/


QUANTITATIVE ANALYSIS the process of presenting and interpreting numerical data. Descriptive statistics include measures of central tendency (averages.

xiii] Std dev = 10.23 To be interpreted by looking at the range of the distribution Range = 31 – 1 = 30 (theoretical range = 100) CountryValue (%)Switzerland24 France23 Japan12 Cuba31 Guatemala11 USA23 China1 Descriptive stats: central tendency and dispersion [xiv] Two measures of distribution peakedness (kurtosis) symmetry/skewness Descriptive stats: central tendency and dispersion [xv] LeptokurticPlatykurtic Mesokurtic Negatively skewed Positively skewed Symmetrical Descriptive stats: central tendency and/


J. Rudolph, Helmholtz-Zentrum Berlin EuCARD SRF Annual Review 2010 Bunch Length Measurements and Status of the Slice Diagnostics System for ELBE / SCRF.

and reaches 0.4 m @ spectrometer screen  “Alternative 2”: dispersion rises at chicane dipole and is lowered by spectrometer (depends on slope of dispersion)  dispersion non-zero @ spectrometer slit “Alternative 1” “Alternative 2” 18 Bunch Length Measurements and Slice Diagnostics System for ELBE / SCRF Gun Comparison of alternative setups: dispersion and beta functions... continued scanning quad  “Alternative 4b”: dispersion closed after arc for zerophasing, rising again at spectrometer/


27 - 05 - 2010. Deliverable : Deliverable Contractual Date:31-12-2009 Actual Date:Grant Agreement No.:238875Activity: JRA1Task Item:T2Nature of Deliverable:R.

the order in which specific fibre types are traversed [136]). Different fibre types (standard single - mode fibre, dispersion - shifted fibre, dispersion - compensated fibre, etc.) respond very differently to non - linear impairments. A full treatment of non - linear constraints would be likely to require very detailed knowledge of the physical infrastructure, including measured dispersion values for each span, fibre core area and composition, as well as knowledge/


Studies of emittance preservation methods and the status of their experimental validation Erik Adli 1, W. Farabolini 2, Reidar Lillestol 1, Jürgen Pfingstner.

the beam orbit b. Considering many BPMs and quadrupoles leads to linear system of equations [4]: DFS is applied to overlapping sections of the accelerator (36 for ML of CLIC). η 0 especially important for ILC: dispersion by design Before correctionAfter 3 iterationsAfter 1 iteration Beam profile measurement DFS verification at FACET/SLAC Emittance artificially increased (March 2013) Emittance fully recovered x: 43.2x10 -5 m/


The Challenges of Ultra-low Emittance Damping Rings David Rubin September 6,2011 IPAC2011 – San Sebastian, Spain.

) - BPM tilt < 10mrad We have beam based techniques for calibrating gain variation based on turn by turn position data Determining tilt from coupling measurements We are exploring a tuning scheme that depends on measurements of the normal modes of the dispersion rather than the horizontal and vertical and that is inherently insensitive to BPM button gain variations and BPM tilts. Low Emittance Tuning September 6/


ARC Special Research Centre for Ultra-Broadband Information Networks Control of Optical Fibre Communications Networks Peter Farrell.

Link with OADM Tx Rx DisCo Tx Rx DisCo OADMOADM OADM X All Optical Network Tx Rx Tx Lots of Feedback Loops …Amplifier Issues –Measurement accuracy –Signal reduction –Transient response Feedback & Control Lots of Feedback Loops … Dispersion Compensator Issues –Location –Accuracy –Signal reduction Dispersion Compensator Dispersion Measurement Lots of Feedback Loops … Pre-emphasis Shares OSNR, BER or received power equally among channels by adjusting transmit power with time/


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