Experimental Studies of Quasi-fission Reactions. B.B.Back, B.G.Glagola, D.Henderson, S.B.Kaufman, J.G.Keller, S.J.Sanders, F.Videbaek, and B.D.
|
|
- Myles Tucker
- 5 years ago
- Views:
Transcription
1 Expermental Studes of Quas-fsson Reactons The submtted manuscrpt hs been authored by a contractor o the U. S. Government under contract No. W ENG-3B. Accordmglv. the U. S- Government retans a nonexclusve, royally free lcense to publsh or reproduce the publshed lorm o ths contrbuton, or allow olhe's to do so. for U S. Government purposes. B.B.Back, B.G.Glagola, D.Henderson, S.B.Kaufman, J.G.Keller, S.J.Sanders, F.Vdebaek, and B.D.Wlkns Argonne Natonal Laboratory, Argonne, IL 6439 CONP DE Paper to be presented at Wnter Workshop on Nuclear Dynamcs V Sun Valley, Idaho February 22-26, 1988 DISCLAIMER Ths report was prepared as an account of work sponsored by an agency of the Unted State* Government. Nether the Unted States Government nor any agency thereof, nor any of ther employees, makes any warranty, express or mpled, or assumes any legal lablty or responsblty for the accuracy, completeness, or usefulneu of any nformaton, apparatus, product, or process dsclosed, or represents that ts use would not nfrnge prvately owned rghts. Reference heren to any specfc commercal product, process, or servce by trade name, trademark, manufacturer, or otherwse does not necessarly consttute or mply ts endorsement, recommendaton, or favorng by the Unted States Government or any agency thereof. The vews and opnons of authors expressed heren do not necessarly state or reflect those of the Unted States Government or any agency thereof.
2 Expermental Studes of Quas-fsson Reactons B.B.Back, B.G.Glagola, D.Henderson, S.B.Kaufman, J.G.Keller, S.J.Sanders, F.Vdebaek, and B.D.Wlkns Argonne Natonal Laboratory, Argonne, IL 6439 In recent years, a number of expermental studes have shown that a substantal fracton of the total reacton cross secton s found n fsson-lke processes, whch do not result from the fsson decay of a completely fused system. Smlar to the quas-fsson process predcted by Swateck these reacton products have total knetc energes typcal of those found n the fsson decay of compound nucle but may be dstngushed from compound fsson products on the bass of ther angular and mass dstrbutons. The quas-fsson products also exhbt substantally more net mass transfer than seen n deep nelastc scatterng. Thus, the quas-fsson processes can be vewed as brdgng the gap between complete fuson and deep nelastc scatterng n heavy systems. A large body of expermental data on these fsson-lke processes have become avalable n recent years usng a number of dfferent target-projectle combnatons. None of these expermental studes are specfcally addressng the queston of entrance channel effects. These effects are expected to play an mportant role f the dynamcs n the approach phase of the reacton s responsble for the occurrence of quas-fsson. An alternate nterpretaton n terms of the dsappearance of the fsson barrer at large partal waves, whch s entrely a property of the completely fused system ndependent of the formaton process, has also been proposed. In order to address these questons we have studed the system Th va three dfferent entrance channels, namely 32 S+ 182 W, 48 TH- 166 Er and 6 N+ 154 Sm. The analyss of the T+ Er data s, as yet, ncomplete and we shall therefore report only on the results of the 32 S+ 182 W and 6 N+ 154 Sm reactons n ths paper. The experments were carred out at the ATLAS faclty at Argonne usng beams of 136, 177, 222, and 26 MeV 32 S and 339, 39, and 421 MeV 6 N. Sngles reacton products were measured n an array of eght S surface barrer detectors over the angular ranges of, K=1-17 and 6, t=l - 9 for the nn f*n led ISLO S and N beams, respectvely. Fragment masses were deduced from the measured energy and flght-tmes after applyng sutable correctons for the pulse heght defect and plasma tme delay assocated wth the detecton of heavy ons n S-detectors.
3 In the Fsson decay of a compound nucleus t s expected that the mass dstrbutons are symmetrc around half the total mass of the system rrespectve of the center-of-mass angle at whch t s measured. Any devaton from ths symmetry therefore may be taken as a clear ndcaton that noncompound reactons contrbute to the measured mass dstrbutons. In Fg. 1 we show the angular dependence of the mass centrods for fsson-lke products 9 on from the S+ W reacton at four dfferent bombardng energes. At the two lowest bombardng energes, Ej ab =166, 177 MeV, the mass dstrbutons are clearly centered at half the total mass at A=17 at all angles, as expected for compound nucleus decay. At the two hgher energes, E Jab =222, 26 MeV, there appears, however, to be a weak preference for heaver fragments to be emtted at forward angles (and lghter fragments at backward angles). Ths trend s, however, very weak and may well be of nstrumental orgn,.e. nadequate correctons for the energy and tme response of S detectors to heavy ons. A devaton from the expected behavor for compound fsson would, however, be consstent wth the fact that partal waves for whch the fsson barrer has vanshed (t> r^e_. Q =65 h) contrbute to the fsson-lke cross secton at these beam energes. In the N+ Sm reacton we observe a strong component of non-compound fsson-lke reacton products. In Fg. 2 we show the angular dstrbutons for fragments belongng to dfferent mass bns for the beam energy of Ej 1 = :1O S + 26 MeV H- llr MeV T77MeV F 8-1: Angular dependence of the centrods MeV. The mass bn A = of the fragment mass dstrbutons are correspondng to symmetrc mass splts s 15 - L L 166 MeV 3 6 c. m (deg) shown for the "s+ lm W reacton - strctly forward-backward symmetrc as requred for bnary ext channels. Gong to lghter fragment masses we fnd a progressvely stronger preference for emsson at forward angles. Ths behavor s nconsstent wth the bnary decay of a compound system and t shows that the reacton tme s shorter or
4 comparable to the rotatonal perod of the nteracton complex. The sold curves are calculated on the bass of the standard formalsm for fsson angular dstrbutons. The angular asymmetry s acheved by multplyng the standard expresson wth an exponental functon such that the full expresson s Z 21*1 P I «* E A 21*1 d 1 \ 2 (2) where P(I) s the partal wave dstrbuton, f! s a parameter controllng the angular asymmetry, p{k) s the K-dstrbuton (K s the axal component of the total spn I) and 6Q [6) s the ^-dependent part of the symmetrc top wave functon. The partal wave dstrbuton P(I) s taken from model o calculatons whch reproduce the exctaton functon for fsson-lke processes 2 whereas the K value ( the varance of the gaussan K-dstrbuton, p{k) ) s K3 obtaned from a ft to the angular 9 dstrbuton for the A=46-5 mass bn. The sold curves for the other mass bns are obtaned by adjustng the slope parameter ft and the overall normalzaton. We observe that ths sngle choce for the K -value gves a good representaton of the data for all mass bns. Ths ndcates that, wthn the expermental senstvty, the varance of the K-dstrbuton s not strongly dependent on the mass splt n the process. These data are, however, not suffcently accurate n the extreme forward regon to rule out a weak mass 2 dependence of the K value as observed n the 5 T, 56 Fe + 9fJ8 Kratz et al. 4. Pb reactons by Another effect of the entrance channel mass asymmetry s evdent n the wdth of the mass dstrbutons of fsson-lke products as llustrated n Fg. 3. The standard devatons of the mass dstrbutons, all normalzed to the same scsson pont temperature of T = (degrees) on "^ ' Fg. 2: Angular dstrbutons fo? fragments fallng nto dfferent mass bns are shown for the N+ 154 Sm reacton at E,.= 339 MeV. The sold ponts are data for the mass bn ndcated n the fgure. Open crcles correspond to the complementary fragment plotted at the supplementary angle.
5 MeV, are here shown as a functon of the mean square angular momentum contrbutng to the fsson-lke processes. We observe that the angle-ntegrated mass dstrbutons for the N+ Sm products (sold squares) are substantally wder than the ones for the W reacton (sold crcles). The mass dstrbuton of products emtted only at =9 (open squares) s also c m oo substantally wder than seen for the S nduced reacton. Ths ncrease n the wdth of the mass dstrbuton for the more mass asymmetrc entrance channel agan leads to the concluson that these * 1 ' Th 1 c a Ht+ t *Sr a * N+ tl4 Srn@>9 5 KXXX) 15 2 Fg. 3: The standard devaton of the mass dstrbutons of fsson-uke fragments are products are the result of a reacton.. r shown as a functon of the mean square nvolvng a rapd net transfer of mass sp(l of the system from the heavy to the lght reacton partner durng a tme perod, whch s shorter or comparable to the rotatonal perod of the system. We fnd that the observed dfferences n angular and mass dstrbutons for the two reactons lead to the followng concluson. Whereas the S+ W products essentally dsplay the characterstcs expected for the fsson decay of a compound system (although small devatons are found for the two hghest energes, where partal waves above the vanshng pont for the fsson barrer are populated), these characterstcs are not found for the N+ Sm system. On the contrary, the angular dstrbutons for asymmetrc mass splts n the N+ Sm reactons show evdence of short reacton tmes and fast mass transfer rates, whch are characterstc of quas-fsson processes. Ths work was supported by the U.S. Department of Energy, Nuclear Physcs Dvson, under contract W Eng-38. Present address: Gesellschaft fur Schweronenforschung, Darmstadt, Germany Hv.Q.Shen et al., Phys. Rev. C36, 115 (1986) and references theren. 2 W.J.Swateck, Phys. Scr. 24, 113 (1981); Nucl. Phys. A376, 275 (1982) 3 B.B.Back et al., Phys. Rev. C32, 1 (1985) 4 J.Kratz et al., Nucl. Phys. A452, 351 (1986) -
Neutral-Current Neutrino-Nucleus Inelastic Reactions for Core Collapse Supernovae
Neutral-Current Neutrno-Nucleus Inelastc Reactons for Core Collapse Supernovae A. Juodagalvs Teornės Fzkos r Astronomjos Insttutas, Lthuana E-mal: andrusj@tpa.lt J. M. Sampao Centro de Físca Nuclear da
More informationRECEIVED. Negative Transverse Impedance
RECEVED SEP 2 3 996 OSTt > LS- 4 O C a f L W. Chou March 2, 989 (Rev. June 2, 9S9) Negatve Transverse mpedance ntroducton n Ref. ( we report an observaton that the horzontal and the vertcal loss factors
More informationChapter 13: Multiple Regression
Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More informationRobert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations
Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton
More informationElectron-Impact Double Ionization of the H 2
I R A P 6(), Dec. 5, pp. 9- Electron-Impact Double Ionzaton of the H olecule Internatonal Scence Press ISSN: 9-59 Electron-Impact Double Ionzaton of the H olecule. S. PINDZOLA AND J. COLGAN Department
More informationHomework Assignment 3 Due in class, Thursday October 15
Homework Assgnment 3 Due n class, Thursday October 15 SDS 383C Statstcal Modelng I 1 Rdge regresson and Lasso 1. Get the Prostrate cancer data from http://statweb.stanford.edu/~tbs/elemstatlearn/ datasets/prostate.data.
More informationUncertainty and auto-correlation in. Measurement
Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at
More informationBayesian Analysis for 4 7 Be + p 5 8 B + γ Based on Effective Field Theory
Bayesan Analyss for 4 7 Be + p 5 8 B + γ Based on Effectve Feld Theory Xln Zhang Unversty of Washngton In collaboraton wth K. Nollett (San Dego State U.) and D. Phllps (Oho U.) INT Program INT-16-a, Bayesan
More information), &(do), A ) is the (Krylov) MGMRES: A Generalization of GMRES for Solving Large Sparse Nomymetric Linear Systems
I. MGMRES: A Generalzaton of GMRES for Solvng Large Sparse Nomymetrc Lnear Systems Davd M.Young and Jen Yuan Chen Center for Numercal Analyas The Unversty of Texaa at Aurrtn Austn, Texas We are concerned
More information1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationApplied Nuclear Physics (Fall 2004) Lecture 23 (12/3/04) Nuclear Reactions: Energetics and Compound Nucleus
.101 Appled Nuclear Physcs (Fall 004) Lecture 3 (1/3/04) Nuclear Reactons: Energetcs and Compound Nucleus References: W. E. Meyerhof, Elements of Nuclear Physcs (McGraw-Hll, New York, 1967), Chap 5. Among
More informationDeep Inelastic Neutron Scattering Studies of Atomic Momentum Distributions in Condensed Argon and Neon*
Deep nelastc Neutron Scatterng Studes of Atomc Momentum Dstrbutons n Condensed Argon and Neon* M. A. Fradkn, S.-X. Zeng, and R. O. Smmons Physcs Department and Materals Research Laboratory, Unversty of
More informationSPANC -- SPlitpole ANalysis Code User Manual
Functonal Descrpton of Code SPANC -- SPltpole ANalyss Code User Manual Author: Dale Vsser Date: 14 January 00 Spanc s a code created by Dale Vsser for easer calbratons of poston spectra from magnetc spectrometer
More informationLossy Compression. Compromise accuracy of reconstruction for increased compression.
Lossy Compresson Compromse accuracy of reconstructon for ncreased compresson. The reconstructon s usually vsbly ndstngushable from the orgnal mage. Typcally, one can get up to 0:1 compresson wth almost
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationModerator & Moderator System
NPTL Chemcal ngneerng Nuclear Reactor Technology Moderator & Moderator System K.S. Rajan Professor, School of Chemcal & Botechnology SASTRA Unversty Jont Intatve of IITs and IISc Funded by MHRD Page of
More informationN- and P-Channel 20-V (D-S) MOSFET
S45DY N- and P-Channel -V (D-S) MOSFET PRODUCT SUMMARY V DS (V) R DS(on) (Ω) (A).45 at V GS = V 9.6 N-Channel.7 at V GS = 4.5 V.6 FEATURES Halogen-free Accordng to IEC 649-- Defnton TrenchFET Power MOSFET
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationDeterministic and Monte Carlo Codes for Multiple Scattering Photon Transport
Determnstc and Monte Carlo Codes for Multple Scatterng Photon Transport Jorge E. Fernández 1 1 Laboratory of Montecuccolno DIENCA Alma Mater Studorum Unversty of Bologna Italy Isttuto Nazonale d Fsca Nucleare
More informationStatistics Chapter 4
Statstcs Chapter 4 "There are three knds of les: les, damned les, and statstcs." Benjamn Dsrael, 1895 (Brtsh statesman) Gaussan Dstrbuton, 4-1 If a measurement s repeated many tmes a statstcal treatment
More informationAnnexes. EC.1. Cycle-base move illustration. EC.2. Problem Instances
ec Annexes Ths Annex frst llustrates a cycle-based move n the dynamc-block generaton tabu search. It then dsplays the characterstcs of the nstance sets, followed by detaled results of the parametercalbraton
More informationSUPPLEMENTARY INFORMATION
do: 0.08/nature09 I. Resonant absorpton of XUV pulses n Kr + usng the reduced densty matrx approach The quantum beats nvestgated n ths paper are the result of nterference between two exctaton paths of
More informationCS-433: Simulation and Modeling Modeling and Probability Review
CS-433: Smulaton and Modelng Modelng and Probablty Revew Exercse 1. (Probablty of Smple Events) Exercse 1.1 The owner of a camera shop receves a shpment of fve cameras from a camera manufacturer. Unknown
More informationPhysics 181. Particle Systems
Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More information8 Derivation of Network Rate Equations from Single- Cell Conductance Equations
Physcs 178/278 - Davd Klenfeld - Wnter 2019 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons Our goal to derve the form of the abstract quanttes n rate equatons, such as synaptc
More informationCredit Card Pricing and Impact of Adverse Selection
Credt Card Prcng and Impact of Adverse Selecton Bo Huang and Lyn C. Thomas Unversty of Southampton Contents Background Aucton model of credt card solctaton - Errors n probablty of beng Good - Errors n
More information9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set
More information8 Derivation of Network Rate Equations from Single- Cell Conductance Equations
Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationAPPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS
Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent
More informationThe optimal delay of the second test is therefore approximately 210 hours earlier than =2.
THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationECE559VV Project Report
ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate
More information1 Rabi oscillations. Physical Chemistry V Solution II 8 March 2013
Physcal Chemstry V Soluton II 8 March 013 1 Rab oscllatons a The key to ths part of the exercse s correctly substtutng c = b e ωt. You wll need the followng equatons: b = c e ωt 1 db dc = dt dt ωc e ωt.
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationWorkshop: Approximating energies and wave functions Quantum aspects of physical chemistry
Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department
More informationGA A22627 TRANSPORT MODEL TESTING AND COMPARISONS USING THE ITER AND DIII D PROFILE DATABASES
GA A22627 TRANSPORT MODEL TESTING AND COMPARISONS USING THE ITER AND DIII D PROFILE DATABASES by J.E. KINSEY, R.E. WALTZ, and D.P. SCHISSEL JUNE 1997 DISCLAIMER Ths report was prepared as an account of
More informationPHYS 450 Spring semester Lecture 02: Dealing with Experimental Uncertainties. Ron Reifenberger Birck Nanotechnology Center Purdue University
PHYS 45 Sprng semester 7 Lecture : Dealng wth Expermental Uncertantes Ron Refenberger Brck anotechnology Center Purdue Unversty Lecture Introductory Comments Expermental errors (really expermental uncertantes)
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationAS-Level Maths: Statistics 1 for Edexcel
1 of 6 AS-Level Maths: Statstcs 1 for Edecel S1. Calculatng means and standard devatons Ths con ndcates the slde contans actvtes created n Flash. These actvtes are not edtable. For more detaled nstructons,
More informationis the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors
Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson
More informationDO NOT OPEN THE QUESTION PAPER UNTIL INSTRUCTED TO DO SO BY THE CHIEF INVIGILATOR. Introductory Econometrics 1 hour 30 minutes
25/6 Canddates Only January Examnatons 26 Student Number: Desk Number:...... DO NOT OPEN THE QUESTION PAPER UNTIL INSTRUCTED TO DO SO BY THE CHIEF INVIGILATOR Department Module Code Module Ttle Exam Duraton
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationNorm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise
ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty
More informationLevel Crossing Spectroscopy
Level Crossng Spectroscopy October 8, 2008 Contents 1 Theory 1 2 Test set-up 4 3 Laboratory Exercses 4 3.1 Hanle-effect for fne structure.................... 4 3.2 Hanle-effect for hyperfne structure.................
More informationComputer Simulations of Parallel-to-Series Conversion in Solid State Frame Transfer Image Sensors. J. Bisschop
207 SIMULATION OF SEMICONDUCTOR DEVICES AND PROCESSES Vol. 3 Edted by G. Baccaran, M. Rudan - Bologna (Italy) September 26-28,988 - Tecnoprnt Computer Smulatons of Parallel-to-Seres Converson n Sold State
More informationONE-DIMENSIONAL COLLISIONS
Purpose Theory ONE-DIMENSIONAL COLLISIONS a. To very the law o conservaton o lnear momentum n one-dmensonal collsons. b. To study conservaton o energy and lnear momentum n both elastc and nelastc onedmensonal
More informationDirect observation of spin-polarized bulk bands in an inversion-symmetric semiconductor
J. M. Rley, 1 F. Mazzola, 2 M. Dendzk, 3 M. Mchard, 3 T. Takayama, 4, 5 L. Bawden, 1 C. Granerød, 2 M. Leandersson, 6 T. Balasubramanan, 6 M. Hoesch, 7 T. K. Km, 7 H. Takag, 4, 5 W. Meevasana, 8, 9 Ph.
More informationLecture 3. Ax x i a i. i i
18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest
More informationProblem Set 9 Solutions
Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem
More informationColor Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationChapter 6. Supplemental Text Material
Chapter 6. Supplemental Text Materal S6-. actor Effect Estmates are Least Squares Estmates We have gven heurstc or ntutve explanatons of how the estmates of the factor effects are obtaned n the textboo.
More informationUncertainty as the Overlap of Alternate Conditional Distributions
Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant
More informationExperimental Techniques for Nuclear and Particle Physics. Interactions of particles in matter (1)
Expermental Technques for Nuclear and Partcle Physcs Interactons of partcles n matter (1) Incdent beam/radaton feld on materal ("fxed" target / detector) N partcles per sec Φ flux (partcles/sec/unt area)
More informationInvestigation of Uncertainty Sources in the External Dosimetry Laboratory
Investgaton of Uncertanty Sources n the External Dosmetry Laboratory Specfcaton.1.1. Analyss of uncertantes Methods for calculatng the overall uncertanty from ndvdual measured uncertantes are gven n the
More informationSupplementary Materials for
advances.scencemag.org/cg/content/full/2/7/e1600304/dc1 Supplementary Materals for Interface-drven topologcal Hall effect n SrRuO3-SrIrO3 blayer Jobu Matsuno, Naok Ogawa, Kenj Yasuda, Fumtaka Kagawa, Wataru
More informationPerformance of Different Algorithms on Clustering Molecular Dynamics Trajectories
Performance of Dfferent Algorthms on Clusterng Molecular Dynamcs Trajectores Chenchen Song Abstract Dfferent types of clusterng algorthms are appled to clusterng molecular dynamcs trajectores to get nsght
More informationMoments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.
Moments of Inerta Suppose a body s movng on a crcular path wth constant speed Let s consder two quanttes: the body s angular momentum L about the center of the crcle, and ts knetc energy T How are these
More informationTHERMAL DISTRIBUTION IN THE HCL SPECTRUM OBJECTIVE
ame: THERMAL DISTRIBUTIO I THE HCL SPECTRUM OBJECTIVE To nvestgate a system s thermal dstrbuton n dscrete states; specfcally, determne HCl gas temperature from the relatve occupatons of ts rotatonal states.
More informationPulse Coded Modulation
Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationNon-interacting Spin-1/2 Particles in Non-commuting External Magnetic Fields
EJTP 6, No. 0 009) 43 56 Electronc Journal of Theoretcal Physcs Non-nteractng Spn-1/ Partcles n Non-commutng External Magnetc Felds Kunle Adegoke Physcs Department, Obafem Awolowo Unversty, Ile-Ife, Ngera
More information2016 Wiley. Study Session 2: Ethical and Professional Standards Application
6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton
More informationOnline Appendix to: Axiomatization and measurement of Quasi-hyperbolic Discounting
Onlne Appendx to: Axomatzaton and measurement of Quas-hyperbolc Dscountng José Lus Montel Olea Tomasz Strzaleck 1 Sample Selecton As dscussed before our ntal sample conssts of two groups of subjects. Group
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationComposite Hypotheses testing
Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationLecture 14: Forces and Stresses
The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal
More informationDigital Signal Processing
Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over
More informationINVESTIGATION OF ANGULAR DISTRIBUTIONS IN THE INTERACTION OF COSMIC-RAY PARTICLES
S IN THE INTERACTION OF COSMIC-RAY PARTICLES WITH A DENSE TARGET AND COMPARISION WITH DATA OF THE LARGE HADRON COLLIDER N.N.Zastrozhnova, O.A. Novolodskaya, N.S.Pokrovsky, T.Kh. Sadykov,, S.Zh. Tokmoldn
More informationADVANCED MACHINE LEARNING ADVANCED MACHINE LEARNING
1 ADVANCED ACHINE LEARNING ADVANCED ACHINE LEARNING Non-lnear regresson technques 2 ADVANCED ACHINE LEARNING Regresson: Prncple N ap N-dm. nput x to a contnuous output y. Learn a functon of the type: N
More informationNumber Average Molar Mass. Mass Average Molar Mass. Z-Average Molar Mass
17 Molar mass: There are dfferent ways to report a molar mass lke (a) Number average molar mass, (b) mass average molar mass, (c) Vscosty average molar mass, (d) Z- Average molar mass Number Average Molar
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationDefinition. Measures of Dispersion. Measures of Dispersion. Definition. The Range. Measures of Dispersion 3/24/2014
Measures of Dsperson Defenton Range Interquartle Range Varance and Standard Devaton Defnton Measures of dsperson are descrptve statstcs that descrbe how smlar a set of scores are to each other The more
More informationAssignment 4. Adsorption Isotherms
Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,
More informationDepartment of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution
Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable
More informationSupplementary Information:
Supplementary Informaton: Vsualzaton-based analyss of structural and dynamcal propertes of smulated hydrous slcate melt Bjaya B. Kark 1,2, Dpesh Bhattara 1, Manak Mookherjee 3 and Lars Stxrude 4 1 Department
More informationConvergence of random processes
DS-GA 12 Lecture notes 6 Fall 216 Convergence of random processes 1 Introducton In these notes we study convergence of dscrete random processes. Ths allows to characterze phenomena such as the law of large
More informationLinear Regression Analysis: Terminology and Notation
ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented
More informationU-Pb Geochronology Practical: Background
U-Pb Geochronology Practcal: Background Basc Concepts: accuracy: measure of the dfference between an expermental measurement and the true value precson: measure of the reproducblty of the expermental result
More information8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before
.1 Arc Length hat s the length of a curve? How can we approxmate t? e could do t followng the pattern we ve used before Use a sequence of ncreasngly short segments to approxmate the curve: As the segments
More informationErrors for Linear Systems
Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch
More informationJanuary Examinations 2015
24/5 Canddates Only January Examnatons 25 DO NOT OPEN THE QUESTION PAPER UNTIL INSTRUCTED TO DO SO BY THE CHIEF INVIGILATOR STUDENT CANDIDATE NO.. Department Module Code Module Ttle Exam Duraton (n words)
More informationGeorgia Tech PHYS 6124 Mathematical Methods of Physics I
Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends
More informationWeek 11: Chapter 11. The Vector Product. The Vector Product Defined. The Vector Product and Torque. More About the Vector Product
The Vector Product Week 11: Chapter 11 Angular Momentum There are nstances where the product of two vectors s another vector Earler we saw where the product of two vectors was a scalar Ths was called the
More information5.15 MICRO GAMMA SCANNING ON THE HIGH BURNUP PWR FUEL SAMPLES
5.15 MICRO GAMMA SCANNING ON THE HIGH BURNUP PWR FUEL SAMPLES Hyoung-Mun Kwon, Hang-Seog Seo, Hyung-Kwon Lee, Duck-Kee Mn, Yong-Bum Chun Post Irradaton Examnaton Faclty, Korea Atomc Energy Research Insttute
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationNewton s Method for One - Dimensional Optimization - Theory
Numercal Methods Newton s Method for One - Dmensonal Optmzaton - Theory For more detals on ths topc Go to Clck on Keyword Clck on Newton s Method for One- Dmensonal Optmzaton You are free to Share to copy,
More information4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA
4 Analyss of Varance (ANOVA) 5 ANOVA 51 Introducton ANOVA ANOVA s a way to estmate and test the means of multple populatons We wll start wth one-way ANOVA If the populatons ncluded n the study are selected
More information