11 June Physics Letters B D. Delepine, J.-M. Gerard, J. Pestieau, J. Weyers
|
|
- Annabella Walton
- 5 years ago
- Views:
Transcription
1 June 998 hyic Lee B Final ae ineacin hae in B K D Deleine, J-M Gead, J eieau, J Weye decay amliude Iniu de hyique Theique, UniÕeie cahlique de LuÕain, B-348 LuÕain-la-NeuÕe, Belgium Received Mach 998 Edi: V Lhff Abac A imle Regge le mdel f K caeing exlain he lage hae e id beween iin amliude which i beved a he D men ma df I edic df48y8 a he B ma Imlicain f B K decay exenin f he mdel he w-bdy decay channel ae biefly dicued q 998 Elevie Science BV All igh eeved Inducin Wih B-facie fhcming, deailed check f he ecie C-vilain aen ediced by he ad mdel will becme ible weve i i by n mean ivial exac eliable infmain n C-vilain aamee fm vaiu B-decay mde One f he blem i f cue hw eimae hadnic effec uch a final ae ineacin FSI hae Alhugh hee hae ae f n aicula inee by hemelve, hey d lay an iman le f many enial ignal f C vilain in hadnic B-decay The elevan quein cncening hee FSI hae i whehe hey ae ignificanly diffeen fm n Clealy he anwe hi quein deend n he hadnic channel cnideed ee we will fcu u aenin n K channel whee exeimenal daa al exi f B decay wx Thee ae w iin invaian caeing amliude I I3 he quaniy ne wan eimae, a a funcin f enegy, i d d yd namely 3 he diffeence beween he S-wave hae hif in he I 3 d I d 3 amliude A a mae f fac d ha been meaued a he D ma m whee i i fund wx D be aund Naively ne de n exec uch a huge FSI angle a m D becme negligible a m B bu, bviuly, a me quaniaive agumen i called f The main ue f hi lee i ugge a Regge mdel a a geneal aegy f deemining FSI angle wx 3 a exeience wih N KN caeing amliude ngly ugge ha uch a mdel huld wk quie well f K caeing ve an enegy ange which include he D B men mae The dminan Regge exchange cnide in K K caeing ae, eecively, he men he exchange degeneae y f ajecie in he -channel in he u-channel he exchange degeneae K ) yk )) ajecie In he nex ecin we biefly ecall a few eie f hee ajecie hen ceed hw in Secin $9 q 998 Elevie Science BV All igh eeved II: S
2 D Deleine e alhyic Lee B 49 ( 998) 6 7 ha wih all aamee fixed henmenlgically u mdel aumaically accun f he beved d m D, Fm he knwn enegy deendence f Regge ajecie ne hen eadily edic dm B cle degee, namely quie a izeable FSI angle a he B ma, a naıvely execed Thee ae u main eul T cnclude hi ne we fi cmmen n bviu imlicain f u eul f B K decay hen end wih eveal geneal emak n he aameizain f any quai w-bdy decay amliude f he B men ( ) A Regge mdel f K K caeing amliude We ake,,u be he uual Melam vaiable In he -channel, K K caeing amliude ae linea cmbinain f he iin invaian amliude A A 3 In he -channel KK, we have iin invaian amliude A iin A iin, imilaly, in u he u-channel K K, we define A A u 3 The elain beween hee amliude ae given by he cing maice A ' 6 A A 3 A y ' 6 A u 3 43 u y3 3 A 3 In a Regge mdel, -channel amliude a high enegy lage ae aameized a um ve Regge le exchange in he ced channel: nea he fwad diecin mall, -channel exchange dminae while nea he backwad diecin cle y u mall, i i he u-channel exchange which ae elevan The geneic fm, a lage, f a Regge le exchanged in he -channel i given by a yia qe yb ina In Eq, b i he eidue funcin, he ignaue " a a qa X 3 i he linea Regge ajecy wih inece a le a X ; finally i a cale fac uually aken a GeV F a Regge le exchanged in he u-channel, he geneic fm i imila Eq bu wih he vaiable elaced by u The leading ajecy highe inece i he -called men I ha he quanum numbe f he vacuum I,q i exchange decibe diffacive caeing The men alway cnibue elaic caeing decibe quie well he bulk f hadnic diffeenial c-ecin ve a wide enegy ange In he enegy ineval which i f inee u hee, namely 3 GeV QQ35 GeV 4 a vey imle bu excellen henmenlgical aameizain f he men ajecy eidue funcin i given by a 5 b b e b 6 wih 5 GeV y Qb Q3 GeV y 7 bained fm fi wx 4 elaic, K diffeenial c-ecin uing facizain A a eul he men cnibuin A nw ead GeV A ib e b 8 The nex ajecie cnide ae he yf ajecie in he -channel he K ) yk )) ajecie in he u-channel The ajecy ha T,y while he f ajecy ha T, q; imilaly he K ) ajecy ha T, y while he K )) ajecy ha he ie ignaue Becaue f he abence f exic enance n K enance wih I3, he f ajecie a well a he K ) yk )) ne mu be
3 8 D Deleine e alhyic Lee B 49 ( 998) 6 exchange degeneae Secifically hi mean ha he f ajecie cıncide a a ( q 9 f ha hei eidue ae elaed ie bf b ' 6 Similaly, f he K y K ajecie in he SU 3 -limi ) )) a ) u a )) K K u ( qu yb ) u b )) u K K Eq 9, Eq, guaanee ha he nn diffacive imaginay a f A 3 vanihe They ued be called dualiy cnain wx 5 We neglec lwe lying ajecie uch a he X I,y he f I,q in he -channel a well a hei SU 3 ane in he u-channel Wee we include hem hey huld al be aken a exchange degeneae I i cumay wie he eidue funcin f he ajecy a b b 3 G a ' 4 G a ina fg a ina, b fb, 5 in wiing he ajecy cnibuin A 5q A, mall qiex yi 6 Since G a ina i a vey mh funcin f, n ham i dne in uing a mall he aximain An exacly imila eaning give f he f ajecy cnibuin A Af, mall 3 5q ( yqiex yi, 7 a while f he K ) K )) ajecie cnibuin A u ne wie A ) K, mall u b ) K 5qu qiex yi u, 8 A )) K wih, mall u b ) K 5qu y yqiex yi u, 9 3 b ) K 4 b in he SU 3 limi uing eveyhing gehe uing he cing maice given in Eq, u Regge mdel f K caeing i nw cmleely defined by he amliude i b 5q A, mall b e q ' 6 ' 3i yi 5q q e, a ' 5qu A, mall u, b i b 5q A3, mall b e y, ' 6 a 5qu A3, mall u y b 3 S-wave ecaeing hae The emaining ak i nw exac fm Eq, he l aial wave amliude a a 3 Neglecing K mae, we have, u ielevan eal fac ai A dai, 3 y
4 D Deleine e alhyic Lee B 49 ( 998) 6 9 Fm he hyical idea undelying Eq, i i clea ha uide he fwad backwad egin, he inegal in Eq 3 give a negligibly mall cnibuin a We hu wie I I I u I a A da, mall q dua, mall u 4 Wih he exlici exein given in Eq,, he inegal in Eq 4 ae ivial efm Fuheme, he inegaed cnibuin a he u bundaie aund GeV ae cnideably malle han a he bunday f bh inegal in Eq 4 Neglecing hee cnibuin, ne hu bain i b b a q ' 6 b ln 3i ln qi q 5 ' ln q i b b a3 y 6 ' 6 b ln Im ai fm which he an di ae aighf- Re ai wad cmue Ne ha bh an d an d 3 deend n ne ingle henmenlgically deemined aamee namely b x 7 b Fm fi wx 6, K al c ecin in he enegy ange given in Eq 4 again uing facizain, we find b 9" 8 Fm Eq 7, we hu cnclude ha x i cle ne x7"7 9 Simila eul ae bained uing he fi given in Ref wx 7 f a lage enegy ange Wih hee value f x, he ange f he FSI angle a he D ma i calculaed be D 3 D D d m 'd m yd m 85"6 8 3 in ecacula ageemen wih he ecen analyi f wx CLEO daa D d m 96"3 8 3 We e ha bh he analyi f CLEO daa u calculain ae baed n he quai-elaic aximain A he B ma, we edic a izeable angle cle degee, namely d m 7"3 8 3 B Befe cmmening n u edicin f dm B, i may be whwhile in u a few fac abu u calculain f d Ø i i a n-aamee calculain: x i deemined d fm he daa n al c-ecin wx 6 d wx 4; Ø in efming u calculain f d, we have made eveal aximain a we negleced lwe ajecie a well a he inemediae egin in he S-wave jecin inegal Thee aximain ae ceainly und fm a henmenlgical in f view hey becme bee bee a inceae A he D ma we d n believe ha u end eul huld be ued bee han % bu in any cae, ageemen wih he daa emain excellen; Ø he calculain eened hee f K caeing can f cue be eeaed f KK caeing A deailed accun dicuin f hee calculain will be eened elewhee wx 8 ee we imly in u ha he eul f bh calculain ae nce again in excellen ageemen wx wih he daa available a he D ma : d i KK fund be aund 3 d aund 6 Thee eul cnideably enghen u cnfidence in a imle Regge aameizain f hadnic caeing amliude 4 Cncluin The main eul f hi lee ae given by Eq 3 3 can be ummaized a fllw: a Regge mdel f K caeing exlain he lage S-wave ecaeing hae diffeence d beved a he D men ma namely d m D f, edic dm f8 B
5 D Deleine e alhyic Lee B 49 ( 998) 6 Such a izeable FSI angle a he B men ma lead iman imlicain f B K decay wx 9 : i invalidae he Fleiche-Mannel bund wx n he Cabibb-Kbayahi-Makawa angle g im- " lie a enially lage C aymmey, a, in B K " decay: af4 ing % 33 Sng ineacin hadnic hae can be aameized a la Regge f any quai w bdy decay mde f he B men, KK a aleady ) ) menined, bu al, K, K, ec The fac ha u quai-elaic eamen f he caeing amliude f K, KK agee well wih he daa a he D men ma i a ng agumen f neglecing inelaic effec n hadnic hae In view f he eviu cmmen, a geneal aameizain f all w-bdy decay mde f he B men naually ugge ielf The decay amliude can be wien a a um f educed maix elemen ²² B N N M M, I:: W f he effecive weak hamilnian, mulilied by he aiae hadnic FSI hae e d I Thee educed maix elemen ae in geneal cmlex numbe which can be yemaically calculaed in em f ee-level, clu ueed, enguin, exchange annihilain quak diagam Of cue, n iin vilaing caeing hae ae allwed beween hee diagam fuheme, a aleady hwn elewhee wx 9, clae f diagam which wuld naıvely be excluded can id eaea due fac f he ye ye I On he he h, enguin diagam can vide an abive ie imaginay cmnen he educed maw x Bu hee imaginay a ae vey ix elemen mdel-deenden bably quie mall Thee- fe we ugge w x, a a fi aximain imly igne hee quak hae wheneve he hadnic hae ae izeable Thi wa aumed in Ref wx 9 Thi haen be he cae f B K decay Acknwledgemen We ae gaeful Chihe Smih Fank Wuhwein f ueful dicuin cmmen Refeence wx R Gdang e al, CLEO 97-7, CLNS 975, heex97 wx M Bihai e al, CLEO Cllabain, hy Rev Le wx 3 F ealie aem, ee eg Zheng, hy Le B ; JF Dnghue, E Glwich, AA ev, JM Sae, hy Rev Le ; B Blk, I alein, hy Le B ; AN Kamal, CW Lu, Univ f Albea ein Thy-8-97, 997, he-h975396; AF Falk, AL Kagan, Y Ni, AA ev, Jhn kin Univ ein TIAC-978, 997, he-h975 wx 4 R Sebe, hy Rev Le wx 5 See f examle, J Mula, J Weye, G Zweig, Ann Rev Nucl Sc wx 6 V Bage, RJN hilli, Nucl hy B wx 7 A Dnnachie, V Lhff, hy Le B wx 8 J-M Gead, J eieau, J Weye, in eaain wx 9 J-M Gead, J Weye, UCL ein IT-97-8, 997, he-h97469 wx R Fleiche, T Mannel, Univ f Kaluhe ein TT-97-7, 997, he-h97443 wx M Be, D Silveman, A Sni, hy Rev Le wx F anhe in f view, ee M Neube, CERN ein T97-34, 997, he-h974
11. HAFAT İş-Enerji Power of a force: Power in the ability of a force to do work
MÜHENDİSLİK MEKNİĞİ. HFT İş-Eneji Pwe f a fce: Pwe in he abiliy f a fce d wk F: The fce applied n paicle Q P = F v = Fv cs( θ ) F Q v θ Pah f Q v: The velciy f Q ÖRNEK: İŞ-ENERJİ ω µ k v Calculae he pwe
More informationLecture 17: Kinetics of Phase Growth in a Two-component System:
Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien
More informationLecture 4. Electrons and Holes in Semiconductors
ecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: eeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shcley uai Quai-eualiy i cducive maeial C 35 Sig 2005 Faha
More informationLecture 4. Electrons and Holes in Semiconductors
Lecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: Geeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shckley uai Quai-eualiy i cducive maeial C 35 Sig 2005
More information2. The units in which the rate of a chemical reaction in solution is measured are (could be); 4rate. sec L.sec
Kineic Pblem Fm Ramnd F. X. Williams. Accding he equain, NO(g + B (g NOB(g In a ceain eacin miue he ae f fmain f NOB(g was fund be 4.50 0-4 ml L - s -. Wha is he ae f cnsumpin f B (g, als in ml L - s -?
More informationSections 3.1 and 3.4 Exponential Functions (Growth and Decay)
Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens
More informationLecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation
Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual
More informationMolecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8
Molecula Evoluion and hylogeny Baed on: Dubin e al Chape 8. hylogeneic Tee umpion banch inenal node leaf Topology T : bifucaing Leave - N Inenal node N+ N- Lengh { i } fo each banch hylogeneic ee Topology
More informationThen the number of elements of S of weight n is exactly the number of compositions of n into k parts.
Geneating Function In a geneal combinatoial poblem, we have a univee S of object, and we want to count the numbe of object with a cetain popety. Fo example, if S i the et of all gaph, we might want to
More informationMEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING
MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens
More informationBasic propositional and. The fundamentals of deduction
Baic ooitional and edicate logic The fundamental of deduction 1 Logic and it alication Logic i the tudy of the atten of deduction Logic lay two main ole in comutation: Modeling : logical entence ae the
More informationIntroduction to Congestion Games
Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game
More informationEE Control Systems LECTURE 2
Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian
More informationThe Residual Graph. 11 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm
Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,
More informationThe sudden release of a large amount of energy E into a background fluid of density
10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy
More informationLecture 26: Leapers and Creepers
Lecue 6: Leape and Ceepe Scibe: Geain Jone (and Main Z. Bazan) Depamen of Economic, MIT May, 5 Inoducion Thi lecue conide he analyi of he non-epaable CTRW in which he diibuion of ep ize and ime beween
More informationa. (1) Assume T = 20 ºC = 293 K. Apply Equation 2.22 to find the resistivity of the brass in the disk with
Aignmen #5 EE7 / Fall 0 / Aignmen Sluin.7 hermal cnducin Cnider bra ally wih an X amic fracin f Zn. Since Zn addiin increae he number f cnducin elecrn, we have cale he final ally reiiviy calculaed frm
More informationToday - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations
Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy
More informationGeneral Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security
1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,
More informationThe Production of Polarization
Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview
More informationMaximum Cross Section Reduction Ratio of Billet in a Single Wire Forming Pass Based on Unified Strength Theory. Xiaowei Li1,2, a
Inenainal Fum n Enegy, Envinmen and Susainable evelpmen (IFEES 06 Maximum Css Sein Reduin Rai f Bille in a Single Wie Fming Pass Based n Unified Sengh They Xiawei Li,, a Shl f Civil Engineeing, Panzhihua
More informationThe Residual Graph. 12 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm
Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,
More informationGravity. David Barwacz 7778 Thornapple Bayou SE, Grand Rapids, MI David Barwacz 12/03/2003
avity David Bawacz 7778 Thonapple Bayou, and Rapid, MI 495 David Bawacz /3/3 http://membe.titon.net/daveb Uing the concept dicued in the peceding pape ( http://membe.titon.net/daveb ), I will now deive
More information(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is
. Yu are repnible fr a reacr in which an exhermic liqui-phae reacin ccur. The fee mu be preheae he hrehl acivain emperaure f he caaly, bu he pruc ream mu be cle. T reuce uiliy c, yu are cniering inalling
More informationVariance and Covariance Processes
Vaiance and Covaiance Pocesses Pakash Balachandan Depamen of Mahemaics Duke Univesiy May 26, 2008 These noes ae based on Due s Sochasic Calculus, Revuz and Yo s Coninuous Maingales and Bownian Moion, Kaazas
More informationLecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain
Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationDegree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series
IAENG Inenaional Jounal of Applied Mahemaic, 4:, IJAM_4 7 Degee of Appoximaion of a Cla of Funcion by C, E, q Mean of Fouie Seie Hae Kihna Nigam and Kuum Shama Abac In hi pape, fo he fi ime, we inoduce
More informationPHYS GENERAL RELATIVITY AND COSMOLOGY PROBLEM SET 7 - SOLUTIONS
PHYS 54 - GENERAL RELATIVITY AND COSMOLOGY - 07 - PROBLEM SET 7 - SOLUTIONS TA: Jeome Quinin Mach, 07 Noe ha houghou hee oluion, we wok in uni whee c, and we chooe he meic ignaue (,,, ) a ou convenion..
More information, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t
Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission
More informationMaxwell Equations. Dr. Ray Kwok sjsu
Maxwell quains. Ray Kwk sjsu eeence: lecmagneic Fields and Waves, Lain & Csn (Feeman) Inducin lecdynamics,.. Giihs (Penice Hall) Fundamenals ngineeing lecmagneics,.k. Cheng (Addisn Wesley) Maxwell quains.
More informationChapter 2. Kinematics in One Dimension. Kinematics deals with the concepts that are needed to describe motion.
Chpe Kinemic in One Dimenin Kinemic del wih he cncep h e needed decibe min. Dynmic del wih he effec h fce he n min. Tgehe, kinemic nd dynmic fm he bnch f phyic knwn Mechnic.. Diplcemen. Diplcemen.0 m 5.0
More informationComputer Propagation Analysis Tools
Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion
More informationChapter 19 Webassign Help Problems
Chapte 9 Webaign Help Poblem 4 5 6 7 8 9 0 Poblem 4: The pictue fo thi poblem i a bit mileading. They eally jut give you the pictue fo Pat b. So let fix that. Hee i the pictue fo Pat (a): Pat (a) imply
More informationAtom Interferometry for Gravitational Waves. Flavio Vetrano Università di Urbino and INFN Firenze
Am Inefemey f Gaviainal Waves Flavi Vean Univesià di Ubin and INFN Fienze Flavi Vean Rma May 3, 00 Ramsey Inefeence Tw level ams (gund, excied Tw successive elecmagneic ineacins N exenal mmenum exchange
More informationRepresenting Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example
C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional
More informationV V The circumflex (^) tells us this is a unit vector
Vecto Vecto have Diection and Magnitude Mike ailey mjb@c.oegontate.edu Magnitude: V V V V x y z vecto.pptx Vecto Can lo e Defined a the oitional Diffeence etween Two oint 3 Unit Vecto have a Magnitude
More information8.5 Circles and Lengths of Segments
LenghofSegmen20052006.nb 1 8.5 Cicle and Lengh of Segmen In hi ecion we will how (and in ome cae pove) ha lengh of chod, ecan, and angen ae elaed in ome nal way. We will look a hee heoem ha ae hee elaionhip
More information( t) Steady Shear Flow Material Functions. Material function definitions. How do we predict material functions?
Rle f aeial Funins in Rhelgial Analysis Rle f aeial Funins in Rhelgial Analysis QUALIY CONROL QUALIAIVE ANALYSIS QUALIY CONROL QUALIAIVE ANALYSIS mpae wih he in-huse daa n qualiaive basis unknwn maeial
More informationu(t) Figure 1. Open loop control system
Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference
More informationThe shortest path between two truths in the real domain passes through the complex domain. J. Hadamard
Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal
More informationdm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v
Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,
More informationRandomized Perfect Bipartite Matching
Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for
More informationASTR 3740 Relativity & Cosmology Spring Answers to Problem Set 4.
ASTR 3740 Relativity & Comology Sping 019. Anwe to Poblem Set 4. 1. Tajectoie of paticle in the Schwazchild geomety The equation of motion fo a maive paticle feely falling in the Schwazchild geomety ae
More informationγ from B D(Kπ)K and B D(KX)K, X=3π or ππ 0
fom and X, X= o 0 Jim Libby, Andew Powell and Guy Wilkinon Univeity of Oxfod 8th Januay 007 Gamma meeting 1 Outline The AS technique to meaue Uing o 0 : intoducing the coheence facto Meauing the coheence
More informationIntroduction. If there are no physical guides, the motion is said to be unconstrained. Example 2. - Airplane, rocket
Kinemaic f Paricle Chaper Inrducin Kinemaic: i he branch f dynamic which decribe he min f bdie wihu reference he frce ha eiher caue he min r are generaed a a reul f he min. Kinemaic i fen referred a he
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationImage Enhancement: Histogram-based methods
Image Enhancement: Hitogam-baed method The hitogam of a digital image with gayvalue, i the dicete function,, L n n # ixel with value Total # ixel image The function eeent the faction of the total numbe
More informationSolutions Practice Test PHYS 211 Exam 2
Solution Pactice Tet PHYS 11 Exam 1A We can plit thi poblem up into two pat, each one dealing with a epaate axi. Fo both the x- and y- axe, we have two foce (one given, one unknown) and we get the following
More informationTRAVELING WAVES. Chapter Simple Wave Motion. Waves in which the disturbance is parallel to the direction of propagation are called the
Chapte 15 RAVELING WAVES 15.1 Simple Wave Motion Wave in which the ditubance i pependicula to the diection of popagation ae called the tanvee wave. Wave in which the ditubance i paallel to the diection
More informationAn Automatic Door Sensor Using Image Processing
An Auomaic Doo Senso Using Image Pocessing Depamen o Elecical and Eleconic Engineeing Faculy o Engineeing Tooi Univesiy MENDEL 2004 -Insiue o Auomaion and Compue Science- in BRNO CZECH REPUBLIC 1. Inoducion
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationInference for A One Way Factorial Experiment. By Ed Stanek and Elaine Puleo
Infeence fo A One Way Factoial Expeiment By Ed Stanek and Elaine Puleo. Intoduction We develop etimating equation fo Facto Level mean in a completely andomized one way factoial expeiment. Thi development
More information( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba
THE INTEACTION OF ADIATION AND MATTE: SEMICLASSICAL THEOY PAGE 26 III. EVIEW OF BASIC QUANTUM MECHANICS : TWO -LEVEL QUANTUM SYSTEMS : The lieaue of quanum opics and lase specoscop abounds wih discussions
More informationNotes on cointegration of real interest rates and real exchange rates. ρ (2)
Noe on coinegraion of real inere rae and real exchange rae Charle ngel, Univeriy of Wiconin Le me ar wih he obervaion ha while he lieraure (mo prominenly Meee and Rogoff (988) and dion and Paul (993))
More informationIntroduction to SLE Lecture Notes
Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will
More informationCh. 3: Inverse Kinematics Ch. 4: Velocity Kinematics. The Interventional Centre
Ch. : Invee Kinemati Ch. : Velity Kinemati The Inteventinal Cente eap: kinemati eupling Apppiate f ytem that have an am a wit Suh that the wit jint ae ae aligne at a pint F uh ytem, we an plit the invee
More informationGraphs III - Network Flow
Graph III - Nework Flow Flow nework eup graph G=(V,E) edge capaciy w(u,v) 0 - if edge doe no exi, hen w(u,v)=0 pecial verice: ource verex ; ink verex - no edge ino and no edge ou of Aume every verex v
More informationEE202 Circuit Theory II
EE202 Circui Theory II 2017-2018, Spring Dr. Yılmaz KALKAN I. Inroducion & eview of Fir Order Circui (Chaper 7 of Nilon - 3 Hr. Inroducion, C and L Circui, Naural and Sep epone of Serie and Parallel L/C
More informationExponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.
Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga
More informationWeak Three Dimensionality of a Flow Around a Slender Cylinder: the Ginzburg-Landau Equation
Weak Thee Dimeninaliy f a Flw Aund a J.A.P.Aanha DF, Mech. Eng, EPUSP S. P, Bazil apaan@up.b Weak Thee Dimeninaliy f a Flw Aund a Slende Cylinde: he Ginzbug-Landau Equain In hi pape a weak hee-dimeninaliy
More informationFall 2004/05 Solutions to Assignment 5: The Stationary Phase Method Provided by Mustafa Sabri Kilic. I(x) = e ixt e it5 /5 dt (1) Z J(λ) =
8.35 Fall 24/5 Solution to Aignment 5: The Stationay Phae Method Povided by Mutafa Sabi Kilic. Find the leading tem fo each of the integal below fo λ >>. (a) R eiλt3 dt (b) R e iλt2 dt (c) R eiλ co t dt
More informationControl Volume Derivation
School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass
More informationAN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS
CHAPTER 5 AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS 51 APPLICATIONS OF DE MORGAN S LAWS A we have een in Secion 44 of Chaer 4, any Boolean Equaion of ye (1), (2) or (3) could be
More informationAlgorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov)
Algorihm and Daa Srucure 2011/ Week Soluion (Tue 15h - Fri 18h No) 1. Queion: e are gien 11/16 / 15/20 8/13 0/ 1/ / 11/1 / / To queion: (a) Find a pair of ube X, Y V uch ha f(x, Y) = f(v X, Y). (b) Find
More informationΣr2=0. Σ Br. Σ br. Σ r=0. br = Σ. Σa r-s b s (1.2) s=0. Σa r-s b s-t c t (1.3) t=0. cr = Σ. dr = Σ. Σa r-s b s-t c t-u d u (1.4) u =0.
0 Powe of Infinite Seie. Multiple Cauchy Poduct The multinomial theoem i uele fo the powe calculation of infinite eie. Thi i becaue the polynomial theoem depend on the numbe of tem, o it can not be applied
More informationPerformance Analysis of GSM Coverage considering Spectral Efficiency, Interference and Cell Sectoring
Inenainal Junal f Engineeing and Advanced Technlgy (IJEAT) ISSN: 2249 8958, Vlue-2, Iue-4, Apil 2013 efance Analyi f GSM Cveage cnideing Specal Efficiency, Inefeence and Cell Secing Afana Nadia, S. K.
More informationCS 188: Artificial Intelligence Fall Probabilistic Models
CS 188: Aificial Inelligence Fall 2007 Lecue 15: Bayes Nes 10/18/2007 Dan Klein UC Bekeley Pobabilisic Models A pobabilisic model is a join disibuion ove a se of vaiables Given a join disibuion, we can
More informationAlgorithm Design and Analysis
Algorihm Deign and Analyi LECTURE 0 Nework Flow Applicaion Biparie maching Edge-dijoin pah Adam Smih 0//0 A. Smih; baed on lide by E. Demaine, C. Leieron, S. Rakhodnikova, K. Wayne La ime: Ford-Fulkeron
More informationThe Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues
Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co
More informationWYSE Academic Challenge Sectional Mathematics 2006 Solution Set
WYSE Academic Challenge Sectinal 006 Slutin Set. Cect answe: e. mph is 76 feet pe minute, and 4 mph is 35 feet pe minute. The tip up the hill takes 600/76, 3.4 minutes, and the tip dwn takes 600/35,.70
More informationPHYS PRACTICE EXAM 2
PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,
More informationSection 4.2 Radians, Arc Length, and Area of a Sector
Sectin 4.2 Radian, Ac Length, and Aea f a Sect An angle i fmed by tw ay that have a cmmn endpint (vetex). One ay i the initial ide and the the i the teminal ide. We typically will daw angle in the cdinate
More informationSupport Vector Machines
Suppo Veco Machine CSL 3 ARIFICIAL INELLIGENCE SPRING 4 Suppo Veco Machine O, Kenel Machine Diciminan-baed mehod olean cla boundaie Suppo veco coni of eample cloe o bounday Kenel compue imilaiy beeen eample
More informationQuantum Mechanics. Wave Function, Probability Density, Propagators, Operator, Eigen Value Equation, Expectation Value, Wave Packet
Quanum Mechanics Wave Funcion, Pobabiliy Densiy, Poagaos, Oeao, igen Value quaion, ecaion Value, Wave Packe Aioms fo quanum mechanical desciion of single aicle We conside a aicle locaed in sace,y,z a ime
More informationTwo figures are similar fi gures when they have the same shape but not necessarily the same size.
NDIN O PIION. o be poficient in math, ou need to ue clea definition in dicuion with othe and in ou own eaoning. imilait and anfomation ential uetion When a figue i tanlated, eflected, otated, o dilated
More informationCHAPTER 17. Solutions for Exercises. Using the expressions given in the Exercise statement for the currents, we have
CHATER 7 Slutin f Execie E7. F Equatin 7.5, we have B gap Ki ( t ) c( θ) + Ki ( t ) c( θ 0 ) + Ki ( t ) c( θ 40 a b c ) Uing the expein given in the Execie tateent f the cuent, we have B gap K c( ωt )c(
More informationDepartment of Chemical Engineering University of Tennessee Prof. David Keffer. Course Lecture Notes SIXTEEN
D. Keffe - ChE 40: Hea Tansfe and Fluid Flow Deamen of Chemical Enee Uniesi of Tennessee Pof. Daid Keffe Couse Lecue Noes SIXTEEN SECTION.6 DIFFERENTIL EQUTIONS OF CONTINUITY SECTION.7 DIFFERENTIL EQUTIONS
More informationIrrItrol Products 2016 catalog
l Ps Valves 205, 200 an 2500 eies Valves M Pa Nmbe -205F 1" n-line E Valve w/ FC - se 2500 eies 3* -200 1" E n-line Valve w/ FC F x F 3-200F 1" n-line Valve w/ FC F x F -2500 1" E Valve w/ FC F x F -2500F
More informationFeedback Couplings in Chemical Reactions
Feedback Coulings in Chemical Reacions Knud Zabocki, Seffen Time DPG Fühjahsagung Regensbug Conen Inoducion Moivaion Geneal model Reacion limied models Diffusion wih memoy Oen Quesion and Summay DPG Fühjahsagung
More informationof Manchester The University COMP14112 Hidden Markov Models
COMP42 Lecure 8 Hidden Markov Model he Univeriy of Mancheer he Univeriy of Mancheer Hidden Markov Model a b2 0. 0. SAR 0.9 0.9 SOP b 0. a2 0. Imagine he and 2 are hidden o he daa roduced i a equence of
More informationProbabilistic number theory : A report on work done. What is the probability that a randomly chosen integer has no square factors?
Pobabilistic numbe theoy : A eot on wo done What is the obability that a andomly chosen intege has no squae factos? We can constuct an initial fomula to give us this value as follows: If a numbe is to
More informationAlgebra 2A. Algebra 2A- Unit 5
Algeba 2A Algeba 2A- Ui 5 ALGEBRA 2A Less: 5.1 Name: Dae: Plymial fis O b j e i! I a evalae plymial fis! I a ideify geeal shapes f gaphs f plymial fis Plymial Fi: ly e vaiable (x) V a b l a y a :, ze a
More informationNotes on Inductance and Circuit Transients Joe Wolfe, Physics UNSW. Circuits with R and C. τ = RC = time constant
Nes n Inducance and cu Tansens Je Wlfe, Physcs UNSW cus wh and - Wha happens when yu clse he swch? (clse swch a 0) - uen flws ff capac, s d Acss capac: Acss ess: c d s d d ln + cns. 0, ln cns. ln ln ln
More informationFI 2201 Electromagnetism
FI Electomagnetim Aleande A. Ikanda, Ph.D. Phyic of Magnetim and Photonic Reeach Goup ecto Analyi CURILINEAR COORDINAES, DIRAC DELA FUNCION AND HEORY OF ECOR FIELDS Cuvilinea Coodinate Sytem Cateian coodinate:
More informationEstimation and Confidence Intervals: Additional Topics
Chapte 8 Etimation and Confidence Inteval: Additional Topic Thi chapte imply follow the method in Chapte 7 fo foming confidence inteval The text i a bit dioganized hee o hopefully we can implify Etimation:
More informationLecture 3. Electrostatics
Lecue lecsics In his lecue yu will len: Thee wys slve pblems in elecsics: ) Applicin f he Supepsiin Pinciple (SP) b) Applicin f Guss Lw in Inegl Fm (GLIF) c) Applicin f Guss Lw in Diffeenil Fm (GLDF) C
More informationPolarization Basics E. Polarization Basics The equations
Plazan Ba he equan [ ω δ ] [ ω δ ] eeen a a f lane wave: he w mnen f he eleal feld f an wave agang n he z den, n neeal mnhma. he amlude, and hae δ, fluuae lwl wh ee he ad llan f he ae ω. z Plazan Ba [
More informationSection 25 Describing Rotational Motion
Section 25 Decibing Rotational Motion What do object do and wh do the do it? We have a ve thoough eplanation in tem of kinematic, foce, eneg and momentum. Thi include Newton thee law of motion and two
More informationOrthogonal Signals With orthogonal signals, we select only one of the orthogonal basis functions for transmission:
4..4 Orthogonal, Biorthogonal and Simplex Signal 4.- In PAM, QAM and PSK, we had only one ai function. For orthogonal, iorthogonal and implex ignal, however, we ue more than one orthogonal ai function,
More informationAn Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants
An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue
More informationwhich represents a straight line whose slope is C 1.
hapte, Slutin 5. Ye, thi claim i eanable ince in the abence any heat eatin the ate heat tane thugh a plain wall in teady peatin mut be cntant. But the value thi cntant mut be ze ince ne ide the wall i
More informationME 3600 Control Systems Frequency Domain Analysis
ME 3600 Cntl Systems Fequency Dmain Analysis The fequency espnse f a system is defined as the steady-state espnse f the system t a sinusidal (hamnic) input. F linea systems, the esulting utput is itself
More informationBrace-Gatarek-Musiela model
Chaper 34 Brace-Gaarek-Musiela mdel 34. Review f HJM under risk-neural IP where f ( T Frward rae a ime fr brrwing a ime T df ( T ( T ( T d + ( T dw ( ( T The ineres rae is r( f (. The bnd prices saisfy
More informationElastic and Inelastic Collisions
laic and Inelaic Colliion In an LASTIC colliion, energy i conered (Kbefore = Kafer or Ki = Kf. In an INLASTIC colliion, energy i NOT conered. (Ki > Kf. aple: A kg block which i liding a 0 / acro a fricionle
More information1 Adjusted Parameters
1 Adjued Parameer Here, we li he exac calculaion we made o arrive a our adjued parameer Thee adjumen are made for each ieraion of he Gibb ampler, for each chain of he MCMC The regional memberhip of each
More informationÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s
MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN
More information1 Spherical multipole moments
Jackson notes 9 Spheical multipole moments Suppose we have a chage distibution ρ (x) wheeallofthechageiscontained within a spheical egion of adius R, as shown in the diagam. Then thee is no chage in the
More informationProblem Set #10 Math 471 Real Analysis Assignment: Chapter 8 #2, 3, 6, 8
Poblem Set #0 Math 47 Real Analysis Assignment: Chate 8 #2, 3, 6, 8 Clayton J. Lungstum Decembe, 202 xecise 8.2 Pove the convese of Hölde s inequality fo = and =. Show also that fo eal-valued f / L ),
More information