The Quantum X-ray Compton Free Electron Laser
|
|
- Marvin Banks
- 6 years ago
- Views:
Transcription
1 The Quatum X-ray Compto Free Electro Laer Kazuha NAKAJIMA Hgh Eergy Accelerator Reearch Orgazato (KEK) 1-1 Oho, Tukuba, Ibarak, 5-81 Japa Igor V. SMETANIN P. N. Lebedev Phyc Ittute Lek propect 5, Mocow, Rua The quatum operato mode the X-ray Compto free-electro laer (FEL) preeted. Th FEL mode emerge whe the quatum emo exceed the electro beam eergy pread ad FEL homogeeou lewdth, determed by the optcal udulator legth. Such a FEL become a two-level quatum ocllator wth a completely verted actve medum. I the olear teracto regme, vero ca be completely removed a gle pa, aalogy wth π- pule formato coheretly amplfyg medum. Etmate how the quatum FEL provde a promg compact hgh-power hgh-brghte ource of coheret x-ray radato. The deg parameter for the quatum FEL are propoed for a compact hgh brghte coheret X-ray radato ource PACS Code: 41.6.Cr, 4.5.-p, 4.55.Vc, 5.8.Ph, f 1. Itroducto. Sce the demotrato of the frt FEL, lag thee devce ha bee acheved over a broad frequecy rage. It ha bee foud that mot of the expermetal reult ca be explaed by both the quatum ad clacal theore [1,]. It wa accepted that the complete agreemet betwee the reult of the clacal ad quatum approache gfe that a FEL eetally a clacal devce, more ak to covetoal devce of clacal electroc, rather tha a trcally quatum ocllator. I th paper, we ted to how that quatum effect become domat at defte codto the x-ray Compto FEL. The quatum ature of laer-partcle teracto free-electro laer become crucal whe the laer quata exceed the electro beam eergy pread ad FEL homogeeou lewdth, determed by the umber of udulator perod. Such a FEL become a two-level quatum ocllator wth a completely verted actve medum. I the olear teracto regme, vero ca be completely removed a gle pa, aalogy wth π-pule formato coheretly amplfyg medum. Poble tet expermetal cheme baed o a hgh peak power laer ad electro accelerator are dcued.
2 . Clacal ad quatum FEL operato mode The quatum ature ay laer - matter teracto proce revealed whe the tate of materal ytem chage gfcatly a a reult of photo aborpto or emo evet. Or, other word, whe the charactertc eergy cale of materal (atomc, molecular, electro, etc.) ytem of the ame order of magtude a the radato quatum. I free-electro laer, uch a charactertc eergy cale determed by the codto of a effectve teracto of electro beam wth the low poderomotve potetal wave, whch formed by the udulator ad gal feld. I the X-ray Compto FEL, the hgh-tety laer pule cattered by couter propagatg relatvtc electro beam []. The depedece of the emo ad aborpto probablte for hghfrequecy photo FEL o the beam eergy,.e., laer aborpto ad emo le, are thu of reoat ature. The ceter of aborpto (a) ad emo (e) le are at eerge εae, = ε ± η ω /, where the eergy ε = mc ( 1ω / kc) correpod to the ychrom wth the poderomotve wave, of whch frequecy ω = ω ω ad wave umber k = k + k, where ω, ad k, are frequece ad wave umber of pumpg () ad gal () wave repectvely [1]. The quatum properte of a FEL are thu determed by the rato of the eparato ηω betwee the aborpto ad emo le ad ther effectve wdth ε/ ε max{ /, γ / γ, Θ = 14N < > /}, whch caued by the fte legth of teracto rego L = Nλ (homogeeou broadeg, ~1/4N), ad homogeeou broadeg due to the beam eergy pread γ / γ ad dvergece < Θ >, caued by beam emttace. It coveet to troduce the quatum parameter η [4] ω η = η ε (1) I the clacal FEL operato regme η << 1, the emo ad aborpto profle practcally overlap (ee Fg.1a). The tate of electro caot chage gfcatly a the probablte of a drect Compto catterg ad a duced proce for each electro are practcally the ame. The ga coeffcet formula doe ot cota the Plak cotat ad agree wth the formula derved from clacal theory [.5]. I the oppote lmt η >> 1, whch the cae of our partcular teret, the emo ad aborpto le are completely eparated, ee Fg.1b. The tate of electro chage dramatcally wth the cale of ηω, f the electro eergy ear the emo maxmumε e, t caot aborb a quatum ad vce vera. I th regme, the quatum effect become domat. The FEL dyamc reduce to the quatum trato betwee thee two eergy level, ε e ad ε a [4]. A adequate decrpto of lag th regme thu requre the quatum theory ad ca ot be doe wth the clacal electrodyamc. For the cae of the tal laer quatum ηω ~1eV ad Raylegh legth L~1cm, the FEL lewdth determed maly by the beam eergy pread, ad the Compto FEL wll operate the quatum regme at γ > γ / γ, that correpod to the beam electro eergy of ~6MeV for the eergy pread of ~.1%. The emtted quata are thu the X-ray rego, ηω 4γ ηω 4keV.
3 . Electro a the quatum aharoc ocllator. To decrbe correctly two-level X-ray FEL dyamc, the Kle - Gordo equato hould be aalyzed aocato wth the wave equato for the X-ray gal ampltude [5]. Takg to accout the mometum ad eergy coervato law, ε( p ) = ( p c + m c ) p = p + k / 4 1, () where p the tal mometum of electro, oe ca repreet the electro wave fucto the form Ψ = mc Ωε( p ) 1 / a( z, t)exp{ [ pz ε( p) t]}, () η whch lead to a et of equato for ampltude of the eergy level gve by Eq. () [5] a = ga 1exp( t) + g+ 1a+ 1exp( + 1t) g = ( e / η) A A ( ε ε ) 1 / 1 (4) Here, A, are the vector potetal ampltude of the pumpg () ad X-ray gal () coheret wave. I fact, Eq. ()-(4) decrbe a aharmoc ocllator, whch characterzed by the detug from the reoace, creag wth the umber of level = ( ε ε 1)/ ηω 4 c ε( p) εe + ηω λ ε (5) At the teracto legth, mc L > 1 λ π ηω γ ~ 497. / γ cm, (6) all the expoet Eq. (4) wth ocllate uffcetly fat o that the exctato of correpodet tate eglgble. A a reult, emo of coheret x-ray photo related to the tmulated trato betwee oly two eergy level =, 1 [4]. 4. Two-level FEL coheret olear dyamc (X-ray π-pule geerato) I the quatum regme the Compto FEL become a two-level quatum ocllator a completely verted actve medum [4]. Such a quatum ytem kow very well the covetoal quatum electroc, ad t atural to apply a correpodet well-elaborated techque to our aaly. I th techque, Eq.(4) the two-level lmt form the Maxwell - Bloch ytem of equato aocato wth the wave equato for the X-ray gal ampltude, the oluto to whch uually eekg term of pule quare [6] z µ / / χ() z = E() z dz cη, µ = ee/ mω ω 1 (7)
4 Here µ a effectve dpole momet of the two-level ytem. The eergy tate ampltude for tally completely verted ytem the are a = co( χ ( z) / ), a 1 =( χ ( z) / ), (8) ad the wave equato become the pedulum equato χ π = α χ, α = 4 z e e E ηωωmc 1 / (9) It eay to ee that α, fact, the lear ga coeffcet. Note that the ga coeffcet formula cota the Plak cotat explct form. It mea that the regme uder coderato ha eetally quatum ature ad qualtatvely dffer from all the covetoal FEL operato regme. The Eq. (9) olear. I aocato wth materal equato (8), t decrbe the tmulated emo of coheret X-ray quata the collectve olear coheret teracto of the laer wth the electro beam. The coherece emerge due to all the electro the ame quatum tate durg the teracto. The Eq. (7)-(9) reveal a well-kow the olear optc effect of π -pule geerato: whe the total quare of the pule reache the value χ( L ) = π, the ytem become the lower eergy tate, ad the complete removal of vero emerge. For the tety of the x-ray gal, we have from Eq. (9) I = d αl I κ, κ ( ) κ = 1/( 1+ I( )/ Ib ) (1) whch the perodcal fucto of the teracto legth L. The maxmum value are I ( L ) = I ( ) + I (11) opt b Here Ib = eηω c the maxmum X-ray tety whch ca be emtted by a buch of two-level electro. The phycal terpretato of Eq. (11) clear a a reult of the collectve coheret laerbeam teracto, every two-level electro emt oe X-ray quata. Note, the maxmum output tety (11) doe ot deped o the pump laer tety, but jut o the dety of electro beam, whch qute dfferet from the covetoal FEL clacal regme. I Fg., the depedece of gal tety o the logtudal coordate how at three dfferet pump laer tete. The calculato are made for the electro beam of the e = 1 15 cm ad eergy γ = 1, ad for 1 tal x-ray photo. Oe ca ee that the mot of X-ray quata are emtted the olear regme whe the collectve teracto become domat. The optmum teracto legth, correpodg to the X-ray π -pule determed by the halfperod of the Jakob d-fucto
5 L K( κ) κα 1 (1) opt = where K(x) the complete ellptc tegral. I Fg, the depedece of optmum teracto legth o the pump laer tety how for the above parameter ad three dfferet electro beam dete ( cm, 1 15 cm, cm ). Dcuo I cocluo, let u dcu ome etmate. The beam eergy pread of.1% lead to the lower lmt of beam eergy of ~5 MeV. The correpodet eergy of x-ray quata are the rego ~4keV (for tal laer wavelegth of ~ 1µm). For the buch of ~1 1 electro (1.6C) the eergy of emtted coheret X-ray radato ~64µJ, or term of tety I,max ~ W/cm at the electro dety e = 1 15 cm. The teracto legth at pump tety of ~ 1 W / cm ~ cm (ee Fg.) whch allow to focu the electro beam ad reach uffcetly hgh beam dete. Suppog the beam dameter of ~1µm, the dvergece of X-ray pule ~.5µrad that lead to the hgh brghte of the quatum x-ray FEL. Really, f we defe the brghte a the photo flux the phercal agle determed by dvergece, we have ~1.6 1 mm mrad ec 1 at the pule durato of 1 fec, whch comparable to SLAC/LCLS X-ray ource. The above parameter, however, may ot be uque ad avalable wth the curret techologe. Ug the hgh-power table-top femtoecod laer, the tete >1 1 W / cm are ow realzed. The race-track mcrotro ca provde electro buche of the charge of 1-5C ad eergy the rego 5-15 MeV at uffcetly low eergy pread (<.1%) ad emttace. Thu, the realzato of the Compto free-electro laer the quatum operato regme ca provde u a compact ource of hgh-brghte coheret X-ray radato. Referece [1]. T.C.Marhall. Free-Electro Laer (Macmlla Publ.Co, 1985). []. C.W.Robero, P.Spragle. Phy Flud B1 (1989) 1. []. P.Dobach, P.Meytre, ad M.O.Scully. IEEE J.Quat.Electro. 19 (198) 181; J.Gea- Baacloche, G.T.Moore, R.R.Schlchter et al. IEEE J.Quat.Electro. (1987) [4]. I. V. Smeta, Laer Phyc, 7, 18 (1997); E.M.Beleov, S.V.Grgor'ev, A.V.Nazark, ad I.V.Smeta. Quatum Electroc (199) 7; JETP 78 (1994) 41. [5]. M.V.Fedorov. Progr. Quat. Electro. 7 (1981) 7; M.V.Fedorov ad J.McIver. JETP 49 (1979) 11. [6]. L. Alle, J. H. Eberly. Optcal reoace ad two-level atom. Wley, 1975.
6 Fgure 1. The depedece of x-ray quatum aborpto ad emo probablte W o the electro eergyε (. e., FEL aborpto ad emo le recprocal poto ) the two lmtg cae: a) the clacal FEL operato regme, η << 1; b) the quatum FEL operato regme, η >> 1. W W a) b) ε ε a ε e ε ε a ε e
7 Fgure. The depedece of the ormalzed x-ray gal tety I ()/ z I o the logtudal coordate z at the pump laer tete (a) 1 19 W/cm, (b) 1 W/cm, (c) 1 W/cm for the beam eergy γ = 1, the beam dety = e 1 15 cm ad the umber of tal X-ray photo - 1. b I (z)/i b 1.8 (c) (b) (a) Iteracto legth z [cm]
8 Fg.. The depedece of the optmum teracto legth L opt o laer tety ( ut 1 19 W/cm ) at the electro beam dete (a) cm, (b) beam eergy γ = 1, ad the umber of tal X-ray photo cm, (c) cm for the L opt (cm) (b) (a) (c) Laer tety [1 19 W/cm ]
Simple Linear Regression Analysis
LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such
More information( ) Thermal noise ktb (T is absolute temperature in kelvin, B is bandwidth, k is Boltzamann s constant) Shot noise
OISE Thermal oe ktb (T abolute temperature kelv, B badwdth, k Boltzama cotat) 3 k.38 0 joule / kelv ( joule /ecod watt) ( ) v ( freq) 4kTB Thermal oe refer to the ketc eergy of a body of partcle a a reult
More informationLinear Approximating to Integer Addition
Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for
More informationReaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4
CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.
More informationLayered structures: transfer matrix formalism
Layered tructure: trafer matrx formalm Iterface betwee LI meda Trafer matrx formalm Petr Kužel Practcally oly oe formula to be kow order to calculate ay tructure Applcato: Atreflectve coatg Delectrc mrror,
More informationMOLECULAR VIBRATIONS
MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal
More informationAbsorption in Solar Atmosphere
Absorpto Solar Atmosphere A black body spectrum emtted from solar surface causes exctato processes o atoms the solar atmosphere. Ths tur causes absorpto of characterstc wavelegths correspodg to those atoms
More informationThe E vs k diagrams are in general a function of the k -space direction in a crystal
vs dagram p m m he parameter s called the crystal mometum ad s a parameter that results from applyg Schrödger wave equato to a sgle-crystal lattce. lectros travelg dfferet drectos ecouter dfferet potetal
More informationCS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1
CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The
More informationINTRODUCTION TO INERTIAL CONFINEMENT FUSION
INRODUCION O INERIAL CONFINEMEN FUSION R. Bett Lecture 1 Formula or hot pot temperature Reved dyamc model ad gto codto Etropy he ormula below wa derved Lecture 9. It repreet the maxmum value o the cetral
More informationTrignometric Inequations and Fuzzy Information Theory
Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,
More informationX-ray vortices from nonlinear inverse Thomson scattering
JLab semar 8/7/6 X-ray vortces from olear verse Thomso scatterg Yoshtaka Tara Natoal Isttute of Advaced Idustral Scece ad Techology (AIST) Vstg scetst: Msssspp State Uversty ad Jefferso Lab. Optcal vortex
More informationEstimation of Stress- Strength Reliability model using finite mixture of exponential distributions
Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur
More informationFunctions of Random Variables
Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,
More informationOn a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging
Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt
More informationbest estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best
Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
More informationECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013
ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport
More informationOn modifications of the CSC GM code (R364n)
O modfcatos of the CSC GM code (R364) Y. Satou Jue 3, 202 Abstract The code CSC GM was modfed to hadle proto ad eutro destes separately for both target ad core ucle so as to allow drect use of proto-proto
More information8 The independence problem
Noparam Stat 46/55 Jame Kwo 8 The depedece problem 8.. Example (Tua qualty) ## Hollader & Wolfe (973), p. 87f. ## Aemet of tua qualty. We compare the Huter L meaure of ## lghte to the average of coumer
More informationTheory study about quarter-wave-stack dielectric mirrors
Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave
More informationQuiz 1- Linear Regression Analysis (Based on Lectures 1-14)
Quz - Lear Regreo Aaly (Baed o Lecture -4). I the mple lear regreo model y = β + βx + ε, wth Tme: Hour Ε ε = Ε ε = ( ) 3, ( ), =,,...,, the ubaed drect leat quare etmator ˆβ ad ˆβ of β ad β repectvely,
More informationA Method for Damping Estimation Based On Least Square Fit
Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato
More informationCHAPTER VI Statistical Analysis of Experimental Data
Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca
More informationEllipsometry Overview
llpsometry Overvew ~ R Δ p ρ = ta( Ψ) e = ~ Rs ñ(λ) = (λ) + k(λ) ε = ñ 2 p-plae s-plae p-plae plae of cdece s-plae llpsometry buldg-blocks Lght ad Polarzato Materals / Optcal Costats Iteracto of Lght wth
More informationLecture 25 Highlights Phys 402
Lecture 5 Hhlht Phy 40 e are ow o to coder the tattcal mechac of quatum ytem. I partcular we hall tudy the macrocopc properte of a collecto of may (N ~ 0 detcal ad dtuhable Fermo ad Boo wth overlapp wavefucto.
More informationChapter 14 Logistic Regression Models
Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as
More informationTemperature Memory Effect in Amorphous Shape Memory Polymers. Kai Yu 1, H. Jerry Qi 1, *
Electroc Supplemetary Materal (ESI) for Soft Matter. h joural he Royal Socety of Chemtry 214 Supplemetary Materal for: emperature Memory Effect Amorphou Shape Memory Polymer Ka Yu 1, H. Jerry Q 1, * 1
More informationChapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II
CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh
More informationLecture 9: Tolerant Testing
Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have
More informationKR20 & Coefficient Alpha Their equivalence for binary scored items
KR0 & Coeffcet Alpha Ther equvalece for bary cored tem Jue, 007 http://www.pbarrett.et/techpaper/r0.pdf f of 7 Iteral Cotecy Relablty for Dchotomou Item KR 0 & Alpha There apparet cofuo wth ome dvdual
More informationCollapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder
Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,
More informationMultiple Choice Test. Chapter Adequacy of Models for Regression
Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to
More informationA New Measure of Probabilistic Entropy. and its Properties
Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com
More informationT-DOF PID Controller Design using Characteristic Ratio Assignment Method for Quadruple Tank Process
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Electrcal ad Iformato Egeerg Vol:, No:, 7 T-DOF PID Cotroller Deg ug Charactertc Rato Agmet Method for Quadruple Tak Proce Tacha Sukr, U-tha
More informationSignal,autocorrelation -0.6
Sgal,autocorrelato Phase ose p/.9.3.7. -.5 5 5 5 Tme Sgal,autocorrelato Phase ose p/.5..7.3 -. -.5 5 5 5 Tme Sgal,autocorrelato. Phase ose p/.9.3.7. -.5 5 5 5 Tme Sgal,autocorrelato. Phase ose p/.8..6.
More informationDATE: 21 September, 1999 TO: Jim Russell FROM: Peter Tkacik RE: Analysis of wide ply tube winding as compared to Konva Kore CC: Larry McMillan
M E M O R A N D U M DATE: 1 September, 1999 TO: Jm Russell FROM: Peter Tkack RE: Aalyss of wde ply tube wdg as compared to Kova Kore CC: Larry McMlla The goal of ths report s to aalyze the spral tube wdg
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationSolid State Device Fundamentals
Sold State Devce Fudametals 9 polar jucto trasstor Sold State Devce Fudametals 9. polar Jucto Trasstor NS 345 Lecture ourse by Alexader M. Zatsev alexader.zatsev@cs.cuy.edu Tel: 718 98 81 4N101b Departmet
More informationPeriodic Table of Elements. EE105 - Spring 2007 Microelectronic Devices and Circuits. The Diamond Structure. Electronic Properties of Silicon
EE105 - Srg 007 Mcroelectroc Devces ad Crcuts Perodc Table of Elemets Lecture Semcoductor Bascs Electroc Proertes of Slco Slco s Grou IV (atomc umber 14) Atom electroc structure: 1s s 6 3s 3 Crystal electroc
More informationSummary of the lecture in Biostatistics
Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the
More informationA Helmholtz energy equation of state for calculating the thermodynamic properties of fluid mixtures
A Helmholtz eergy equato of state for calculatg the thermodyamc propertes of flud mxtures Erc W. Lemmo, Reer Tller-Roth Abstract New Approach based o hghly accurate EOS for the pure compoets combed at
More informationEconometric Methods. Review of Estimation
Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators
More information10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n
0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke
More informationCIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights
CIS 800/002 The Algorthmc Foudatos of Data Prvacy October 13, 2011 Lecturer: Aaro Roth Lecture 9 Scrbe: Aaro Roth Database Update Algorthms: Multplcatve Weghts We ll recall aga) some deftos from last tme:
More informationStationary states of atoms and molecules
Statoary states of atos ad olecules I followg wees the geeral aspects of the eergy level structure of atos ad olecules that are essetal for the terpretato ad the aalyss of spectral postos the rotatoal
More informationUniform magnetic susceptibilities
Uform magetc susceptbltes Typcal behavors ad measuremet techques SUSCPTIILIT UNIFORM & MAGNTOMTRIS page 1 - M ICFP- lectroc propertes of solds (Fabrce ert Varous behavors of M(H magetzato M Lear respose
More informationOn the energy of complement of regular line graphs
MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationDiode DC Non-ideal Characteristics
Dode DC No-deal Characterstcs - e qv/kt V reverse curret ot saturated (geerato the deleto rego) dode breakdow 2 3 recombato the deleto rego l( ) 5 hgh-level jecto of morty carrers l( ) sloeq/ηkt V η η2
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
More informationInternational Journal of Pure and Applied Sciences and Technology
It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map
More informationLaboratory I.10 It All Adds Up
Laboratory I. It All Adds Up Goals The studet wll work wth Rema sums ad evaluate them usg Derve. The studet wll see applcatos of tegrals as accumulatos of chages. The studet wll revew curve fttg sklls.
More informationEffects of nonlinear gradient index on radiative heat transfer in a one-dimensional medium by the DRESOR method
Joural of Phyc: Coferece Sere Effect of olear gradet dex o radatve heat trafer a oe-dmeoal medum by the DRESOR method To cte th artcle: Z C Wag et al 0 J. Phy.: Cof. Ser. 369 0004 Related cotet - Fte volume
More informationIII-16 G. Brief Review of Grand Orthogonality Theorem and impact on Representations (Γ i ) l i = h n = number of irreducible representations.
III- G. Bref evew of Grad Orthogoalty Theorem ad mpact o epresetatos ( ) GOT: h [ () m ] [ () m ] δδ δmm ll GOT puts great restrcto o form of rreducble represetato also o umber: l h umber of rreducble
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationENGI 4421 Propagation of Error Page 8-01
ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.
More informationLINEAR REGRESSION ANALYSIS
LINEAR REGRESSION ANALYSIS MODULE V Lecture - Correctg Model Iadequaces Through Trasformato ad Weghtg Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur Aalytcal methods for
More informationTRANSIENT ANALYSIS OF ELECTRIC POWER CIRCUITS BY THE CLASSICAL METHOD IN THE EXAMPLES
MINISTY OF EDUCATION AND SCIENCE OF UKAINE NATIONA AVIATION UNIVESITY EECTICA AND IGHTING ENGINEEING DEPATMENT A.A.ZEENKOV TANSIENT ANAYSIS OF EECTIC POWE CICUITS BY THE CASSICA METHOD IN THE EXAMPES Trag
More informationC-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory
ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?
More information,...R) where r = H (1.4) + Tn + Vof. etic energy terms are: here. ZA ZB Vee = & Vnn = (1.6) (1.4) H = Te + Tn + Ven + Vee + Vnn. i A r i.
where r H r, r (r,,...r), r, RE R (r, RR),.., R represet theelectros. electro (.3) ad uclear coor,all,.ucle ates of ad all Itutvely, ollowgdates, SE: respectvely, ad H (r, R) E (r, R), we feel t are very
More informationLecture Notes Types of economic variables
Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte
More informationBlock-Based Compact Thermal Modeling of Semiconductor Integrated Circuits
Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud
More informationIntroduction to local (nonparametric) density estimation. methods
Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest
More informationCHAPTER 3 POSTERIOR DISTRIBUTIONS
CHAPTER 3 POSTERIOR DISTRIBUTIONS If scece caot measure the degree of probablt volved, so much the worse for scece. The practcal ma wll stck to hs apprecatve methods utl t does, or wll accept the results
More informationCarbonyl Groups. University of Chemical Technology, Beijing , PR China;
Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag
More informationAhmed Elgamal. MDOF Systems & Modal Analysis
DOF Systems & odal Aalyss odal Aalyss (hese otes cover sectos from Ch. 0, Dyamcs of Structures, Al Chopra, Pretce Hall, 995). Refereces Dyamcs of Structures, Al K. Chopra, Pretce Hall, New Jersey, ISBN
More informationChapter 4 (Part 1): Non-Parametric Classification (Sections ) Pattern Classification 4.3) Announcements
Aoucemets No-Parametrc Desty Estmato Techques HW assged Most of ths lecture was o the blacboard. These sldes cover the same materal as preseted DHS Bometrcs CSE 90-a Lecture 7 CSE90a Fall 06 CSE90a Fall
More informationCH E 374 Computational Methods in Engineering Fall 2007
CH E 7 Computatoal Methods Egeerg Fall 007 Sample Soluto 5. The data o the varato of the rato of stagato pressure to statc pressure (r ) wth Mach umber ( M ) for the flow through a duct are as follows:
More informationELECTRON HEATING IN THE CONDUCTION BAND OF INSULATORS UNDER FEMTOSECOND LASER PULSE IRRADIATION
LCTRON HATING IN TH CONDUCTION BAND OF INSULATORS UNDR FMTOSCOND LASR PULS IRRADIATION Ilya Bogatyrev H. Bacau A.N. Belsy I.B. Bogatyrev J. Gaud G. Geoffroy S. Guzard P. Mart Yu.V. Popov A.N. Vasl ev B.N.
More information2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.
.5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely
More information1 Lyapunov Stability Theory
Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may
More informationAnalysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems
Char for Network Archtectures ad Servces Prof. Carle Departmet of Computer Scece U Müche Aalyss of System Performace IN2072 Chapter 5 Aalyss of No Markov Systems Dr. Alexader Kle Prof. Dr.-Ig. Georg Carle
More informationNon-degenerate Perturbation Theory
No-degeerate Perturbato Theory Proble : H E ca't solve exactly. But wth H H H' H" L H E Uperturbed egevalue proble. Ca solve exactly. E Therefore, kow ad. H ' H" called perturbatos Copyrght Mchael D. Fayer,
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
More informationEVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM
EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal
More informationPoint Estimation: definition of estimators
Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.
More informationInvestigating Cellular Automata
Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte
More informationMultiple Regression. More than 2 variables! Grade on Final. Multiple Regression 11/21/2012. Exam 2 Grades. Exam 2 Re-grades
STAT 101 Dr. Kar Lock Morga 11/20/12 Exam 2 Grades Multple Regresso SECTIONS 9.2, 10.1, 10.2 Multple explaatory varables (10.1) Parttog varablty R 2, ANOVA (9.2) Codtos resdual plot (10.2) Trasformatos
More informationLecture 3. Sampling, sampling distributions, and parameter estimation
Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called
More informationStrong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity
BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout
More information6.4.5 MOS capacitance-voltage analysis
6.4.5 MOS capactace-voltage aalyss arous parameters of a MOS devce ca be determed from the - characterstcs.. Type of substrate dopg. Isulator capactace = /d sulator thckess d 3. The mmum depleto capactace
More informationObjectives of Multiple Regression
Obectves of Multple Regresso Establsh the lear equato that best predcts values of a depedet varable Y usg more tha oe eplaator varable from a large set of potetal predctors {,,... k }. Fd that subset of
More informationSemiconductor Device Physics
1 Semcoductor evce Physcs Lecture 7 htt://ztomul.wordress.com 0 1 3 Semcoductor evce Physcs Chater 6 Jucto odes: I-V Characterstcs 3 Chater 6 Jucto odes: I-V Characterstcs Qualtatve ervato Majorty carrers
More informationENGI 3423 Simple Linear Regression Page 12-01
ENGI 343 mple Lear Regresso Page - mple Lear Regresso ometmes a expermet s set up where the expermeter has cotrol over the values of oe or more varables X ad measures the resultg values of aother varable
More informationf f... f 1 n n (ii) Median : It is the value of the middle-most observation(s).
CHAPTER STATISTICS Pots to Remember :. Facts or fgures, collected wth a defte pupose, are called Data.. Statstcs s the area of study dealg wth the collecto, presetato, aalyss ad terpretato of data.. The
More informationLecture 3 Probability review (cont d)
STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto
More informationReliability and Cost Analysis of a Series System Model Using Fuzzy Parametric Geometric Programming
P P P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Iue 8, October 204. Relablty ad Cot Aaly of a Sere Syte Model Ug Fuzzy Paraetrc Geoetrc Prograg Medhat El-Dacee P 2 2 P, Fahee
More informationReflection and transmission of light at a curved interface: coherent state approach. N.I. Petrov
Reflecto ad trasmsso of lght at a curved terface: coheret state approach N.I. Petrov Lea Street, 9-39, Istra, Moscow Rego 435, Russa Phase-space procedure based o coheret state represetato s proposed for
More informationMean is only appropriate for interval or ratio scales, not ordinal or nominal.
Mea Same as ordary average Sum all the data values ad dvde by the sample sze. x = ( x + x +... + x Usg summato otato, we wrte ths as x = x = x = = ) x Mea s oly approprate for terval or rato scales, ot
More informationDimensionality Reduction and Learning
CMSC 35900 (Sprg 009) Large Scale Learg Lecture: 3 Dmesoalty Reducto ad Learg Istructors: Sham Kakade ad Greg Shakharovch L Supervsed Methods ad Dmesoalty Reducto The theme of these two lectures s that
More informationA Result of Convergence about Weighted Sum for Exchangeable Random Variable Sequence in the Errors-in-Variables Model
AMSE JOURNALS-AMSE IIETA publcato-17-sere: Advace A; Vol. 54; N ; pp 3-33 Submtted Mar. 31, 17; Reved Ju. 11, 17, Accepted Ju. 18, 17 A Reult of Covergece about Weghted Sum for Exchageable Radom Varable
More informationLecture 2 - What are component and system reliability and how it can be improved?
Lecture 2 - What are compoet ad system relablty ad how t ca be mproved? Relablty s a measure of the qualty of the product over the log ru. The cocept of relablty s a exteded tme perod over whch the expected
More informationUNIVERSITY OF CALIFORNIA, BERKELEY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES. Midterm I
UNIVERSITY OF CALIFORNIA, BERKELEY EPARTMENT OF ELECTRICAL ENGINEERING AN COMPUTER SCIENCES EECS 130 Professor Chemg Hu Fall 009 Mdterm I Name: Closed book. Oe sheet of otes s allowed. There are 8 pages
More informationTo use adaptive cluster sampling we must first make some definitions of the sampling universe:
8.3 ADAPTIVE SAMPLING Most of the methods dscussed samplg theory are lmted to samplg desgs hch the selecto of the samples ca be doe before the survey, so that oe of the decsos about samplg deped ay ay
More informationIdeal multigrades with trigonometric coefficients
Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all
More informationAcoustics Field and Active Structural Acoustic Control Modeling in ANSYS
Acoutc Feld ad Actve Structural Acoutc Cotrol Modelg ANSYS M. S. Kha, C. Ca ad K. C. Hug Ittute of Hgh erformace Computg 89-C Scece ark Drve #0-/, he Rutherford Sgapore Scece ark, Sgapore 86 Abtract: h
More information