Laboratory spectroscopy of H 3. Ben McCall Oka Ion Factory TM University of Chicago
|
|
- Amberlynn McLaughlin
- 5 years ago
- Views:
Transcription
1 Laboraory specroscopy of H 3 + Oka Io Facory TM Uiversiy of Chicago
2 Moivaios Asroomical obai frequecies for deecio & use as probe Quaum Mechaical sudy srucure of his fudameal io refie heoreical calculaios of polyaomics
3 Formaio of H 3 + H 2 laboraory plasma iersellar medium e - impac H 2 Proo Affiiy: ~ 4.4 ev ~ 1 kcal/mol ~ D(H 2 ) H 2+ + H 2 H 3+ + H H 2 cosmic ray Rae cosa: k ~ cm 3 s -1 Exohermiciy: H ~ 1.7 ev
4 Laboraory Plasma
5 Types of Molecular Specroscopy Elecroic (visible) e e Poser: Friedrich & Alijah Roaioal (microwave) Vibraioal (ifrared)
6 Vibraioal Modes of H 3 + ν 2x ν 2y Ifrared iacive Ifrared acive Degeerae ay liear combiaio
7 Vibraioal Modes of H 3 + ν 2x ν 2y ν 2+ vibraioal agular momeum
8 Quaum Numbers for H 3 + Agular momeum I uclear spi J uclear moio» k = projecio of J ; K = k l 2 vibraio I=3/2 orho I=1/2 para l-resoace : saes wih same k-l 2 mixed G k-l 2 roaioal par of J Symmery requiremes G=3 orho, G 3 para Pauli: cerai levels forbidde (J=eve, G=)
9 The ν 2 fudameal bad ν 2 sae Eergy (cm -1 ) J (J,G) {u,l} Q(1,) R(1,) R(1,1) l R(1,1) u P(3,3) 6 groud sae Eergy (cm -1 ) G 2 3 orho para G para orho
10 Experimeal work o ν 2 Iiial Deecio (Oka 198) search over wo years, over 5 cm lies, few perce deep assiged by Waso overigh ν 2 = 2521 cm Oka 1981 Waso e al Majewski e al Nakaaga e al. 199 Majewski e al McKellar & Waso 1998 FTIR absorpio FTIR emissio FTIR absorpio wide-bad J=9 113 J= Oka 198 Uy e al Joo e al. 2 Lidsay e al. 2 FTIR emissio Lowes frequecy cm -1 Coiuous sca 3 36 cm -1 15
11 The ν 2 bad as a probe of H 3 + Laboraory H 3+ elecro recombiaio rae (Amao 1988) spi coversio of H 3+ i reacios (Uy e al. 1997) ambipolar diffusio i plasmas (Lidsay, poser) Asroomy probe of plaeary ioospheres (Coerey, Miller) cofirmaio of iersellar chemisry (Herbs) measuremes of iersellar clouds (Geballe)
12 The fudameal bad Relaive Iesiy P(J) uu Spacig illusraes large roaioal cosas (B ~ 44 cm -1 ) 2:1 iesiy raios reflec spi saisical weighs (orho/para) Q Q R(J) l l R(J) u R(J) u No R() lie hree equivale spi 1/2 fermios equilaeral riagle geomery Frequecy (cm -1 ) T=4 K
13 Udersadig he ν 2 Specrum For low eergies, use perurbaio approach: E = BJ(J+1) + (C-B)K 2 -D JK J(J+1)K E = ν 2 + B J (J +1) + (C -B )K 2-2ζC K l +... use observed rasiios o fi molecular cosas For higher vibraioal eergies, his approach compleely breaks dow Variaioal calculaios based o a ab iiio poeial eergy surface!
14 Variaioal Calculaios +4ν ν 2 5ν 2 3 +ν ν ν 2 4ν ν 2 +2ν 2 3ν 2 Eergy (cm -1 ) 5 2ν 2 +ν 2 2 ν 2 Zero Poi Vibraioal Eergy R θ R θ(rad)
15 Vibraioal Bad Types +4ν ν 2 5ν 2 3 +ν ν ν 2 4ν ν 2 +2ν 2 3ν 2 Eergy (cm -1 ) Overoes: ν 2 5 Ho bad: 2ν 2 ν 2 2ν 2 2 +ν 2 Combiaio: + 2ν 2 ν 2 Fudameal: ν 2 Forbidde: θ(rad)
16 Vibraioal Overview 1 ν 2 2ν 2.1 Relaive Iesiy.1 2ν 2 ν 2 3ν 2 +2ν 2 4ν 2.1 ν 2 +ν 2 3ν 2 ν 2 +ν 2 2 +ν 2 5ν Frequecy (cm -1 ) 8 1
17 Vibraioal Overview 1.1 ν 2 FCL (3 mw) Diodes (8 mw) 2ν 2 D.F. (LiNbO 3 ) (.1 mw) Ti:Sapphire (1 W) Relaive Iesiy.1 2ν 2 ν 2 D.F. (LiIO 3 ) (2 µw) 3ν 2 +2ν 2 4ν 2.1 ν 2 +ν 2 3ν 2 ν 2 +ν 2 2 +ν 2 5ν Frequecy (cm -1 ) 8 1
18 Vibraioal Overview 1.1 ν 2 FCL (3 mw) Diodes (8 mw) 2ν 2 D.F. (LiNbO 3 ) (.1 mw) Ti:Sapphire (1 W) Relaive Iesiy.1 2ν 2 ν 2 D.F. (LiIO 3 ) (2 µw) 3ν 2 +2ν 2 4ν 2.1 ν 2 +ν 2 3ν 2 ν 2 +ν 2 2 +ν 2 5ν Frequecy (cm -1 ) 8 1
19 Ho Bads A 6 K, ~2 imes weaker ha fudameal He domiaed discharge oly 5 imes weaker Bawedi e al. (199) 72 lies of 2ν 22 ν 2 +ν 2 2ν 2 14 lies of 2ν 2 ν 2 21 lies of +ν 2 ν 2 Variaioal calculaios esseial i assigme Sucliffe 1983; Miller & Teyso 1988, 1989
20 Firs Overoe Bad: 2ν 2 Firs overoe (2ν 2 ) usually orders of magiude weaker ha fudameal I H 3+, oly abou 7 imes weaker Discovery: (i hidsigh) Majewski e al. (1987) Jupier (Trafo e al. 1989, Drossar e al. 1989) Assiged by Waso (wih aid of ho bads) Majewski e al. (1989) 47 rasiios, FTIR Xu e al. (199) rasiios observed i absorpio 2ν 2 ν 2
21 Absolue Eergy Levels Fudameal: G = 2ν Q(1,1) Ho bads: G = Overoe bad: G = ±3 ( G = -3, G = +3) ν 2 1 P(2,1) P(2,2) Absolue eergy levels 2 1 G= G=1 G=2 G=3 E 12
22 Secod Overoe Bad: 3ν 2 ~ 2 imes weaker ha fudameal Bad origi ~ 7 cm -1 Tuable diode lasers Lee e al. (1991), Verudo e al. (1994) 15 rasiios observed 3ν 2 2ν 2 ν 2 Assiged based o variaioal calculaios Miller & Teyso (1988, 1989)
23 Forbidde Bad mode oally symmeric ifrared iacive very forbidde sice & ν 2 o coupled Firs mixig erm: Birss resoace mixes levels i & ν 2 wih same J, G=3 effecive for accideal degeeracies (fairly high J) Xu e al. (1992) 9 lies ν 2 sae J=5 J=5 sae G=2 G=5 = 3178 cm -1 Lidsay e al. (2) 1 ew lies J=4 groud sae
24 Forbidde Bad +ν 2 ν 2 No as forbidde as aharmoiciy of poeial mixes +ν 2 wih oher saes (e.g. 2ν 22 ) +ν 2 ν 2 ca borrow iesiy from allowed bads (e.g. 2ν 22 ν 2 ) +ν 2 2ν 2 Xu e al. (1992) observed 21 lies ν 2
25 Combiaio Bads +2ν 22 +2ν 2 3ν 2 Highes eergy bad Weakes allowed bad 2ν 2 +ν 2 27 imes weaker ha ν 2 Tuable diode laser cm -1 ν 2
26 Observed Specrum 1. Q(1,) R(1,).8 R(3,3) 28 rasiios of +2ν 22 Relaive Iesiy.6.4 R(2,2) P(3,3) R(1,1).2 P(2,2) Q(3,) P(1,1) l P(4,4) Q(1,1) R(2,1) Q(2,1) R(3,) R(4,3) R(3,2) Q(2,2) Q(3,3) u R(1,1) Q(3,2) 2 of 2 +ν 21 P(6,6) P(5,5) Frequecy (cm -1 ) 81
27 Table of Resuls Symbol Obs Calc o-c J' <G'> ± o/p ' <v1'> <v2'> <l2'> J" k" Q(3,) o Q(1,) o R(3,3) o P(1,1) p P(2,2) p R(2,2) p P(3,3) o P(4,4) l p R(1,1) p R(4,3) o Q(1,1) p Q(2,1) p Q(3,1) p R(3,2) p R(2,1) p R(1,) o Q(2,2) p R(4,2) p Q(3,2) u p Q(4,2) u p R(3,1) p R(3,1) l p P(6,6) o R(1,1) p Q(4,3) o Q(3,3) o P(5,5) p R(4,1) p R(2,1) p R(3,) o Predicios from J. K. G. Waso
28 Table of Resuls Symbol Obs Calc o-c J' <G'> ± o/p ' <v1'> <v2'> <l2'> J" k" Q(3,) o Q(1,) o R(3,3) o P(1,1) p P(2,2) p R(2,2) p P(3,3) o P(4,4) l p R(1,1) p R(4,3) o Q(1,1) p Q(2,1) p Q(3,1) p R(3,2) p R(2,1) p R(1,) o Q(2,2) p R(4,2) p Q(3,2) u p Q(4,2) u p R(3,1) p R(3,1) l p P(6,6) o R(1,1) p Q(4,3) o Q(3,3) o P(5,5) p R(4,1) p R(2,1) p R(3,) o Predicios from J. K. G. Waso
29 +2ν 22 Eergy Levels J G* Upper Sae Eergy (cm -1 ) <l 2 > <G>
30 Breakig he Barrier o Lieariy +4ν ν 2 5ν 2 3 +ν 2 Eergy (cm -1 ) 1 5 4ν 2 3ν 2 2ν 2 ν 2 +3ν 2 +2ν 2 +ν ν 2 2 +ν θ(rad)
31 Fuure Prospecs Improvemes i Theory Hyperspherical coordiaes for lieariy (Waso) Relaivisic effecs (Jaque) No-adiabaic effecs (Polyasky & Teyso 1999) Experimeal Advaces Tiaium:Sapphire laser, Dye laser New echiques (heerodye, caviies?) 4ν 2, 5ν 2 o he horizo... 1ν 2 i he fuure??
32 Ackowledgemes Oka J. K. G. Waso Faie ad Joh Herz Foudaio NSF NASA
33 Colum Desiy of H 3 + (coceraio) (pah legh) Colum Desiy Laboraory: 1 11 cm cm = 1 14 cm -2 Molecular Cloud: 1-4 cm cm = 1 14 cm -2 Laboraory ad asroomical specroscopy progressig ogeher!
Let s express the absorption of radiation by dipoles as a dipole correlation function.
MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles
More informationVibration damping of the cantilever beam with the use of the parametric excitation
The s Ieraioal Cogress o Soud ad Vibraio 3-7 Jul, 4, Beijig/Chia Vibraio dampig of he cailever beam wih he use of he parameric exciaio Jiří TŮMA, Pavel ŠURÁNE, Miroslav MAHDA VSB Techical Uiversi of Osrava
More informationCOMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF.
COMBUSIO ROF. SEUG WOOK BAEK DEARME OF AEROSACE EGIEERIG, KAIS, I KOREA ROOM: Buldng 7- #334 ELEHOE : 3714 Cellphone : 1-53 - 5934 swbaek@kast.a.kr http://proom.kast.a.kr A : Dongg Lee ROOM: Buldng 7-
More informationA Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green
A Two-Level Quaum Aalysis of ERP Daa for Mock-Ierrogaio Trials Michael Schillaci Jeifer Vedemia Rober Buza Eric Gree Oulie Experimeal Paradigm 4 Low Workload; Sigle Sessio; 39 8 High Workload; Muliple
More informationDissipative Relativistic Bohmian Mechanics
[arxiv 1711.0446] Dissipaive Relaivisic Bohmia Mechaics Roume Tsekov Deparme of Physical Chemisry, Uiversiy of Sofia, 1164 Sofia, Bulgaria I is show ha quaum eagleme is he oly force able o maiai he fourh
More informationC(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12
Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)
More informationDynamics of Particle in a Box in Time Varying Potential Due to Chirped Laser Pulse
Joural of Moder Physics, 21, 1, 372-378 doi:1.4236/jmp.21.1653 Published Olie December 21 (hp://www.scirp.org/joural/jmp) Dyamics of Paricle i a Box i Time Varyig Poeial Due o Chirped Laser Pulse Absrac
More informationComplementi di Fisica Lecture 6
Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium
More informationPure Math 30: Explained!
ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial
More information12 Getting Started With Fourier Analysis
Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll
More informationIdeal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory
Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable
More information5.74 Introductory Quantum Mechanics II
MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,
More information2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)
Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he
More informationHarmonic excitation (damped)
Harmoic eciaio damped k m cos EOM: m&& c& k cos c && ζ & f cos The respose soluio ca be separaed io par;. Homogeeous soluio h. Paricular soluio p h p & ζ & && ζ & f cos Homogeeous soluio Homogeeous soluio
More informationECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:
ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric
More informationA Note on Random k-sat for Moderately Growing k
A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics
More informationThe universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1)
Ope Access Joural of Mahemaical ad Theoreical Physics Mii Review The uiversal vecor Ope Access Absrac This paper akes Asroheology mahemaics ad pus some of i i erms of liear algebra. All of physics ca be
More information10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)
ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames
More informationProblems and Solutions for Section 3.2 (3.15 through 3.25)
3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped
More informationSection 8 Convolution and Deconvolution
APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:
More informationRCT Worksheets/Quizzes 1.06 Radioactivity and Radioactive Decay
RCT Workshees/Quizzes.06 Radioaciviy ad Radioacive Decay.06 WORKSHEET #. worker accideally igesed oe millicurie of I3. I3 has a half-life of 8 days. How may disiegraios per secod of I3 are i he workers
More informationKing Fahd University of Petroleum & Minerals Computer Engineering g Dept
Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure
More informationSampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1
Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f
More informationOnline Supplement to Reactive Tabu Search in a Team-Learning Problem
Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c
More informationSolutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π
Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier
More information3.8. Other Unipolar Junctions
3.8. Oher Uipolar ucios The meal-semicoducor jucio is he mos sudied uipolar jucio, be o he oly oe ha occurs i semicoducor devices. Two oher uipolar jucios are he - homojucio ad he - Heerojucio. The - homojucio
More informationBEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS
BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad
More informationON THE NONLINEAR RESONANCE WAVE INTERACTION
U.P.B. Sci. Bull., Series, Vol. 7, Iss. 3, ISSN 3-77 ON THE NONLINER RESONNCE WVE INTERCTION Pere P.TEODORESCU, Veuria CHIROIU ceasă lucrare sudiază ieracţiuea diamică a uei o bare lieare dispersive aşezaă
More informationPrinciples of Communications Lecture 1: Signals and Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University
Priciples of Commuicaios Lecure : Sigals ad Sysems Chih-Wei Liu 劉志尉 Naioal Chiao ug Uiversiy cwliu@wis.ee.cu.edu.w Oulies Sigal Models & Classificaios Sigal Space & Orhogoal Basis Fourier Series &rasform
More informationMATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),
MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice
More informationActuarial Society of India
Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!
More information1 Notes on Little s Law (l = λw)
Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i
More informationLocalization. MEM456/800 Localization: Bayes Filter. Week 4 Ani Hsieh
Localiaio MEM456/800 Localiaio: Baes Filer Where am I? Week 4 i Hsieh Evirome Sesors cuaors Sofware Ucerai is Everwhere Level of ucerai deeds o he alicaio How do we hadle ucerai? Eamle roblem Esimaig a
More informationNeutrinos And Their Oscillations
Neurios Ad Their Oscillaios Alexader J. Bolesa Udergraduae, Drexel Uiversiy Neurios are eural lepos i he sadard model of paricle physics. Sae mixig bewee he hree eurio species ca occur because he flavor
More informationMath 6710, Fall 2016 Final Exam Solutions
Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be
More informationBig O Notation for Time Complexity of Algorithms
BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time
More informationThe Eigen Function of Linear Systems
1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =
More informationFluctuation and Flow Probes of Early-Time Correlations
Flucuaio ad Flow Probes of Early-Time Correlaios WPCF 0 Frakfur am Mai, Seember 0 George Moschelli Frakfur Isiue for Adaced Sudies & Sea Gai Waye Sae Uiersiy Moiaio Two Paricle Correlaios: d d d Pair Disribuio
More information6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend
6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q
More informationFresnel Dragging Explained
Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field
More informationECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:
ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we
More information1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)
7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic
More informationApproximating Solutions for Ginzburg Landau Equation by HPM and ADM
Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural
More informationF D D D D F. smoothed value of the data including Y t the most recent data.
Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig
More informationNotes 03 largely plagiarized by %khc
1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our
More information( ) = c n ( t) n ( ) (2.4) ( t) = k! t
Adrei Tokmakoff, MIT Deparme of Chemisry, /13/007-1.1. TIME-DEPENDENT HAMILTONIAN Mixig of eigesaes by a ime-depede poeial For may ime-depede problems, mos oably i specroscopy, we ofe ca pariio he ime-depede
More information14.02 Principles of Macroeconomics Fall 2005
14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are
More informationAnalysis of Musical Sounds
Aalysis of Musical Souds Musical souds are produced by he vibraio of physical sysems, e.g. Srig Isrumes guiars, piaos, violis ec.: Use he aural vibraio of sreched srigs or wires. Wid Isrumes rumpes, saxophoes,
More informationSwamping Effects on Tritium Permeation in Solid Breeder Blanket Units
Swampig Effecs o riium Permeaio i Solid Breeder Blake Uis Preseed by We Guo Wih oribuios from A. Yig, M. J. Ni, M. Abdou BBI- Nov. - ec., 5, Saa Barbara BBI Oulie Review: effecs of covecio o riium permeaio
More informationODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003
ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous
More informationMoment Generating Function
1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example
More informationλiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi
Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio
More informationMETHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER
Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue
More informationElectrical Engineering Department Network Lab.
Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por
More informationClock Skew and Signal Representation
Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio
More informationAnalysis of Using a Hybrid Neural Network Forecast Model to Study Annual Precipitation
Aalysis of Usig a Hybrid Neural Nework Forecas Model o Sudy Aual Precipiaio Li MA, 2, 3, Xuelia LI, 2, Ji Wag, 2 Jiagsu Egieerig Ceer of Nework Moiorig, Najig Uiversiy of Iformaio Sciece & Techology, Najig
More informationCalculus BC 2015 Scoring Guidelines
AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home
More informationInternational Journal of Mathematics Trends and Technology (IJMTT) Volume 53 Number 5 January 2018
Ieraioal Joural of Mahemaics reds ad echology (IJM) Volume 53 Number 5 Jauary 18 Effecs of ime Depede acceleraio o he flow of Blood i rery wih periodic body acceleraio mi Gupa #1, Dr. GajedraSaraswa *,
More informationECE 350 Matlab-Based Project #3
ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for
More informationAffine term structure models
/5/07 Affie erm srucure models A. Iro o Gaussia affie erm srucure models B. Esimaio by miimum chi square (Hamilo ad Wu) C. Esimaio by OLS (Adria, Moech, ad Crump) D. Dyamic Nelso-Siegel model (Chrisese,
More informationPerformance Model for Distributed Sonar Tracking
UNCASSIFIE/UNIMITE erformace Model for isribued Soar Tracig Sefao Coraluppi Ai-Submarie Warfare eparme NATO Udersea Research Cere Viale S. Barolomeo 4 938 a Spezia ITAY E-mail: coraluppi@saclac.ao.i ABSTRACT
More informationA J integral approach for the determination of mixed mode cohesive laws
A J iegral approach for he deermiaio of mixed mode cohesive laws Be F. Sørese Maerials Research Deparme Risø Naioal Laboraory Demark Torbe K. Jacobse LM Glasfiber A/S Demark EFP projec "Improved basis
More informationNARAYANA. C o m m o n P r a c t i c e T e s t 1 2 XII STD BATCHES [CF] Date: PHYSICS CHEMISTRY MATHEMATICS 18. (A) 33. (C) 48. (B) 63.
NARAYANA I I T / N E E T A C A D E M Y. (D). (A). (D). (A). (C). (B) 7. (C) 8. (A) 9. (B) 0. (C). (B). (C). (B). (C). (D) C o m m o P r a c i c e T e s XII STD BATCES [CF] Dae: 0.07.7 ANSWER PYSICS CEMISTRY
More informationA STUDY OF INPUT MOBILITY FUNCTIONS AT A VIOLIN'S BRIDGE. Jie Pan and Robert Wilkins
ICSV14 Cairs Ausralia 9-12 July, 27 A STUDY OF INPUT MOBILITY FUNCTIONS AT A VIOLIN'S BRIDGE Jie Pa ad Rober Wilkis School of Mechaical Egieerig, Uiversiy of Weser Ausralia 35 Sirlig Highway, Crawley,
More informationSpectral Simulation of Turbulence. and Tracking of Small Particles
Specra Siuaio of Turbuece ad Trackig of Sa Parices Hoogeeous Turbuece Saisica ie average properies RMS veociy fucuaios dissipaio rae are idepede of posiio. Hoogeeous urbuece ca be odeed wih radoy sirred
More informationECE-314 Fall 2012 Review Questions
ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.
More informationEconomics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017
Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy
More informationTAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.
Iera. J. Mah. & Mah. Si. Vol. 6 No. 3 (1983) 559-566 559 ASYMPTOTIC RELATIOHIPS BETWEEN TWO HIGHER ORDER ORDINARY DIFFERENTIAL EQUATIONS TAKA KUSANO laculy of Sciece Hrosh llersy 1982) ABSTRACT. Some asympoic
More information, how does it change with time? How do we determine rt
. TME-EVOLUTON OPERATOR Dyamical processes i quaum mechaics are described by a Hamiloia ha depeds o ime. Naurally he quesio arises how do we deal wih a ime-depede Hamiloia? priciple, he ime-depede Schrödiger
More informationComparison between Fourier and Corrected Fourier Series Methods
Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1
More informationDevelopment of Kalman Filter and Analogs Schemes to Improve Numerical Weather Predictions
Developme of Kalma Filer ad Aalogs Schemes o Improve Numerical Weaher Predicios Luca Delle Moache *, Aimé Fourier, Yubao Liu, Gregory Roux, ad Thomas Warer (NCAR) Thomas Nipe, ad Rolad Sull (UBC) Wid Eergy
More informationECE Semiconductor Device and Material Characterization
ECE 483 Semicoducor Device ad Maerial Characerizaio Dr. Ala Doolile School of Elecrical ad Comuer Egieerig Georgia Isiue of Techology As wih all of hese lecure slides, I am idebed o Dr. Dieer Schroder
More informationLecture 15: Three-tank Mixing and Lead Poisoning
Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [
More informationThin MLCC (Multi-Layer Ceramic Capacitor) Reliability Evaluation Using an Accelerated Ramp Voltage Test
cceleraed Sress Tesig ad Reliabiliy Thi MLCC (Muli-Layer Ceramic Capacior) Reliabiliy Evaluaio Usig a cceleraed Ramp olage Tes Joh Scarpulla The erospace Corporaio joh.scarpulla@aero.org Jauary-4-7 Sepember
More informationChapter 10. Laser Oscillation : Gain and Threshold
Chaper 0. aser Osillaio : Gai ad hreshold Deailed desripio of laser osillaio 0. Gai Cosider a quasi-moohromai plae wave of frequey propaai i he + direio ; u A he rae a whih
More informationMCR3U FINAL EXAM REVIEW (JANUARY 2015)
MCRU FINAL EXAM REVIEW (JANUARY 0) Iroducio: This review is composed of possible es quesios. The BEST wa o sud for mah is o do a wide selecio of quesios. This review should ake ou a oal of hours of work,
More informationOptimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis
Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The
More informationThe analysis of the method on the one variable function s limit Ke Wu
Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776
More informationN! AND THE GAMMA FUNCTION
N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio
More informationSynchronization in fiber laser arrays: theoretical study
Sychroizaio i fiber laser arrays: heoreical sudy Slave Peleš a, Jeffrey L. Rogers b ad Kur Wiesefeld a a School of Physics, Georgia Isiue of Techology, Alaa, GA b HRL Laboraories, LLC, Malibu, CA ABSTRACT
More informationEntropy production rate of nonequilibrium systems from the Fokker-Planck equation
Eropy producio rae of oequilibrium sysems from he Fokker-Plack equaio Yu Haiao ad Du Jiuli Deparme of Physics School of Sciece Tiaji Uiversiy Tiaji 30007 Chia Absrac: The eropy producio rae of oequilibrium
More information1.225J J (ESD 205) Transportation Flow Systems
.5J J ESD 5 Trasporaio Flow Sysems Lecre 3 Modelig Road Traffic Flow o a Li Prof. Ismail Chabii ad Prof. Amedeo Odoi Lecre 3 Olie Time-Space Diagrams ad Traffic Flow Variables Irodcio o Li Performace Models
More informationReview Exercises for Chapter 9
0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled
More informationFRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS
S33 FRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS by Derya DOGAN DURGUN ad Ali KONURALP * Deparme of Mahemaics
More informationEnergy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.
ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio
More informationWhat Ties Return Volatilities to Price Valuations and Fundamentals? On-Line Appendix
Wha Ties Reurn Volailiies o Price Valuaions and Fundamenals? On-Line Appendix Alexander David Haskayne School of Business, Universiy of Calgary Piero Veronesi Universiy of Chicago Booh School of Business,
More informationANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE
ANALYSIS OF THE CHAOS DYNAMICS IN (X,X ) PLANE Soegiao Soelisioo, The Houw Liog Badug Isiue of Techolog (ITB) Idoesia soegiao@sude.fi.ib.ac.id Absrac I he las decade, sudies of chaoic ssem are more ofe
More informationBE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion
BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.
More informationth m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)
1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques
More informationA THREE-DIMENSIONAL SECTOR MODEL FOR SOLID FLOW IN A BLAST FURNACE GEOMETRY
A THREE-DIMENSIONAL SECTOR MODEL FOR SOLID FLOW IN A BLAST FURNACE GEOMETRY W.J. Yag 1) Z.Y. Zhou 1) A.B. Yu 1) ad D. Piso ) 1 Laboraory for Simulaio ad Modellig of Pariculae Sysems School of Maerials
More informationComparisons Between RV, ARV and WRV
Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev
More informationEGR 544 Communication Theory
EGR 544 Commuicaio heory 7. Represeaio of Digially Modulaed Sigals II Z. Aliyazicioglu Elecrical ad Compuer Egieerig Deparme Cal Poly Pomoa Represeaio of Digial Modulaio wih Memory Liear Digial Modulaio
More informationChemical Engineering 374
Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers
More informationChapter 15. Time Series: Descriptive Analyses, Models, and Forecasting
Chaper 15 Time Series: Descripive Analyses, Models, and Forecasing Descripive Analysis: Index Numbers Index Number a number ha measures he change in a variable over ime relaive o he value of he variable
More informationLecture 9: Polynomial Approximations
CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy
More informationT.G.V disk brake squeal : understanding and modeling
.G.V disk brake squeal : udersadig ad modelig 1 X. Lorag, 2 F. Margiocchi ad 3 O. Chiello SNCF, Iovaive & Research Deparme, PSF, 45 rue de Lodres, 75379, Paris, Frace (1) el: +33 (0)1 53 42 92 28, E-mail:
More informationPart II Converter Dynamics and Control
Par II overer Dyamics ad orol haper 7. A Equivale ircui Modelig 7. A equivale circui modelig 8. overer rasfer fucios 9. oroller desig. Ac ad dc equivale circui modelig of he discoiuous coducio mode. urre
More informationDiscrete-Time Signals and Systems. Introduction to Digital Signal Processing. Independent Variable. What is a Signal? What is a System?
Discree-Time Sigals ad Sysems Iroducio o Digial Sigal Processig Professor Deepa Kudur Uiversiy of Toroo Referece: Secios. -.4 of Joh G. Proakis ad Dimiris G. Maolakis, Digial Sigal Processig: Priciples,
More informationAn Improved Spectral Subtraction Algorithm for Speech Enhancement System. Shun Na, Weixing Li, Yang Liu*
6h Ieraioal Coferece o Iformaio Egieerig for Mechaics ad Maerials (ICIMM 16) A Improved Specral Subracio Algorihm for Speech Ehaceme Sysem Shu Na, Weixig Li, Yag Liu* College of Elecroic Iformaio Egieerig,
More informationIn this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)
Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )
More information