Beam based calibration for beam position monitor

Size: px
Start display at page:

Download "Beam based calibration for beam position monitor"

Transcription

1 TBLA0 Bem bsed clbrton for bem poston montor 5-SEP-05 IBIC05 Melbourne M. Tejm KEK

2 Contents Clbrton t the bennn Includn mppn of BPM hed lnment nd n clbrton of electrc crcut. Bem bsed lnment BBA n net er bem commssonn of KEKB. Bem bsed n clbrton Gn clbrton of BPM n the KEKB We hve done BBGC n ever - month snce 00. New method for n clbrton of BPM n the J-PAC Totl lest squres method s ppled n J-PAC Hh-precson BPM sstem Montorn the consstenc error nd ppln the bem-bsed n clbrton

3 Clbrton of BPM Sstemtc errors n BPM Settn error of BPM to Q-m. Mesurement of Δ? Δ? Offset error Imblnce error n -outputs BPM model elton mon when the bem loctes n the center Gn error the output snls trvel throuh seprte cbles connectors ttenutors nd swtches

4 STEP Mppn of BPM hed All BPMs were mpped t test bench wth movble ntenn. Test bench for the mppn result for mppn HE LE

5 STEP Alnment of BPM heds nst to the Q-mnets Mesurement of the mechncl offsets of the BPM heds to the Q-mnets. Photorph of Mesurement tool esults of lnment of BPM heds nst to the reference plne of the Q-Mnets

6 STEP- Gn clbrton of the electroncs Attenuton of cble swtch electroncs etc. We mesured the dstrbuton of snl ttenuton of the ll electroncs We used dumm hed nsted of BPM heds. esults for rton between output snl BC nd nst to A n ll electroncs A B C Output snls: A B C

7 Bem bsed clbrton Bem Bsed Alnment Mesurement of the offset of BPM to the feld center of the djcent Q-mnet usn the bem. Bem Bsed Gn Clbrton Clbrton of the n mblnce mon four outputs of BPM usn the bem.

8 Bem bsed lnment(bba) - Prncpl - BBA s serchn the bem orbt whch s nsenstve to the chne of feld strenth of Q-mnet. Ths orbt must pssn throuh the mnetc center of Q-mnet. The mesured bem poston for ths orbt s correspondn to offset orn of BPM. Δm0 then δm offset

9 Actul procedure for BBA Bump orbts: [mm] I Q : [A] -current of correcton col from fure ()(b)(c) Δ/ΔI Q nd (I Q 0) where m Δ / Δ I 0 Q Offset 0.9[mm] The orbtl chne due to ΔI Q cn be montored not onl the BPM but b n other BPMs n the rn.

10 strbuton of offsets wth BBA n J-PAC M

11 strbutons of offsets wth BBA In KEKB

12 The BPM offsets mesured b BBA were set n the dt bse for BPM sstem

13 The effect of BBA correcton n J-Prc M Improvement CO wthout / wth the BBA offset dt (red / blue lnes)

14 The effect of BBA correcton n KEKB M

15 Bem Bsed Gn Clbrton BPM wth four button The reltve n of the output dt m drft due to unpredctble mblnce mon output snls from the pckup electrodes. The output snls() must trvel throuh seprte pths such s feed-throuh cbles connectors ttenutors swtches nd then re mesured b the snl detectors. The most probble source of the n drft s the chne n the electrcl chrcterstcs of the trnsmsson lne of the snl b temperture fluctuton. Such s reson the clbrton of the ns of ever BPMs re need.

16 Gn concepton of BPM model

17 The output volte model ( ) for bem bsed clbrton ( ) q F -th electrode () (): bem poston q: proportonl fctor to the bem current : reltve n fctor F (): response functon normlzed to F (00)

18 esponse functon of outputs ( ) ( ) ( ) ( ) ( ) ( ) ( ) 6 b b b b F ( ) ( ) ( ) ( ) ( ) ( ) F F F F F F These coeffcents ( ) (b b ) were determned b fttn the clculted mppn b the fnte boundr element method.

19 Bem mppn & Gn nlss Mesurement of m tmes bem postons b chnn bem orbt. J j j m m ( ) [ ( )] j q j F j j j j ( ) q F Anlss b non-lner lest squre method ( q q ) j j m m m fttn prmeters but / / / To mnmze the sum of the squres of resduls. the softwre technque s Mrqurdt method.

20 Mppn dt b steern mnets for the n clbrton LE_QCP HE_QCE 0 [mm] [mm] [mm] [mm] m5

21 esult of clbrton n KEKB These dt re frst mesurements b bem bsed n clbrton LE HE / / / BPM No. BPM No. The BPM ns mesured b BBGC were lso set n the dt bse for BPM sstem

22 Correlton n the offset between BBA nd BBGC offset offset / K / / K / / / / / / / / / offset K offset K K s coeffcent to poston We converted the mesured vlue of BPM n nto BPM offset vlue nd tred to compre the offset wth the offset from BBA.

23 Correlton n the offset between BBA nd BBGC offset K offset K Some prt of BBA s cused b n drft.

24 BPM hed wth donl cut n J-PAC M The horzontl nd vertcl bem postons re ndependentl detected b two prs of pckup

25 Output of donl cut electrodes L λ λ λ λ λ: proportonl fctor to bem current : rdus of donl cut clnder : reltve n to the L : bem poston B elmnte λ nd L

26 Epresson of m tmes mesurement A b m m m j j A m L j L L b Mtr representton L

27 Wht LS & TLS ( ) Δ m L r ( ) Δ m L d G ( ) G Norml vector to the plne n ( L ) spce epressed s 0 L hve no error L hve error eference:i. Mrkovsk nd S.. Huffel Snl Processn 87

28 Lner lest squres Lest squres Put the A T to both sdes LS A T A A Put the [A T A] - to both sdes [ ] [ ] T A A T T T A A A A A b T b ( T ) T A A A b A hve no error b hve error TLS Totl lest squres A T A A σ : the smllest snulr vlue of [Ab] I: unt mtr T b [ ] T T A A σ I A b Put the [A T A-σ I] - to both sdes [( ) ] T T A A I A b σ A T : trnsposed mtr of A A nd b hve error

29 Smulton of LS & TLS For the smulton The ns set L λ λ λ λ 555 postons wth 0.% Gusssn nose. >500 ponts Smulton result True LS TLS econstruted mppn dt. Blck s Poston() wthout correcton ed s () wth TLS correcton TLS method ndcte d ood reproducblt of ns

30 Bem test Output dt n nne dsplcements of bem postons t BPM. econstructed mppn dt. ed: ( ) wthout correcton Blck: ( ) wth TLS ns Δ 0.5% BPM00 L TLS LS BPM00 L G TLS LS fference n the reltve ns between LS nd TLS

31 esult of the reltve ns of ll BPMs n J-Prc M Kck nles of the steern mnets To obtn the dt wth mpped bem postons Blue: Low ntenst s 0 [PPP] ed: Hh ntenst s 0 [PPP]

32 Evluton of n correcton buttons pckups t the KEKB Bem poston clculton from the outputs ( ) ( ) F F ( ) F ( ) b b b b b b b b b b F Normlzton rd order polnomnls The coeffcents ( n b n ) re obtned b fttn of the mppn dt.

33 Four Postons b selected outputs ( ) ( ) ( ) ( ) ) ( ) ( ) ( ) ( ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) F F F F F F F F AB AB AC AC BC BC ABC ABC ( ) ( ) ( ) ( ) wth wth σ σ The bem poston s lso obtnble from the output volte of n three electrodes chosen out of four electrodes. Normlzton rd order polnomnls If the four outputs hve del correlton (( ) ( ) ( ) ( )) should concde wth ech other. Consstenc error

34 Consstenc error n LE t KEKB Cons.Err.() Before n clbrton Cons.Err.() Cons.Err.() After n clbrton Cons.Err.() The consstenc error becme ver smll

35 Four postons of donl cut pckups t J-PAC L L L L L L L ( ) ( ) ( ) ( ) wth wth σ σ Consstenc error

36 Consstenc error of the bem test t J-PAC Before After [mm] [mm] [mm] [mm] BPM BPM Consstenc error before nd fter n clbrton of BPMs t J-PAC M

37 Conclusons We should p specl ttenton to urntee the precse mesurement of bem postons over lon tme. The BBA clbrton s necessr for correcton of the BPM offset error. The BBGC s lso mportnt for correcton of the mblnced ns mon four outputs of BPM. We hve relzed hh-precson BPM sstem b montorn the consstenc error nd ppln the bem-bsed n clbrton

38 Thnk ou for our ttenton

39 Append

BEAM BASED CALIBRATION FOR BEAM POSITION MONITORS

BEAM BASED CALIBRATION FOR BEAM POSITION MONITORS TBA0 Proceedns of IBIC05 Melbourne Austrl BEAM BASE CAIBATION FO BEAM POSITION MONITOS M. Te KEK/J-PAC Tsukub Ibrk Jpn Copyrht 05 CC-BY-.0 nd by the respectve uthors Abstrct Be poston ontorn s one of the

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede Fll Anlss of Epermentl Mesurements B. Esensten/rev. S. Errede Monte Crlo Methods/Technques: These re mong the most powerful tools for dt nlss nd smulton of eperments. The growth of ther mportnce s closel

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS

CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVES Rodolphe Prm, Ntle Shlomo Southmpton Sttstcl Scences Reserch Insttute Unverst of Southmpton Unted Kngdom SAE, August 20 The BLUE-ETS Project s fnnced

More information

Mechanical resonance theory and applications

Mechanical resonance theory and applications Mechncl resonnce theor nd lctons Introducton In nture, resonnce occurs n vrous stutons In hscs, resonnce s the tendenc of sstem to oscllte wth greter mltude t some frequences thn t others htt://enwkedorg/wk/resonnce

More information

Log1 Contest Round 3 Theta Individual. 4 points each 1 What is the sum of the first 5 Fibonacci numbers if the first two are 1, 1?

Log1 Contest Round 3 Theta Individual. 4 points each 1 What is the sum of the first 5 Fibonacci numbers if the first two are 1, 1? 008 009 Log1 Contest Round Thet Individul Nme: points ech 1 Wht is the sum of the first Fiboncci numbers if the first two re 1, 1? If two crds re drwn from stndrd crd deck, wht is the probbility of drwing

More information

Lecture 5 Single factor design and analysis

Lecture 5 Single factor design and analysis Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

LINEAR ALGEBRA APPLIED

LINEAR ALGEBRA APPLIED 5.5 Applictions of Inner Product Spces 5.5 Applictions of Inner Product Spces 7 Find the cross product of two vectors in R. Find the liner or qudrtic lest squres pproimtion of function. Find the nth-order

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

Geometric calibration experiences of ultrasonic flowmeters installed in hydropower stations in China

Geometric calibration experiences of ultrasonic flowmeters installed in hydropower stations in China IGHEM2016, Lnz, Austr Geometrc clbrton experences of ultrsonc flowmeters nstlled n hydropower sttons n Chn Hemng Hu 1, Ch Wng 1, Hyng L 2, Feng Go 1 1. Ntonl Insttute of Metrology, P. R. Chn 2. Shngh Insttute

More information

? plate in A G in

? plate in A G in Proble (0 ponts): The plstc block shon s bonded to rgd support nd to vertcl plte to hch 0 kp lod P s ppled. Knong tht for the plstc used G = 50 ks, deterne the deflecton of the plte. Gven: G 50 ks, P 0

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

Chapter I Vector Analysis

Chapter I Vector Analysis . Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw

More information

MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE AND AFTER THE FORMING OF THE PIPES

MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE AND AFTER THE FORMING OF THE PIPES 6 th Reserch/Exert Conference wth Interntonl Prtcton QUALITY 009, Neum, B&H, June 04 07, 009 MATHEMATICAL MODEL AND STATISTICAL ANALYSIS OF THE TENSILE STRENGTH (Rm) OF THE STEEL QUALITY J55 API 5CT BEFORE

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

2.12 Pull Back, Push Forward and Lie Time Derivatives

2.12 Pull Back, Push Forward and Lie Time Derivatives Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere

More information

Least squares. Václav Hlaváč. Czech Technical University in Prague

Least squares. Václav Hlaváč. Czech Technical University in Prague Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres

More information

Physics for Scientists and Engineers I

Physics for Scientists and Engineers I Phscs for Scentsts nd Engneers I PHY 48, Secton 4 Dr. Betr Roldán Cuen Unverst of Centrl Flord, Phscs Deprtment, Orlndo, FL Chpter - Introducton I. Generl II. Interntonl Sstem of Unts III. Converson of

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1.

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1. Mth Anlysis CP WS 4.X- Section 4.-4.4 Review Complete ech question without the use of grphing clcultor.. Compre the mening of the words: roots, zeros nd fctors.. Determine whether - is root of 0. Show

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data Deprtment of Mechncl Engneerng, Unversty of Bth Mthemtcs ME10305 Prolem sheet 11 Lest Squres Fttng of dt NOTE: If you re gettng just lttle t concerned y the length of these questons, then do hve look t

More information

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get rgsdle (zdr8) HW6 dtmre (58335) Ths prnt-out should hve 5 questons Multple-choce questons my contnue on the next column or pge fnd ll choces efore nswerng 00 (prt of ) 00 ponts The currents re flowng n

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

Identification of Robot Arm s Joints Time-Varying Stiffness Under Loads

Identification of Robot Arm s Joints Time-Varying Stiffness Under Loads TELKOMNIKA, Vol.10, No.8, December 2012, pp. 2081~2087 e-issn: 2087-278X ccredted by DGHE (DIKTI), Decree No: 51/Dkt/Kep/2010 2081 Identfcton of Robot Arm s Jonts Tme-Vryng Stffness Under Lods Ru Xu 1,

More information

Model Fitting and Robust Regression Methods

Model Fitting and Robust Regression Methods Dertment o Comuter Engneerng Unverst o Clorn t Snt Cruz Model Fttng nd Robust Regresson Methods CMPE 64: Imge Anlss nd Comuter Vson H o Fttng lnes nd ellses to mge dt Dertment o Comuter Engneerng Unverst

More information

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = 0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3 3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the

More information

5.2 Exponent Properties Involving Quotients

5.2 Exponent Properties Involving Quotients 5. Eponent Properties Involving Quotients Lerning Objectives Use the quotient of powers property. Use the power of quotient property. Simplify epressions involving quotient properties of eponents. Use

More information

Geometric Correction or Georeferencing

Geometric Correction or Georeferencing Geoetrc Correcton or Georeferencng GEOREFERENCING: fro ge to p Coordntes on erth: (λ, φ) ge: (, ) p: (, ) rel nteger Trnsfortons (nvolvng deforton): erth-to-ge: χ erth-to-p: ψ (crtogrphc proecton) ge-to-p:

More information

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.

More information

Torsion, Thermal Effects and Indeterminacy

Torsion, Thermal Effects and Indeterminacy ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais. ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn

More information

Smart Motorways HADECS 3 and what it means for your drivers

Smart Motorways HADECS 3 and what it means for your drivers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd

More information

Workspace Analysis of a Novel Parallel Robot Named 3-R2H2S with Three Freedoms

Workspace Analysis of a Novel Parallel Robot Named 3-R2H2S with Three Freedoms Reserch Journl of Appled Scences, Engneerng nd Technology 6(0: 3847-3851, 013 ISS: 040-7459; e-iss: 040-7467 Mxwell Scentfc Orgnzton, 013 Submtted: Jnury 17, 013 Accepted: Februry, 013 Publshed: ovember

More information

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space. Clculus 3 Li Vs Spce Curves Recll the prmetric equtions of curve in xy-plne nd compre them with prmetric equtions of curve in spce. Prmetric curve in plne x = x(t) y = y(t) Prmetric curve in spce x = x(t)

More information

Calculus - Activity 1 Rate of change of a function at a point.

Calculus - Activity 1 Rate of change of a function at a point. Nme: Clss: p 77 Mths Helper Plus Resource Set. Copright 00 Bruce A. Vughn, Techers Choice Softwre Clculus - Activit Rte of chnge of function t point. ) Strt Mths Helper Plus, then lod the file: Clculus

More information

fractions Let s Learn to

fractions Let s Learn to 5 simple lgebric frctions corne lens pupil retin Norml vision light focused on the retin concve lens Shortsightedness (myopi) light focused in front of the retin Corrected myopi light focused on the retin

More information

Finite Difference Method

Finite Difference Method 7/0/07 Instructor r. Ramond Rump (9) 747 698 rcrump@utep.edu EE 337 Computatonal Electromagnetcs (CEM) Lecture #0 Fnte erence Method Lecture 0 These notes ma contan coprghted materal obtaned under ar use

More information

Course Review Introduction to Computer Methods

Course Review Introduction to Computer Methods Course Revew Wht you hopefully hve lerned:. How to nvgte nsde MIT computer system: Athen, UNIX, emcs etc. (GCR). Generl des bout progrmmng (GCR): formultng the problem, codng n Englsh trnslton nto computer

More information

A Double-Line-Frequency Commutated Rectifier Complying with IEC Standards

A Double-Line-Frequency Commutated Rectifier Complying with IEC Standards A Double-ne-Frequency Commutted Rectfer Complyn wth IEC 000-3- Stndrds José Antenor Pomlo School of Electrcl nd Computer Enneern, nversty of Cmpns C. P. 60 308-970 Cmpns BRAZI Tel. (55-9) 7883748 Fx (55-9)

More information

The Fundamental Theorem of Algebra. Objective To use the Fundamental Theorem of Algebra to solve polynomial equations with complex solutions

The Fundamental Theorem of Algebra. Objective To use the Fundamental Theorem of Algebra to solve polynomial equations with complex solutions 5-6 The Fundamental Theorem of Algebra Content Standards N.CN.7 Solve quadratc equatons wth real coeffcents that have comple solutons. N.CN.8 Etend polnomal denttes to the comple numbers. Also N.CN.9,

More information

Objective of curve fitting is to represent a set of discrete data by a function (curve). Consider a set of discrete data as given in table.

Objective of curve fitting is to represent a set of discrete data by a function (curve). Consider a set of discrete data as given in table. CURVE FITTING Obectve curve ttg s t represet set dscrete dt b uct curve. Csder set dscrete dt s gve tble. 3 3 = T use the dt eectvel, curve epress s tted t the gve dt set, s = + = + + = e b ler uct plml

More information

8.6 The Hyperbola. and F 2. is a constant. P F 2. P =k The two fixed points, F 1. , are called the foci of the hyperbola. The line segments F 1

8.6 The Hyperbola. and F 2. is a constant. P F 2. P =k The two fixed points, F 1. , are called the foci of the hyperbola. The line segments F 1 8. The Hperol Some ships nvigte using rdio nvigtion sstem clled LORAN, which is n cronm for LOng RAnge Nvigtion. A ship receives rdio signls from pirs of trnsmitting sttions tht send signls t the sme time.

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

1. Extend QR downwards to meet the x-axis at U(6, 0). y

1. Extend QR downwards to meet the x-axis at U(6, 0). y In the digrm, two stright lines re to be drwn through so tht the lines divide the figure OPQRST into pieces of equl re Find the sum of the slopes of the lines R(6, ) S(, ) T(, 0) Determine ll liner functions

More information

MCR 3U Exam Review. 1. Determine which of the following equations represent functions. Explain. Include a graph. 2. y x

MCR 3U Exam Review. 1. Determine which of the following equations represent functions. Explain. Include a graph. 2. y x MCR U MCR U Em Review Introduction to Functions. Determine which of the following equtions represent functions. Eplin. Include grph. ) b) c) d) 0. Stte the domin nd rnge for ech reltion in question.. If

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

FINITE ELEMENT MODEL UPDATING OF AN ENGINE IN THE AUTOMOTIVE INDUSTRY

FINITE ELEMENT MODEL UPDATING OF AN ENGINE IN THE AUTOMOTIVE INDUSTRY The 3rd Interntonl Conference on Computtonl Mechncs nd Vrtul Engneerng COMEC 2009 29 30 OCTOBER 2009, Brsov, Romn FINITE ELEMENT MODEL UPDATING OF AN ENGINE IN THE AUTOMOTIVE INDUSTRY Gbrel Anton, Mh Pvăl,

More information

Graduate Students do all problems. Undergraduate students choose three problems.

Graduate Students do all problems. Undergraduate students choose three problems. OPTI 45/55 Midterm Due: Februr, Grdute Students do ll problems. Undergrdute students choose three problems.. Google Erth is improving the resolution of its globl mps with dt from the SPOT5 stellite. The

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

More information

Interpolation of Scattered Data: Investigating Alternatives for the Modified Shepard Method

Interpolation of Scattered Data: Investigating Alternatives for the Modified Shepard Method Interpolton of Scttered Dt: Investgtng Alterntves for the Modfed Sheprd Method KARE BASSO PAULO RICARDO DE ÁVILA ZIGAO CARLA MARIA DAL SASSO FREITAS UFRGSUnversdde Federl do Ro Grnde do Sul Insttuto de

More information

1 Linear Least Squares

1 Linear Least Squares Lest Squres Pge 1 1 Liner Lest Squres I will try to be consistent in nottion, with n being the number of dt points, nd m < n being the number of prmeters in model function. We re interested in solving

More information

REALIZATION OF SINUSOIDAL FORCES AT CEM

REALIZATION OF SINUSOIDAL FORCES AT CEM IMEKO nd TC3, 1 th TC5 nd 3 rd TC Interntonl Conferences 3 to 5 Februry, 14, Cpe Town, Republc of South Afrc REALIZATION OF SINUSOIDAL FORCES AT CEM M. N. Medn 1, J.L. Robles nd J. de Vcente 3 1 Centro

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9 CS434/541: Pttern Recognton Prof. Olg Veksler Lecture 9 Announcements Fnl project proposl due Nov. 1 1-2 prgrph descrpton Lte Penlt: s 1 pont off for ech d lte Assgnment 3 due November 10 Dt for fnl project

More information

Algebra Of Matrices & Determinants

Algebra Of Matrices & Determinants lgebr Of Mtrices & Determinnts Importnt erms Definitions & Formule 0 Mtrix - bsic introduction: mtrix hving m rows nd n columns is clled mtrix of order m n (red s m b n mtrix) nd mtrix of order lso in

More information

Humidity Distributions in Multilayered Walls of High-rise Buildings

Humidity Distributions in Multilayered Walls of High-rise Buildings Humdty Dstrbutons n Multlyered Wlls of Hh-rse Buldns Ol Gmyunov,*,Ttn Musorn nd Alender Ishkov 2 Peter the Gret St. Petersbur Polytechnc Unversty, 29 Poltechnchesky Str., St. Petersbur, 9525, Russ 2 Moscow

More information

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION NUEICAL ODELLING OF A CILIU USING AN INTEGAL EQUATION IHAI EBICAN, DANIEL IOAN Key words: Cl, Numercl nlyss, Electromgnetc feld, gnetton. The pper presents fst nd ccurte method to model the mgnetc behvour

More information

Name Solutions to Test 3 November 8, 2017

Name Solutions to Test 3 November 8, 2017 Nme Solutions to Test 3 November 8, 07 This test consists of three prts. Plese note tht in prts II nd III, you cn skip one question of those offered. Some possibly useful formuls cn be found below. Brrier

More information

Advances in Environmental Biology

Advances in Environmental Biology AENSI Journls Advnces n Envronmentl Bology ISSN-995-0756 EISSN-998-066 Journl home pge: http://www.ensweb.com/aeb/ Approxmton of Monthly Evpotrnsprton Bsed on Rnfll nd Geogrphcl nformton n Frs Provnce

More information

Fundamentals of Linear Algebra

Fundamentals of Linear Algebra -7/8-797 Mchine Lerning for Signl rocessing Fundmentls of Liner Alger Administrivi Registrtion: Anone on witlist still? Homework : Will e hnded out with clss Liner lger Clss - Sep Instructor: Bhiksh Rj

More information

Physics 2135 Exam 3 April 21, 2015

Physics 2135 Exam 3 April 21, 2015 Em Totl hysics 2135 Em 3 April 21, 2015 Key rinted Nme: 200 / 200 N/A Rec. Sec. Letter: Five multiple choice questions, 8 points ech. Choose the best or most nerly correct nswer. 1. C Two long stright

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

ORDINARY DIFFERENTIAL EQUATIONS

ORDINARY DIFFERENTIAL EQUATIONS 6 ORDINARY DIFFERENTIAL EQUATIONS Introducton Runge-Kutt Metods Mult-step Metods Sstem o Equtons Boundr Vlue Problems Crcterstc Vlue Problems Cpter 6 Ordnr Derentl Equtons / 6. Introducton In mn engneerng

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,

More information

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.) nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt

More information

Lecture 22: Logic Synthesis (1)

Lecture 22: Logic Synthesis (1) Lecture 22: Logc Synthess (1) Sldes courtesy o Demng Chen Some sldes Courtesy o Pro. J. Cong o UCLA Outlne Redng Synthess nd optmzton o dgtl crcuts, G. De Mchel, 1994, Secton 2.5-2.5.1 Overvew Boolen lgebr

More information

Counting intersections of spirals on a torus

Counting intersections of spirals on a torus Counting intersections of spirls on torus 1 The problem Consider unit squre with opposite sides identified. For emple, if we leve the centre of the squre trveling long line of slope 2 (s shown in the first

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

x 2 1 dx x 3 dx = ln(x) + 2e u du = 2e u + C = 2e x + C 2x dx = arcsin x + 1 x 1 x du = 2 u + C (t + 2) 50 dt x 2 4 dx

x 2 1 dx x 3 dx = ln(x) + 2e u du = 2e u + C = 2e x + C 2x dx = arcsin x + 1 x 1 x du = 2 u + C (t + 2) 50 dt x 2 4 dx . Compute the following indefinite integrls: ) sin(5 + )d b) c) d e d d) + d Solutions: ) After substituting u 5 +, we get: sin(5 + )d sin(u)du cos(u) + C cos(5 + ) + C b) We hve: d d ln() + + C c) Substitute

More information

STATISTICAL MECHANICS OF THE INVERSE ISING MODEL

STATISTICAL MECHANICS OF THE INVERSE ISING MODEL STATISTICAL MECHANICS OF THE INVESE ISING MODEL Muro Cro Supervsors: rof. Mchele Cselle rof. ccrdo Zecchn uly 2009 INTODUCTION SUMMAY OF THE ESENTATION Defnton of the drect nd nverse prole Approton ethods

More information

The Fundamental Theorem of Calculus, Particle Motion, and Average Value

The Fundamental Theorem of Calculus, Particle Motion, and Average Value The Fundmentl Theorem of Clculus, Prticle Motion, nd Averge Vlue b Three Things to Alwys Keep In Mind: (1) v( dt p( b) p( ), where v( represents the velocity nd p( represents the position. b (2) v ( dt

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

Lecture 8: Camera Calibration

Lecture 8: Camera Calibration Lecture 8: Cer Clbrton rofessor Fe-Fe L Stnford Vson Lb Fe-Fe L 9-Oct- Wht we wll lern tody? Revew cer preters Affne cer odel (roble Set (Q4)) Cer clbrton Vnshng ponts nd lnes (roble Set (Q)) Redng: [F]

More information

Solution for Assignment 1 : Intro to Probability and Statistics, PAC learning

Solution for Assignment 1 : Intro to Probability and Statistics, PAC learning Solution for Assignment 1 : Intro to Probbility nd Sttistics, PAC lerning 10-701/15-781: Mchine Lerning (Fll 004) Due: Sept. 30th 004, Thursdy, Strt of clss Question 1. Bsic Probbility ( 18 pts) 1.1 (

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Practice final exam solutions

Practice final exam solutions University of Pennsylvni Deprtment of Mthemtics Mth 26 Honors Clculus II Spring Semester 29 Prof. Grssi, T.A. Asher Auel Prctice finl exm solutions 1. Let F : 2 2 be defined by F (x, y (x + y, x y. If

More information

Substitution Matrices and Alignment Statistics. Substitution Matrices

Substitution Matrices and Alignment Statistics. Substitution Matrices Susttuton Mtrces nd Algnment Sttstcs BMI/CS 776 www.ostt.wsc.edu/~crven/776.html Mrk Crven crven@ostt.wsc.edu Ferur 2002 Susttuton Mtrces two oulr sets of mtrces for roten seuences PAM mtrces [Dhoff et

More information

I1.1 Pythagoras' Theorem. I1.2 Further Work With Pythagoras' Theorem. I1.3 Sine, Cosine and Tangent. I1.4 Finding Lengths in Right Angled Triangles

I1.1 Pythagoras' Theorem. I1.2 Further Work With Pythagoras' Theorem. I1.3 Sine, Cosine and Tangent. I1.4 Finding Lengths in Right Angled Triangles UNIT I1 Pythgors' Theorem nd Trigonometric Rtios: Tet STRAND I: Geometry nd Trigonometry I1 Pythgors' Theorem nd Trigonometric Rtios Tet Contents Section I1.1 Pythgors' Theorem I1. Further Work With Pythgors'

More information

3.1 Exponential Functions and Their Graphs

3.1 Exponential Functions and Their Graphs . Eponentil Functions nd Their Grphs Sllbus Objective: 9. The student will sketch the grph of eponentil, logistic, or logrithmic function. 9. The student will evlute eponentil or logrithmic epressions.

More information

ANALOG CIRCUIT SIMULATION BY STATE VARIABLE METHOD

ANALOG CIRCUIT SIMULATION BY STATE VARIABLE METHOD U.P.B. Sc. Bull., Seres C, Vol. 77, Iss., 25 ISSN 226-5 ANAOG CIRCUIT SIMUATION BY STATE VARIABE METHOD Rodc VOICUESCU, Mh IORDACHE 22 An nlog crcut smulton method, bsed on the stte euton pproch, s presented.

More information

Discussion Question 1A P212, Week 1 P211 Review: 2-D Motion with Uniform Force

Discussion Question 1A P212, Week 1 P211 Review: 2-D Motion with Uniform Force Discussion Question 1A P1, Week 1 P11 Review: -D otion with Unifor Force The thetics nd phsics of the proble below re siilr to probles ou will encounter in P1, where the force is due to the ction of n

More information