Imaging and Aberration Theory
|
|
- Wesley Cummings
- 5 years ago
- Views:
Transcription
1 Imagig a Aberratio Theor Lecture : Paraxial imagig --9 Herbert Gro Witer term
2 Overview Time: ria,. 3.3 Locatio: Abbeaum, HS, röbeltieg Web page o IAP homepage uer learig/material provie lie a exercie Zemax ile Cotet Semiar: Exercie a olutio o give problem time: Weea, SR 3, Max Wie Platz tartig ate: --4 Shit o ome ate coul be poible
3 3 Literature [] H. Buchahl, A Itrouctio to Hamiltoia Optic, Dover, 7 [] A. E. Cora, Applie Optic a Optical Deig, Part oe a two, Dover, 85 [3] H. Buchahl, Optical Aberratio Coeiciet, Dover 968 [4] Y. Matui / K. Nariai, uametal o practical aberratio theor, Worl Scietiic, 993 [5] A. Walther, The ra a wave theor o lee, Cambrige Uiverit Pre, 995 [6] V. Lakhmiaraaa / A. Ghatak / K. Thagaraa, Lagragia optic, Kluwer [7] M. Berek, Grulage er praktiche Optik, e Gruter, 97 [8] W. T. Welor, Aberratio o optical tem, Aam Hilger, 986 [9] K. Lueburg, Mathematical theor o optic, Uiverit o Calioria Pre, 964 [] H. Römer, Theoretical optic, Wile VCH, 5 [] J. Palmer, Le aberratio ata, Aam Hilger, 97 [] A. Romao, Geometric optic, Birkhäuer, [3] G. Sluarev, Aberratio a optical eig theor, Aam Hilger, 984 [4] D. Malacara / Z. Malacara, Habook o optical eig, Marcel Dekker, 4 [5] A. Cox, A tem o optical eig, The ocal Pre, 967 [6] V. Mahaa, Optical imagig a aberratio I, Ra geometrical optic, SPIE Pre, 998 [7] V. Mahaa, Optical imagig a aberratio II, Wavew iractio optic, SPIE Pre,
4 Prelimiar time cheule 4
5 5 Cotet t Lecture. Carial elemet. Le propertie 3. Imagig, magiicatio 4. Aocal tem a telecetricit 5. Matrix calculu
6 Carial elemet o a le ocal poit:. icomig parallel ra iterect the axi i. ra through i leave the le parallel to the axi Pricipal plae P: locatio o apparet ra beig pricipal plae P u BL ocal plae oal plae P u N N u Noal poit: Ra through N goe through N a preerve the irectio
7 Notatio o a le P pricipal poit S vertex o the urace ocal poit O iterectio poit o a ra with axi ocal legth P u S P P N N S u r raiu o urace curvature O thicke SS rerative iex BL P P BL a a
8 Mai propertie o a le Mai otatio a propertie o a le: - raii o curvature r, r curvature c ig: r > : ceter o curvature i locate o the right ie - thicke alog the axi - iameter D - iex o reractio o le material ocal legth (paraxial) Optical power Back ocal legth iterectio legth, meaure rom the vertex poit c r c r, ta u H ta u
9 Le hape Dieret hape o iglet lee:. bi-, mmetric. plae covex / cocave, oe urace plae 3. Meicu, both urace raii with the ame ig Covex: beig outie Cocave: hollow urace Pricipal plae P, P : outie or meicu hape lee P P P P P P P P P P P P bi-covex le plae-covex le poitive meicu le bi-cocave le plae-cocave le egative meicu le
10 Le beig u hit o pricipal plae Ra path at a le o cotat ocal legth a ieret beig The ra agle iie the le chage The ra iciece agle at the urace chage trogl The pricipal plae move or ivariat locatio o P, P the poitio o the le move P P X = -4 X = - X = X = + X = +4
11 Magiicatio Parameter Magiicatio parameter M: eie ra path through the le M<- M U U U U M=- Special cae:. M = : mmetrical 4-imagig etup. M = -: obect i rot ocal plae 3. M = +: obect i iiit M= The parameter M trogl iluece the aberratio M=+ M>+
12 Optical imagig Optical Image ormatio: All ra emergig rom oe obect poit meet i the perect image poit Regio ear axi: gauia imagig ieal, paraxial Image iel ize: Chie ra iel poit O chie ra pupil top Aperture/ize o light coe: margial ra eie b pupil top obect axi margial ra optical tem O O image O
13 Sigle urace imagig equatio Thi le i air ocal legth Thi le i air with oe plae urace, ocal legth Thi mmetrical bi-le Thick le i air ocal legth r r r r r r r r r ormula or urace a le imagig
14 Magiicatio Lateral magiicatio or iite imagig Scalig o image ize m ta u ta u pricipal plae obect ocal poit ocal poit P P z z image
15 Deiitio o iel o View a Aperture Imagig o axi: circular / rotatioal mmetr Ol pherical aberratio a chromatical aberratio iite iel ize, obect poit o-axi: - chie ra a reerece p p - kew ra buel: coma a itortio - Vigettig, coe o ra bule ot circular mmetric - to itiguih: tagetial a agittal plae O obect plae margial/rim ra u w etrace pupil chie ra chie ra exit pupil R AP w u image plae O
16 Obect or iel at iiit Image i iiit: - collimate exit ra bule - realize i biocular image image at iiit Obect i iiit - iput ra bule collimate - realize i telecope - aperture eie b iameter ot b agle le act a aperture top iel le top ee le obect at iiit collimate etrace bule image i ocal plae
17 7 Telecetricit Special top poitio:. top i back ocal plae: obect ie telecetricit. top i rot ocal plae: image ie telecetricit 3. top i itermeiate ocal plae: both-ie telecetricit Telecetricit:. pupil i iiit. chie ra parallel to the optical axi obect obect ie chie ra parallel to the optical axi telecetric top image
18 8 Telecetricit Double telecetric tem: top i itermeiate ocu Realizatio i lithographic proectio tem obect le telecetric le top image
19 Imagig equatio Imagig b a le i air: le maker ormula real obect real image 4 virtual image real image Magiicatio Real imagig: <, > Iterectio legth, meaure with repective to the pricipal plae P, P real obect virtual image - virtual obect virtual image - 4
20 Agle Magiicatio Aocal tem with obect/image i iiit Deiitio with iel agle w agular amgiicatio ta w ta w h h w w Relatio with iite-itace magiicatio
21 Axial Magiicatio Axial magiicatio Approximatio or mall z a = z z ta ta u u z z z
22 Paraxial approximatio Paraxial approximatio: i i Small agle o ra at ever urace Small iciece agle allow or a liearizatio o the law o reractio All optical imagig coitio become liear (Gauia optic), calculatio with ABCD matrix calculu i poible No aberratio occur i optical tem There are o trucatio eect ue to travere iite ize compoet Serve a a reerece or ieal tem coitio I the uamet or ma tem propertie (ocal legth, pricipal plae, magiicatio,...) The ag o optical urace (ierece i z betwee vertex plae a real urace iterectio poit) ca be eglecte i x All wave are plae o pherical (parabolic) R E( x) E e The phae actor o pherical wave i quaratic
23 Paraxial approximatio Law o reractio i I i I Talor expaio 3 5 x x i x x... 3! 5! Liear ormulatio o the law o reractio i i Error o the paraxial approximatio i- I) / I =.9 =.7 =.5 i i I I i i arci i
24 Sigle Surace Sigle urace betwee two meia Raiu r, reractive iice, Imagig coitio, paraxial r Abbe ivariat alterative repreetatio o the imagig equatio Q r r obect arbitrar ra vertex S C image r ra through ceter o curvature C pricipal plae urace
25 Paraxial Approximatio Law o reractio i I i I Expaioi o the ie-uctio: i x x 3 x 3! 5 x... 5! Liearize approximatio o the law o reractio: I ----> i i i Relative error o the approximatio i i I I i i arci i- I) / I =.9 =.7 = i
26 Liear Collieatio Geeral ratioal traormatio Liear expreio Decribe liear colliear traorm x,,z ---> x,,z Aalog i the image pace Ierte i ol imeio ocal legth Pricipal plae 3,, z x,,,,3 z c b x a 3,, z x,,,3, z c b x a 3 3, z c a z c z c z o o 3 3, a c c c c a 3 3 3, a c c c a c z c a z P P
27 Liear Collieatio Special choice o origi o cooriate tem: Newto imagig equatio iite agle: ta(u) mut be take: Magiicatio: m ta u ta u O ocal legth: ta u ta u h u P h P N N u Ivariat: ta u ta u z z O a a
28 Image Cotructio o a Le b imple Ra Poitive le Real image or > Negative le virtual image
29 Imagig b a Le Rage o imagig Locatio o the image or a igle le tem < image virtual magiie image image Obekt Chage o obect loactio = Image coul be:. real / virtual. elarge/reuce 3. i iite/iiite itace image at iiit > > image real magiie obect obect image = image real : obect image obect > image image real reuce
30 Graphical Image Cotructio ater Litig Graphical image cotructio accorig to Litig b 3 pecial ra: 3. irt parallel through axi, through ocal poit i image pace. irt through ocal poit, the parallel to optical axi P P 3. Through oal poit, leave the le with the ame agle Proceure work or poitive a egative lee or egative lee the / equece i revere 3 P P
31 Geeral Graphical Ra Cotructio irt ra parallel to arbitrar ra through ocal poit, become parallel to optical axi Arbitrar ra: - cotat height i pricipal plae S S - meet the irt ra i the back ocal plae, eire ra i S Q arbitrar ra S S geuchter Augagtrahl Q parallel ra through P P
32 Traer Legth / Total Track L Ditace obect-image: (traer legth) Two olutio or a give L with ieret magiicatio m L L L L m m 6 5 m L mi = 4 m max = L / - No real imagig or L < magiie 4-imagig reuce L /
33 Newto ormula Imagig equatio accorig to Newto: itace z, z meaure relative to the ocal poit z z ocal poit P P ocal poit image obect -z - z - pricipal plae
34 Two lee with itace ocal legth itace o ier ocal poit e Sequece o thi lee cloe together Sequece o urace with relative ra height h, paraxial Magiicatio e k k k k k k k r h h k k k Multi-Surace Stem
35 ocal legth e: tube legth Image locatio Two-Le Stem le le e e ) ( ) (
36 Matrix Calculu Paraxial ratrace traer Matrix ormulatio Paraxial ratrace reractio Ierte Matrix ormulatio U U i i i U U U U i i U U U U U U
37 Liear Collieatio Matrix ormalim or iite agle ta u A C B D ta u
38 Matrix ormulatio o Paraxial Optic Liear relatio o ra traport x x Simple cae: ree pace propagatio ra u u x x B z Geeral cae: paraxial egmet with matrix ABCD-matrix : x x x A u C B x x M D u u u ra x A B C D x u z
39 Matrix ormulatio o Paraxial Optic Liear traer o patio cooriate x a agle u x AxBu u CxDu Matrix repreetatio x A u C B x M D u x u Lateral magiicatio or u= Agle magiicatio o cougate plae Reractive power or u= A x / x D u / u C u / x Compoitio o tem M M k M... M M k Determiat, ol 3 variable etm ADBC
40 Stem iverio Traitio over itace L Thi le with ocal legth Dielectric plae iterace Aocal telecope A C B D M L M M M L M Matrix ormulatio o Paraxial Optic
41 Matrix ormulatio o Paraxial Optic Calculatio o iterectio legth Magiicatio:. lateral. agle 3. axial, epth A B C D AD BC C D C D AD BC AC AD BC C D Pricipal plae ocal poit a H a AD BC C A C D A a H C D a C
Imaging and Aberration Theory
Imagig a Aberratio Theor Lecture : Paraxial imagig --9 Herbert Gro Witer term www.iap.ui-ea.e Overview Time: ria,. 3.3 Locatio: Abbeaum, HS, röbeltieg Web page o IAP homepage uer learig/material provie
More informationImaging and Aberration Theory
Imagig ad Aberratio Theor Lecture : Paraxial imagig 3--7 Herbert Gro Witer term 3 www.iap.ui-ea.de Overview Time: Thurda, 4. 5.3 Locatio: Abbeaum, HS, röbeltieg Web page o IAP homepage uder learig/material
More informationDesign and Correction of Optical Systems
Deig ad Correctio of Optical Stem Lecture 3: Paraial optic 06-04-0 Herbert Gro Summer term 06 www.iap.ui-ea.de Prelimiar Schedule 06.04. Baic 3.04. Material ad Compoet 3 0.04. Paraial Optic 4 7.04. Optical
More information2.710 Optics Spring 09 Solutions to Problem Set #3 Due Wednesday, March 4, 2009
MASSACHUSETTS INSTITUTE OF TECHNOLOGY.70 Optics Sprig 09 Solutios to Problem Set #3 Due Weesay, March 4, 009 Problem : Waa s worl a) The geometry or this problem is show i Figure. For part (a), the object
More informationLenses and Imaging (Part II)
Lee ad Imagig (Part II) emider rom Part I Surace o poitive/egative power eal ad virtual image Imagig coditio Thick lee Pricipal plae 09/20/04 wk3-a- The power o urace Poitive power : eitig ray coverge
More information2.710 Optics Spring 09 Solutions to Problem Set #2 Due Wednesday, Feb. 25, 2009
MASSACHUSETTS INSTITUTE OF TECHNOLOGY.70 Optics Sprig 09 Solutios to Prolem Set # Due Weesay, Fe. 5, 009 Prolem : Wiper spee cotrol Figure shows a example o a optical system esige to etect the amout o
More informationSection 7. Gaussian Reduction
7- Sectio 7 Gaussia eductio Paraxial aytrace Equatios eractio occurs at a iterace betwee two optical spaces. The traser distace t' allows the ray height y' to be determied at ay plae withi a optical space
More informationDesign and Correction of Optical Systems
Desig ad Correctio of Optical Sstems Lecture 3: Paraial optics 207-04-28 Herbert Gross Summer term 207 www.iap.ui-ea.de 2 Prelimiar Schedule - DCS 207 07.04. Basics 2 2.04. Materials ad Compoets 3 28.04.
More informationRepresenting Functions as Power Series. 3 n ...
Math Fall 7 Lab Represetig Fuctios as Power Series I. Itrouctio I sectio.8 we leare the series c c c c c... () is calle a power series. It is a uctio o whose omai is the set o all or which it coverges.
More informationImaging and Aberration Theory
Imagig ad Aberratio Theory Lecture 9: Chromatical aberratio 07-- Herbert Gro Witer term 07 www.iap.ui-ea.de Prelimiary time chedule 6.0. Paraxial imagig paraxial optic, fudametal law of geometrical imagig,
More informationLecture 8: Light propagation in anisotropic media
Lecture 8: Light propagatio i aiotropic media Petr Kužel Teor claificatio of aiotropic media Wave equatio igemode polariatio eigetate Normal urface (urface of refractive idice) Idicatri (ellipoid of refractive
More informationSection 5. Gaussian Imagery
OPTI-01/0 Geoetrical ad Istruetal Optics 5-1 Sectio 5 Gaussia Iagery Iagig Paraxial optics provides a sipliied etodology to deterie ray pats troug optical systes. Usig tis etod, te iage locatio or a geeral
More informationPHYC 3540 Summary. n nl
HYC 354 Summar. rpagati light a. Hitr wave v. particle picture b. Fermat riciple actual path i that r which the L i a etremum c. Huge priciple ever pit wavert act a a urce i. Large aperture >>λ rectiliear
More informationOverview of Aberrations
Overview of Aberratios Les Desig OPTI 57 Aberratio From the Lati, aberrare, to wader from; Lati, ab, away, errare, to wader. Symmetry properties Overview of Aberratios (Departures from ideal behavior)
More informationTRANSVERSE SHEAR AND TORSION OF THIN-WALLED COMPOSITE BEAMS
TRAVERE HEAR A TORIO OF THI-WALLE COMPOITE BEAM REVIEW TRAVERE HEAR I YMMETRIC HOMOGEEOU BEAM TRAVERE HEAR TREE I THI COMPOITE CRO- ECTIO APPROIMATE TRAVERE HEAR EFLECTIO I YMMETRIC CRO-ECTIO TORIO OF
More informationState space systems analysis
State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with
More informationAutomatic Control Systems
Automatic Cotrol Sytem Lecture-5 Time Domai Aalyi of Orer Sytem Emam Fathy Departmet of Electrical a Cotrol Egieerig email: emfmz@yahoo.com Itrouctio Compare to the implicity of a firt-orer ytem, a eco-orer
More informationComa aberration. Lens Design OPTI 517. Prof. Jose Sasian
Coma aberratio Les Desig OPTI 517 Coma 0.5 wave 1.0 wave.0 waves 4.0 waves Spot diagram W W W... 040 0 H,, W 4 H W 131 W 00 311 H 3 H H cos W 3 W 00 W H cos W 400 111 H H cos cos 4 Coma though focus Cases
More informationFig. 1: Streamline coordinates
1 Equatio of Motio i Streamlie Coordiate Ai A. Soi, MIT 2.25 Advaced Fluid Mechaic Euler equatio expree the relatiohip betwee the velocity ad the preure field i ivicid flow. Writte i term of treamlie coordiate,
More informationSeidel sums and a p p l p icat a ion o s f or o r s imp m l p e e c as a es
Seidel sums ad applicatios for simple cases Aspheric surface Geerally : o spherical rotatioally symmetric surfaces but ca be off-axis coic sectios Greatly help to improve performace, ad reduce the umber
More informationTUTORIAL 6. Review of Electrostatic
TUTOIAL 6 eview of Electrotatic Outlie Some mathematic Coulomb Law Gau Law Potulatio for electrotatic Electric potetial Poio equatio Boudar coditio Capacitace Some mathematic Del operator A operator work
More informationEE 508 Lecture 6. Dead Networks Scaling, Normalization and Transformations
EE 508 Lecture 6 Dead Network Scalig, Normalizatio ad Traformatio Filter Cocept ad Termiology 2-d order polyomial characterizatio Biquadratic Factorizatio Op Amp Modelig Stability ad Itability Roll-off
More informationEE 508 Lecture 6. Scaling, Normalization and Transformation
EE 508 Lecture 6 Scalig, Normalizatio ad Traformatio Review from Lat Time Dead Network X IN T X OUT T X OUT N T = D D The dead etwork of ay liear circuit i obtaied by ettig ALL idepedet ource to zero.
More informationGaussian Plane Waves Plane waves have flat emag field in x,y Tend to get distorted by diffraction into spherical plane waves and Gaussian Spherical
Gauian Plane Wave Plane ave have lat ema ield in x,y Tend to et ditorted by diraction into pherical plane ave and Gauian Spherical Wave E ield intenity ollo: U ( ) x y u( x, y,r,t ) exp i ω t Kr R R here
More informationOn the relation between some problems in Number theory, Orthogonal polynomials and Differential equations
8 MSDR - Zborik a trudovi ISBN 9989 6 9 6.9.-.. god. COBISS.MK ID 69 Ohrid Makedoija O the relatio betwee ome problem i Number theory Orthogoal polyomial ad Dieretial equatio Toko Tokov E-mail: tokov@mail.mgu.bg
More informationENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 4 Solutions [Numerical Methods]
ENGI 3 Advaced Calculus or Egieerig Facult o Egieerig ad Applied Sciece Problem Set Solutios [Numerical Methods]. Use Simpso s rule with our itervals to estimate I si d a, b, h a si si.889 si 3 si.889
More informationWhere do eigenvalues/eigenvectors/eigenfunctions come from, and why are they important anyway?
Where do eigevalues/eigevectors/eigeuctios come rom, ad why are they importat ayway? I. Bacgroud (rom Ordiary Dieretial Equatios} Cosider the simplest example o a harmoic oscillator (thi o a vibratig strig)
More informationM 340L CS Homew ork Set 6 Solutions
1. Suppose P is ivertible ad M 34L CS Homew ork Set 6 Solutios A PBP 1. Solve for B i terms of P ad A. Sice A PBP 1, w e have 1 1 1 B P PBP P P AP ( ).. Suppose ( B C) D, w here B ad C are m matrices ad
More informationM 340L CS Homew ork Set 6 Solutions
. Suppose P is ivertible ad M 4L CS Homew ork Set 6 Solutios A PBP. Solve for B i terms of P ad A. Sice A PBP, w e have B P PBP P P AP ( ).. Suppose ( B C) D, w here B ad C are m matrices ad D is ivertible.
More informationME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS
ME 40 MECHANICAL ENGINEERING REGRESSION ANALYSIS Regreio problem deal with the relatiohip betwee the frequec ditributio of oe (depedet) variable ad aother (idepedet) variable() which i (are) held fied
More informationImaging and Aberration Theory
Imagig ad Aberratio Theory Lecture 10: Sie coditio, alaatim ad ilaatim 017-1-18 Herbert Gro Witer term 017 www.ia.ui-ea.de Prelimiary time chedule 1 16.10. Paraxial imagig araxial otic, fudametal law of
More informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationTHE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS
So far i the tudie of cotrol yte the role of the characteritic equatio polyoial i deteriig the behavior of the yte ha bee highlighted. The root of that polyoial are the pole of the cotrol yte, ad their
More informationBrief Review of Linear System Theory
Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed
More informationZ-buffering, Interpolation and More W-buffering Doug Rogers NVIDIA Corporation
-buerig, Iterpolatio a More -buerig Doug Roger NVIDIA Corporatio roger@viia.om Itroutio Covertig ooriate rom moel pae to ree pae i a erie o operatio that mut be learly uertoo a implemete or viibility problem
More informationPhys. 201 Mathematical Physics 1 Dr. Nidal M. Ershaidat Doc. 12
Physics Departmet, Yarmouk Uiversity, Irbid Jorda Phys. Mathematical Physics Dr. Nidal M. Ershaidat Doc. Fourier Series Deiitio A Fourier series is a expasio o a periodic uctio (x) i terms o a iiite sum
More informationOptical Imaging. Optical Imaging
Opticl Imgig Mirror Lee Imgig Itrumet eye cmer microcope telecope... imgig Wve Optic Opticl Imgig relectio or rerctio c crete imge o oject ielly, ec oject poit mp to imge poit exmple: urce o till lke relectio:
More informationPhys 2310 Wed. Oct. 4, 2017 Today s Topics
Phy 30 Wed. Oct. 4, 07 Tday Tpic Ctiue Chapter 33: Gemetric Optic Readig r Next Time By Mday: Readig thi Week Fiih Ch. 33 Lee, Mirrr ad Prim Hmewrk Due Oct., 07 Y&F Ch. 3: #3., 3.5 Ch. 33: #33.3, 33.7,
More informationCapacitors and PN Junctions. Lecture 8: Prof. Niknejad. Department of EECS University of California, Berkeley. EECS 105 Fall 2003, Lecture 8
CS 15 Fall 23, Lecture 8 Lecture 8: Capacitor ad PN Juctio Prof. Nikejad Lecture Outlie Review of lectrotatic IC MIM Capacitor No-Liear Capacitor PN Juctio Thermal quilibrium lectrotatic Review 1 lectric
More informationGENERALIZED TWO DIMENSIONAL CANONICAL TRANSFORM
IOSR Joural o Egieerig (IOSRJEN) ISSN: 50-30 Volume, Iue 6 (Jue 0), PP 487-49 www.iore.org GENERALIZED TWO DIMENSIONAL CANONICAL TRANSFORM S.B.Chavha Yehawat Mahavidhalaya Naded (Idia) Abtract: The two-dimeioal
More informationGeodynamics Lecture 11 Brittle deformation and faulting
Geodamic Lecture 11 Brittle deformatio ad faultig Lecturer: David Whipp david.whipp@heliki.fi! 7.10.2014 Geodamic www.heliki.fi/liopito 1 Goal of thi lecture Preet mai brittle deformatio mechaim()! Dicu
More informationIndian Institute of Information Technology, Allahabad. End Semester Examination - Tentative Marking Scheme
Idia Istitute of Iformatio Techology, Allahabad Ed Semester Examiatio - Tetative Markig Scheme Course Name: Mathematics-I Course Code: SMAT3C MM: 75 Program: B.Tech st year (IT+ECE) ate of Exam:..7 ( st
More informationInferences of Type II Extreme Value. Distribution Based on Record Values
Applied Matheatical Sciece, Vol 7, 3, o 7, 3569-3578 IKARI td, www-hikarico http://doiorg/988/a33365 Ierece o Tpe II tree Value Ditributio Baed o Record Value M Ahaullah Rider Uiverit, awreceville, NJ,
More informationMon Apr Second derivative test, and maybe another conic diagonalization example. Announcements: Warm-up Exercise:
Math 2270-004 Week 15 otes We will ot ecessarily iish the material rom a give day's otes o that day We may also add or subtract some material as the week progresses, but these otes represet a i-depth outlie
More informationSolving equations (incl. radical equations) involving these skills, but ultimately solvable by factoring/quadratic formula (no complex roots)
Evet A: Fuctios ad Algebraic Maipulatio Factorig Square of a sum: ( a + b) = a + ab + b Square of a differece: ( a b) = a ab + b Differece of squares: a b = ( a b )(a + b ) Differece of cubes: a 3 b 3
More informationIntelligent Systems I 08 SVM
Itelliget Systems I 08 SVM Stefa Harmelig & Philipp Heig 12. December 2013 Max Plack Istitute for Itelliget Systems Dptmt. of Empirical Iferece 1 / 30 Your feeback Ejoye most Laplace approximatio gettig
More informationu t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall
Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationOptics. n n. sin. 1. law of rectilinear propagation 2. law of reflection = 3. law of refraction
Optics What is light? Visible electromagetic radiatio Geometrical optics (model) Light-ray: extremely thi parallel light beam Usig this model, the explaatio of several optical pheomea ca be give as the
More informationR is a scalar defined as follows:
Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad
More informationLast time: Completed solution to the optimum linear filter in real-time operation
6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443
More informationUltrafast Optical Physics II (SoSe 2017) Lecture 2, April 21
Ultrafast Optical Physics II SoSe 7 Lecture pril Susceptibility a Sellmeier equatio Phase velocity group velocity a ispersio 3 Liear pulse propagatio Maxwell s Equatios of isotropic a homogeeous meia Maxwell
More informationx z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.
] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio
More informationSummary of formulas Summary of optical systems
Summar of formulas Summar of optical sstems Les Desig OPTI 57 Imagig: cetral projectio X' Y' Z' a X b Y c Z d axbyczd 0 0 0 0 a X b Y c Z d axbyczd 0 0 0 0 a X byczd axbyczd 3 3 3 3 0 0 0 0 Colliear trasformatio
More informationProblem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =
Mathematics Summer Wilso Fial Exam August 8, ANSWERS Problem 1 (a) Fid the solutio to y +x y = e x x that satisfies y() = 5 : This is already i the form we used for a first order liear differetial equatio,
More informationMachine Learning for Data Science (CS4786) Lecture 9
Machie Learig for Data Sciece (CS4786) Lecture 9 Pricipal Compoet Aalysis Course Webpage : http://www.cs.corell.eu/courses/cs4786/207fa/ DIM REDUCTION: LINEAR TRANSFORMATION x > y > Pick a low imesioal
More informationSociété de Calcul Mathématique, S. A. Algorithmes et Optimisation
Société de Calcul Mathématique S A Algorithme et Optimiatio Radom amplig of proportio Berard Beauzamy Jue 2008 From time to time we fid a problem i which we do ot deal with value but with proportio For
More information(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is
Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:
More informationa 1 = 1 a a a a n n s f() s = Σ log a 1 + a a n log n sup log a n+1 + a n+2 + a n+3 log n sup () s = an /n s s = + t i
0 Dirichlet Serie & Logarithmic Power Serie. Defiitio & Theorem Defiitio.. (Ordiary Dirichlet Serie) Whe,a,,3, are complex umber, we call the followig Ordiary Dirichlet Serie. f() a a a a 3 3 a 4 4 Note
More information8.6 Order-Recursive LS s[n]
8.6 Order-Recurive LS [] Motivate ti idea wit Curve Fittig Give data: 0,,,..., - [0], [],..., [-] Wat to fit a polyomial to data.., but wic oe i te rigt model?! Cotat! Quadratic! Liear! Cubic, Etc. ry
More informationExplicit scheme. Fully implicit scheme Notes. Fully implicit scheme Notes. Fully implicit scheme Notes. Notes
Explicit cheme So far coidered a fully explicit cheme to umerically olve the diffuio equatio: T + = ( )T + (T+ + T ) () with = κ ( x) Oly table for < / Thi cheme i ometime referred to a FTCS (forward time
More informationSpectral Analysis of Stochastic Noise in Fission Source Distributions from Monte Carlo Eigenvalue Calculations
Progre i NUCLEAR SCIENCE ad TECHNOLOGY, ol., pp.706-75 (0 ARTICLE Spectral Aalyi o Stochatic Noie i Fiio Source Ditributio rom ote Carlo Eigevalue Calculatio David P. GRIESHEIER * ad Bria R. NEASE Betti
More informationHeat Equation: Maximum Principles
Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationCascade theory. The theory in this lecture comes from: Fluid Mechanics of Turbomachinery by George F. Wislicenus Dover Publications, INC.
Caade theory The theory i thi leture ome from: Fluid Mehai of Turbomahiery by George F. Wilieu Dover Publiatio, INC. 1965 d = dt 0 = + Y ρ 0 = p + = kot. F Y d F X X Cotour i the hage of loity due to the
More informationHonors Calculus Homework 13 Solutions, due 12/8/5
Hoors Calculus Homework Solutios, due /8/5 Questio Let a regio R i the plae be bouded by the curves y = 5 ad = 5y y. Sketch the regio R. The two curves meet where both equatios hold at oce, so where: y
More informationWe will look for series solutions to (1) around (at most) regular singular points, which without
ENM 511 J. L. Baai April, 1 Frobeiu Solutio to a d order ODE ear a regular igular poit Coider the ODE y 16 + P16 y 16 + Q1616 y (1) We will look for erie olutio to (1) aroud (at mot) regular igular poit,
More informationCombined Flexure and Axial Load
Cobied Flexure ad Axial Load Iteractio Diagra Partiall grouted bearig wall Bearig Wall: Sleder Wall Deig Procedure Stregth Serviceabilit Delectio Moet Magiicatio Exaple Pilater Bearig ad Cocetrated Load
More informationClassical Electrodynamics
A First Look at Quatum Physics Classical Electroyamics Chapter Itrouctio a Survey Classical Electroyamics Prof. Y. F. Che Cotets A First Look at Quatum Physics. Coulomb s law a electric fiel. Electric
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More informationParaxial ray tracing
Desig o ieal imagig ssems wi geomerical opics Paraxial ra-racig EE 566 OE Ssem Desig Paraxial ra racig Derivaio o reracio & raser eqaios φ, φ φ Paraxial ages Sbsie io i-les eqaio Reracio eqaio Traser eqaio
More informationThe Discrete-Time Fourier Transform (DTFT)
EEL: Discrete-Time Sigals ad Systems The Discrete-Time Fourier Trasorm (DTFT) The Discrete-Time Fourier Trasorm (DTFT). Itroductio I these otes, we itroduce the discrete-time Fourier trasorm (DTFT) ad
More informationCDS 101: Lecture 5.1 Controllability and State Space Feedback
CDS, Lecture 5. CDS : Lecture 5. Cotrollability ad State Space Feedback Richard M. Murray 8 October Goals: Deie cotrollability o a cotrol system Give tests or cotrollability o liear systems ad apply to
More informationANSWER KEY WITH SOLUTION PAPER - 2 MATHEMATICS SECTION A 1. B 2. B 3. D 4. C 5. B 6. C 7. C 8. B 9. B 10. D 11. C 12. C 13. A 14. B 15.
TARGET IIT-JEE t [ACCELERATION] V0 to V BATCH ADVANCED TEST DATE : - 09-06 ANSWER KEY WITH SOLUTION PAPER - MATHEMATICS SECTION A. B. B. D. C 5. B 6. C 7. C 8. B 9. B 0. D. C. C. A. B 5. C 6. D 7. A 8.
More informationFAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES
LECTURE Third Editio FAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES A. J. Clark School of Egieerig Departmet of Civil ad Evirometal Egieerig Chapter 7.4 b Dr. Ibrahim A. Assakkaf SPRING 3 ENES
More informationCONTROL SYSTEMS. Chapter 7 : Bode Plot. 40dB/dec 1.0. db/dec so resultant slope will be 20 db/dec and this is due to the factor s
CONTROL SYSTEMS Chapter 7 : Bode Plot GATE Objective & Numerical Type Solutio Quetio 6 [Practice Book] [GATE EE 999 IIT-Bombay : 5 Mark] The aymptotic Bode plot of the miimum phae ope-loop trafer fuctio
More informationDesign and Correction of Optical Systems
Desig ad Correctio of Optical Systems Lecture : Materials ad compoets 07-04-4 Herbert Gross Summer term 07 www.iap.ui-jea.de Prelimiary Schedule - DCS 07 07.04. Basics.04. Materials ad Compoets 3 8.04.
More informationAllowable Stress Design. Flexural Members - Allowable Stress Design. Example - Masonry Beam. Allowable Stress Design. k 3.
Loa Coiatio llowale Stre Deig () D () D + L () D + (L r or S or R) (4) D + 0.75L + 0.75(L r or S or R) (5) D + (0.6W or 0.7E) (6a) D + 0.75L + 0.75(0.6W) + 0.75(L r or S or R) (6) D + 0.75L + 0.75(0.7E)
More information3.3 Rules for Differentiation Calculus. Drum Roll please [In a Deep Announcer Voice] And now the moment YOU VE ALL been waiting for
. Rules or Dieretiatio Calculus. RULES FOR DIFFERENTIATION Drum Roll please [I a Deep Aoucer Voice] A ow the momet YOU VE ALL bee waitig or Rule #1 Derivative o a Costat Fuctio I c is a costat value, the
More informationPascal Pyramids, Pascal Hyper-Pyramids and a Bilateral Multinomial Theorem
Pascal Pramids, Pascal Hper-Pramids ad a Bilateral Multiomial Theorem Marti Eri Hor, Uiversit o Potsdam Am Neue Palais, D - 69 Potsdam, Germa E-Mail: marhor@rz.ui-potsdam.de Abstract Part I: The two-dimesioal
More informationImaging and Aberration Theory
Imagig ad Aberratio Theory Lectre 10: Sie coditio, alaatim ad ilaatim 016-01-05 Herbert Gro Witer term 015 www.ia.i-ea.de Prelimiary time chedle 1 0.10. Paraxial imagig araxial otic, fdametal law of geometrical
More informationCork Institute of Technology Bachelor of Science (Honours) in Applied Physics and Instrumentation-Award - (NFQ Level 8)
ork Istitute of Techology Bachelor of Sciece (Hoours) i Applied Physics ad Istrumetatio-Award - (NFQ Level 8) Istructios Aswer Four questios, at least TWO questios from each Sectio. Use separate aswer
More informationLECTURE 13 SIMULTANEOUS EQUATIONS
NOVEMBER 5, 26 Demad-upply ytem LETURE 3 SIMULTNEOUS EQUTIONS I thi lecture, we dicu edogeeity problem that arie due to imultaeity, i.e. the left-had ide variable ad ome of the right-had ide variable are
More informationChapter 2. Periodic points of toral. automorphisms. 2.1 General introduction
Chapter 2 Periodic poits of toral automorphisms 2.1 Geeral itroductio The automorphisms of the two-dimesioal torus are rich mathematical objects possessig iterestig geometric, algebraic, topological ad
More informationLECTURE 5 PART 2 MOS INVERTERS STATIC DESIGN CMOS. CMOS STATIC PARAMETERS The Inverter Circuit and Operating Regions
LECTURE 5 PART 2 MOS INVERTERS STATIC ESIGN CMOS Objectives for Lecture 5 - Part 2* Uderstad the VTC of a CMOS iverter. Uderstad static aalysis of the CMOS iverter icludig breakpoits, VOL, V OH,, V IH,
More informationThe Mathematical Model and the Simulation Modelling Algoritm of the Multitiered Mechanical System
The Mathematical Model ad the Simulatio Modellig Algoritm of the Multitiered Mechaical System Demi Aatoliy, Kovalev Iva Dept. of Optical Digital Systems ad Techologies, The St. Petersburg Natioal Research
More informationApproximate solutions for an acoustic plane wave propagation in a layer with high sound speed gradient
Proceedigs o Acoustics Victor Harbor 7- ovember, Victor Harbor, Australia Approximate solutios or a acoustic plae wave propagatio i a layer with high soud speed gradiet Alex Zioviev ad Adria D. Joes Maritime
More informationTP A.29 Using throw to limit cue ball motion
techical proof TP A.9 Usig to limit cue ball motio supportig: The Illustrate Priciples of Pool a Billiars http://billiars.colostate.eu by Dai G. Alciatore, PhD, PE ("Dr. Dae") techical proof origially
More informationImaging and nulling properties of sparse-aperture Fizeau interferometers Imaging and nulling properties of sparse-aperture Fizeau interferometers
Imagig ad ullig properties of sparse-aperture Fizeau iterferometers Imagig ad ullig properties of sparse-aperture Fizeau iterferometers Fraçois Héault Istitut de Plaétologie et d Astrophysique de Greoble,
More informationRay Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET
Ray Optics Theory ad Mode Theory Dr. Mohammad Faisal Dept. of, BUT Optical Fiber WG For light to be trasmitted through fiber core, i.e., for total iteral reflectio i medium, > Ray Theory Trasmissio Ray
More informationAn Extension of the Szász-Mirakjan Operators
A. Şt. Uiv. Ovidius Costaţa Vol. 7(), 009, 37 44 A Extesio o the Szász-Mirakja Operators C. MORTICI Abstract The paper is devoted to deiig a ew class o liear ad positive operators depedig o a certai uctio
More informationLecture 11. Solution of Nonlinear Equations - III
Eiciecy o a ethod Lecture Solutio o Noliear Equatios - III The eiciecy ide o a iterative ethod is deied by / E r r: rate o covergece o the ethod : total uber o uctios ad derivative evaluatios at each step
More informationFIR Filter Design: Part I
EEL3: Discrete-Time Sigals ad Systems FIR Filter Desig: Part I. Itroductio FIR Filter Desig: Part I I this set o otes, we cotiue our exploratio o the requecy respose o FIR ilters. First, we cosider some
More informationMath 312 Lecture Notes One Dimensional Maps
Math 312 Lecture Notes Oe Dimesioal Maps Warre Weckesser Departmet of Mathematics Colgate Uiversity 21-23 February 25 A Example We begi with the simplest model of populatio growth. Suppose, for example,
More informationDesign and Correction of Optical Systems
Desig ad Correctio of Optical Systems Lecture : Materials ad compoets 08-04-6 Herbert Gross Summer term 08 www.iap.ui-jea.de Prelimiary Schedule - DCS 08 09.04. Basics 6.04. Materials ad Compoets 3 3.04.
More informationOptics Formulas. is the wave impedance of vacuum, and η is the wave impedance of a medium with refractive index n. Wave Quantity Relationship.
Optics 57 Light Right-Had Rule Light is a trasverse electromagetic wave. The electric ad magetic M fields are perpedicular to each other ad to the propagatio vector k, as show below. Power desity is give
More informationFluid Physics 8.292J/12.330J % (1)
Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the
More informationQuestions about the Assignment. Describing Data: Distributions and Relationships. Measures of Spread Standard Deviation. One Quantitative Variable
Quetio about the Aigmet Read the quetio ad awer the quetio that are aked Experimet elimiate cofoudig variable Decribig Data: Ditributio ad Relatiohip GSS people attitude veru their characteritic ad poue
More informationSTUDENT S t-distribution AND CONFIDENCE INTERVALS OF THE MEAN ( )
STUDENT S t-distribution AND CONFIDENCE INTERVALS OF THE MEAN Suppoe that we have a ample of meaured value x1, x, x3,, x of a igle uow quatity. Aumig that the meauremet are draw from a ormal ditributio
More informationFINALTERM EXAMINATION Fall 9 Calculus & Aalytical Geometry-I Questio No: ( Mars: ) - Please choose oe Let f ( x) is a fuctio such that as x approaches a real umber a, either from left or right-had-side,
More informationBalancing. Rotating Components Examples of rotating components in a mechanism or a machine. (a)
alacig NOT COMPLETE Rotatig Compoets Examples of rotatig compoets i a mechaism or a machie. Figure 1: Examples of rotatig compoets: camshaft; crakshaft Sigle-Plae (Static) alace Cosider a rotatig shaft
More informationStatistics Problem Set - modified July 25, _. d Q w. i n
Statitic Problem Set - modified July 5, 04 x i x i i x i _ x x _ t d Q w F x x t pooled calculated pooled. f d x x t calculated / /.. f d Kow cocept of Gauia Curve Sytematic Error Idetermiate Error t-tet
More information