X-Ray Notes, Part II

Size: px
Start display at page:

Download "X-Ray Notes, Part II"

Transcription

1 Noll X-ra Notes : Page X-Ra Notes Part Source ssues The Parallel X-ra aging Sste Earlier we consiere a parallel ra sste with an incient intensit that passes through a 3D object having a istribution of attenuation coefficients µ an projects to an iage : ep µ There are essentiall no practical eical project -ra sstes where the source has parallel ras. There are soe scanning sstes that ight be appropriate for inustrial inspection operations for eaple: but these kins of sstes are too slow for eical applications. Practical X-ra Sources There are two ain issues associate with practical -ra sources:. Geoetric istortions ue to point geoetr epth epenent agnification.

2 Noll X-ra Notes : Page. Resolution loss blurring ue to finite large source sies Point Source Geoetr First we will fin epressions for the iage intensit for a point source geoetr: i ep µ r Coents:. is the coorinate sste in the output etector plane.. is the coorinate sste of the object.

3 Noll X-ra Notes : Page 3 3. Notice that i a spatiall variant incient intensit replaces. 4. Notice that the integration is along soe path r with variable of integration r. ntensit Variations The incient intensit is aial at the center of the coorinate sste an falls off towars the eges. This has two coponents an increases in istance fro the source an the ras obliquel striking the etector. ntensit has reall power/unit area. We can write an epression for the intensit i as: i photons ean photon E unit areaepo sure tie where k is a scaling coefficient N is the nuber of photon that are eitte uring the observation tie we assue here that photons are eitte isotropicall over a sphere an Ω/4π is fraction of the surface of a sphere that is subtene b piel area a. [Ω is known as the soli angle an has units of steraians of which there are 4π over the surface of a sphere. This is siilar to there being π raians over circuference of a circle.] For a piel of area a at soe position angle θ awa fro the origin the part of a sphere covere will be acos θ. Thus: Ω a cosθ or 4π 4πr r kn a a cosθ Ω We now efine the intensit at the origin to be. At the origin θ an the istance fro the source to the etector is r thus Ω a/ an: kn i 4π Ω 4π

4 Noll X-ra Notes : Page 4 Note that the intensit falls off with / as the etector oves awa fro the source. The constant k can now be foun in ters of : Substituting: Observing that cos θ r i we get: k 4π N kn Ω cosθ a 4π r 3 cos 3 i θ r we can put this epression in the coorinate sste of the etector using r + an r + : r i + r 3 r + The cos 3 θ ter or its other representations is calle the incient intensit obliquit ter an this has two coponents: the cos θ ter for an increase in istance fro the source to the etector an the cosθ ter for ras obliquel striking the etector. The cos θ ter is reall a /r ter the inverse square law for fallout of intensit. The cosθ ter can be easil visualie if ou think of a flashlight bea hitting a wall obliquel the oblique bea spreas the photons over a larger area of the wall. 3/ Oblique Path ntegration f we look at soe point in the object at epth we see that it will strike the : etector at a position

5 Noll X-ra Notes : Page 5 where is the agnification factor for an object at epth. We can now write the attenuation coefficient at location in ters of the output coorinate sste: µ µ Also instea of integrating along the path r we can rewrite the epression to integrate in : r + + r This epression sas that if with integrate in instea of r the integral will nee to be increase b r + in orer to account of the longer path length in r than. This ter is soeties known as the pathlength obliquit ter.

6 Noll X-ra Notes : Page 6 Finall we put it all together an we get an epression for the output intensit fro a point source: + + r r ep 3/ µ Eaple For the eaple we will reuce the iensions of the proble to an an thus r. Now let s look at a rectangular object at epth : W L rect rect µ µ The epression for the iage intensit will be: + + W L 3/ rect rect ep µ The use of the agnification factor allowe the function of to be converte to a function of for each location in the etector plane. The first rect in the above epression has with L/ an is centere at. The secon rect has with W an is centere at. The integral is the area uner the overlap of these two rect functions.

7 Noll X-ra Notes : Page 7 The integral is: for l W < or > L W / W for l W > + or L < + W / L W + otherwise f we ignore all obliquit ters we get the following: ncluing the pathlength an incient intensit obliquit ters we get:

8 Noll X-ra Notes : Page 8 Uner a parallel ra geoetr we get the following: As we can see the epth epenent agnification has significantl istorte the appearance of the object in the iage. We can efine a fractional transition with be: 4 L W / L + W / 4 L + W / L + W / Thus we can iniie the geoetric istortions b placing the object as far fro the source as possible ake large. Finite Large Sources To gain an unerstaning of this issue we will first consier a thin object. Specificall we will let the attenuation coefficient be: an then: µ τ δ W

9 Noll X-ra Notes : Page ep ep r r i i τ δ τ We let / the object agnification factor an we will ignore the pathlength obliquit ter to get: t i i ep τ where t ep-τ is the transission function. gnoring all obliquit ters we get: t Now we consier a finite source function s an a ver sall pinhole transission function: The iage will now be an iage of the source with the source agnification factor : ks

10 Noll X-ra Notes : Page where k is a scaling factor that is proportional to the area of the pinhole / etc. f we want the above to represent the ipulse response of the sste we nee to ake the pinhole equal to δ an account for all of the scaling ters [t δ is not a realiable transission function since t can never ecee nevertheless we will allow it for atheatical convenience.] The area of the pinhole is δ. The capture efficienc of the pinhole is the fraction of all photons eitte fro the source that pass through the pinhole. This will be equal to: pinhole area η 4 Letting the total nuber of photon eitte be: π 4π N s an the total nuber of photons to get through the pinhole will be: N Nη. 4π This ust be the sae nuber at the etector: ks The scaling coefficient will therefore be: so: k 4π kn N 4π s 4π Now we let the pinhole be at position that is t δ- - :

11 Noll X-ra Notes : Page The iage of the source is not locate at where is the object agnification factor. Thus the ipulse response function is: s h 4 ; π Now we can calculate the iage for an arbitrar transission function using the superposition integral: t s s t s t h t ** 4 4 sub an 4 ; π π π Thus the final iage is equal to the convolution of the agnifie source an the agnifie object. The object is blurre b the source function. The frequenc oain equivalent is: { } 4 v u T v u S F D π Consier / which iels an. The object is agnifie b a factor of an is blurre b the unagnifie source.

12 Noll X-ra Notes : Page Coents:. The least blurring coe when is ae sall. Thus it is esirable to ake the epth plane as far fro the source as possible:. Then -/ an. As we was above aking also reuces geoetric istortions. The coon practice for -ra iaging then is to position the subject ieiatel net to or on top of the etector.. f the thickness of the bo is a liiting factor then let. This will ake the sste close to a parallel ra geoetr with an. The ain proble with this approach is. / an SNR 3. We woul also like the ake s as sall as possible to reuce blurring but s an aking it sall ight reuce the nuber of photons create an thus reuce SNR. 4. For a cople object we can ake µ τ δ an each plane i i will have its own agnification factors. This is not particularl useful but it can give ou soe iea of how blurring an agnification ight affect ifferent parts of a real object ifferentl. Detector ssues Earlier we iscusse the effect of source sie an location on spatial resolution an agnification istortions in -ra iaging. Now we will iscuss etector issues. n selecting etector characteristics we will have a resolution/snr trae-off this coe priaril fro the fact the thicker etectors have better SNR but a larger ipulse response. Conversion of -Ras to Fil Photographic fils are generall not ver sensitive to -ras so -ras ust first be converte to visible light b a scintillating screen:

13 Noll X-ra Notes : Page 3 We will now evelop epressions to represent the ipulse response of the etector. Suppose we have a -ra photon enter the scintillating screen an it interacts at soe epth which we ll call an generates a shower of light photons isotropicall fro a point of which soe eventuall strike the etector. The geoetr is essentiall the sae as a point -ra source striking the etector. Notabl: 3 h r h cos θ but h h b the inverse square law thus: + r 3 h r k + r 3/ The corresponing frequenc oain equivalent is: H ρ πk ep πρ Without loss of generalit we will select k to noralie this epression to have a peak frequenc response of. H ρ ep πρ Notice that right net to the fil : H ρ h r δ Finall we can calculate an average frequenc response b taking:

14 Noll X-ra Notes : Page 4 H ρ H ρ p where p is the probabilit ensit function for an interaction occurring at epth. To eterine this we first recognie that the scintillating screen has its own linear attenuation coefficient µ. The nuber of photons that pass through at an epth is: an the nuber absorbe will be: N Nep µ ep N abs N µ The total fraction absorbe in the etector is: η ep µ where η is etector efficienc which increases with. We can efine the cuulative istribution function as: an thus the probabilit ensit function is: The average frequenc response is then: ep µ P η P µ p ep µ η µ H ρ ep π ρep µ η µ ηπρ+ µ For large ρ this epression looks like: ep πρ+ µ H ρ µ πηρ The high spatial frequencies pla a large role in ictating the shape of the ipulse response close to the peak e.g. h r near r an the low spatial frequencies will ictate the appearance of the tails of h r. Thus near r the average ipulse response will take on the shape:

15 Noll X-ra Notes : Page 5 µ h r πηr recall the inverse Fourier-Bessel transfor of /ρ is /r. The average ipulse response then is ver peake infinite in aplitue. One consequence of this is the coon easures of resolution or blurring e.g. like FWH Full With at Half aiu have no eaning. One wa to evaluate the perforance of the etector sste is to efine a cutoff frequenc ρ k as the frequenc at which the response falls to k H. For saller values of k this is: ρ k µ πηk This in essence give the aiu spatial frequenc that can be etecte where k represents the level of etectabilit. For eaple k. is a coon value an having a higher cutoff frequenc ρ k is esire to iprove spatial resolution. We can now begin to see the SNR resolution trae-off. As increase the etector efficienc η increases which leas to ore -ra photons being etecte an thus the SNR iprove. This however causes ρ k to be saller resulting in lower spatial resolution. Recall that the SNR is proportion to the square root of the nuber -ra photons an in orer to see the the ust be etecte so the SNR is proportional to the root of the nuber -ra photons that are etecte. SNR is therefore proportional to η. Eaple Let s look at a etector with the µ.5 - an.5 an we will use k..

16 Noll X-ra Notes : Page 6 η.3 ρ k 8 an the liiting spatial resolution is approiatel: 5µ ρ Now if we ouble the thickness to.5 : η.53 ρ k k 4.5 an the liiting spatial resolution is approiatel: µ ρ k Coents: n general increasing iproves both η an ρ k. What happens if we put the fil on the back of the scintillator? s the response better or worse? Two Screen Detectors with Double Eulsion Fils To ease the traeoff between resolution an SNR we can use a ouble eulsion fil with a two screen scintillator: We assign a coorinate sste here to ease our analsis:

17 Noll X-ra Notes : Page 7 Since no interaction occur in the fil we can neglect its thickness: For interactions occurring in the first screen : which iels a frequenc response of: h r k ep πρ + r 3/ H ρ ep πρ For interactions occurring in the secon screen : Finall: H ρ ep πρ ep πρ ep πρ for < H ρ ep πρ for < where +. The etector efficienc is again: η ep µ.

18 Noll X-ra Notes : Page 8 We can now fin the average frequenc response in a siilar anner as before: µ ep µ ep πρ ep µ ep πρ + µ H ρ + η πρ µ πρ µ For large ρ this epression looks like: f we take / then: an the cutoff frequenc will be: where [ η ] / Eaple µ H ρ µ πηρ [ ep µ + ep ] µ H ρ η πηρ πηρ ρ k [ ] / µ ep µ [ ] / µ πηk [ η ] / is the iproveent factor over the single eulsion fil sste. Let s look at the previous eaple with a etector with the µ / then an we will use k.. η.3 [ η ] / ρ k 3.7 an the liiting spatial resolution is approiatel: k 76µ ρ Alternativel we can hol ρ k constant b setting. 4 : η.45 ρ k ρ k 8 5µ Overall Sste Response Now we can a the etector response to the other sste eleents:

19 Noll X-ra Notes : Page 9 4 π The ipulse response function will then be: h 4 π or for a circularl setric source function: s ** t ** h r h 4 π s * * h r r s * * h r Object Blurring One issue is how uch oes the etector response blur the object. t is iportant to realie that the etector blurs the agnifie object. Our intuition woul be to ake the object as large as possible b aking / ver large. This woul ictate oving the object as close to the source as possible which is eactl opposite as what we woul like to o to iniie source blurring. Consier also that the agnifie source also blurs the agnifie object source an object have ifferent agnification factors. One wa to look at this is to eaine the response in the coorinate sste of the object rather than the etector : the effective agnification of the source is: ks ** t * * h r an the effective agnification of the etector response is: These are in copetition: to ake the source blurring sall ake to ake the etector response sall ake Coents:

20 Noll X-ra Notes : Page. For ost fil sstes the etector response is ver sall an the source is alost alwas bigger. Therefore we woul like to ake.. For other kins of sstes e.g. igital fluoroscop sstes the etector resolution is uch larger e.g..5 an for these sstes an intereiate a be appropriate.

X-Ray Notes, Part II

X-Ray Notes, Part II oll 6 X-ra oes : Page X-Ra oes Par oise in X-ra Sses par n an -ra sse iages picall are creae fro inensi values ha are relae o he nuber of phoons ha srike a eecor eleen in a finie perio of ie. The phoons

More information

SOLUTIONS for Homework #3

SOLUTIONS for Homework #3 SOLUTIONS for Hoework #3 1. In the potential of given for there is no unboun states. Boun states have positive energies E n labele by an integer n. For each energy level E, two syetrically locate classical

More information

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is:

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is: Noll 6 CT Notes : Page Compute Tomograph Notes Part Challenges with Projection X-ra Sstems The equation that governs the image intensit in projection imaging is: z I I ep μ z Projection -ra sstems are

More information

Geometry. figure (e.g. multilateral ABCDEF) into the figure A B C D E F is called homothety, or similarity transformation.

Geometry. figure (e.g. multilateral ABCDEF) into the figure A B C D E F is called homothety, or similarity transformation. ctober 15, 2017 Geoetry. Siilarity an hoothety. Theores an probles. efinition. Two figures are hoothetic with respect to a point, if for each point of one figure there is a corresponing point belonging

More information

Lecture 36: Polarization Physical Optics II (Optical Sciences 330) (Updated: Friday, April 29, 2005, 8:27 PM) W.J. Dallas

Lecture 36: Polarization Physical Optics II (Optical Sciences 330) (Updated: Friday, April 29, 2005, 8:27 PM) W.J. Dallas C:\Dallas\_Courses\_OpSci_33\ Lecture Notes\36 Polariation.oc: Page of 6 Lecture 36: Polariation Phsical Optics II (Optical Sciences 33 (Upate: Fria, April 29, 25, 8:27 PM W.J. Dallas Introuction Up to

More information

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is:

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is: Noll 3 CT Notes : Page Compute Tomograph Notes Part Challenges with Projection X-ra Sstems The equation that governs the image intensit in projection imaging is: z I I ep µ z Projection -ra sstems are

More information

SPH4U. Conservation of Energy. Review: Springs. More Spring Review. 1-D Variable Force Example: Spring. Page 1. For a spring we recall that F x = -kx.

SPH4U. Conservation of Energy. Review: Springs. More Spring Review. 1-D Variable Force Example: Spring. Page 1. For a spring we recall that F x = -kx. -D Variable Force Exaple: Spring SPH4U Conseration of Energ For a spring we recall that F x = -kx. F(x) x x x relaxe position -kx F = - k x the ass F = - k x Reiew: Springs Hooke s Law: The force exerte

More information

Geometry. Selected problems on similar triangles (from last homework).

Geometry. Selected problems on similar triangles (from last homework). October 30, 2016 Geoetry. Selecte probles on siilar triangles (fro last hoework). Proble 1(5). Prove that altitues of any triangle are the bisectors in another triangle, whose vertices are the feet of

More information

Excited against the tide: A random walk with competing drifts

Excited against the tide: A random walk with competing drifts Excite against the tie: A rano walk with copeting rifts arxiv:0901.4393v1 [ath.pr] 28 Jan 2009 Mark Holes January 28, 2009 Abstract We stuy a rano walk that has a rift β to the right when locate at a previously

More information

PHYSICS ADVANCED LABORATORY I UNIVERSAL GRAVITATIONAL CONSTANT Spring 2001

PHYSICS ADVANCED LABORATORY I UNIVERSAL GRAVITATIONAL CONSTANT Spring 2001 PHYSICS 334 - ADVANCED LABOATOY I UNIVESAL GAVITATIONAL CONSTANT Spring 001 Purposes: Deterine the value of the universal gravitation constant G. Backgroun: Classical echanics topics-oents of inertia,

More information

CHAPTER 37. Answer to Checkpoint Questions

CHAPTER 37. Answer to Checkpoint Questions 1010 CHAPTER 37 DIFFRACTION CHAPTER 37 Answer to Checkpoint Questions 1. (a) expan; (b) expan. (a) secon sie axiu; (b) :5 3. (a) re; (b) violet 4. iinish 5. (a) increase; (b) sae 6. (a) left; (b) less

More information

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b. b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference

More information

26 Impulse and Momentum

26 Impulse and Momentum 6 Ipulse and Moentu First, a Few More Words on Work and Energy, for Coparison Purposes Iagine a gigantic air hockey table with a whole bunch of pucks of various asses, none of which experiences any friction

More information

of conduction electrons

of conduction electrons Dr. Fritz Wilhel, Physics 3 E:\Excel files\3 lecture\ch7 current.ocx Last save: /3/8 :53:; Last printe:/3/8 :53: of 9 Hoework: See website. Table of Contents: Ch. 7 Electric Current an esistance, 7. Electric

More information

Multivariate Methods. Matlab Example. Principal Components Analysis -- PCA

Multivariate Methods. Matlab Example. Principal Components Analysis -- PCA Multivariate Methos Xiaoun Qi Principal Coponents Analysis -- PCA he PCA etho generates a new set of variables, calle principal coponents Each principal coponent is a linear cobination of the original

More information

Geometry. Selected problems on similar triangles (from last homework).

Geometry. Selected problems on similar triangles (from last homework). October 25, 2015 Geoetry. Selecte probles on siilar triangles (fro last hoework). Proble 1(5). Prove that altitues of any triangle are the bisectors in another triangle, whose vertices are the feet of

More information

PHYSICS ADVANCED LABORATORY I UNIVERSAL GRAVITATIONAL CONSTANT Spring 2001 (additions for Spring 2005 on last page)

PHYSICS ADVANCED LABORATORY I UNIVERSAL GRAVITATIONAL CONSTANT Spring 2001 (additions for Spring 2005 on last page) PHYSICS 334 - ADVANCED LABOATOY I UNIVESAL GAVITATIONAL CONSTANT Spring 001 (aitions for Spring 005 on last page) Purposes: Deterine the value of the universal gravitation constant G. Backgroun: Classical

More information

Sample Mean Deviation (d) Chart Under the Assumption of Moderateness and its Performance Analysis Under Normality Against Moderateness

Sample Mean Deviation (d) Chart Under the Assumption of Moderateness and its Performance Analysis Under Normality Against Moderateness Volue-7, Issue-4, July-August 217 International Journal of Engineering a Manageent Research Page Nuber: 292-296 Saple Mean Deviation () Chart Uer the Assuption of Moerateness a its Perforance Analysis

More information

Electromagnetics I Exam No. 3 December 1, 2003 Solution

Electromagnetics I Exam No. 3 December 1, 2003 Solution Electroagnetics Ea No. 3 Deceber 1, 2003 Solution Please read the ea carefull. Solve the folloing 4 probles. Each proble is 1/4 of the grade. To receive full credit, ou ust sho all ork. f cannot understand

More information

Maximum a Posteriori Decoding of Turbo Codes

Maximum a Posteriori Decoding of Turbo Codes Maxiu a Posteriori Decoing of Turbo Coes by Bernar Slar Introuction The process of turbo-coe ecoing starts with the foration of a posteriori probabilities (APPs) for each ata bit, which is followe by choosing

More information

Interference and Diffraction

Interference and Diffraction Topics: What we are going to learn Wave behaviour of EM wave (In the case of light) Interference an iffraction Huygens' principle Interference of light fro ouble slit Thin fil Interferoeter iffraction

More information

Physics 207: Lecture 26. Announcements. Make-up labs are this week Final hwk assigned this week, final quiz next week.

Physics 207: Lecture 26. Announcements. Make-up labs are this week Final hwk assigned this week, final quiz next week. Torque due to gravit Rotation Recap Phsics 07: ecture 6 Announceents Make-up labs are this week Final hwk assigned this week, final quiz net week Toda s Agenda Statics Car on a Hill Static Equilibriu Equations

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Note that an that the liit li! k+? k li P!;! h (k)? ((k? )) li! i i+? i + U( i ) is just a Rieann su representation of the continuous integral h h j +

Note that an that the liit li! k+? k li P!;! h (k)? ((k? )) li! i i+? i + U( i ) is just a Rieann su representation of the continuous integral h h j + G5.65: Statistical Mechanics Notes for Lecture 5 I. THE FUNCTIONAL INTEGRAL REPRESENTATION OF THE PATH INTEGRAL A. The continuous liit In taking the liit P!, it will prove useful to ene a paraeter h P

More information

Physics 207 Lecture 24

Physics 207 Lecture 24 Physics 7 Lecture 4 Physics 7, Lecture 4, Nov. 7 gena: Mi-Ter 3 Review Elastic Properties of Matter, Mouli Pressure, Wor, rchiees Principle, Flui flow, Bernoulli Oscillatory otion, Linear oscillator, Penulus

More information

Random Variables and Densities

Random Variables and Densities Rando Variables and Densities Review: Probabilit and Statistics Sa Roweis Rando variables X represents outcoes or states of world. Instantiations of variables usuall in lower case: We will write p() to

More information

National 5 Summary Notes

National 5 Summary Notes North Berwick High School Departent of Physics National 5 Suary Notes Unit 3 Energy National 5 Physics: Electricity and Energy 1 Throughout the Course, appropriate attention should be given to units, prefixes

More information

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2 Physics 505 Electricity an Magnetism Fall 003 Prof. G. Raithel Problem Set 3 Problem.7 5 Points a): Green s function: Using cartesian coorinates x = (x, y, z), it is G(x, x ) = 1 (x x ) + (y y ) + (z z

More information

Physics 18 Spring 2011 Homework 3 - Solutions Wednesday February 2, 2011

Physics 18 Spring 2011 Homework 3 - Solutions Wednesday February 2, 2011 Phsics 18 Spring 2011 Hoework 3 - s Wednesda Februar 2, 2011 Make sure our nae is on our hoework, and please bo our final answer. Because we will be giving partial credit, be sure to attept all the probles,

More information

Summary of the Class before Exam1

Summary of the Class before Exam1 uar o the lass beore Ea Builing a FEA Moel Ingreients o a FEA sotware pacage teps in builing a FEA oel Moeling consierations D pring/truss Eleents ingle D spring/truss eleent Global stiness atri; properties

More information

Physics Courseware Electromagnetism

Physics Courseware Electromagnetism Phsics Courseware Electromagnetism Electric potential Problem.- a) Fin the electric potential at points P, P an P prouce b the three charges Q, Q an Q. b) Are there an points where the electric potential

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

More information

EFFECTS OF FIBER ORIENTATION FOR THE BUCKLING OF LAMINATED FIBER REINFORCED POLYMER CYLINDRICAL SHELLS

EFFECTS OF FIBER ORIENTATION FOR THE BUCKLING OF LAMINATED FIBER REINFORCED POLYMER CYLINDRICAL SHELLS EFFECTS OF FIBER ORIETATIO FOR THE BCKIG OF AMIATED FIBER REIFORCED POYMER CYIDRICA SHES M. Yanagia 1, Seishi Yaaa an K.K. Bhetwal 1 1 Grauate Stuent, Dept of Architecture an Civil Engrg, Toohashi niversit

More information

1 Bounding the Margin

1 Bounding the Margin COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost

More information

14 - OSCILLATIONS Page 1

14 - OSCILLATIONS Page 1 14 - OSCILLATIONS Page 1 14.1 Perioic an Osciator otion Motion of a sste at reguar interva of tie on a efinite path about a efinite point is known as a perioic otion, e.g., unifor circuar otion of a partice.

More information

7. Differentiation of Trigonometric Function

7. Differentiation of Trigonometric Function 7. Differentiation of Trigonoetric Fnction RADIAN MEASURE. Let s enote the length of arc AB intercepte y the central angle AOB on a circle of rais r an let S enote the area of the sector AOB. (If s is

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

Solution Set #7

Solution Set #7 05-455-0073 Solution Set #7. Consier monochromatic light of wavelength λ 0 incient on a single slit of with along the -ais an infinite length along y. The light is oserve in the Fraunhofer iffraction region

More information

Separation of Variables

Separation of Variables Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical

More information

UMPC mercredi 19 avril 2017

UMPC mercredi 19 avril 2017 UMPC ercrei 19 avril 017 M Mathéatiques & Applications UE ANEDP, COCV: Analyse et contrôle e systèes quantiques Contrôle es connaissances, urée heures. Sujet onné par M. Mirrahii et P. Rouchon Les ocuents

More information

Distributed Lossy Averaging

Distributed Lossy Averaging Distribute Lossy Averaging Han-I Su Departent of Electrical Engineering Stanfor University Stanfor, CA 94305, USA Eail: hanisu@stanforeu Abbas El Gaal Departent of Electrical Engineering Stanfor University

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS. An isosceles triangle, whose base is the interval from (0, 0) to (c, 0), has its verte on the graph

More information

PHYS 1443 Section 003 Lecture #22

PHYS 1443 Section 003 Lecture #22 PHYS 443 Section 003 Lecture # Monda, Nov. 4, 003. Siple Bloc-Spring Sste. Energ of the Siple Haronic Oscillator 3. Pendulu Siple Pendulu Phsical Pendulu orsion Pendulu 4. Siple Haronic Motion and Unifor

More information

Note-A-Rific: Mechanical

Note-A-Rific: Mechanical Note-A-Rific: Mechanical Kinetic You ve probably heard of inetic energy in previous courses using the following definition and forula Any object that is oving has inetic energy. E ½ v 2 E inetic energy

More information

CE 6403 APPLIED HYDRAULIC ENGINEERING UNIT - III RAPIDLY VARIED FLOW

CE 6403 APPLIED HYDRAULIC ENGINEERING UNIT - III RAPIDLY VARIED FLOW CE 6 APPLIED HYDRAULIC ENGINEERING UNIT - III RAPIDLY VARIED FLOW Application of the energy equation for RVF - Critical epth an velocity - Critical, Sub-critical an Super-critical flow - Application of

More information

Causality and the Kramers Kronig relations

Causality and the Kramers Kronig relations Causality and the Kraers Kronig relations Causality describes the teporal relationship between cause and effect. A bell rings after you strike it, not before you strike it. This eans that the function

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

3.8 Three Types of Convergence

3.8 Three Types of Convergence 3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to

More information

Phys101 Lectures 13, 14 Momentum and Collisions

Phys101 Lectures 13, 14 Momentum and Collisions Phs0 Lectures 3, 4 Moentu and ollisions Ke points: Moentu and ipulse ondition for conservation of oentu and wh How to solve collision probles entre of ass Ref: 7-,,3,4,5,6,7,8,9,0. Page Moentu is a vector:

More information

Development of Truss Equations

Development of Truss Equations MANE & CIV Introuction to Finite Eeents Prof. Suvranu De Deveopent of Truss Equations Reaing assignent: Chapter : Sections.-.9 + ecture notes Suar: Stiffness atri of a bar/truss eeent Coorinate transforation

More information

Physics 2107 Oscillations using Springs Experiment 2

Physics 2107 Oscillations using Springs Experiment 2 PY07 Oscillations using Springs Experient Physics 07 Oscillations using Springs Experient Prelab Read the following bacground/setup and ensure you are failiar with the concepts and theory required for

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

Now multiply the left-hand-side by ω and the right-hand side by dδ/dt (recall ω= dδ/dt) to get:

Now multiply the left-hand-side by ω and the right-hand side by dδ/dt (recall ω= dδ/dt) to get: Equal Area Criterion.0 Developent of equal area criterion As in previous notes, all powers are in per-unit. I want to show you the equal area criterion a little differently than the book does it. Let s

More information

YALE TECHNICAL REPORT

YALE TECHNICAL REPORT YALE TECHNICAL REPORT Technical Report TR509 9 May 05 On the Discrepancy of Jittere Sapling Florian Pausinger an Stefan Steinerberger ON THE DISCREPANCY OF JITTERED SAMPLING FLORIAN PAUSINGER AND STEFAN

More information

Center of Gravity and Center of Mass

Center of Gravity and Center of Mass Center of Gravity an Center of Mass 1 Introuction. Center of mass an center of gravity closely parallel each other: they both work the same way. Center of mass is the more important, but center of gravity

More information

Equations of lines in

Equations of lines in Roberto s Notes on Linear Algebra Chapter 6: Lines, planes an other straight objects Section 1 Equations of lines in What ou nee to know alrea: The ot prouct. The corresponence between equations an graphs.

More information

Lecture #8-3 Oscillations, Simple Harmonic Motion

Lecture #8-3 Oscillations, Simple Harmonic Motion Lecture #8-3 Oscillations Siple Haronic Motion So far we have considered two basic types of otion: translation and rotation. But these are not the only two types of otion we can observe in every day life.

More information

SYNCHRONOUS SEQUENTIAL CIRCUITS

SYNCHRONOUS SEQUENTIAL CIRCUITS CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Some Successful Approaches to Software Reliability Modeling in Industry

Some Successful Approaches to Software Reliability Modeling in Industry Soe Successful Approaches to Software Reliability Moeling in Inustry Daniel R. Jeske an Xueei Zhang Bell Laboratories, Holel, NJ 1. Introuction an Context 2. Software Reliability Growth Moels 3. Architecture-Base

More information

acceleration of 2.4 m/s. (b) Now, we have two rubber bands (force 2F) pulling two glued objects (mass 2m). Using F ma, 2.0 furlongs x 2.0 s 2 4.

acceleration of 2.4 m/s. (b) Now, we have two rubber bands (force 2F) pulling two glued objects (mass 2m). Using F ma, 2.0 furlongs x 2.0 s 2 4. 5.. 5.6. Model: An object s acceleration is linearl proportional to the net force. Solve: (a) One rubber band produces a force F, two rubber bands produce a force F, and so on. Because F a and two rubber

More information

Chapter 5 Sludge treatment

Chapter 5 Sludge treatment Chapter 5 Sluge treatent 5.1 Sluge efinition: Sluge is ae of soli aterials separate fro the water line uring wastewater treatent. In aition to solis, sluge contains a high percent of water. 5.2 Sluge sources:

More information

PDE Notes, Lecture #11

PDE Notes, Lecture #11 PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =

More information

Problem Set II Solutions

Problem Set II Solutions Physics 31600 R. Wal Classical Mechanics Autun, 2002 Proble Set II Solutions 1) Let L(q, q; t) be a Lagrangian [where, as in class, q stans for (q 1,..., q n )]. Suppose we introuce new coorinates (Q 1

More information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

8.1 Force Laws Hooke s Law

8.1 Force Laws Hooke s Law 8.1 Force Laws There are forces that don't change appreciably fro one instant to another, which we refer to as constant in tie, and forces that don't change appreciably fro one point to another, which

More information

Problem Set 2 Due Sept, 21

Problem Set 2 Due Sept, 21 EE6: Rando Processes in Sstes Lecturer: Jean C. Walrand Proble Set Due Sept, Fall 6 GSI: Assane Guee This proble set essentiall reviews notions of conditional epectation, conditional distribution, and

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

m A 9. The length of a simple pendulum with a period on Earth of one second is most nearly (A) 0.12 m (B) 0.25 m (C) 0.50 m (D) 1.0 m (E) 10.

m A 9. The length of a simple pendulum with a period on Earth of one second is most nearly (A) 0.12 m (B) 0.25 m (C) 0.50 m (D) 1.0 m (E) 10. P Physics Multiple Choice Practice Oscillations. ass, attache to a horizontal assless spring with spring constant, is set into siple haronic otion. Its axiu isplaceent fro its equilibriu position is. What

More information

In this chapter we will start the discussion on wave phenomena. We will study the following topics:

In this chapter we will start the discussion on wave phenomena. We will study the following topics: Chapter 16 Waves I In this chapter we will start the discussion on wave phenoena. We will study the following topics: Types of waves Aplitude, phase, frequency, period, propagation speed of a wave Mechanical

More information

Global safety formats in fib Model Code 2010 for design of concrete structures

Global safety formats in fib Model Code 2010 for design of concrete structures Cervenka, V: Proceeings of the 11 th International Probabilistic Workshop, Brno 2013 Global safety forats in fib Moel Coe 2010 for esign of concrete structures Vlaiir Cervenka Cervenka Consulting, Prague,

More information

Analysis of Clock Jitter in Continuous-Time Sigma-Delta Modulators

Analysis of Clock Jitter in Continuous-Time Sigma-Delta Modulators Analysis of Clock Jitter in Continuous-Tie Siga-Delta Moulators V.Vasuevan, Meber, IEEE Abstract One of the factors liiting the perforance of continuous-tie siga-elta oulators CTSDM) is clock jitter. This

More information

Some Perspective. Forces and Newton s Laws

Some Perspective. Forces and Newton s Laws Soe Perspective The language of Kineatics provides us with an efficient ethod for describing the otion of aterial objects, and we ll continue to ake refineents to it as we introduce additional types of

More information

Chapter 10 Spatial Coherence Part 2

Chapter 10 Spatial Coherence Part 2 EE90F Chapte0 Spatial Coherence Part Geometry of the fringe pattern: η ( ξ, η ) ξ y Qxy (, ) x ρ ρ r ( ξ, η ) P z pinhole plane viewing plane Define: z + ( x) +( η y) ξ r z + ( x) +( η y) ξ (0.) (0.) ρ

More information

SOLVING LITERAL EQUATIONS. Bundle 1: Safety & Process Skills

SOLVING LITERAL EQUATIONS. Bundle 1: Safety & Process Skills SOLVING LITERAL EQUATIONS Bundle 1: Safety & Process Skills Solving Literal Equations An equation is a atheatical sentence with an equal sign. The solution of an equation is a value for a variable that

More information

Multi-Scale/Multi-Resolution: Wavelet Transform

Multi-Scale/Multi-Resolution: Wavelet Transform Multi-Scale/Multi-Resolution: Wavelet Transfor Proble with Fourier Fourier analysis -- breaks down a signal into constituent sinusoids of different frequencies. A serious drawback in transforing to the

More information

Physics 2112 Unit 5: Electric Potential Energy

Physics 2112 Unit 5: Electric Potential Energy Physics 11 Unit 5: Electric Potential Energy Toay s Concept: Electric Potential Energy Unit 5, Slie 1 Stuff you aske about: I on't like this return to mechanics an the potential energy concept, but this

More information

Lesson 24: Newton's Second Law (Motion)

Lesson 24: Newton's Second Law (Motion) Lesson 24: Newton's Second Law (Motion) To really appreciate Newton s Laws, it soeties helps to see how they build on each other. The First Law describes what will happen if there is no net force. The

More information

Ising Model on an Infinite Ladder Lattice

Ising Model on an Infinite Ladder Lattice Coun. Theor. Phys. (Beijing, China 48 (2007 pp. 553 562 c International Acaeic Publishers Vol. 48, No. 3, Septeber 15, 2007 Ising Moel on an Infinite Laer Lattice GAO Xing-Ru 2,3, an YANG Zhan-Ru 1,2 1

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Precedence Effect. Beamforming

Precedence Effect. Beamforming Preceence Effect Beaforing Deo of the ranssen effect Deonstrates preceence Introuction to 3D Auio capture Directivity of icrophone. Oni-irectional Avantages are that icrophones capture all soun incluing

More information

Improving Ground Based Telescope Focus through Joint Parameter Estimation. Maj J. Chris Zingarelli USAF AFIT/ENG

Improving Ground Based Telescope Focus through Joint Parameter Estimation. Maj J. Chris Zingarelli USAF AFIT/ENG Iproving Ground Based Telescope Focus through Joint Paraeter Estiation Maj J Chris Zingarelli USAF AFIT/ENG Lt Col Travis Blake DARPA/TTO - Space Systes Dr Stephen Cain USAF AFIT/ENG Abstract-- Space Surveillance

More information

arxiv: v1 [physics.flu-dyn] 8 May 2014

arxiv: v1 [physics.flu-dyn] 8 May 2014 Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa

More information

arxiv: v3 [physics.optics] 1 Nov 2016

arxiv: v3 [physics.optics] 1 Nov 2016 Super-resolution iaging using the spatial-frequency filtered intensity fluctuation correlation Jane Sprigg 1,*, Tao Peng 1, and Yanhua Shih 1 arxiv:1409.134v3 [physics.optics] 1 Nov 016 1 University of

More information

The full procedure for drawing a free-body diagram which isolates a body or system consists of the following steps. 8 Chapter 3 Equilibrium

The full procedure for drawing a free-body diagram which isolates a body or system consists of the following steps. 8 Chapter 3 Equilibrium 8 Chapter 3 Equilibriu all effect on a rigid bod as forces of equal agnitude and direction applied b direct eternal contact. Eaple 9 illustrates the action of a linear elastic spring and of a nonlinear

More information

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

More information

Alpha Particle scattering

Alpha Particle scattering Introuction Alpha Particle scattering Revise Jan. 11, 014 In this lab you will stuy the interaction of α-particles ( 4 He) with matter, in particular energy loss an elastic scattering from a gol target

More information

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011 Page Lab Eleentary Matri and Linear Algebra Spring 0 Nae Due /03/0 Score /5 Probles through 4 are each worth 4 points.. Go to the Linear Algebra oolkit site ransforing a atri to reduced row echelon for

More information

Related Rates. Introduction

Related Rates. Introduction Relate Rates Introuction We are familiar with a variet of mathematical or quantitative relationships, especiall geometric ones For eample, for the sies of a right triangle we have a 2 + b 2 = c 2 or the

More information

IMAGE INTERPRETATION USING APPRAISAL ANALYSIS. Abstract. Introduction

IMAGE INTERPRETATION USING APPRAISAL ANALYSIS. Abstract. Introduction IMAGE INERPREAION USING APPRAISAL ANALYSIS Partha S. Routh, Boise State University, Boise, ID Carlyle R. Miller, Boise State University, Boise, ID Abstract In geophysical inversion, a significant effort

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math Lesson 2-7 Fitting a Moel to Data I BIG IDEA If you etermine from a particular set of ata that y varies irectly or inversely as, you can graph the ata to see what relationship is reasonable. Using that

More information

PhyzExamples: Advanced Electrostatics

PhyzExamples: Advanced Electrostatics PyzExaples: Avance Electrostatics Pysical Quantities Sybols Units Brief Definitions Carge or Q coulob [KOO lo]: C A caracteristic of certain funaental particles. Eleentary Carge e 1.6 10 19 C Te uantity

More information

Probabilistic micro-earthquake location for reservoir monitoring Ran Xuan and Paul Sava, Center for Wave Phenomena, Colorado School of Mines

Probabilistic micro-earthquake location for reservoir monitoring Ran Xuan and Paul Sava, Center for Wave Phenomena, Colorado School of Mines Probabilistic icro-earthquake location for reservoir onitoring Ran Xuan an Paul Sava, Center for Wave Phenoena, Colorao School of Mines SUMMARY Micro-earthquake sources an onset ties are ientifie within

More information

DESIGN OF FIR FILTERS WITH ARBITRARY RESPONSES

DESIGN OF FIR FILTERS WITH ARBITRARY RESPONSES M.Tech. creit seinar report, Electronic Systes Group, EE Dept, IIT Bobay, subitte Noveber 004 DESIGN OF FIR FILTERS WITH ARBITRARY RESPONSES N. V. Murali (Roll No. 0430704) Supervisor: Prof. P. C. Paney

More information

PHY 114 Summer 2009 Final Exam Solutions

PHY 114 Summer 2009 Final Exam Solutions PHY 4 Summer 009 Final Exam Solutions Conceptual Question : A spherical rubber balloon has a charge uniformly istribute over its surface As the balloon is inflate, how oes the electric fiel E vary (a)

More information

Feature Extraction Techniques

Feature Extraction Techniques Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that

More information

The accelerated expansion of the universe is explained by quantum field theory.

The accelerated expansion of the universe is explained by quantum field theory. The accelerated expansion of the universe is explained by quantu field theory. Abstract. Forulas describing interactions, in fact, use the liiting speed of inforation transfer, and not the speed of light.

More information

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t. CS 493: Algoriths for Massive Data Sets Feb 2, 2002 Local Models, Bloo Filter Scribe: Qin Lv Local Models In global odels, every inverted file entry is copressed with the sae odel. This work wells when

More information