ecommons University of Dayton Monish Ranjan Chatterjee University of Dayton, Fathi H.A. Mohamed University of Dayton

Size: px
Start display at page:

Download "ecommons University of Dayton Monish Ranjan Chatterjee University of Dayton, Fathi H.A. Mohamed University of Dayton"

Transcription

1 University f Daytn ecmmns Electrical and Cmputer Engineering Faculty Publicatins Department f Electrical and Cmputer Engineering Investigatin f Prfiled Beam Prpagatin thrugh a Turbulent Layer and Tempral Statistics f Diffracted Output fr a Mdified vn Karman phase Screen Mnish Ranjan Chatterjee University f Daytn, mchatterjee1@udaytn.edu Fathi H.A. Mhamed University f Daytn Fllw this and additinal wrks at: Part f the Cmputer Engineering Cmmns, Electrical and Electrnics Cmmns, Electrmagnetics and Phtnics Cmmns, Optics Cmmns, Other Electrical and Cmputer Engineering Cmmns, and the Systems and Cmmunicatins Cmmns ecmmns Citatin Chatterjee, Mnish Ranjan and Mhamed, Fathi H.A., "Investigatin f Prfiled Beam Prpagatin thrugh a Turbulent Layer and Tempral Statistics f Diffracted Output fr a Mdified vn Karman phase Screen" (214). Electrical and Cmputer Engineering Faculty Publicatins. Paper 3. This Cnference Paper is brught t yu fr free and pen access by the Department f Electrical and Cmputer Engineering at ecmmns. It has been accepted fr inclusin in Electrical and Cmputer Engineering Faculty Publicatins by an authrized administratr f ecmmns. Fr mre infrmatin, please cntact frice1@udaytn.edu, mschlangen1@udaytn.edu.

2 Investigatin f Prfiled Beam Prpagatin thrugh a Turbulent Layer and Tempral Statistics f Diffracted Output fr a Mdified vn Karman Phase Screen Mnish R. Chatterjee 1,* and Fathi H. A. Mhamed 1 1 Department f Electrical & Cmputer Engineering University f Daytn, Daytn, Ohi * Crrespnding authr ABSTRACT Gaussian beam prpagatin thrugh a turbulent layer has been studied using a split-step methdlgy. A mdified vn Karman spectrum (MVKS) mdel is used t describe the randm behavir f the turbulent media. Accrdingly, the beam is alternately prpagated (i) thrugh a thin Fresnel layer, and hence subjected t diffractin; and (ii) acrss a thin mdified vn Karman phase screen which is generated using the pwer spectral density (PSD) f the randm phase btained via the crrespnding PSD f the medium refractive index fr MVKS turbulence. The randm phase screen in the transverse plane is generated frm the phase PSD by incrprating (Gaussian) randm numbers representing phase nise. In this paper, numerical simulatin results are presented using a single phase screen whereby the phase screen is lcated at an arbitrary psitin alng the prpagatin path. Specifically, we examine the prpagated Gaussian beam in terms f several parameters: turbulence strength, beam waist, prpagatin distance, and the incremental distance fr Fresnel diffractin fr the case f extended turbulence. Finally, n-axis tempral statistics (such as the mean and variance) f the amplitude and phase f the prpagated field are als derived. Keywrds: Atmspheric turbulence, Gaussian beam, Mdified vn Karman spectrum, split-step beam prpagatin methd, randm phase screen. 1. INTRODUCTION Atmspheric turbulence effects may have a strng influence n several laser applicatins whereby the turbulence causes fluctuatins in bth the intensity and the phase f the received light signal. Experimental studies f atmspheric turbulence effects n laser beam prpagatin is f imprtance in relating envirnmental parameters t beam prpagatin effects and estimate magnitudes f perturbatins which degrade the perfrmance f laser systems [1]. Theretical descriptins in the intermediate and strng turbulence regimes are less well develped than fr weak turbulence. Knwledge f atmspheric turbulence effects is helpful in the develpment f a wide class f atmsphericptics systems including laser cmmunicatin, energy transfer, remte sensing, and active and passive imaging systems. Inhmgeneities in the temperature and pressure f the atmsphere lead t variatins f the refractive index alng the transmissin path. Index inhmgeneities can deterirate the quality f the received signal and cause fluctuatins in bth the intensity and the phase f the received signal. Several atmspheric turbulence spectral mdels use randm phase screens t mdel the turbulence [2-5]. Cmmn amng these are the Klmgrv, Tatarski, vn Karman and mdified vn Karman spectra (MVKS). The phase fluctuatins f the phase screen used t mdel the randm phase distributin within the aperture are parameterized by the Fried parameter, which describes the transverse cherence length, and the inner and uter scales that determine the amunt f aberratin seen by the prpagating beam. The splitstep prpagatin methd invlving the Fresnel-Kirchhff diffractin integral is used t mdel the prpagatin f the Free-Space Laser Cmmunicatin and Atmspheric Prpagatin XXVI, edited by Hamid Hemmati, Dn M. Brsn, Prc. f SPIE Vl. 8971, SPIE CCC cde: X/14/$18 di: / Prc. f SPIE Vl

3 electrmagnetic wave thrugh turbulence media wherefrm the scintillatin index (SI) and fringe visibility (FV) may be calculated [3]. Mdeling laser beam prpagatin thrugh turbulence using successive phase screens prvides an efficient tl fr tracking the effect f atmspheric turbulence laser beam prpagatin. In this wrk, a split-step beam prpagatin methd (SSBPM) is used whereby either a single randm phase screen r extended (multiple) randm phase screens are placed at arbitrary lcatin(s) alng the prpagatin path. In additin, the PSD f the MVKS spectrum is used in this wrk due t its simplicity while still including bth the inner and uter scales defining the inertial range fr turbulent eddies. In this paper, we have studied the effect f atmspheric turbulence n the prpagatin f a Gaussian beam prfile. This study was prmpted by the eventual desire t prpagate a mdulated chatic wave generated frm an acust-ptic cell with feedback thrugh the turbulence. In the initial stages f the wrk, tw scenaris were fllwed: a single randm phase screen lcated at a specific distance frm the aperture plane fr which the field intensity at the bservatin (image) plane is numerically calculated, and extended (multiple) randm phase screens that are placed an infinitesimal distance (Δz) apart and nce again the field intensity at different psitins and at the image plane is calculated using the split-step algrithm. Three parameters were chsen fr bth cases: strength f turbulence (weak r strng), width f the prfiled Gaussian beam (with beam waist w either wide r narrw), and (c) prpagatin distance L. Mre details abut theses parameters will be discussed with the simulatin results and interpretatin. We als nte that in this paper, we nly reprt the results fr a single planar phase screen placed alng the prpagatin path. Als, sme wrk regarding n-axis time statistics f diffracted amplitude and phase in the image plane during prpagatin in atmspheric turbulence is discussed fr the case f a thin turbulent layer represented by a planar randm phase screen. The utline f this paper is as fllws. In sectin 2, the split-step prpagatin methd incrprating the Fresnel-Kirchhff diffractin integral is discussed briefly. A general verview f the turbulence, its mdels and randm phase screen generatin is presented in sectin 3. The simulatin results and interpretatins are reprted in sme detail in sectin 4. Sectin 5 prvides cncluding remarks and an utline f nging and future wrk. 2. THE SPLIT-STEP BEAM PROPAGATION METHOD Mst atmspheric turbulence simulatins use the split-step algrithm t mimic the turbulence and it is a cmmn methd fr the analysis f laser beam prpagatin thrugh inhmgeneus media. In this paper, we have applied the SSBPM t all numerical simulatins fr single and multiple phase screens and fr time-statistical analyses f atmspheric turbulence. We intrduce here a brief descriptin f SSBPM. It is knwn that the beam prpagatin methd is used widely fr the numerical simulatin f prpagatin thrugh inhmgeneus, anistrpic, and nnlinear materials including waveguiding structures with weak variatins alng the prpagatin directin [9]. The methd relies n cmputing the slutins in infinitesimally small steps taking int accunt the linear and nnlinear (r nndeterministic) steps separately. The key methdlgy behind the SSBPM are tw-fld. First, the expected prpagatin distance is sectined int infinitesimal segments. Secndly, the linear prcesses (such as diffractive integrals) are perfrmed between the spatial frequency dmain r k-space and the spatial crdinates, which are interrelated. Crrespndingly, the randm phase functin defined by the MVKS mdel ( ()) is in the spatial frequency dmain as such; it is then prcessed via a series f transfrmatins s that we finally btain a spatial phase distributin, where the subscripts (i,j) imply spatial crdinates f pints n the chsen grid within which the phase distributin is applied. In the case f extended turbulence (with multiple randm phase screens), nt reprted here, the prpagatin distance, L, is divided int increments Δz =L/n, where is the number f randm phase screens [1]. In the SSBPM, we begin with the prfiled electrmagnetic (EM) beam at z =. The prfiled beam (Gaussian in ur case) travels the first lngitudinal increment (Δz) (frm z t z + Δz). In this distance (Δz), the field is subjected t the familiar Fresnel-Kirchhff diffractin integral with z replaced by Δz as fllws: Prc. f SPIE Vl

4 (, ) = (, ) ( ) ( ), (1) where (, ) is the input prfiled beam, (, ) is the field after distance Δz, k is the unbunded wave number and λ is the wavelength in the medium. When the prfiled EM wave reaches the first randm phase screen, the secnd peratr in the algrithm describes the effect f prpagatin in the absence f diffractin and in the presence f the medium inhmgeneities (randm phase screen in ur case); this is incrprated in the spatial dmain. Hence, after a distance f Δz, the phase perturbatins caused by refractive index fluctuatin arising frm turbulence effects are represented by multiplying the field by a phase functin e (,) as: (, ) = (, ) e (, ), (2) where (, ) is the field amplitude immediately after randm phase screen, and (, ) is the field befre randm phase screen. The abve prcess is repeated until the field has traveled the desired distance. All the simulatin results presented in this paper were carried ut using SSBPM. In the case f a single phase screen, the prpagatin path is divided int tw segments: frm the input prfiled Gaussian beam t the phase screen, and frm the phase screen t the bservatin plane at z = L. The single phase screen may be cnsidered as a special case f the extended phase screen. Fr the extended phase screen (representing a wide range f turbulence), it is fund that a tradeff is needed between the accuracy and cmplexity. Thus, fr a given prpagatin distance, if the number f phase screens is increased, the crrespnding incremental diffractive distance (Δz) will be lwer. This leads t an increase in the prcessing time. Ideally, fr better representatin f the atmspheric turbulence ver an extended medium, ne must use the cnditins Δz and number f phase screens. 3. ATMOSHERIC TURBULENCE In this sectin, we briefly intrduce a brief verview f atmspheric turbulence and in particular the mdified vn Karman (MVKS) phase turbulence mdel. We als discuss numerical generatin f the randm phase screen which describes the randm behavir f the turbulence ver a thin transverse layer in the prpagatin directin. The characteristics f the ptical wave transmitted thrugh atmspheric turbulence can underg dramatic changes resulting in ptential system perfrmance degradatin. In standard turbulence mdeling, three parameters characterizing atmspheric turbulence play an imprtant rle in describing medium behavir: the refractive index structure parameter (C ) which describes the strength f the atmspheric turbulence, and the inner ( ), and uter (L ) scales f turbulence eddies. The wrk reprted here is a part f nging research invlving prpagatin f chatic (and encrypted) EM waves thrugh atmspheric turbulence. 3.1 vn Karman Spectrum The pwer spectrum density f the vn Karman Spectrum (als called the mdified vn Karman spectrum (MVKS) in the frm shwn) is given by [11]: () =.33, (3) where C is the medium structure parameter, = 5.92 is an equivalent wavenumber related t the inner scale, = 2 is a wavenumber related t the uter scale, and k is the unbunded nn-turbulent wavenumber in the medium. In the abve equatin, () represents the s-called pwer spectral density (PSD) f the refractive index f the medium. Prc. f SPIE Vl

5 3.2 Thin phase screen generatin In this sectin we discuss the generatin f a phase screen t mimic the statistical behavir f the phase fluctuatins due t a turbulent atmsphere using a discrete grid and generating the phase screen frm the given spectrum based n fast Furier transfrm (FFT) techniques. The purpse f a phase screen is t simulate the randm phase perturbatins resulting frm randm index fluctuatins in extended atmspheric turbulence [12]. The generated randm phase screen (either planar r extended) in this paper is characterized by several different parameters: C (r Fried parameter r ), inner and uter scales, and L respectively, and the incremental spatial frequencies,. The prcedure f phase screen generatin is as fllws: beginning with the MVKS mdel with given parameters as mentined, and by using a standard scheme based n Furier transfrm generatin, a set f randm cmplex numbers (fllwing a Gaussian distributin) is generated n the chsen grid. Fllwing eq. (4), the randm numbers are multiplied by the square rt f the phase pwer spectrum (PPS) wherefrm an inverse Furier transfrm prduces the phase screen. The real part f the result is taken t be the randm phase functin φ(x, y) due t atmspheric fluctuatins based n the MVKS mdel. The discrete phase distributin in 2-D is given as: = ( + ), (4) where IFFT represents the inverse fast Furier transfrm peratin, is the pwer spectral density (given belw) evaluated in the transverse plane, and a and b are randm numbers generated in rder t apprpriately mimic the randm nise-like characteristics f the vn Karman phase. The MVKS pwer spectral density may be expressed as: () =3. (5) 4. NUMERICAL SIMULATIONS, RESULTS, AND INTERPRETATIONS In this sectin, we present numerical simulatin results f the prfiled Gaussian beam passing thrugh turbulence medium. In this paper, we present results fr a planar randm phase screen placed at a pre-determined lcatin alng the prpagatin. We als reprt sme time statistics crrespnding t the diffracted field amplitude and phase n axis at the image plane. Sme f the parameters are kept cnstant during the simulatin prcess. These parameters cnsist f: number f sample pints (grid reslutin) = 512x512, wavelength λ=1µm, physical size f grid = mmxmm, inner scale l = 1mm, and uter scale L = 3mm respectively. As we mentined earlier, the ther parameters (C r r, w,and L) are varied depending n weak r strng turbulence, wide r narrw Gaussian beam, and different prpagatin path lengths. Fr an extended phase screen we als have the lngitudinal increment (Δz), which is the physical distance between tw successive phase screens. 4.1 Single phase screen In the fllwing, we place the randm phase screen at the lcatins,.5l, and L. A Gaussian beam is then prpagated first frm the bject plane t the phase screen under near-field cnditin, and thereafter, fllwing passage thrugh the screen, nce again via the diffractin integral t the image plane. The resulting beam prfile, phase distributin and the scalar field amplitudes are then determined at the image plane. Case I. Turbulence strength In standard atmspheric turbulence literature, it is knwn that the numerical ranges f the structure parameter C defining strng, intermediate and weak turbulence are defined as: C >1 m-2/3 strng 1 < < 1 m-2/3 intermediate C <1 m -2/3 weak Prc. f SPIE Vl

6 While the abve represents the necessary values f the structure parameter defining a certain turbulence regime, we als need t specify the s-called Fried parameter r crrespnding t the chsen C. This is btained via the relatin: r =.185, (6) where k is the unbunded wave number, and L is the prpagatin distance. Weak turbulence Using the abve infrmatin, ne may arrive at a weak turbulence regime defined by: r =1 mm r C =1.67x1-18 m -2/3. O.4 r O - - Y [m] x [rn] -s - 5 [ml X [m] 1 Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( a=1.671e-18 j3) w=mm Parameters after prpagatin: Maximun Intensity =.7188 (w/ m2 ) Beam waist = mm Fig.1. Gaussian beam prpagatin t distance z=l (phase screen at the bject plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane..--; ti C cu... (ml" - x - L - x h.] 67g' a a) _z - - P-; - -1 [ml 1 y ht2 - X [M] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( 6=1.671e-18 ni2/3 ) w=mm Parameters after prpagatin: Maximun Intensity = (w / n-? ) Beam waist = mm Fig.2. Gaussian beam prpagatin t distance z=l (phase screen at.5l). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

7 - 5 c E X (MI um- - )(fin") Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( a=1.671e-18 rri2/3 ) w=mm Parameters after prpagatin: Maximun Intensity =.7116 (w / m2 ) Beam waist = mm Fig.3. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Strng turbulence Similarly, fr this case, we chse r =.1mm r C =1.67x1-13 m -2/3. F) C a) A..... [rnr2 - VI] E - - [m].8.8 a) - - E - -1 X Im! 1 Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r=2743cm ( a=1.671e-13 rri22 ) w=mm Parameters after prpagatin: Maximun Intensity = (w / m2 ) Beam waist = mm Fig.4. Gaussian beam prpagatin t distance z=l (phase screen at the bject plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

8 I I - - x trrq 1.8 c1.5 c.5 1 a) - n x Ern] 1 Y DT X Im] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r=2743cm ( a=1.671e-13 ni213 w=mm Parameters after prpagatin: Maximun Intensity = (w / m2 ) Beam waist =.97852mm Fig.5. Gaussian beam prpagatin t distance z=l (phase screen at.5l). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. "E Si Im ii R ID A CI) c O) - - 7g: O - -1 X [al] 1 O) ca 5 as a -5? r=2743cm ( a=1.671e-13 rrin3 w=mm in.d- - x (m) Parameters after prpagatin: Maximun Intensity =.7116 (w / n-12 ) Beam waist = mm Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km Fig.6. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Frm Figs. 1-6, we bserve that the Gaussian beam suffers mre amplitude distrtin and likely mre phase fluctuatins fr strng turbulence cmpared t weak turbulence. Regarding the randm phase screen placement, we find that the phase fluctuatins increase when the phase screen is placed at the beginning f the prpagatin distance (at ) r the middle (.5L) cmpared t the end (L) relative t the prpagatin path. An intuitive interpretatin might be as fllws. Thus, when the phase screen is placed at, the prpagated beam passes thrugh the randm phase screen (turbulence) befre any kind f self-diffractin alng the prpagatin path, while when the phase screen at the image plane (at z=l), the prpagated beam is subjected t self-diffractin befre it reaches the randm phase screen at the end. In ther wrds, when an EM beam acquires a randm phase prfile, the resulting phase fluctuatins are mre Prc. f SPIE Vl

9 prnunced as the beam prpagates ver an arbitrary distance under self-diffractin. On the ther hand, when the beam initially self-diffracts with a deterministic phase prfile, and encunters a randm phase at the end, the exiting beam des nt experience a cmparable rate f phase fluctuatins. We may als nte that under weak turbulence, while the phase fluctuatins may still be prnunced, the amplitude r intensity prfile remains relatively unaffected. Als, under weak turbulence, the incident Gaussian underges peak amplitude (r intensity) decay during prpagatin. Since the medium is cnsidered lssless, this decay simply implies a lwering f the Gaussian peak as the prfile bradens due t diffractin. Under strng turbulence, n the ther hand, fr earlier screen placement, the diffracted beam nt nly splits and cnsequently distrts, it als experiences apparent peak intensity increase. This might seem t be cntradictry fr a lssless prpagatin; hwever, we nte that the increased intensity peak is prbably misleading, and mre likely there ccurs split utput amplitudes f ppsite plarities that wuld still cnserve net energy and pwer. Since the plts shw intensity (which is amplitude-squared), this feature is nt visible in the plts. Further quantitative analyses t affirm these findings are pending. Case II. Waist f the Gaussian beam In this case, we cnsider mderate turbulence ( r =.5 mm, r C = x 1-16 m -2/3 ). We cnsider als the physical size f the Gaussian beam, which we define in the fllwing as narrw r wide. In this series, bth narrw and wide will imply Gaussian beams whse spt size (2w ) fits well within the size f the diffractin grid. Thus, narrw and wide beams are nly defined in terms f the relative spt sizes f the beams, and nt necessarily in terms f cmparisn with the aperture. Narrw Gaussian beam (w=1 mm) :.1 cm c- - -tini -1 1 [rn] `dl ftl r= cm (C?i= e -16 n1213 ) w =lmm - Parameters after prpagatin: Grid size =mm x mm Grid Reslutin = 512x512 Pixels Ttal distance L =5 km Maximun Intensity = 42 (w / m2 ) Beam waist = mm Fig.7. Gaussian beam prpagatin t distance z=l (phase screen at the bject plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

10 [m].3.1 Ñ c m.1 - Ê X [m] s 1 Grid size =mm x mm Grid Reslutin = 512x512 Pixels Ttal distance L =5 km r= cm (C F1.5725e -16 rr t3 ) w =lmm Parameters after prpagatin: Maximun Intensity = 4236 (w / m2 ) Beam waist = mm Fig.8. Gaussian beam prpagatin t distance z=l (phase screen at.5l). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane ) L Ern] 1 5 -,,.. 5 I' lifffriril - Irr,T2 x lm1 Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( a=1.5725e-16 rri2/3 ) w=1mm Parameters after prpagatin: Maximun Intensity = 423 (w / n-12 ) Beam waist =2227mm Fig.9. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

11 Wide Gaussian beam (w=1 mm ) Y E c _ 1 y [m] - - [M] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( CR=1.5725e-16 m2/3 ) w=1mm Parameters after prpagatin: Maximun Intensity = 1.19 (w / m2 ) Beam waist =99.886mm Fig.1. Gaussian beam prpagatin t distance z=l (phase screen at the bject plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane c X [m] 1 m 5 c a _s,, yj1...::...,.. - [imi- - X [m] Grid size =mm x mm Grid Reslutin = 512x512 Pixels Ttal distance L =5 km r= cm (a= e -16 ri12'3 ) w =1mm Parameters after prpagatin: Maximun Intensity = (w 1 n12 ) Beam waist = mm Fig.11. Gaussian beam prpagatin t distance z=l (phase screen at.5l). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

12 -1 g a) - - :E X [1 - - y Im] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=5 km r= cm ( Cg=1.5725e-16 ni23 ) w=1mm Parameters after prpagatin: Maximun Intensity =.9752 (w / m2 ) Beam waist =1.7871mm Fig.12. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Figs.7-12 shw that fr narrw Gaussian beams under mderate turbulence, placement f the phase screen early in the prpagatin likely nce again creates greater verall phase fluctuatin prfiles in the utput beam. Additinally, there is pssibly sme beam amplitude splitting that happens at the utput fr early phase screen placements cmpared with placements further alng the diffractin path. Fr wider Gaussian beams, similar amplitude-splitting behavir is nce again evident; mrever, we als bserve a phase clustering effect arund the edges f the grid when the phase screen is placed well befre the end f the prpagatin path. As befre, there is als peak amplitude r intensity decay in the utput beams. As mentined befre, further quantitative analyses f these phenmena are currently pending. Case III. Prpagatin distance In this case, we again cnsider mderate turbulence ( r =.5 mm r C = x 1-16 m -2/3 ). Fr the cases studies presented here, the Fraunhfer r far-field distance (D 2 /λ, where D is the grid size) happens t be abut 2 km. Thus, all prpagatin cases reprted herein apply nly t near-field diffractin. In the reprt presented here, we simply discuss the effect f prpagatin distance upn the diffracted EM beam within the Fresnel regime, except that we cmpare relatively shrt versus lnger lngitudinal prpagatin distances. Prc. f SPIE Vl

13 L=1km - 1 E. - x [ml.5 c 'L= - O [rr] 1 5 as a. -5 imf... i r= cm ( a=7.8625e-16 r'?... w=mm - Parameters after prpagatin: x Maximun Intensity = (w / ) Beam waist =49.943mm Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=1 km Fig.13. Gaussian beam prpagatin t distance z=l (phase screen at bject plane). 3-D Gaussian beam, Gaussian beam crsssectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane..8 m c O - Ê -.8 C - - Ê x[m] 1 Grid size =mm x mm Grid Reslutin = 512x512 Pixels Ttal distance L =1 km r= cm (C2rF7.8625e -16 g13 ) w =mm Parameters after prpagatin: Maximun Intensity =.9873 (w / m2 ) Beam waist =.8828mm Fig.14. Gaussian beam prpagatin t distance z=l (phase screen at.5 L). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

14 E X [MI 1 trr.f2 Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=1 km r= cm ( a=7.8625e-16 n1213 ) w=mm - Parameters after prpagatin: Maximun Intensity =.9845 (w / m2 ) Beam waist =.8828mm Fig.15. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. L=1 km.3 77;.1 a) "6.....;.....; [m] x E. - - [m) E X [m] 1 and 3 (.13 _c a Y Inq., le, - x Ern] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=1 km r= cm ( a=7.8625e-17 ni23 ) w=mm Parameters after prpagatin: Maximun Intensity = (w / m2 ) Beam waist = mm Fig.16. Gaussian beam prpagatin t distance z=l (phase screen at bject plane). 3-D Gaussian beam, Gaussian beam crsssectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Prc. f SPIE Vl

15 .3 > 'y.1 c m Y ] : - - Ê naiti - -1 X [m] 1 5 a) as a -5 Y [m1- fll, : - x[m] Grid size =mm x mm Grid Reslutin = 512x512 Pixels Ttal distance L =1 km r= cm (C?i= e -17 ni213 ) w =mm Parameters after prpagatin: Maximun Intensity =.381 (w 1 m2 ) Beam waist = mm Fig.17. Gaussian beam prpagatin t distance z=l (phase screen at.5l r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. rt 3.3 'c7.1 C a) : O [m] - - [m] - 1: - 6? c "e" - O -.."11111! Itill3111"a 1 I" r - -1 X [M] 5. I y [m]- - x[m] Grid size=mm x mm Grid Reslutin=512x512 Pixels Ttal distance L=1 km r= cm ( Ca=7.8625e-17 n[2/3) w=mm Parameters after prpagatin: Maximun Intensity = (w / m 2) Beam waist = mm Fig.18. Gaussian beam prpagatin t distance z=l (phase screen at L r image plane). 3-D Gaussian beam, Gaussian beam crss-sectin, (c) Gaussian beam prfile, Randm phase screen prfile, and Gaussian beam phase distributin in transverse utput plane. Frm Figs.13-18, we find that fr prpagatin t shrter distances, the utput EM beam suffers very little amplitude distrtin r decay, and likely a small amunt f diffractive bradening. On the ther hand, the phase fluctuatins are nce again greater fr earlier screen placements cmpared with placements later alng the prpagatin path. Fr prpagatin t lnger distances, we bserve greater diffractive bradening, as expected. Additinally, there is als greater amplitude decay and greater phase fluctuatin fr earlier screen placement, as befre. There is likely als a small amunt f diffractive beam splitting in the utput fr early phase screen placement. Further quantitative analyses are als pending fr this case. Prc. f SPIE Vl

16 4.2 Tempral statistics We nte at this stage that investigating the prpagatin f EM waves thrugh atmspheric turbulence in the current wrk has been mtivated by the prblem f chatic wave prpagatin thrugh a turbulent layer. While the majrity f turbulence mdels are in the spatial r inverse dmains, the chatic acust-ptic first-rder light is characterized by time-dependent chas. As a result, it becmes necessary t develp the means t track the turbulence as a functin f time. One way t accmplish this is t realize that the randm phase fluctuatins assciated with MVKS is als inherently a time-dependent phenmenn. Thus, the phase f an EM wave will nt nly fluctuate randmly in space (via inner and uter scales), but als with time. In the simulatins presented here, this time fluctuatin enter directly int the prcess because the randm numbers used as part f the generatin f the MVKS phase functin will als autmatically change randmly with time. Thus, ne may evaluate tempral statistical measures f the utput field in the system under study fr bth amplitude and phase in rder t develp an apprpriate tempral mdel. In this sectin, the tempral mean and variance f the amplitude and phase f the diffracted field are cmputed by placing the single randm phase screen at arbitrary psitins alng the prpagatin path (say in steps f.1l frm the bject t the image planes) and evaluating the diffracted Gaussian beam at image plane (z=l). Fr each phase screen psitin, the n-axis mean and variance f the amplitude and phase f the field are calculated. A turbulence strength f r =.1mm r C = 2.7 x 1-13 m -2/3, Gaussian beam waist f w =mm, prpagatin distance L=5km, and number f sample pints (grid reslutin) f 513x513 are used fr this cmputatin. The number f samples (iteratins) used t calculate the mean and variance f the amplitude and phase f the field is times (N=), i.e., the randm phase screens acrss which the EM wave prpagates are re-created times. Fig.19 shws the mean and variance f the amplitude and phase f the diffracted Gaussian beam at z=l fr different randm phase screen psitins Mean and variance Amplitude(mean) Amplitude(variance) Phase(mean) Phase(variance) Nrmalized phase screen lcatin Fig.19. On-axis mean and variance f the amplitude and phase f diffracted Gaussian beam at Z=L fr different randm phase screen psitins. We nte here that tempral statistics fr pints in the paraxial regin as well as sufficiently ff-axis have als been cmputed. Clearly, the verall scales f the time statistics in terms f crrespnding inner and uter scales in time need t be examined and derived further. These and ther relevant results will be analyzed and presented in fllw-up wrk. Prc. f SPIE Vl

17 5. CONCLUDING REMARKS In this wrk, we have studied the influence f atmspheric turbulence n prfiled Gaussian beams prpagating ver distances in the 1 t 1 km range. A PSD f the MVKS was used t generate the randm phase screen representing the randm behavir f the turbulent atmsphere. Furthermre, a split-step prpagatin methd invlving Fresnel- Kirchhff diffractin cmbined with transmissin thrugh a thin randm phase screen was applied. Numerical simulatins are presented fr a narrw regin f turbulence. Diffracted utput fields are derived fr different system parameters cnsisting turbulence strength, Gaussian beam waist and the prpagatin distance. The simulatin results shw that the diffracted Gaussian beam underges greater distrtin fr extended phase turbulence (results fr this will be discussed elsewhere). Als, the Gaussian beam waist and the prpagatin distance are fund t have a direct impact n the diffracted field under narrw atmspheric turbulence. Finally, n-axis tempral statistics (mean and variance) f the amplitude and phase f the diffracted Gaussian beam have been calculated in anticipatin f the use f this infrmatin in tracking subsequent prpagatin f (mdulated) chatic waves thrugh the turbulence. The gal wuld be t examine if a chatic wave exhibits any degree f immunity relative t turbulence cmpared with deterministic, nn-chatic waves. REFERENCES [1] L. Sjöqvist, M. Henrikssn and O. Steinvall, Simulatin f laser beam prpagatin ver land and sea using phase screens a cmparisn with experimental data, Prc. SPIE 5989, (5). [2] V.S. Ra Gudimetlaa, R.B. Hlmesb, T.C. Farrella, and J. Lucas, Phase screen simulatins f laser prpagatin thrugh nn-klmgrv atmspheric turbulence, Prc. SPIE 838, (May 211). [3] E.M. Whitfield, P.P. Banerjee and J.W. Haus, Prpagatin f Gaussian beams thrugh a mdified vn Karman phase screen, Prc. SPIE 8517, (Oct. 212). [4] L.C. Andrews, R.L. Phillips and A.R. Weeks, "Prpagatin f a Gaussian-beam wave thrugh a randm phase screen," Waves in Randm Media 7, (1997). [5] X. Zhu and J.M. Kahn, Free-space ptical cmmunicatin thrugh atmspheric turbulence channels, IEEE Trans. Cmm., n. 8 (Aug. 2). [6] R.R. Kumar, A. Sampath and P. Indumathi, Secure ptical cmmunicatin using chas, Opt. Cmm., Indian J. Science and Tech. 4, n. 7, , (July 211). [7] L. Larger and J. Gedgebuer, Encryptin using chatic dynamics fr ptical telecmmunicatins, C. R. Physique 5, (4). [8] M. R. Chatterjee and M. Alsaedi, Examinatin f chatic signal encryptin and recvery fr secure cmmunicatin using hybrid acust-ptic feedback Opt. Eng., n. 5, (May 211). [9] J. D. Schmidt, Numerical Simulatin f Optical Wave Prpagatin with Examples in Matlab, SPIE Press: Bellingham, WA (21). [1] T. C. Pn and T.Kim, Engineering Optics with Matlab, Wrld Scientific: Singapre (6). [11] L.C. Andrews and R.L. Phillips, Laser Beam Prpagatin thrugh Randm Medium, 2nd Ed., SPIE Press: Bellingham, WA (1998). [12] M.C. Rggemann and B.M Welsh, Imaging Thrugh Turbulence, CRC Press: Bca Ratn, FL (1996). Prc. f SPIE Vl

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must M.E. Aggune, M.J. Dambrg, M.A. El-Sharkawi, R.J. Marks II and L.E. Atlas, "Dynamic and static security assessment f pwer systems using artificial neural netwrks", Prceedings f the NSF Wrkshp n Applicatins

More information

Interference is when two (or more) sets of waves meet and combine to produce a new pattern.

Interference is when two (or more) sets of waves meet and combine to produce a new pattern. Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme

More information

Methods for Determination of Mean Speckle Size in Simulated Speckle Pattern

Methods for Determination of Mean Speckle Size in Simulated Speckle Pattern 0.478/msr-04-004 MEASUREMENT SCENCE REVEW, Vlume 4, N. 3, 04 Methds fr Determinatin f Mean Speckle Size in Simulated Speckle Pattern. Hamarvá, P. Šmíd, P. Hrváth, M. Hrabvský nstitute f Physics f the Academy

More information

Soliton-Effect Optical Pulse Compression in Bulk Media with χ (3) Nonlinearity. 1 Introduction

Soliton-Effect Optical Pulse Compression in Bulk Media with χ (3) Nonlinearity. 1 Introduction Nnlinear Analysis: Mdelling and Cntrl, Vilnius, IMI,, N 5 Lithuanian Assciatin f Nnlinear Analysts, Slitn-Effect Optical Pulse Cmpressin in Bulk Media with χ (3) Nnlinearity Received: 9.7. Accepted: 11.1.

More information

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

More information

Least Squares Optimal Filtering with Multirate Observations

Least Squares Optimal Filtering with Multirate Observations Prc. 36th Asilmar Cnf. n Signals, Systems, and Cmputers, Pacific Grve, CA, Nvember 2002 Least Squares Optimal Filtering with Multirate Observatins Charles W. herrien and Anthny H. Hawes Department f Electrical

More information

^YawataR&D Laboratory, Nippon Steel Corporation, Tobata, Kitakyushu, Japan

^YawataR&D Laboratory, Nippon Steel Corporation, Tobata, Kitakyushu, Japan Detectin f fatigue crack initiatin frm a ntch under a randm lad C. Makabe," S. Nishida^C. Urashima,' H. Kaneshir* "Department f Mechanical Systems Engineering, University f the Ryukyus, Nishihara, kinawa,

More information

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems. Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance Verificatin f Quality Parameters f a Slar Panel and Mdificatin in Frmulae f its Series Resistance Sanika Gawhane Pune-411037-India Onkar Hule Pune-411037- India Chinmy Kulkarni Pune-411037-India Ojas Pandav

More information

Determining the Accuracy of Modal Parameter Estimation Methods

Determining the Accuracy of Modal Parameter Estimation Methods Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system

More information

Beam Combining and Atmospheric Propagation of High Power Lasers

Beam Combining and Atmospheric Propagation of High Power Lasers Naval Research Labratry Washingtn, DC 0375-530 NRL/MR/6790--11-9371 Beam Cmbining and Atmspheric Prpagatin f High Pwer Lasers Phillip Sprangle Jseph Peñan Beam Physics Branch Plasma Physics Divisin Bahman

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

Thermodynamics Partial Outline of Topics

Thermodynamics Partial Outline of Topics Thermdynamics Partial Outline f Tpics I. The secnd law f thermdynamics addresses the issue f spntaneity and invlves a functin called entrpy (S): If a prcess is spntaneus, then Suniverse > 0 (2 nd Law!)

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

Beam Expander Basics: Not All Spots Are Created Equal

Beam Expander Basics: Not All Spots Are Created Equal EARNING UNERSTANING INTROUCING APPYING Beam Expander Basics: Nt All Spts Are Created Equal A P P I C A T I O N N O T E S BEAM EXPANERS A laser beam expander is designed t increase the diameter f a cllimated

More information

COASTAL ENGINEERING Chapter 2

COASTAL ENGINEERING Chapter 2 CASTAL ENGINEERING Chapter 2 GENERALIZED WAVE DIFFRACTIN DIAGRAMS J. W. Jhnsn Assciate Prfessr f Mechanical Engineering University f Califrnia Berkeley, Califrnia INTRDUCTIN Wave diffractin is the phenmenn

More information

Enhancing Performance of MLP/RBF Neural Classifiers via an Multivariate Data Distribution Scheme

Enhancing Performance of MLP/RBF Neural Classifiers via an Multivariate Data Distribution Scheme Enhancing Perfrmance f / Neural Classifiers via an Multivariate Data Distributin Scheme Halis Altun, Gökhan Gelen Nigde University, Electrical and Electrnics Engineering Department Nigde, Turkey haltun@nigde.edu.tr

More information

Lead/Lag Compensator Frequency Domain Properties and Design Methods

Lead/Lag Compensator Frequency Domain Properties and Design Methods Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin

More information

Modelling of NOLM Demultiplexers Employing Optical Soliton Control Pulse

Modelling of NOLM Demultiplexers Employing Optical Soliton Control Pulse Micwave and Optical Technlgy Letters, Vl. 1, N. 3, 1999. pp. 05-08 Mdelling f NOLM Demultiplexers Emplying Optical Slitn Cntrl Pulse Z. Ghassemly, C. Y. Cheung & A. K. Ray Electrnics Research Grup, Schl

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

Investigation of a Single-Point Nonlinearity Indicator in One-Dimensional Propagation. 2 Theory

Investigation of a Single-Point Nonlinearity Indicator in One-Dimensional Propagation. 2 Theory Investigatin f a Single-Pint Nnlinearity Indicatr in One-Dimensinal Prpagatin Lauren Falc, Kent Gee, Anthny Atchley, Victr Sparrw The Pennsylvania State University, Graduate Prgram in Acustics, University

More information

ECE 497 JS Lecture - 14 Projects: FDTD & LVDS

ECE 497 JS Lecture - 14 Projects: FDTD & LVDS ECE 497 JS Lecture - 14 Prjects: FDTD & LVDS Spring 2004 Jse E. Schutt-Aine Electrical & Cmputer Engineering University f Illinis jse@emlab.uiuc.edu 1 ECE 497 JS - Prjects All prjects shuld be accmpanied

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA Mdelling f Clck Behaviur Dn Percival Applied Physics Labratry University f Washingtn Seattle, Washingtn, USA verheads and paper fr talk available at http://faculty.washingtn.edu/dbp/talks.html 1 Overview

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

Electric Current and Resistance

Electric Current and Resistance Electric Current and Resistance Electric Current Electric current is the rate f flw f charge thrugh sme regin f space The SI unit f current is the ampere (A) 1 A = 1 C / s The symbl fr electric current

More information

Module 4: General Formulation of Electric Circuit Theory

Module 4: General Formulation of Electric Circuit Theory Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated

More information

Chapter 3: Cluster Analysis

Chapter 3: Cluster Analysis Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA

More information

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur Cdewrd Distributin fr Frequency Sensitive Cmpetitive Learning with One Dimensinal Input Data Aristides S. Galanpuls and Stanley C. Ahalt Department f Electrical Engineering The Ohi State University Abstract

More information

Surface and Contact Stress

Surface and Contact Stress Surface and Cntact Stress The cncept f the frce is fundamental t mechanics and many imprtant prblems can be cast in terms f frces nly, fr example the prblems cnsidered in Chapter. Hwever, mre sphisticated

More information

Supporting information

Supporting information Electrnic Supplementary Material (ESI) fr Physical Chemistry Chemical Physics This jurnal is The wner Scieties 01 ydrgen perxide electrchemistry n platinum: twards understanding the xygen reductin reactin

More information

Study Group Report: Plate-fin Heat Exchangers: AEA Technology

Study Group Report: Plate-fin Heat Exchangers: AEA Technology Study Grup Reprt: Plate-fin Heat Exchangers: AEA Technlgy The prblem under study cncerned the apparent discrepancy between a series f experiments using a plate fin heat exchanger and the classical thery

More information

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink American Jurnal f Engineering Research (AJER) 016 American Jurnal f Engineering Research (AJER) e-issn: 30-0847 p-issn : 30-0936 Vlume-5, Issue-, pp-9-36 www.ajer.rg Research Paper Open Access Design and

More information

3D FE Modeling Simulation of Cold Rotary Forging with Double Symmetry Rolls X. H. Han 1, a, L. Hua 1, b, Y. M. Zhao 1, c

3D FE Modeling Simulation of Cold Rotary Forging with Double Symmetry Rolls X. H. Han 1, a, L. Hua 1, b, Y. M. Zhao 1, c Materials Science Frum Online: 2009-08-31 ISSN: 1662-9752, Vls. 628-629, pp 623-628 di:10.4028/www.scientific.net/msf.628-629.623 2009 Trans Tech Publicatins, Switzerland 3D FE Mdeling Simulatin f Cld

More information

Fall 2013 Physics 172 Recitation 3 Momentum and Springs

Fall 2013 Physics 172 Recitation 3 Momentum and Springs Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.

More information

THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC TESTS OF ELECTRONIC ASSEMBLIES

THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC TESTS OF ELECTRONIC ASSEMBLIES PREFERRED RELIABILITY PAGE 1 OF 5 PRACTICES PRACTICE NO. PT-TE-1409 THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC Practice: Perfrm all thermal envirnmental tests n electrnic spaceflight hardware in a flight-like

More information

A Matrix Representation of Panel Data

A Matrix Representation of Panel Data web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins

More information

1 The limitations of Hartree Fock approximation

1 The limitations of Hartree Fock approximation Chapter: Pst-Hartree Fck Methds - I The limitatins f Hartree Fck apprximatin The n electrn single determinant Hartree Fck wave functin is the variatinal best amng all pssible n electrn single determinants

More information

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018 Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and

More information

Introduction to Smith Charts

Introduction to Smith Charts Intrductin t Smith Charts Dr. Russell P. Jedlicka Klipsch Schl f Electrical and Cmputer Engineering New Mexic State University as Cruces, NM 88003 September 2002 EE521 ecture 3 08/22/02 Smith Chart Summary

More information

Chapter 23 Electromagnetic Waves Lecture 14

Chapter 23 Electromagnetic Waves Lecture 14 Chapter 23 Electrmagnetic Waves Lecture 14 23.1 The Discvery f Electrmagnetic Waves 23.2 Prperties f Electrmagnetic Waves 23.3 Electrmagnetic Waves Carry Energy and Mmentum 23.4 Types f Electrmagnetic

More information

37 Maxwell s Equations

37 Maxwell s Equations 37 Maxwell s quatins In this chapter, the plan is t summarize much f what we knw abut electricity and magnetism in a manner similar t the way in which James Clerk Maxwell summarized what was knwn abut

More information

Checking the resolved resonance region in EXFOR database

Checking the resolved resonance region in EXFOR database Checking the reslved resnance regin in EXFOR database Gttfried Bertn Sciété de Calcul Mathématique (SCM) Oscar Cabells OECD/NEA Data Bank JEFF Meetings - Sessin JEFF Experiments Nvember 0-4, 017 Bulgne-Billancurt,

More information

SPH3U1 Lesson 06 Kinematics

SPH3U1 Lesson 06 Kinematics PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.

More information

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium Lecture 17: 11.07.05 Free Energy f Multi-phase Slutins at Equilibrium Tday: LAST TIME...2 FREE ENERGY DIAGRAMS OF MULTI-PHASE SOLUTIONS 1...3 The cmmn tangent cnstructin and the lever rule...3 Practical

More information

Fundamental Concepts in Structural Plasticity

Fundamental Concepts in Structural Plasticity Lecture Fundamental Cncepts in Structural Plasticit Prblem -: Stress ield cnditin Cnsider the plane stress ield cnditin in the principal crdinate sstem, a) Calculate the maximum difference between the

More information

ChE 471: LECTURE 4 Fall 2003

ChE 471: LECTURE 4 Fall 2003 ChE 47: LECTURE 4 Fall 003 IDEL RECTORS One f the key gals f chemical reactin engineering is t quantify the relatinship between prductin rate, reactr size, reactin kinetics and selected perating cnditins.

More information

(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f

(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f 1.0 Review f Electrmagnetic Field Thery Selected aspects f electrmagnetic thery are reviewed in this sectin, with emphasis n cncepts which are useful in understanding magnet design. Detailed, rigrus treatments

More information

February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA

February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA Mental Experiment regarding 1D randm walk Cnsider a cntainer f gas in thermal

More information

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory Teacher s guide CESAR Science Case The differential rtatin f the Sun and its Chrmsphere Material that is necessary during the labratry CESAR Astrnmical wrd list CESAR Bklet CESAR Frmula sheet CESAR Student

More information

11. DUAL NATURE OF RADIATION AND MATTER

11. DUAL NATURE OF RADIATION AND MATTER 11. DUAL NATURE OF RADIATION AND MATTER Very shrt answer and shrt answer questins 1. Define wrk functin f a metal? The minimum energy required fr an electrn t escape frm the metal surface is called the

More information

Kinetics of Particles. Chapter 3

Kinetics of Particles. Chapter 3 Kinetics f Particles Chapter 3 1 Kinetics f Particles It is the study f the relatins existing between the frces acting n bdy, the mass f the bdy, and the mtin f the bdy. It is the study f the relatin between

More information

Drought damaged area

Drought damaged area ESTIMATE OF THE AMOUNT OF GRAVEL CO~TENT IN THE SOIL BY A I R B O'RN EMS S D A T A Y. GOMI, H. YAMAMOTO, AND S. SATO ASIA AIR SURVEY CO., l d. KANAGAWA,JAPAN S.ISHIGURO HOKKAIDO TOKACHI UBPREFECTRAl OffICE

More information

Technical Bulletin. Generation Interconnection Procedures. Revisions to Cluster 4, Phase 1 Study Methodology

Technical Bulletin. Generation Interconnection Procedures. Revisions to Cluster 4, Phase 1 Study Methodology Technical Bulletin Generatin Intercnnectin Prcedures Revisins t Cluster 4, Phase 1 Study Methdlgy Release Date: Octber 20, 2011 (Finalizatin f the Draft Technical Bulletin released n September 19, 2011)

More information

POLARISATION VISUAL PHYSICS ONLINE. View video on polarisation of light

POLARISATION VISUAL PHYSICS ONLINE. View video on polarisation of light VISUAL PHYSICS ONLINE MODULE 7 NATURE OF LIGHT POLARISATION View vide n plarisatin f light While all the experimental evidence s far that supprts the wave nature f light, nne f it tells us whether light

More information

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION NUROP Chinese Pinyin T Chinese Character Cnversin NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION CHIA LI SHI 1 AND LUA KIM TENG 2 Schl f Cmputing, Natinal University f Singapre 3 Science

More information

Chaotic behavior of the piccolo

Chaotic behavior of the piccolo Buens Aires 5 t 9 September, 2016 Acustics fr the 21 st Century PROCEEDINGS f the 22 nd Internatinal Cngress n Acustics Numerical Cmputatin in Musical Acustics: Paper ICA2016-54 Chatic behavir f the piccl

More information

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.

More information

5 th grade Common Core Standards

5 th grade Common Core Standards 5 th grade Cmmn Cre Standards In Grade 5, instructinal time shuld fcus n three critical areas: (1) develping fluency with additin and subtractin f fractins, and develping understanding f the multiplicatin

More information

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential

More information

AP Statistics Notes Unit Two: The Normal Distributions

AP Statistics Notes Unit Two: The Normal Distributions AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).

More information

Application Of Mealy Machine And Recurrence Relations In Cryptography

Application Of Mealy Machine And Recurrence Relations In Cryptography Applicatin Of Mealy Machine And Recurrence Relatins In Cryptgraphy P. A. Jytirmie 1, A. Chandra Sekhar 2, S. Uma Devi 3 1 Department f Engineering Mathematics, Andhra University, Visakhapatnam, IDIA 2

More information

Progress In Electromagnetics Research M, Vol. 9, 9 20, 2009

Progress In Electromagnetics Research M, Vol. 9, 9 20, 2009 Prgress In Electrmagnetics Research M, Vl. 9, 9 20, 2009 WIDE-ANGLE REFLECTION WAVE POLARIZERS USING INHOMOGENEOUS PLANAR LAYERS M. Khalaj-Amirhsseini and S. M. J. Razavi Cllege f Electrical Engineering

More information

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student

More information

THE PARTITION OF ENERGY INTO WAVES AND CURRENTS

THE PARTITION OF ENERGY INTO WAVES AND CURRENTS THE PARTITION OF ENERGY INTO WAVES AND CURRENTS W. Perrie, C. Tang, Y. Hu and B.M. DeTracy Fisheries & Oceans Canada, Bedfrd Institute f Oceangraphy, Dartmuth, Nva Sctia, Canada 1. INTRODUCTION Ocean mdels

More information

Dispersion Ref Feynman Vol-I, Ch-31

Dispersion Ref Feynman Vol-I, Ch-31 Dispersin Ref Feynman Vl-I, Ch-31 n () = 1 + q N q /m 2 2 2 0 i ( b/m) We have learned that the index f refractin is nt just a simple number, but a quantity that varies with the frequency f the light.

More information

DEFENSE OCCUPATIONAL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE

DEFENSE OCCUPATIONAL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE DEFENSE OCCUPATIOL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE 20 JUNE 2017 V1.0 i TABLE OF CONTENTS 1 INTRODUCTION... 1 2 CONCEPT

More information

Figure 1a. A planar mechanism.

Figure 1a. A planar mechanism. ME 5 - Machine Design I Fall Semester 0 Name f Student Lab Sectin Number EXAM. OPEN BOOK AND CLOSED NOTES. Mnday, September rd, 0 Write n ne side nly f the paper prvided fr yur slutins. Where necessary,

More information

King Fahd University of Petroleum and Minerals. Electrical Engineering Department EE 420. Fiber Optics Communication.

King Fahd University of Petroleum and Minerals. Electrical Engineering Department EE 420. Fiber Optics Communication. King Fahd University f Petrleum and Minerals Electrical Engineering Department EE 420 Fiber Optics Cmmunicatin Labratry Manual July 2005 2 PREFACE This manual cntains ten labratry experiments t be perfrmed

More information

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y= Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents

More information

Chapter 3 Kinematics in Two Dimensions; Vectors

Chapter 3 Kinematics in Two Dimensions; Vectors Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards: MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use

More information

3. Design of Channels General Definition of some terms CHAPTER THREE

3. Design of Channels General Definition of some terms CHAPTER THREE CHAPTER THREE. Design f Channels.. General The success f the irrigatin system depends n the design f the netwrk f canals. The canals may be excavated thrugh the difference types f sils such as alluvial

More information

NGSS High School Physics Domain Model

NGSS High School Physics Domain Model NGSS High Schl Physics Dmain Mdel Mtin and Stability: Frces and Interactins HS-PS2-1: Students will be able t analyze data t supprt the claim that Newtn s secnd law f mtin describes the mathematical relatinship

More information

Professional Development. Implementing the NGSS: High School Physics

Professional Development. Implementing the NGSS: High School Physics Prfessinal Develpment Implementing the NGSS: High Schl Physics This is a dem. The 30-min vide webinar is available in the full PD. Get it here. Tday s Learning Objectives NGSS key cncepts why this is different

More information

Design and Analysis of Gas Turbine Blade by Potential Flow Approach

Design and Analysis of Gas Turbine Blade by Potential Flow Approach V. Vijaya kumar et al Int. Jurnal f Engineering Research and Applicatins RESEARCH ARTICLE OPEN ACCESS Design and Analysis f Gas Turbine Blade by Ptential Flw Apprach V. Vijaya Kumar 1, R. Lalitha Narayana

More information

Performance Bounds for Detect and Avoid Signal Sensing

Performance Bounds for Detect and Avoid Signal Sensing Perfrmance unds fr Detect and Avid Signal Sensing Sam Reisenfeld Real-ime Infrmatin etwrks, University f echnlgy, Sydney, radway, SW 007, Australia samr@uts.edu.au Abstract Detect and Avid (DAA) is a Cgnitive

More information

David HORN and Irit OPHER. School of Physics and Astronomy. Raymond and Beverly Sackler Faculty of Exact Sciences

David HORN and Irit OPHER. School of Physics and Astronomy. Raymond and Beverly Sackler Faculty of Exact Sciences Cmplex Dynamics f Neurnal Threshlds David HORN and Irit OPHER Schl f Physics and Astrnmy Raymnd and Beverly Sackler Faculty f Exact Sciences Tel Aviv University, Tel Aviv 69978, Israel hrn@neurn.tau.ac.il

More information

Numerical Simulation of the Thermal Resposne Test Within the Comsol Multiphysics Environment

Numerical Simulation of the Thermal Resposne Test Within the Comsol Multiphysics Environment Presented at the COMSOL Cnference 2008 Hannver University f Parma Department f Industrial Engineering Numerical Simulatin f the Thermal Respsne Test Within the Cmsl Multiphysics Envirnment Authr : C. Crradi,

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

Introduction to Spacetime Geometry

Introduction to Spacetime Geometry Intrductin t Spacetime Gemetry Let s start with a review f a basic feature f Euclidean gemetry, the Pythagrean therem. In a twdimensinal crdinate system we can relate the length f a line segment t the

More information

Chapter 4. Unsteady State Conduction

Chapter 4. Unsteady State Conduction Chapter 4 Unsteady State Cnductin Chapter 5 Steady State Cnductin Chee 318 1 4-1 Intrductin ransient Cnductin Many heat transfer prblems are time dependent Changes in perating cnditins in a system cause

More information

A Frequency-Based Find Algorithm in Mobile Wireless Computing Systems

A Frequency-Based Find Algorithm in Mobile Wireless Computing Systems A Frequency-Based Find Algrithm in Mbile Wireless Cmputing Systems Seung-yun Kim and Waleed W Smari Department f Electrical Cmputer Engineering University f Daytn 300 Cllege Park Daytn, OH USA 45469 Abstract

More information

A Quick Overview of the. Framework for K 12 Science Education

A Quick Overview of the. Framework for K 12 Science Education A Quick Overview f the NGSS EQuIP MODULE 1 Framewrk fr K 12 Science Educatin Mdule 1: A Quick Overview f the Framewrk fr K 12 Science Educatin This mdule prvides a brief backgrund n the Framewrk fr K-12

More information

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS 1 Influential bservatins are bservatins whse presence in the data can have a distrting effect n the parameter estimates and pssibly the entire analysis,

More information

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression 3.3.4 Prstate Cancer Data Example (Cntinued) 3.4 Shrinkage Methds 61 Table 3.3 shws the cefficients frm a number f different selectin and shrinkage methds. They are best-subset selectin using an all-subsets

More information

ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES

ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES Flavia Chira 1, Mihai Banica 1, Dinu Sticvici 1 1 Assc.Prf., PhD. Eng., Nrth University f Baia Mare, e-mail: Flavia.Chira@ubm.r

More information

OF SIMPLY SUPPORTED PLYWOOD PLATES UNDER COMBINED EDGEWISE BENDING AND COMPRESSION

OF SIMPLY SUPPORTED PLYWOOD PLATES UNDER COMBINED EDGEWISE BENDING AND COMPRESSION U. S. FOREST SERVICE RESEARCH PAPER FPL 50 DECEMBER U. S. DEPARTMENT OF AGRICULTURE FOREST SERVICE FOREST PRODUCTS LABORATORY OF SIMPLY SUPPORTED PLYWOOD PLATES UNDER COMBINED EDGEWISE BENDING AND COMPRESSION

More information

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical mdel fr micrarray data analysis David Rssell Department f Bistatistics M.D. Andersn Cancer Center, Hustn, TX 77030, USA rsselldavid@gmail.cm

More information

Kinematic transformation of mechanical behavior Neville Hogan

Kinematic transformation of mechanical behavior Neville Hogan inematic transfrmatin f mechanical behavir Neville Hgan Generalized crdinates are fundamental If we assume that a linkage may accurately be described as a cllectin f linked rigid bdies, their generalized

More information

and the Doppler frequency rate f R , can be related to the coefficients of this polynomial. The relationships are:

and the Doppler frequency rate f R , can be related to the coefficients of this polynomial. The relationships are: Algrithm fr Estimating R and R - (David Sandwell, SIO, August 4, 2006) Azimith cmpressin invlves the alignment f successive eches t be fcused n a pint target Let s be the slw time alng the satellite track

More information

7 TH GRADE MATH STANDARDS

7 TH GRADE MATH STANDARDS ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,

More information

Engineering Approach to Modelling Metal THz Structures

Engineering Approach to Modelling Metal THz Structures Terahertz Science and Technlgy, ISSN 1941-7411 Vl.4, N.1, March 11 Invited Paper ngineering Apprach t Mdelling Metal THz Structures Stepan Lucyszyn * and Yun Zhu Department f, Imperial Cllege Lndn, xhibitin

More information

Synchronous Motor V-Curves

Synchronous Motor V-Curves Synchrnus Mtr V-Curves 1 Synchrnus Mtr V-Curves Intrductin Synchrnus mtrs are used in applicatins such as textile mills where cnstant speed peratin is critical. Mst small synchrnus mtrs cntain squirrel

More information

FIELD QUALITY IN ACCELERATOR MAGNETS

FIELD QUALITY IN ACCELERATOR MAGNETS FIELD QUALITY IN ACCELERATOR MAGNETS S. Russenschuck CERN, 1211 Geneva 23, Switzerland Abstract The field quality in the supercnducting magnets is expressed in terms f the cefficients f the Furier series

More information