Validation of Geant4 Hadronic Physics

Size: px
Start display at page:

Download "Validation of Geant4 Hadronic Physics"

Transcription

1 Validatin f Geant4 Hadrnic Physics J. Beringer, G. Flger, F. Giantti, A. Ribn, J.P. Wellisch, CERN D. Barberis, M. Cervett, B. Osculati, Gena University and INFN Abstract Recent wrk n the validatin f Geant4 hadrnic physics is presented. The fcus is mainly n simple thin-target measurements, which allw a clean and detailed study f single hadrnic interactins. In particular, tw analyses are discussed: neutrn prductin duble-differential crss-sectins, and pixel tracker test beam. Index Terms Validatin, Geant4, Hadrnic. I. INTRODUCTION Hadrnic physics is ntriusly a very brad and difficult field, mainly because the underlying thery, Quantum Chrmdynamics (QCD), cannt prduce predictins fr bservables whse dminant energy range is utside the perturbative highenergy regime. The nly current viable apprach, in these cases, is t use different simplified mdels, whse apprximated validity is ften restricted t particular incident particles, target material types, and interactin energies. By using a prper set f these mdels it is ften pssible t cver different regins f interest. In Geant4 [] a large set f hadrnic mdels are available, and the user can chse and cmbine them accrding t her/his needs, in terms f applicatin, precisin, and cmputing time. T ease such chice, a certain number f educated guess Physics Lists, each being a cmplete and cnsistent cllectin f different mdels, are prvided accrding t use cases. The gal f this paper is t reprt abut tests f sme f these Physics Lists (LHEP, QGSC, QGSP, QGSP BIC, QGSP BERT: see [] fr mre infrmatin) using thin-target experimental data, which prvides cmplementary infrmatin with respect t the mre traditinal calrimeter test-beam data. In the latter case, in fact, the bservables are the cnvlutin f many cmplex prcesses and interactins, whereas in the frmer case ne can study single hadrnic interactins in a clean and simple envirnment. Bth kind f tests are f curse imprtant, but we fcus here nly n thin-target validatin, and in particular n tw recent analyses. We will treat first the test f Geant4 against pixel tracker test-beam data. Then, we will cmpare Geant4 predictins with experimental neutrn duble-differential crss-sectin measurements at sme fixed angles, fr different incident prtn beam energies and target materials. See fr example [3] fr ther Geant4 validatin tests. II. PIXEL TEST-BEAM DATA A test-beam with 80GeV/c psitive pins n silicn sensrs f the ATLAS Pixel tracker detectr has been made at CERN Fig.. Pixel test-beam setup. Fig.. Pixel detectr: frm left t right, plastic cver (3mm thick), silicn sensr (80µm thick), frnt end read-ut chip (50µm thick), printed circuit bard (mm thick). in 00 [4]. The setup is presented in Fig.. It cnsists f a telescpe f fur micrstrip planes (each duble sided), tw pixel detectr planes (t test tw different chips), and a scintillatr cunter. The pixel detectrs have 50µm pitch in ne dimensin, 400µm in the ther, and thickness f 80µm. Fig. shws a single pixel detectr in detail, and an example f a simulated hadrnic interactin happening in the sensr (as fr the events we wuld like t select in rder t study these interactins). In a run dedicated t the study f hadrnic interactins, the trigger required an energy depsitin in the scintillatr crrespnding t at least three minimum-inising particles. A ttal f abut interactin events were cllected. Only thse events in which at least three clusters have been recnstructed in each f the three dwnstream micrstrip planes (in bth sides) are further cnsidered in the analysis. Befre analysing the real data, a precise alignment f the telescpe planes was perfrmed using tw beam trigger runs, taken just befre and just after the interactin trigger run. Furthermre,

2 the pixel detectrs were individually calibrated, i.e. the energy depsited (in terms f the number f electrn-hle pairs that have been created) was evaluated frm the Time-ver-Threshld read-ut, using pulse injectin and radiactive surces. It is imprtant t nte that this calibratin prcedure invlves energy releases equivalent t minimum-inising particle, whereas in the case f hadrnic interactins happening in the pixel detectrs, the energy depsited can be equivalent t several hundred minimum-inising particles. Therefre, in studying hadrnic interactins we have t extraplate the calibratin int a regin far away frm where it has been measured, and this implies that the abslute energy can be determined nly with sme uncertainty: therefre nly bservables nt directly dependent n the abslute energy shuld be cnsidered when cmparing with simulatin results. The analysis prcedure cnsists f fur steps. First, tracks are recnstructed in the three micrstrip planes dwnstream f the pixel planes. Secnd, the interactin vertex is recnstructed; a better vertex reslutin is bserved in the case that the interactin happens in the secnd pixel plane (because f the larger gemetrical acceptance, limited by the last dwnstream micrstrip plane), therefre nly interactins in this plane are further cnsidered (the reasn is explained in the next step). Third, the cluster clsest in the transverse plane t the interactin is selected, and it is further cnsidered nly if it satisfies tw requirements aimed t select nly thse interactins which happen in the pixel sensr, rather than in the plastic cver r the read-ut chip r the printed circuit bard (see Fig.). A pixel cluster is defined as a cntiguus set f pixels whse signal is abve a given threshld. The first requirement is that the recnstructed vertex is clse enugh t the center f the pixel sensr, taking int accunt the vertex reslutin in the beam directin. The secnd requirement is a large energy depsitin in the pixel detectr, because fr a nuclear interactin in the sensr we expect a large lcal energy depsit frm heavy nuclear fragments f very shrt range. Furth, the cluster prperties f such selected interactin clusters are finally cnsidered. Because f the calibratin uncertainty, the fllwing bservables, which shuld nt be directly affected by it, have been selected. The number f recnstructed tracks is shwn in Fig.3 tgether with simulatin results btained with different Geant4 Physics Lists. The agreement is quite gd fr all cnsidered Physics Lists; this is the mst imprtant bservable fr the purpse f a Tracker simulatin, as these recnstructed tracks are the nly visible effect utside the pixel detectr in which they have been prduced. The rati f the maximum energy in a single pixel f the cluster assciated t the interactin vertex and the ttal energy f that cluster is shwn in Fig.4. In the case f the QGSP Physics Lists the agreement with data is excellent. This bservable is sensitive t the prductin f heavy nuclear fragments and their energies. The cluster size, i.e. the number f pixels in the cluster ass- Fig. 3. Number f recnstructed tracks. Fig. 4. Maximum energy in a single pixel f the cluster divided by the ttal cluster energy. Fig. 5. Number f pixels in the cluster (cluster size).

3 ciated t the interactin vertex is shwn in Fig.5. In this case, QGSP predicts narrwer clusters with respect t the real data. This bservable is sensitive t the verall range distributin f the nuclear fragments prduced in the hadrnic interactins. In the simulatin the prper beam cmpsitin has been taken int accunt: althugh the beam is nminally f π +, the actual beam cmpsitin is 67% p, 9% π + and 4% K +. Mmentum spread arund the nminal 80GeV/c is instead negligible. The beam gemetrical divergency is als taken int accunt in the simulatin. The cnclusins we can draw frm these cmparisns between data and simulatin, under the reasnable assumptin that the calibratin uncertainty des nt affect much the bservables we have cnsidered, are the fllwing. The thery-driven Physics Lists describe the data better than the parametrized ne. The best agreement with data is fr QGSP. Hwever, this Physics List has a prblem in describing the cluster shape. A pssible explanatin f this discrepancy, currently under investigatin, is related t the range f prtns in silicn: 0µm fr 3MeV kinetic energy; mm fr MeV ; cm fr 45MeV. S, if the QGSP prtn spectrum is nly slightly sfter than the real ne, then the cluster shape culd be significantly narrwer, given the size f a pixel, while the energy flw can still match well the data, withut nticeable discrepancies. Sme imprvements in the Binary Cascade mdel, under develpment, culd harden the prtn spectrum and prvide a better agreement with the data. III. NEUTRON PRODUCTION CROSS-SECTIONS Neutrn prductin frm prtn bmbardment, and in particular (p, xn) duble-differential crss-sectin measurements, d σ/dωde n, i.e. neutrn spectrum at fixed angles, are an imprtant benchmark fr the validatin f hadrnic mdels. Here we cnsider measurements made at Ls Alams Mesn Physics Facility (LAMPF), fr prtn beam energies f 3, 56, 597, and 800 MeV, and fr angles f , 60, 0 and 50 [6]. The setup is shwn schematically in Fig.6. The prtn beam is made f macrpulses at rates up t 60Hz, and each macrpulse is made f abut 70 micrpulses, each cntaining 3 8 prtns in a burst < 00ps lng; the spacing between micrpulses is µs, adequate t accmmdate the time f flight fr the slwest neutrns we are interested in (50keV ) ver the lngest path available (60m). The targets were thin (less than 3.5 MeV thick fr the incident prtn energies), giving interactins per incident prtn. Different target materials have been cnsidered: beryllium, carbn, aluminum, irn, tungsten, lead. Fr neutrn detectin plastic scintillatrs were used, and Time-Of-Flight technique was emplyed t measure the neutrn energy, where the start signal (time-zer) was prvided by an inductive beam pickff, and the stp signal was generated by the arrival f the neutrn at the plastic scintillatr. The distances f the neutrn detectrs frm the target range between 3 60 m. 50 Detectr 0 Beam (prtn) Target (Al, Fe, Pb) 60 < Fig. 6. Setup f the neutrn prductin (p, xn) measurements at Ls Alams Mesn Physics Facility (LAMPF). Lw-energy charged particles frm the target were swept ut f the flight paths by magnets, and the remaining charged particles were rejected by vet scintillatrs. The intense gamma flash generated by the beam burst was reduced using uranium filters. The remaining gamma backgrund is estimated using a cmbinatin f different detectr threshlds and massive irn shadw-bars. The latter allw als t crrect fr inscattering neutrns, whereas the backgrund f neutrns prduced in prtn-air cllisins is estimated frm the data withut target and then subtracted. Finally, csmic rays and time-independent surces are estimated frm the average f the TDC channels befre the prmpt phtns. As an example, in Fig.7 the experimentally measured neutrn prductin Fe(p,xn) duble-differential crss-sectin at an angle f 30 fr 56 MeV incident prtns is cmpared t preliminary results btained with Geant4 using different Physics Lists (LHEP, QGSP BERT, QGSP BIC), and t the results btained with Fluka [5] simulatin package. Figures 8, 9, and shw the ratis between the simulatin results and the experimental data fr the different Physics Lists and simulatin packages. Numerical values fr the experimental crss sectins were taken frm the EXFOR database [7]. The errr bars in the figures include bth the experimental statistical and systematic errrs, and a small statistical errr frm the simulatin. Except fr the high end f the neutrn spectrum, all errrs are dminated by the systematic uncertainty frm the neutrn detectr efficiency, which is given as 5 % t 0 % in [6], depending n the neutrn energy. Since the energy dependence f this systematic errr is nt available frm the EXFOR database and culd nt easily be determined therwise fr all cases, a cnservative energyindependent errr f 0 % was used fr the cntributin f the uncertainty in the neutrn detectr efficiency t the systematic errr. In the present wrk we have cmpared simulated neutrn prductin crss-sectins t the measurements [6]. Other, independent measurements are available, fr example [8], [9]. The level f agreement amng these independent measurements is

4 (b/sr/mev) Fe(p,xn) Prductin Crss Sectin at 56MeV, 30deg - PRELIMINARY Rati Simulatin / Data fr. Fe(p,xn) Prductin Crss Sectin Rati at 56MeV, 30deg - PRELIMINARY G4: QGSP_BIC -5-6 G4: QGSP_BERT G4: QGSP_BIC G4: LHEP FLUKA Ls Alams data Neutrn Energy (MeV) Neutrn Energy (MeV) Fig.. Rati QGSP BIC simulatin / data, fr the data shwn in Fig.7 Fig. 7. Simulatin and experimental neutrn prductin duble-differential crss-sectin with 56MeV prtn beam n Irn target at 30. Rati Simulatin / Data fr. Fe(p,xn) Prductin Crss Sectin Rati at 56MeV, 30deg - PRELIMINARY FLUKA Neutrn Energy (MeV) currently being studied. Frm the cmparisn f the simulatin results with the experimental data in [6] we arrive at the fllwing preliminary cnclusins. While the LHEP Physics List is clearly nt suitable fr the simulatin f (p,xn) duble-differential crss-sectins, Fluka and the QGSP BERT and QGSP BIC Physics Lists d all reprduce the duble-differential crss-sectin data measured by Ls Alams at the level f 0 % t 50 %. IV. CONCLUSION We have presented tw validatin tests fr Geant4 Hadrnic Physics. The parametrized Geant4 Physics List, LHEP, is nt able t reprduce sme f the bservables. In general the QGSP Physics List, r at least its variants with Internuclear Cascade mdels, QGSP BERT and QGSP BIC, seems t describe mst bservables reasnably well, even nn-trivial micrscpic nes, like energy-angular crrelatins. Fig. 8. Rati Fluka simulatin / data, fr the data shwn in Fig.7 ACKNOWLEDGMENT The authrs wuld like t thank A. Ferrari and P. Sala fr useful suggestins and help in the use f Fluka. Rati Simulatin / Data fr Fig. 9.. Fe(p,xn) Prductin Crss Sectin Rati at 56MeV, 30deg - PRELIMINARY G4: QGSP_BERT Neutrn Energy (MeV) Rati QGSP BERT simulatin / data, fr the data shwn in Fig.7 REFERENCES [] S. Agstinelli et al, Geant4 Cllabratin, Nuclear Instruments and Methds in Physics Research, A 506 (003) 50. See als the Geant4 web page: [] J. P. Wellisch, Physics f shwer simulatin at LHC, at the example f Geant4, Prceedings f Internatinal Eurphysics Cnference n High Energy Physics 003, Aachen. A. Heikkinen, N. Stepanv and J. P. Wellisch, Bertini intra-nuclear cascade implementatin in Geant4, Prceedings f Cmputing in High energy physics 003, De Jlla. G. Flger and J. P. Wellisch, String partn mdels in Geant4, Prceedings f Cmputing in High energy physics 003, De Jlla. J. P. Wellisch, Hadrnic Shwer Mdels In Geant4 - The Framewrks, Cmput. Phys. Cmmun. 40, 65 (00). V. Lara and J. P. Wellisch, Preequilibrium and equilibrium decays in Geant4, CHEP 000: Cmputing in high energy and nuclear physics, H.P. Wellisch, D. Axen, Phys. Rev. C 54, 39 (996). J. P. Wellisch, Hadrnic Shwer Simulatin With Geant4, Tucsn 997, Calrimetry in high energy physics, 5-59.

5 [3] J. P. Wellisch, V. Ivanchenk, G. Flger, T. Ki and D. H. Wright, The Geant4 hadrnic verificatin suite fr the cascade energy range, Prceedings f Cmputing in High energy physics 003, De Jlla. J. P. Wellisch, Geant4 hadrnic physics status and validatin fr large HEP detectrs, Prceedings f Cmputing in High energy physics 003, De Jlla. J. P. Wellisch, Geant4 Physics Validatin Fr Large HEP Detectrs, Nucl. Instrum. Meth. A 50 (003) 669. [4] T.Lari et al, Test beam results f ATLAS Pixel Sensrs, Prceedings f PIXEL 00, Internatinal Wrkshp n Semicnductr Pixel Detectrs fr Particles and X-Rays, Carmel, Califrnia, 9- Sep 00. e-print Archive: hep-ex/0045 [5] A. Fassò, A. Ferrari, J. Ranft, P. Sala, Prceedings f the MnteCarl 000 Cnference, Lisbn, Octber 000, Springer-Verlag (00), 59-64, See als the Fluka web page: [6] M.M. Meier et al., Nuclear Science and Engineering: (989) 3, M.M. Meier et al., Nuclear Science and Engineering: (99) 89, W.B. Amian et al., Nuclear Science and Engineering: (99) 78, W.B. Amian et al., Nuclear Science and Engineering: 5 (993). [7] EXFOR Experimental Nuclear Reactin Data Retrievals, [8] S. Stamer et al, Physical Review C, 47 (993) 647. [9] X. Ledux, et al, Physical Review Letters, 8 (999) 44.

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

ABSORPTION OF GAMMA RAYS

ABSORPTION OF GAMMA RAYS 6 Sep 11 Gamma.1 ABSORPTIO OF GAMMA RAYS Gamma rays is the name given t high energy electrmagnetic radiatin riginating frm nuclear energy level transitins. (Typical wavelength, frequency, and energy ranges

More information

arxiv:hep-ph/ v1 2 Jun 1995

arxiv:hep-ph/ v1 2 Jun 1995 WIS-95//May-PH The rati F n /F p frm the analysis f data using a new scaling variable S. A. Gurvitz arxiv:hep-ph/95063v1 Jun 1995 Department f Particle Physics, Weizmann Institute f Science, Rehvt 76100,

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

~Alamos LA-UR- Development of a Neutron POD Spectrometer. Sy Stange, Douglas Mayo, Rollin Lakis, and M. William Johnson

~Alamos LA-UR- Development of a Neutron POD Spectrometer. Sy Stange, Douglas Mayo, Rollin Lakis, and M. William Johnson LA-UR- Apprved fr public release; distributin is unlimited. Title: Develpment f a Neutrn POD Spectrmeter Authr(s): Sy Stange, Duglas May, Rllin Lakis, and M. William Jhnsn Intended fr: Institute f Nuclear

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

Kinetic Model Completeness

Kinetic Model Completeness 5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins

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

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

Implementation of INCL cascade and ABLA evaporation codes in Geant4

Implementation of INCL cascade and ABLA evaporation codes in Geant4 Jurnal f Physics: Cnference Series Implementatin f INCL cascade and ABLA evapratin cdes in Geant4 T cite this article: A Heikkinen et al 2008 J. Phys.: Cnf. Ser. 119 032024 View the article nline fr updates

More information

Therefore the atomic diameter is 5 orders of magnitude ( times) greater than the m

Therefore the atomic diameter is 5 orders of magnitude ( times) greater than the m Orders f Magnitude Pwers f 10 are referred t as rders f magnitude e.g. smething a thusand times larger (10 3 ) is three rders f magnitude bigger. A prtn has a diameter f the rder ~10-15 m The diameter

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

Lab 1 The Scientific Method

Lab 1 The Scientific Method INTRODUCTION The fllwing labratry exercise is designed t give yu, the student, an pprtunity t explre unknwn systems, r universes, and hypthesize pssible rules which may gvern the behavir within them. Scientific

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

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

Math Foundations 20 Work Plan

Math Foundations 20 Work Plan Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant

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

Resampling Methods. Chapter 5. Chapter 5 1 / 52

Resampling Methods. Chapter 5. Chapter 5 1 / 52 Resampling Methds Chapter 5 Chapter 5 1 / 52 1 51 Validatin set apprach 2 52 Crss validatin 3 53 Btstrap Chapter 5 2 / 52 Abut Resampling An imprtant statistical tl Pretending the data as ppulatin and

More information

THERMAL TEST LEVELS & DURATIONS

THERMAL TEST LEVELS & DURATIONS PREFERRED RELIABILITY PAGE 1 OF 7 PRACTICES PRACTICE NO. PT-TE-144 Practice: 1 Perfrm thermal dwell test n prtflight hardware ver the temperature range f +75 C/-2 C (applied at the thermal cntrl/munting

More information

FT- cal reconstruction: energy corrections

FT- cal reconstruction: energy corrections FT- cal recnstructin: energy crrectins Lucilla Lanza, Ph. D. student Advisr: prf. Annalisa D Angel University f Rme, Tr Vergata INFN 3 Octber 15 Outline Optimizatin the FT- Cal cluster recnstructin algrithm

More information

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 6. An electrchemical cell is cnstructed with an pen switch, as shwn in the diagram abve. A strip f Sn and a strip f an unknwn metal, X, are used as electrdes.

More information

APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL

APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL JP2.11 APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL Xingang Fan * and Jeffrey S. Tilley University f Alaska Fairbanks, Fairbanks,

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

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

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd NAME: DUE DATE: JULY 2 nd AP Chemistry SUMMER REV: Half-Life Why? Every radiistpe has a characteristic rate f decay measured by its half-life. Half-lives can be as shrt as a fractin f a secnd r as lng

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

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

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

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

Lab #3: Pendulum Period and Proportionalities

Lab #3: Pendulum Period and Proportionalities Physics 144 Chwdary Hw Things Wrk Spring 2006 Name: Partners Name(s): Intrductin Lab #3: Pendulum Perid and Prprtinalities Smetimes, it is useful t knw the dependence f ne quantity n anther, like hw the

More information

Cells though to send feedback signals from the medulla back to the lamina o L: Lamina Monopolar cells

Cells though to send feedback signals from the medulla back to the lamina o L: Lamina Monopolar cells Classificatin Rules (and Exceptins) Name: Cell type fllwed by either a clumn ID (determined by the visual lcatin f the cell) r a numeric identifier t separate ut different examples f a given cell type

More information

BASD HIGH SCHOOL FORMAL LAB REPORT

BASD HIGH SCHOOL FORMAL LAB REPORT BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used

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

1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp

1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp THE POWER AND LIMIT OF NEURAL NETWORKS T. Y. Lin Department f Mathematics and Cmputer Science San Jse State University San Jse, Califrnia 959-003 tylin@cs.ssu.edu and Bereley Initiative in Sft Cmputing*

More information

RN52-STK2 Starter Kit

RN52-STK2 Starter Kit The RN52-STK2 Starter Kit has everything yu need t kick-start yur prject and is a great tl fr develpers: Prf f cncept prttypes as well as final cmmercial slutins. fr educatinal use: Natural sciences curses

More information

Particle Size Distributions from SANS Data Using the Maximum Entropy Method. By J. A. POTTON, G. J. DANIELL AND B. D. RAINFORD

Particle Size Distributions from SANS Data Using the Maximum Entropy Method. By J. A. POTTON, G. J. DANIELL AND B. D. RAINFORD 3 J. Appl. Cryst. (1988). 21,3-8 Particle Size Distributins frm SANS Data Using the Maximum Entrpy Methd By J. A. PTTN, G. J. DANIELL AND B. D. RAINFRD Physics Department, The University, Suthamptn S9

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

INFORMATION CONCERNING NEUTRINO CONFIGURATIONS AND FLUX: CONSEQUENCES FOR NEUTRINO-PHYSICS EXPERIMENTS

INFORMATION CONCERNING NEUTRINO CONFIGURATIONS AND FLUX: CONSEQUENCES FOR NEUTRINO-PHYSICS EXPERIMENTS -1- SS -18 0 2251 INFORMATION CONCERNING NEUTRINO CONFIGURATIONS AND FLUX: CONSEQUENCES FOR NEUTRINO-PHYSICS EXPERIMENTS R. A. Burnstein Illinis Institute f Technlgy ABSTRACT The current neutrin -physics

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

Hypothesis Tests for One Population Mean

Hypothesis Tests for One Population Mean Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

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

Proceedings of the Twelfth International Conference on Cyclotrons and their Applications, Berlin, Germany

Proceedings of the Twelfth International Conference on Cyclotrons and their Applications, Berlin, Germany PRODUCTON OF 7Be FROM A HEAVY ON CYCLOTRON: A NEW TOOL FOR WEAR STUDES* M. L. Mallry, R.M. Rnningen, Wm. C. McHarris & B. Sherrill Natinal Supercnducting Cycltrn Labratry, Michigan State University, East

More information

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions.

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions. BASD High Schl Frmal Lab Reprt GENERAL INFORMATION 12 pt Times New Rman fnt Duble-spaced, if required by yur teacher 1 inch margins n all sides (tp, bttm, left, and right) Always write in third persn (avid

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

, 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

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

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

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison Jurnal f Physics: Cnference Series OPEN ACCESS Aerdynamic Separability in Tip Speed Rati and Separability in Wind Speed- a Cmparisn T cite this article: M L Gala Sants et al 14 J. Phys.: Cnf. Ser. 555

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

Eric Klein and Ning Sa

Eric Klein and Ning Sa Week 12. Statistical Appraches t Netwrks: p1 and p* Wasserman and Faust Chapter 15: Statistical Analysis f Single Relatinal Netwrks There are fur tasks in psitinal analysis: 1) Define Equivalence 2) Measure

More information

Writing Guidelines. (Updated: November 25, 2009) Forwards

Writing Guidelines. (Updated: November 25, 2009) Forwards Writing Guidelines (Updated: Nvember 25, 2009) Frwards I have fund in my review f the manuscripts frm ur students and research assciates, as well as thse submitted t varius jurnals by thers that the majr

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

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes Chemistry 20 Lessn 11 Electrnegativity, Plarity and Shapes In ur previus wrk we learned why atms frm cvalent bnds and hw t draw the resulting rganizatin f atms. In this lessn we will learn (a) hw the cmbinatin

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

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

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

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

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

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

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

22.54 Neutron Interactions and Applications (Spring 2004) Chapter 11 (3/11/04) Neutron Diffusion

22.54 Neutron Interactions and Applications (Spring 2004) Chapter 11 (3/11/04) Neutron Diffusion .54 Neutrn Interactins and Applicatins (Spring 004) Chapter (3//04) Neutrn Diffusin References -- J. R. Lamarsh, Intrductin t Nuclear Reactr Thery (Addisn-Wesley, Reading, 966) T study neutrn diffusin

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0

More information

d sinθ = mλ Interference and diffraction double slit or diffraction grating d sinθ = mλ d sinθ is the path difference x (small angle approximation)

d sinθ = mλ Interference and diffraction double slit or diffraction grating d sinθ = mλ d sinθ is the path difference x (small angle approximation) Wave Optics Wave prperties f light The clrs in a rainbw are ROY G. BIV (Red, range, yellw, green, blue, indig, vilet). White light is a cmbinatin f all clrs Black is the absence f light Wavelength determines

More information

Pipetting 101 Developed by BSU CityLab

Pipetting 101 Developed by BSU CityLab Discver the Micrbes Within: The Wlbachia Prject Pipetting 101 Develped by BSU CityLab Clr Cmparisns Pipetting Exercise #1 STUDENT OBJECTIVES Students will be able t: Chse the crrect size micrpipette fr

More information

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu

More information

Relationships Between Frequency, Capacitance, Inductance and Reactance.

Relationships Between Frequency, Capacitance, Inductance and Reactance. P Physics Relatinships between f,, and. Relatinships Between Frequency, apacitance, nductance and Reactance. Purpse: T experimentally verify the relatinships between f, and. The data cllected will lead

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 2010 Motion with Constant Acceleration Experiment 1 . Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin

More information

Application of ILIUM to the estimation of the T eff [Fe/H] pair from BP/RP

Application of ILIUM to the estimation of the T eff [Fe/H] pair from BP/RP Applicatin f ILIUM t the estimatin f the T eff [Fe/H] pair frm BP/RP prepared by: apprved by: reference: issue: 1 revisin: 1 date: 2009-02-10 status: Issued Cryn A.L. Bailer-Jnes Max Planck Institute fr

More information

Name: Period: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY

Name: Period: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY Name: Perid: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY Directins: This packet will serve as yur ntes fr this chapter. Fllw alng with the PwerPint presentatin and fill in the missing infrmatin. Imprtant

More information

AQA GCSE Physics. Topic 4: Atomic Structure. Notes. (Content in bold is for Higher Tier only)

AQA GCSE Physics. Topic 4: Atomic Structure. Notes. (Content in bold is for Higher Tier only) AQA GCSE Physics Tpic 4: Atmic Structure Ntes (Cntent in bld is fr Higher Tier nly) Atmic Structure Psitively charged nucleus (which cntains neutrns and prtns) surrunded by negatively charged electrns.

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

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

J. C. Sprott OHMIC HEATING RATE IN A TOROIDAL OCTUPOLE. August 1975 PLP 643. Plasma Studies. University of Wisconsin

J. C. Sprott OHMIC HEATING RATE IN A TOROIDAL OCTUPOLE. August 1975 PLP 643. Plasma Studies. University of Wisconsin OHMC HEATNG RATE N A TORODAL OCTUPOLE J. C. Sprtt August 1975 PLP 643 Plasma Studies University f Wiscnsin These PLP Reprts are infrmal and preliminary and as such may cntain errrs nt yet eliminated. Tbey

More information

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10] EECS 270, Winter 2017, Lecture 3 Page 1 f 6 Medium Scale Integrated (MSI) devices [Sectins 2.9 and 2.10] As we ve seen, it s smetimes nt reasnable t d all the design wrk at the gate-level smetimes we just

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

Comprehensive Exam Guidelines Department of Chemical and Biomolecular Engineering, Ohio University

Comprehensive Exam Guidelines Department of Chemical and Biomolecular Engineering, Ohio University Cmprehensive Exam Guidelines Department f Chemical and Bimlecular Engineering, Ohi University Purpse In the Cmprehensive Exam, the student prepares an ral and a written research prpsal. The Cmprehensive

More information

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive

More information

Lecture 23: Lattice Models of Materials; Modeling Polymer Solutions

Lecture 23: Lattice Models of Materials; Modeling Polymer Solutions Lecture 23: 12.05.05 Lattice Mdels f Materials; Mdeling Plymer Slutins Tday: LAST TIME...2 The Bltzmann Factr and Partitin Functin: systems at cnstant temperature...2 A better mdel: The Debye slid...3

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

Dr M. BROUARD. 5. Thermodynamic formulation of Transition State Theory Entropy of activation. Thermochemical kinetics. CHEMICAL REACTION RATES

Dr M. BROUARD. 5. Thermodynamic formulation of Transition State Theory Entropy of activation. Thermochemical kinetics. CHEMICAL REACTION RATES CHEMICAL REACTION RATES Dr M. BROUARD Trinity Term 2003 A. Bimlecular Reactins 5 Lectures 1. Intrductin Simple cllisin thery. Ptential energy curves and surfaces. The reactin crdinate and barriers t reactin.

More information

Biplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint

Biplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint Biplts in Practice MICHAEL GREENACRE Prfessr f Statistics at the Pmpeu Fabra University Chapter 13 Offprint CASE STUDY BIOMEDICINE Cmparing Cancer Types Accrding t Gene Epressin Arrays First published:

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department

More information

1($ [ [ W FP : 7DUJHW [[ FP ,QKLELW ,QKLELW 6&$/(5 &2,1 &2,1 )$1,1 &2,1 5(* $'& )DVW $'&7RWDO &RQVWDQW )UDFWLRQ 'LVFULPLQDWRU &RLQFLGHQFH '/<

1($ [ [ W FP : 7DUJHW [[ FP ,QKLELW ,QKLELW 6&$/(5 &2,1 &2,1 )$1,1 &2,1 5(* $'& )DVW $'&7RWDO &RQVWDQW )UDFWLRQ 'LVFULPLQDWRU &RLQFLGHQFH '/< Measurements f Neutrn Spectra Prduced frm a Thick Tungsten Target Bmbarded with 1.1 and 2. GeV/c Prtns and + Mesns Shin-ichir Meig y, Hirshi Takada, Nbuhir Shigy, Kiminri Iga,Yusuke Iwamt, Hirhik Kitsuki,

More information

THE FLUXOID QUANTUM AND ELECTROGRAVITATIONAL DYNAMICS. Chapter 8. This work extends chapter 6 titled, "Field Mass Generation and Control", while

THE FLUXOID QUANTUM AND ELECTROGRAVITATIONAL DYNAMICS. Chapter 8. This work extends chapter 6 titled, Field Mass Generation and Control, while 133 THE FLUXOID QUANTUM AND ELECTROGRAVITATIONAL DYNAMICS Chapter 8 This wrk extends chapter 6 titled, "Field Mass Generatin and Cntrl", while als develping a new cnceptual apprach t mass-field vehicle

More information

lecture 5: Nucleophilic Substitution Reactions

lecture 5: Nucleophilic Substitution Reactions lecture 5: Nuclephilic Substitutin Reactins Substitutin unimlecular (SN1): substitutin nuclephilic, unimlecular. It is first rder. The rate is dependent upn ne mlecule, that is the substrate, t frm the

More information

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975 OTHER USES OF THE ICRH COUPL ING CO IL J. C. Sprtt Nvember 1975 -I,," PLP 663 Plasma Studies University f Wiscnsin These PLP Reprts are infrmal and preliminary and as such may cntain errrs nt yet eliminated.

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

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB.

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB. Intelligent Pharma- Chemical and Oil & Gas Divisin Page 1 f 7 Intelligent Pharma Chemical and Oil & Gas Divisin Glbal Business Centre. 120 8 Ave SE, Calgary, AB T2G 0K6, AB. Canada Dr. Edelsys Cdrniu-Business

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

Matter Content from State Frameworks and Other State Documents

Matter Content from State Frameworks and Other State Documents Atms and Mlecules Mlecules are made f smaller entities (atms) which are bnded tgether. Therefre mlecules are divisible. Miscnceptin: Element and atm are synnyms. Prper cnceptin: Elements are atms with

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

Pattern Recognition 2014 Support Vector Machines

Pattern Recognition 2014 Support Vector Machines Pattern Recgnitin 2014 Supprt Vectr Machines Ad Feelders Universiteit Utrecht Ad Feelders ( Universiteit Utrecht ) Pattern Recgnitin 1 / 55 Overview 1 Separable Case 2 Kernel Functins 3 Allwing Errrs (Sft

More information

Document for ENES5 meeting

Document for ENES5 meeting HARMONISATION OF EXPOSURE SCENARIO SHORT TITLES Dcument fr ENES5 meeting Paper jintly prepared by ECHA Cefic DUCC ESCOM ES Shrt Titles Grup 13 Nvember 2013 OBJECTIVES FOR ENES5 The bjective f this dcument

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

Hubble s Law PHYS 1301

Hubble s Law PHYS 1301 1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and

More information

Differential Cross Sections for Elastic Scattering of Protons and Helions from Light Nuclei

Differential Cross Sections for Elastic Scattering of Protons and Helions from Light Nuclei Differential Crss Sectins fr Elastic Scattering f Prtns and Helins frm Light Nuclei A.F. Gurbich Institute f Physics and Pwer Engineering, Obninsk, Russian Federatin Lectures given at the Wrkshp n Nuclear

More information

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment Science 10: The Great Geyser Experiment A cntrlled experiment Yu will prduce a GEYSER by drpping Ments int a bttle f diet pp Sme questins t think abut are: What are yu ging t test? What are yu ging t measure?

More information

The ultra-high energy cosmic rays image of Virgo A

The ultra-high energy cosmic rays image of Virgo A The ultra-high energy csmic rays image f Virg A Radmír Šmída Karlsruhe Institute f Technlgy, Germany E-mail: radmir.smida@kit.edu Ralph Engel Karlsruhe Institute f Technlgy, Germany Arrival directins f

More information