1 phy 3903 version 2003 gary w. slater 31.oct.2003 [email protected] 613-562-5800 x6775 mcd...
TRANSCRIPT
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Writing = 40%– your topic = 5%– PRL format = 20%– seminar = 15%
Physique = 10%– Biographies=3%– Abstract=3%– scholarship$=4%
%%%%%%Approx.%%%%%%
Maple = 50%– 6 weeks– 5 assignments– 1 longer
problem/project– Assigments minus
worst one above 50% = 40%
– projet = 10%
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Schedule October 3
Non-Maple 3Maple 3
October 10Maple 4
October 17UofO open house
October 24– Absent
October 31Non-MapleMaple 5
November 7Maple6=finNon-Maple=fin
November 14, 21, 28Séminaires!!!!!
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Séminaires Seminar: 8+2 min + 3 min Q
transparencies -or-PowerPoint
Will take place in the last 3 weeks of the semester
• 14, 21, 28 novembre
Le département sera invité Vous devez préparer le texte de 4 pages
format PRL pour le séminaire, et je les metterai sur le site W3
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14 novembreGascon : Video speed electronic paper Lefebvre : L’effet CasimirBertrand : C60Kelly : Space travelZhang : Wolfram’s Computational Equivalence
Parent : Dark matterCienak : Strong nuclearforce
Les séminaires 8+2+3 minutes
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Les séminaires 8+2+3 minutes
21 novembre
Stone : Fractals Kamran : Cosmologie M Lalonde : Sonoluminescence Meunier : Matérialisme scientifique O’Byrne : Superfluidity Vachon : Astronomie expérimentale Miranda : Quantum Cryptography
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Les séminaires 8+2+3 minutes
28 novembre
J Lalonde : SNO Pinet : Parallel computing & HPCCorrigan : The anthropic principleComeau : Particle acceleratorsDumouchel : Thermonuclear synthesisD’Eca : String TheoryWong : Quantum dots
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PLAN: Maple 9 Getting started (Chapters 1-4) Polynomials (Chapters 5-7, 13, 14) Functions (Chapter 8) Calculus (Chapters 9-11, 17) List, set, array (Chapter 12) Linear Algebra (Chapters 18, 19) Solving equations (Chapter 16) Graphics (Chapter 15)
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30 october – 1 november
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PGS Master’s and Doctoral Check List:
Form 200
Outline of proposed research (1 page)
Awards, Contributions and Statement (2 pages)
Support letters for location of tenure (if applicable) All official academic transcripts (undergraduate and graduate)
Appendix 1, Report on the Applicant, in a sealed envelope (two required)
Appendix 2, Departmental/University Evaluation
Signed cover page
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Physics as a profession 1. Science et vérité 2. La recherche et
sa société 3. M. Sc. & Ph. D. 4. Information 5. Publishing 6. Éthique 7. Journalism, etc.
8. PresentationFigs, tables, fits…
9. SéminairesSlides, plan, …
10. $Grants, costs…
11. Canadagranting agencies…
12. Physicist ?
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9. Seminars Modes
transparencies/acétates~standard in physics
slidesmedical sciences
PowerPointgrowing, + movies!
blackboardmaths!
Durationstypically 10-20 mininvited speaker will
have about X2-3~10% for questionsin a conference, you
MUST stopin a seminar, taking
too much time is a sign of a poor speaker
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Parts[introduce the group]plan
1 slide
introduction to the topic
what are the questions to be investigated
methodsresultsconclusions & future
1-2 slides
Postersnow very commonposter sessions can
have 10s or even 100s of posters
surface area ~ 2 m2
will last a few hoursbusiness cards and
reprints/preprints are exchanged
main problem: too much, too small
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The ABSTRACT(for a conference)titlenames of authors,
with the speaker being the first author
addresses (brief) 10 lines or somaybe 1-2 referencesmay have
acknowledgmentsoften vague because
results are not known 6 months ahead of time!
Resultsusually, this is the
longest partcontains lots of
graphs, tables, etc.roughly 0.5-1/mingraphs of high qualitymake sure the labels
are readable
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STYLEwalk aroundmake jokes☺mention historyface the publicdo NOT block the
screen or the projector
speak upcheck the time or
follow the chair’s signs
english in most conferences
Before and afterbefore:
check your materialchair of the session will
introduce you, and mention the title
if it is a seminar, the chair will give a short biography
after:the chair will ask for
questions and usually chooses the order
the chair will decide when to terminate
the chair may ask you to stop immediately
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Recommended1 subtopic/slideuse easy-to-read
fonts and sizesdo not bring notesdo not read a textdo not try to answer a
question when you don’t know the answer
reduce the number of things to talk about but improve their presentation
Biggest mistakesexceed the timetoo much materialdoes not describe
the variables,the axesthe experiment
the goal of the work is not clear
no conclusions
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Examples of PowerPoint slides
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An Exact Numerical Approach to Calculating Diffusion Coefficients in Chemistry and Biology
Tuesday, November 7th, 2000 - University of Wisconsin - Madison
Physical Chemistry Seminar,
11:00 a.m., Room 8335 Chemistry Building.
Gary Slater, University of Ottawa, Canada
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My abstract Diffusion problems are common in the Natural Sciences and play an
important role in modern technology. Examples include the migration of macromolecular objects in gels and porous media, the lateral motion of proteins in biomembranes, the mixing of chemical species in stagnant liquids, etc. Standard theoretical methods focus on the diffusion equation and the relevant boundary conditions, but in practice this approach is usually rather limited. Computer simulations, based on the so-called Monte Carlo algorithm, are used extensively to understand how the structure of the system impacts the diffusion of mobile molecules. Our group has recently developed a numerical method that can replace Monte Carlo methods for a wide variety of systems. Typically, our method is faster than Monte Carlo simulations, uses only a Pentium processor, and provides results that are at least 6 to 9 orders of magnitude more precise. In this talk, I will first introduce the basic concepts of the theory of diffusion. Then, I will present our approach, how YOU can easily implemented it on a PC, and some results for various problems of interest in biology and chemistry.
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Random Walks: general aspects
Model for diffusion unbiased leads to non-
spherical patterns with isotropic mean properties
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http://polymer.bu.edu/java/
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Problems to be studied here
With constraints / obstacles No external field Simple particles Steady-state only 2D or 3D
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How to tackle such problems
Monte Carlo• lattice• obstacles• PBCs• generate random
numbers (1=+x, 2=-x, 3=+y, 4=-y)
• repeat ad nauseum• compute D=dx2/dt
as a slope, with its error bar
Our method• lattice• obstacles• PBCs• apply arbitrary field• compute exact
local probabilities and local velocities
• compute exact D in the limit where the field is zero
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Nernst-Einstein relation
C=concentration of obstacles
=external field =V/=mobility Valid only near
equilibrium
)0,(
)C,(
)0(D
)C(Dlim
0
It is much easier to compute a velocity (a “signal”) than a diffusion coefficient (a “fluctuation”)
Since 0, its value (& source) is arbitrary
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General local velocities
4 cases:• free V = /d• front blockade V = -(1-)/2d• rear blockade V = +(1+)/2d• blocked V = 0
LpLpV xxi )1()x(p d21
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Diffusion Coefficient
I1
II
0
nTTvvd
)0(
)C(lim)C(*)C(*D
)0(D
)C(D
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Examples...
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D*
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Gives rational fractions.
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(a) (b)
(c)
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Q: In the case of electrophoresis, should we worry about field lines?
Locke et al. recently claimed that the Ogston model actually work if we taken into account the curved field lines around non-conducting obstacles
Field lines could actually cancel some of the non-Ogston effects
However, that would violate the Einstein relation!
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CONCLUSIONS Our approach can replace Monte Carlo
methods for tons of applications Faster, simpler, more precise than Monte
Carlo, even on Pentiums!
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Acknowledgments Funded by: NSERC, Applied Biosystems Collaborators: Guy Drouin, Laurette
McCormick, Michel Gauthier