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X-WR-CALNAME:Statistical Physics and Complexity Group meeting
X-WR-CALDESC:Statistical Physics and Complexity Group meeting
X-PUBLISHED-TTL:PT12H
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/London
X-LIC-LOCATION:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
DTSTART:19810329T010000
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TZOFFSETTO:+0000
DTSTART:19961027T020000
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BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-76946@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20171123T102310
LAST-MODIFIED:20180125T113451
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180131T113000
DTEND;TZID=Europe/London:20180131T123000
SUMMARY:Sticky Particles and Detailed Balance
DESCRIPTION:During the course of my PhD I've been investigating the motion
of randomly moving interacting particles on a lattice which exclude each
other. In this talk I will discuss a simple 1-dimensional model and will t
hen show a result about its higher-dimensional analogues that you may find
interesting/surprising/trivial.\n\nSpeaker:\n* Mr Joshua Hellier (School
of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/76946-sticky-particles-and-detaile
d-balance
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-76947@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20171123T102814
LAST-MODIFIED:20181127T135036
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180207T113000
DTEND;TZID=Europe/London:20180207T123000
SUMMARY:Random walks and kernel methods
DESCRIPTION:I will present a method of tackling a class of 2-D random walk
s. Using an example of a 2-D walker with 3 possible movements\, I will out
line a derivation of the full generating function for paths of various len
gths and initial conditions\, starting from a recursion relation. This is
a somewhat unconventional method that exploits the symmetry of a `kernel'.
\n\nMy own work is predominantly based around the totally asymmetric exc
lusion process\, which relies on a mapping of the matrix product algebra t
o one such 2-D walk.\n\nReference: Bousquet-Mélou\, M. and Mishna\, M.\,
2010. Walks with small steps in the quarter plane. Contemp. Math\, 520\, p
p.1-40.\n\nSpeaker:\n* Mr Anthony Wood (School of Physics & Astronomy\, Un
iversity of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/76947-random-walks-and-kernel-meth
ods
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77334@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180207T133049
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180214T113000
DTEND;TZID=Europe/London:20180214T123000
SUMMARY:Temperature chaos and free energy landscapes
DESCRIPTION:"Temperature chaos" applies to certain systems with complex
free energy landscapes where a small change in temperature causes a comple
te reorganisation of the landscape. It is predicted to occur in glassy mat
erials and is related to memory and rejuvenation effects. I will talk abou
t the general concept of temperature chaos and then focus on some very sim
ple models that attempt to capture some of its characteristics.\n\nSpeaker
:\n* Dr Peter Mottishaw (School of Physics & Astronomy\, University of Edi
nburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77334-temperature-chaos-and-free-e
nergy-landscapes
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77369@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180212T152016
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180221T113000
DTEND;TZID=Europe/London:20180221T123000
SUMMARY:Scale invariance and pattern formation in out-of-equilibrium inter
faces
DESCRIPTION:Since the advent of the Kardar-Parisi-Zhang equation\, that of
random interfaces has grown to be one of the main topics in non equilibri
um statistical mechanics. In this talk I will introduce the concepts and i
deas behind the formulation of the KPZ equation\, then illustrate my PhD r
esearch focused on extending such concepts so as to bridge random interfac
es theory with that of active matter.\n\nSpeaker:\n* Mr Francesco Cagnetta
(School of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77369-scale-invariance-and-pattern
-formation-in-out-of-equilibrium-interfaces
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77328@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180202T154518
LAST-MODIFIED:20181127T135036
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180321T113000
DTEND;TZID=Europe/London:20180321T123000
SUMMARY:Parameter estimation and all that
DESCRIPTION:Least-squares method\, maximum likelihood\, Bayesian approach
- everyone has heard about at least one of these methods. But do people un
derstand how these approaches are related\, what assumptions they make\, a
nd when to use each of them? In this talk I am going to discuss the basics
of these methods and explain how they work using some simple examples. Si
nce data analysis is the bread-and-butter of a physicist\, this talk may b
e of interest to theorists\, computer modellers and experimentalists alike
.\n\nSpeaker:\n* Dr Bartlomiej Waclaw (School of Physics & Astronomy\, Uni
versity of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77328-parameter-estimation-and-all
-that
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77407@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180309T162047
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180328T113000
DTEND;TZID=Europe/London:20180328T123000
SUMMARY:Conference updates
DESCRIPTION:I will report about my recent visit to a workshop for early ca
reer researchers in physical sciences interested in funding opportunities
from EPSRC.\n\nSpeaker:\n* Dr Juraj Szavits Nossan (School of Physics & As
tronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77407-conference-updates
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77447@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180325T151126
LAST-MODIFIED:20180418T072842
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180418T113000
DTEND;TZID=Europe/London:20180418T123000
SUMMARY:Parameter estimation and all that - Part II
DESCRIPTION:Least-squares method\, maximum likelihood\, Bayesian approach
- everyone has heard about at least one of these methods. But do people un
derstand how these approaches are related\, what assumptions they make\, a
nd when to use each of them? In this talk I am going to discuss the basics
of these methods and explain how they work using some simple examples. Si
nce data analysis is the bread-and-butter of a physicist\, this talk may b
e of interest to theorists\, computer modellers and experimentalists alike
.\n\nThis 2nd part of the talk will include:\n\n- a brief reminder how Ap
proximate Bayesian Computation (ABC) works\n - error bars: confidence elli
pse/intervals from MLM\n - Bayesian inference: credible intervals\n - fund
amentals of hypothesis testing\, p-value\n\n and if time permits\, Monte C
arlo methods in data analysis\n\n- resampling methods: bootstrap\, jacknif
e\n - Monte Carlo method of error propagation\n - Monte Carlo Markov Chain
ABC\n - Monte Carlo hypothesis testing\n\n \n\nSpeaker:\n* Dr Bartlomie
j Waclaw (School of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 6201\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77447-parameter-estimation-and-all
-that-part-ii
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77772@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180423T080547
LAST-MODIFIED:20180423T144329
STATUS:CONFIRMED
DTSTART;VALUE=DATE:20180425
DTEND;VALUE=DATE:20180426
TRANSP:TRANSPARENT
SUMMARY:Parameter estimation and all that - part III
DESCRIPTION:The 3rd part will be broadly about Monte Carlo methods in stat
istics:\n\n Bayesian inference: Monte Carlo Metropolis-Hastings Approxima
te Bayesian Computation (ABC)\n\n\n fundamentals of hypothesis testing\,
p-value\n Monte Carlo hypothesis testing\n Bayesian model comparison u
sing ABC\n \n resampling methods: bootstrap\, jacknife\n Monte Carlo met
hod of error propagation\n\n\nSpeaker:\n* Dr Bartlomiej Waclaw (School of
Physics & Astronomy\, University of Edinburgh)
URL:https://www.ph.ed.ac.uk/events/2018/77772-parameter-estimation-and-all
-that-part-iii
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77791@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180501T080429
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180509T113000
DTEND;TZID=Europe/London:20180509T123000
SUMMARY:Conference updates
DESCRIPTION:Krakow conference etc...\n\nSpeakers:\n* Mr Anthony Wood (Scho
ol of Physics & Astronomy\, University of Edinburgh)\n* Mr Eoin Ó Laighl
éis (School of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77791-conference-updates
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77336@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180207T133325
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180516T113000
DTEND;TZID=Europe/London:20180516T123000
SUMMARY:Conditioned random walks
DESCRIPTION:The random walk is a fundamental model in statistical physics
for which many results are known\, for example\, the linear growth of the
mean-square displacement over time. Sometimes we are interested in problem
s where the walk is constrained to reach a certain point (a target) after
a certain amount of time. The statistics of the conditioned ensemble (i.e.
\, the subset of walks that actually hit the desired target) is different
from that of unconditioned (free) random walks. In this talk\, I will expl
ain why I am interested in this problem\, rattle through a few approaches
for studying the conditioned ensemble\, and try and show some results.\n\n
Speaker:\n* Dr Richard Blythe (School of Physics & Astronomy\, University
of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77336-conditioned-random-walks
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77877@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180515T175859
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180523T113000
DTEND;TZID=Europe/London:20180523T123000
SUMMARY:Finite size effects and replica symmetry breaking\; what can we le
arn from exact results?
DESCRIPTION:The talk will provide an introduction to the idea of replica s
ymmetry breaking in some simple models such as the random energy model and
the directed polymer in a random medium. I will then talk about some of t
he results I have obtained with Bernard Derrida using exact methods for fi
nite size corrections and compare them to the replica approach.\n\nSpeaker
:\n* Dr Peter Mottishaw (School of Physics & Astronomy\, University of Edi
nburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77877-finite-size-effects-and-repl
ica-symmetry-breaking-what-can-we-learn-from-exact-results
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77878@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180517T080010
LAST-MODIFIED:20181127T135036
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180530T113000
DTEND;TZID=Europe/London:20180530T123000
SUMMARY:Conditioned random walks: Part II
DESCRIPTION:I will continue my discussion of the problem of conditioning a
random walk on both its initial and final position. I will remind us of t
he main results obtained so far\, and focus in this talk on the problem of
identifying a stochastic differential equation that generates paths from
the conditioned ensemble with the correct probability (an application of
“Doob conditioning”). I will also discuss the distinction between aver
age paths and optimal paths\, which typically are not the same. Finally\,
if time permits\, I will sketch out what I have established so far for the
case of a neutral model of evolution (the Wright-Fisher and related model
s) in this context.\n\nSpeaker:\n* Dr Richard Blythe (School of Physics &
Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77878-conditioned-random-walks-par
t-ii
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77868@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180514T082228
LAST-MODIFIED:20181127T135055
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180606T113000
DTEND;TZID=Europe/London:20180606T123000
SUMMARY:Predicting the geographical dynamics of language
DESCRIPTION:Language is evolving everywhere\, all the time. As a result\,
people from different parts of a language area may use their language in q
uite different ways. This geographical variation has often been visualized
using “isoglosses”: lines marking the approximate geographical bounda
ries of different linguistic features. In this talk I will introduce a sim
ple mathematical model in which domains of distinctive language use emerge
spontaneously\, with transition zones in between. I will show that the sh
apes of domain boundaries (isoglosses) feel a form of surface tension and
are also warped and moved by variations in population density in a predict
able way. I will make comparison between the model’s predictions\, and t
he dialect areas of various countries\, and I will show how features such
as hierarchical diffusion\, fanning\, isogloss bundles\, city dialects and
dialect loss can be explained in a simple may. Finally\, I will discuss t
he connections between linguistics and physics: we are modelling isoglosse
s as if they were domain walls between different atomic orderings in magne
tic or crystalline materials\, but this is not the only analogy: linguists
have their own version of the correlation function: “Seguy’s curve”
. Perhaps both communities have been studying similar phenomena but at ver
y different length scales\, for some time.\n\nSpeaker:\n* Dr James Burridg
e (University of Portsmouth)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77868-predicting-the-geographical-
dynamics-of-language
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77871@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180514T145244
LAST-MODIFIED:20181127T135055
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180613T113000
DTEND;TZID=Europe/London:20180613T123000
SUMMARY:Nonequilibrium summer school update
DESCRIPTION:This is an update from the 5-day nonequilibrium summer school
at KU Leuven. It covered aspects of modern nonequilibrium theory\, simulat
ion methods\, and quantum statistics. I will explain a few concepts presen
ted in the school\, including 'frenesy' in nonequilibrium dynamics\, the d
ynamical ensemble approach to linear response theory\, and quantum typical
ity.\n\nSpeaker:\n* Mr Emil Mallmin (School of Physics & Astronomy\, Unive
rsity of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77871-nonequilibrium-summer-school
-update
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77910@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180617T103136
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180620T113000
DTEND;TZID=Europe/London:20180620T123000
SUMMARY:The random energy model: an introduction.
DESCRIPTION:The talk will focus on the random energy model as the simplest
example of a spin glass transition. The style will be pedagogical - feel
free to ask as many questions as you like :-)\n\nThermodynamic argument fo
r a freezing transition using the micro-canonical ensemble.\n Integer mome
nts of the partition function.\n Replica method to obtain the free energy.
\n Replica symmetry breaking and the overlap distribution.\n (if time) Exa
ct approach to obtaining free energy and overlap distribution.\nIf there i
s interest I can complete the talk next week.\n\nSpeaker:\n* Dr Peter Mott
ishaw (School of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77910-the-random-energy-model-an-i
ntroduction
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-77939@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180701T150202
LAST-MODIFIED:20181127T135103
STATUS:CANCELLED
DTSTART;TZID=Europe/London:20180704T113000
DTEND;TZID=Europe/London:20180704T123000
SUMMARY:[CANCELLED] The random energy model: A Poisson process version
DESCRIPTION:Following on from my talk a couple of weeks ago\, I will this
time talk about the Poisson random energy model. I will start from the def
inition of the model\, so there is no strong dependence on the last talk.
I will talk about a simple application of Poisson processes and hopefully
get as far as the replica method this time. The agenda will be\n\nThermod
ynamic argument for a freezing transition using the micro-canonical ensemb
le.\n Integer moments of the partition function.\n Replica method to obtai
n the free energy.\n Replica symmetry breaking and the overlap distributio
n.\n\n\nSpeaker:\n* Dr Peter Mottishaw (School of Physics & Astronomy\, Un
iversity of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/77939-the-random-energy-model-a-po
isson-process-version
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78179@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20180909T121654
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20180926T113000
DTEND;TZID=Europe/London:20180926T123000
SUMMARY:Group kick off meeting for 2018/19
DESCRIPTION:This is the restart of the Statistical Physics and Complexi
ty (SPC) Group meetings for 2018/19. It would be great if everyone coul
d attend because it is a chance for everyone to introduce themselves.\n
\n\n The agenda for the meeting\n 1. Introductions\n - ea
ch person to introduce themselves\n - give a few sentences on w
hat they are working on.\n - Maximum of 3 minutes per person.\n
- Feel free to use the whiteboard - but no slides.\n 2.
Discussion of what people would like from the meetings this year.\n
- what worked well last year.\n - new ideas on getting mor
e out of the meetings.\n If you would like to know more contact\n Me
eting Chair - Richard Blythe (standing in for Martin Evans)\n Organi
ser - Peter Mottishaw.\n\nSpeaker:\n* Dr Richard Blythe (School of Physic
s & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78179-group-kick-off-meeting-for-2
01819
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78233@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181001T092033
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181003T113000
DTEND;TZID=Europe/London:20181003T123000
SUMMARY:Hopping particles\, generating functions and the kernel method
DESCRIPTION:Many paradigmatic model systems in nonequilibrium statistical
physics involve particles that hop between sites of a lattice. The master
equation that governs the time evolution of the probability distribution f
or the system takes the form of a set of difference equations\, which in t
urn can (sometimes) be solved using generating functions (essentially\, th
e discrete analogue of a Laplace transform). The kernel method provides on
e technique to manipulate generating functions and determine the desired p
robability distribution. I will expose the machinery of the kernel method
with reference to a very simple particle hopping model\, and then sketch o
ut its application to the more complex problem of interacting run-and-tumb
le particles.\n\nSpeaker:\n* Dr Richard Blythe (School of Physics & Astron
omy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78233-hopping-particles-generating
-functions-and-the-kernel-method
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78282@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181008T153150
LAST-MODIFIED:20181008T153246
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181010T113000
DTEND;TZID=Europe/London:20181010T123000
SUMMARY:Saving Guinea Pigs with Survival Analysis
DESCRIPTION:At Quantics we deal with a wide variety of different statistic
al and mathematical challenges. We aim to help clients\, mainly in the L
ife Sciences sector\, to maximise the information they can extract from th
e data they collect\, improving the precision and accuracy of their estima
tes of key parameters and / or reducing the amount of resource used to ach
ieve given targets.\n\nI will outline a range of examples of the kinds of
projects to which we have contributed\, and discuss in one particular case
detail. This was a batch release assay for a vaccine where we were able
to reduce the number of animals needed by 25% whilst at the same time imp
roving the precision of the potency estimate\, by better mathematical use
of the data. The new study design also delivered other unanticipated ben
efits.\n\nSpeaker:\n* Ann Yellowlees (Quantics BioStatistics)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78282-saving-guinea-pigs-with-surv
ival-analysis
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78327@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181012T180427
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181017T113000
DTEND;TZID=Europe/London:20181017T123000
SUMMARY:Random energy model: Recap and replicas
DESCRIPTION:The talk will focus on the random energy model as the simplest
example of a spin glass transition. It is the follow-up to the talk I gav
e in June\, but I will recap from the beginning. The style will be pedago
gical - feel free to ask as many questions as you like :-)\n\nThermodynami
c argument for a freezing transition using the micro-canonical ensemble.\n
Integer moments of the partition function.\n Replica method to obtain the
free energy.\n (if time) Replica symmetry breaking and the overlap distri
bution.\n\n\nSpeaker:\n* Dr Peter Mottishaw (School of Physics & Astronomy
\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78327-random-energy-model-recap-an
d-replicas
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78355@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181020T114534
LAST-MODIFIED:20181020T145914
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181024T113000
DTEND;TZID=Europe/London:20181024T123000
SUMMARY:TASEP with dynamic defects
DESCRIPTION:I will present a model I have developed in collaboration with
Philip Greulich and (more recently) with Juraj. The model is biologically
motivated and is a simple extension of TASEP (totally asymmetric simple ex
clusion process) in which particles hopping between sites of a one-dimensi
onal lattice can be blocked by “defects” that stochastically bind to t
he sites and detach from them. Despite a much more complex dynamics compar
ed to “standard” TASEP\, the model has the same phase diagram and a ve
ry similar current-density relationship. We have not found a way to solve
the model exactly\, but I will show the results of numerical simulations a
nd some simple calculations that quite accurately predict various features
of the model.\n\nSpeaker:\n* Dr Bartlomiej Waclaw (School of Physics & As
tronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78355-tasep-with-dynamic-defects
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78357@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181020T114927
LAST-MODIFIED:20181030T081454
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181031T113000
DTEND;TZID=Europe/London:20181031T123000
SUMMARY:Kubo perturbation theory and Optical Properties of Materials
DESCRIPTION:I will discuss some aspects of Kubo’s response theory in the
context of the investigation of the linear optical properties of material
s. We will see how Kramers-Kronig and sum rules can be derived and used. F
inally\, we will explore results relevant for nonlinear optical processes\
, and in particular harmonic generation.\n\nRef:\n Lucarini et al\, Kramer
s-Kronig Relations in Optical Materials Research\, Springer\, 2005\n\nSpea
ker:\n* Professor Valerio Lucarini (University of Reading)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78357-kubo-perturbation-theory-and
-optical-properties-of-materials
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78414@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181102T141733
LAST-MODIFIED:20181127T135036
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181107T113000
DTEND;TZID=Europe/London:20181107T123000
SUMMARY:Pricing a financial derivative - the call option
DESCRIPTION:Suppose you want to make some money on the stock market. The u
sual place to start is to buy a stock and hope its price goes up. However\
, if it goes down you risk losing a lot of money! Alternatively\, you coul
d buy an call option on the stock. This is a financial product that grant
s you the right to purchase a stock at a fixed future date\, for a fixed p
re-agreed price. If the stock ends up above the agreed price you are in to
make a profit. If the stock crashes\, you simply don’t use the option\,
and only lose the amount you paid for it.\n\nIn this talk I discuss what
is a good price to pay for an option given the unpredictability of stock p
rices\, and derive an explicit formula when modelling the stock price as a
mean-reverting stochastic process.\n\nSpeaker:\n* Mr Anthony Wood (School
of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78414-pricing-a-financial-derivati
ve-the-call-option
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78462@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181112T145320
LAST-MODIFIED:20181113T091413
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181114T113000
DTEND;TZID=Europe/London:20181114T123000
SUMMARY:Conference dry run
DESCRIPTION:Renato: Lattice model of bacterial turbulence\n\nOne of the mo
st striking difference between active and passive systems is the appear
ance of collective motion in self-propelled particles suspended in a fl
uid observed in recent experiments and simulations: at low densities part
icles move around in an uncorrelated fashion\, while at higher densities
they organise into jets and vortices comprising many individual swimmer
s.\n\nRecent work (Stenhammar et al\, PRL 119\, 028005 (2017)) suggests th
at this transition is caused by mutual reorientation of the swimmers an
d is insensitive to their translational degrees of freedom.\n\nIn this w
ork we propose a lattice-based model of collective motion. We consider di
polar swimmers pinned to lattices of various symmetries\, and study the
ir dynamics in the presence of long-ranged hydrodynamic interactions.\n\n
----\n\nJames: Understanding the finite lifetimes of Newtonian Turbulence\
n\nRecently\, our understanding of the transition to turbulence has signif
icantly changed due to the discovery of exact solutions of the Navier-Stok
es equations and the introduction of the self-sustaining process in parall
el shear flows. This theory has been very successful in describing the mai
n features of weakly turbulent states\, including the metastable nature of
turbulence close to the transition and the super-exponential dependence o
f its lifetime on the Reynolds number.\n\nThe main strength of this approa
ch is that it allows for a semi-analytical description of the turbulent dy
namics in the form of a rather low-dimensional model. The exact form of su
ch models is typically guided by one's intuition and DNS. In this talk we
present a systematic way of deriving low-dimensional models for plane Coue
tte flow that requires no previous intuition of the system in question or
its dynamics. We find that the model exhibits a subcritical transition to
turbulent dynamics\, contains stable periodic orbits\, exact coherent stru
ctures and finite turbulent lifetimes. We demonstrate that the super-expon
ential nature of the lifetimes requires interactions between exact coheren
t structures of different symmetries and discuss the implications of this
discovery for the transition.\n\nSpeakers:\n* Mr Renato Assante (School of
Physics & Astronomy\, University of Edinburgh)\n* Mr James Hitchen (Schoo
l of Physics & Astronomy\, University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78462-conference-dry-run
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78483@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181119T070955
LAST-MODIFIED:20181119T070955
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181121T113000
DTEND;TZID=Europe/London:20181121T123000
SUMMARY:Response and Fluctuations in Climate Science
DESCRIPTION:The climate is a complex\, chaotic\, non-equilibrium system fe
aturing a limited horizon of predictability and variability on a vast rang
e of temporal and spatial scales. We show how the Ruelle response theory a
llows for predicting climate change – global averages and spatial patt
erns - using Green functions constructed for comprehensive global climate
models. We show how a breakdown of the Ruelle formulas occurs near climati
c critical transitions. We find evidence of a clear violation of the fluct
uation-dissipation theorem and clarify its theoretical reasons and practic
al relevance. Finally\, we address the problem of climate multistability r
esulting from the ice-albedo feedback\, and find the Melancholia state\, i
.e. the edge state between the two attractors corresponding to the co-exis
ting warm and snowball climate states. The Melancholia state is the gate f
or the noise-inducted transitions between the two stable states.\n\nSpeake
r:\n* Professor Valerio Lucarini (University of Reading)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78483-response-and-fluctuations-in
-climate-science
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78509@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181122T104138
LAST-MODIFIED:20181127T135103
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181128T113000
DTEND;TZID=Europe/London:20181128T123000
SUMMARY:Collective feeding in C. elegans nematode worms
DESCRIPTION:In complex biological systems\, simple individual-level behavi
oral rules can give rise to emergent group-level behavior. While such coll
ective behavior has been well studied in cells and larger organisms\, the
mesoscopic scale is less understood\, as it is unclear which sensory input
s and physical processes matter a priori. Here\, we investigate collective
feeding in the roundworm C. elegans at this intermediate scale\, using
quantitative phenotyping and agent-based modeling to identify behavioral r
ules underlying both aggregation and swarming - a dynamic phenotype only o
bserved at longer timescales. Using fluorescent multi-worm tracking\, we q
uantify aggregation behavior in terms of individual dynamics and populatio
n-level statistics. Based on our quantification\, we use agent-based simul
ations and approximate Bayesian inference to identify three key behavioral
rules that give rise to aggregation: cluster-edge reversals\, a density-d
ependent switch between crawling speeds\, and taxis towards neighboring wo
rms. Our simulations suggest that swarming is simply driven by local food
depletion but otherwise employs the same behavioral mechanisms as the init
ial aggregation. Hence\, mesoscopic C. elegans uses mechanisms familia
r from microscopic systems for aggregation\, but implemented via more comp
lex behaviors characteristic of macroscopic organisms.\n\nTime permitting\
, I will also talk about exploring the benefits of collective feeding usin
g minimal foraging models\n\nSpeaker:\n* Chancellor's Fellow Linus Schumac
her (MRC Centre for Regenerative Medicine\, The University of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78509-collective-feeding-in-c-eleg
ans-nematode-worms
END:VEVENT
BEGIN:VEVENT
CLASS:PUBLIC
UID:EVENT-78536@www.ph.ed.ac.uk
DTSTAMP:20181214T042958
CREATED:20181202T162323
LAST-MODIFIED:20181202T162323
STATUS:CONFIRMED
DTSTART;TZID=Europe/London:20181205T113000
DTEND;TZID=Europe/London:20181205T123000
SUMMARY:Replica symmetry breaking: the simplest example
DESCRIPTION:The aim of the talk is to complete the analysis of the simples
t spin glass model that I discussed in October. I will show how one step o
f replica symmetry breaking gives the correct low temperature phase and gi
ves some insight into the nature of the phase.\n\nThermodynamic argument f
or a freezing transition using the micro-canonical ensemble (quick recap).
\n Integer moments of the partition function.\n Replica method to obtain t
he free energy.\n Replica symmetry breaking and the overlap distribution.\
n\n\nSpeaker:\n* Dr Peter Mottishaw (School of Physics & Astronomy\, Unive
rsity of Edinburgh)
LOCATION:Room 2511\, JCMB
URL:https://www.ph.ed.ac.uk/events/2018/78536-replica-symmetry-breaking-th
e-simplest-example
END:VEVENT
END:VCALENDAR