BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Theoretical Physics - ECPv6.5.1.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Theoretical Physics
X-ORIGINAL-URL:https://web-f1.ijs.si
X-WR-CALDESC:Events for Department of Theoretical Physics
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Ljubljana
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240610T120000
DTEND;TZID=Europe/Ljubljana:20240610T130000
DTSTAMP:20260423T212005
CREATED:20240506T132140Z
LAST-MODIFIED:20240610T104412Z
UID:25974-1718020800-1718024400@web-f1.ijs.si
SUMMARY:Bernat Corominas-Murtra\, "Topological transitions and cell-cell adhesion properties in development"
DESCRIPTION:Speakers: Bernat Corominas-Murtra (Karl-Franzens University Graz)\nThe developmental process implies precise but significant changes in the geometry and structure of the embryonic tissues. Recent results show that apparently minor changes in adhesion at the local level of cell-cell contacts trigger deep\, non-linear transitions in the topological organization of the whole embryonic tissue and\, in consequence\, change its material properties and facilitate geometrical deformations. Open questions remain\, like the potential existence of causal feedbacks between cell differentiation processes and the potential heterogeneity of topological patterns existing within the tissue. The results presented in this talk are based on the fundamental assumption that predictive frameworks in theoretical biology must explore the  connection between different scales of the system. In this particular case\, we use topology to establish a bridge between the system’s scales defined by i) the cell level and ii) the tissue level. This enables us to predict global\, non-trivial behaviours in tissues from the empirically feasible observables related to the mechanical properties of single cells.\nhttps://indico.ijs.si/event/2139/
URL:https://web-f1.ijs.si/event/bernat-corominas-murtra-tba/
LOCATION:Seminar room of physics (106) (IJS)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240613T141500
DTEND;TZID=Europe/Ljubljana:20240613T151500
DTSTAMP:20260423T212005
CREATED:20240506T132140Z
LAST-MODIFIED:20240611T231915Z
UID:25975-1718288100-1718291700@web-f1.ijs.si
SUMMARY:Tatyana Gavrilchenko\, "Lessons from the tracheal terminal cell: what a unicellular network can teach us about distribution network design principles"
DESCRIPTION:Speakers: Tatyana Gavrilchenko (Flatiron Institute\, NY\, USA)\nThe insect respiratory system is a network of air-filled tubes permeating the animal body\, supplying oxygen for metabolic activity and removing waste carbon dioxide. The majority of gas exchange occurs in the finest regions of the tracheal system\, the terminal cells. These cells have a unique and highly specialized tree-like structure with long thin branches\, reminiscent of neuronal arbors. While many aspects of the terminal cell are understood on a molecular level\, including the mechanisms that guide branch extension and lumen formation\, the macroscopic network features that allow for proper oxygen distribution remain mysterious. We use the Drosophila terminal cell as a model system for fundamental developmental problems of network structure and functions\, utilizing an imaging data set that fully maps the structure of over one hundred individual cells. First\, we find that scaling relations succinctly encapsulate the dynamics of growing networks\, and use the empirical scalings observed in the terminal cells to construct a minimal model of network growth that describes the system. Second\, to understand the interplay between structure and function in the trees\, we developed a model of oxygen distribution by a network embedded in a two-dimensional absorbing tissue\, driven purely by diffusion along oxygen partial pressure gradients. Our method works well on complex geometries\, including curved and branched networks that approximate the geometry of the terminal cells. These investigations offer insights into mammalian capillary networks\, which have different structural features and delivery mechanisms from terminal cells but are guided by similar developmental principles. Understanding the salient features that govern the structure of these biological networks is essential to designing synthetic vasculature\, a major step in the manufacture of artificial organs.\nhttps://indico.ijs.si/event/2138/
URL:https://web-f1.ijs.si/event/tatyana-gavrilchenko-tba/
LOCATION:Seminar room of physics (106) (IJS)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240617T140000
DTEND;TZID=Europe/Ljubljana:20240617T150000
DTSTAMP:20260423T212005
CREATED:20240502T142604Z
LAST-MODIFIED:20240617T125924Z
UID:25573-1718632800-1718636400@web-f1.ijs.si
SUMMARY:Ezequiel Alvarez: The Information frontier at the LHC
DESCRIPTION:Once we have obtained the data\, the question is how much information is encoded in it and how we can extract it. Any framework with this purpose utilizes information-besides-data and mathematical and statistical tools.  Bayesian statistics has the virtue that\, by modeling the inner structure of the data\, it allows us to inject prior information and its uncertainty as a catalyst to push out the information from the data.   The framework also possesses tools to assess the results unbiasedness and its consistency with the data.   We will show with examples at the LHC how to apply Bayesian tools in order to efficiently extract information about the physics inside.  We discuss possible applications in improving data-driven methods\, and in pp > hh > bbbb\, however the generality of the results apply to rethinking a variety of observables.  The method can exploit correlations at the event-by-event level and previously  untapped strengths such as for instance continuity and unimodality of some distributions.  We raise the question of whether there might be room for improvements in some of the current LHC analyses.\nhttps://indico.ijs.si/event/2135/
URL:https://web-f1.ijs.si/event/ezequiel-alvarez/
LOCATION:https://zoom.us/j/3601731049?pwd=bVNQRjUxU2ExZ0cveWcxYXNUUGdjZz09 (F1 tea room)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240626T130000
DTEND;TZID=Europe/Ljubljana:20240626T140000
DTSTAMP:20260423T212005
CREATED:20240607T162740Z
LAST-MODIFIED:20240626T110131Z
UID:29013-1719406800-1719410400@web-f1.ijs.si
SUMMARY:Martín Novoa-Brunet: NP @ High Precision beta decay
DESCRIPTION:https://indico.ijs.si/event/2166/
URL:https://web-f1.ijs.si/event/shoji-baratella-trailovic-the-standard-model-lifetime-is-slightly-shorter/
LOCATION:https://zoom.us/j/3601731049?pwd=bVNQRjUxU2ExZ0cveWcxYXNUUGdjZz09 (F1 tea room)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240627T140000
DTEND;TZID=Europe/Ljubljana:20240627T150000
DTSTAMP:20260423T212005
CREATED:20240415T083824Z
LAST-MODIFIED:20240627T124040Z
UID:24005-1719496800-1719500400@web-f1.ijs.si
SUMMARY:Manuel Szewc: Modeling Hadronization with Machine Learning
DESCRIPTION:A fundamental part of event generation\, hadronization is currently simulated with the help of fine-tuned empirical models. Motivated by the difficulties of these models\, in this talk I’ll present MLHAD: a proposed alternative where the empirical model is replaced by a surrogate Machine Learning-based model to be ultimately data-trainable. I’ll detail the current stage of development and discuss challenges and possible ways forward.\nhttps://indico.ijs.si/event/2088/
URL:https://web-f1.ijs.si/event/manuel-szewc/
LOCATION:https://zoom.us/j/3601731049?pwd=bVNQRjUxU2ExZ0cveWcxYXNUUGdjZz09 (F1 tea room)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Ljubljana:20240628T140000
DTEND;TZID=Europe/Ljubljana:20240628T150000
DTSTAMP:20260423T212005
CREATED:20240619T092342Z
LAST-MODIFIED:20240628T103014Z
UID:29998-1719583200-1719586800@web-f1.ijs.si
SUMMARY:Chandan Hati: Nonstandard Nucleon Decays
DESCRIPTION:Nucleon decays are generic predictions of many well motivated theories\, including those based on the unification of forces and supersymmetry. I will discuss how nonstandard nucleon decays offer a unique opportunity to broadly probe light new particles beyond the Standard Model with masses below few GeV\, including axion-like particles\, dark photons\, sterile neutrinos\, and scalar dark matter. Conventional searches can misinterpret and even completely miss such new physics. I will discuss a general strategy based on momenta of visible decay final states to probe these processes\, offering a rich physics program for existing and upcoming experiments such as Super-Kamiokande\, Hyper-Kamiokande\, DUNE\, and JUNO.\nhttps://indico.ijs.si/event/2173/
URL:https://web-f1.ijs.si/event/chandan-hati-nonstandard-nucleon-decays/
LOCATION:https://zoom.us/j/3601731049?pwd=bVNQRjUxU2ExZ0cveWcxYXNUUGdjZz09 (F1 tea room)
END:VEVENT
END:VCALENDAR