7th International Meshing Roundtable '98

The goal of the 7th International Meshing Roundtable is to bring together researchers and developers from industry, academia, and government labs in a stimulating, open environment for the exchange of technical information related to the meshing process. In the past, the Roundtable has enjoyed significant participation from each of these groups from a wide variety of countries

Workshop on Aircraft Surface Representation for Aerodynamic Computation

Papers and discussions on surface representation and its integration with aerodynamics, computers, graphics, wind tunnel model fabrication, and flow field grid generation are presented. Surface definition is emphasized

Measurement of the Triple-Differential Cross-Section for the Production of Multijet Events using 139 fb^{-1} of Proton-Proton Collision Data at \sqrt{s} = 13 TeV with the ATLAS Detector to Disentangle Quarks and Gluons at the Large Hadron Collider

At hadron-hadron colliders, it is almost impossible to obtain pure samples in either quark- or gluon-initialized hadronic showers as one always deals with a mixture of particle jets. The analysis presented in this dissertation aims to break the aforementioned degeneracy by extracting the underlying fractions of (light) quarks and gluons through a measurement of the relative production rates of multijet events. A measurement of the triple-differential multijet cross section at a centre-of-mass energy of 13 TeV using an integrated luminosity of 139 fb −1 of data collected with the ATLAS detector in proton-proton collisions at the Large Hadron Collider (LHC) is presented. The cross section is measured as a function of the transverse momentum p T , two categories of pseudorapidity η rel defined by the relative orientation between the jets, as well as a Jet Sub-Structure (JSS) observable O JSS , sensitive to the quark- or gluon-like nature of the hadronic shower of the two leading-p T jets with 250 GeV < p T < 4.5 TeV and |η| < 2.1 in the event. The JSS variables, which have been studied within the context of this thesis, can broadly be divided into two categories: one set of JSS observables is constructed by iteratively declustering and counting the jet’s charged constituents; the second set is based on the output predicted by Deep Neural Networks (DNNs) derived from the “deep sets” paradigm to implement permutation invariant functions over sets, which are trained to discriminate between quark- and gluon- initialized showers in a supervised fashion. All JSS observables are measured based on Inner Detector tracks with p T > 500 MeV and |η| < 2.5 to maintain strong correlations between detector- and particle-level objects. The reconstructed spectra are fully corrected for acceptance and detector effects, and the unfolded cross section is compared to various state-of-the-art parton shower Monte Carlo models. Several sources of systematic and statistical uncertainties are taken into account that are fully propagated through the entire unfolding procedure onto the final cross section. The total uncertainty on the cross section varies between 5 % and 20 % depending on the region of phase space. The unfolded multi-differential cross sections are used to extract the underlying fractions and probability distributions of quark- and gluon-initialized jets in a solely data-driven, model- independent manner using a statistical demixing procedure (“jet topics”), which has originally been developed as a tool for extracting emergent themes in an extensive corpus of text-based documents. The obtained fractions are model-independent and are based on an operational definition of quark and gluon jets that does not seek to assign a binary label on a jet-to-jet basis, but rather identifies quark- and gluon-related features on the level of individual distributions, avoiding common theoretical and conceptional pitfalls regarding the definition of quark and gluon jets. The total fraction of gluon-initialized jets in the multijet sample is (IRC-safely) measured to be 60.5 ± 0.4(Stat) ⊕ 2.4(Syst) % and 52.3 ± 0.4(Stat) ⊕ 2.6(Syst) % in central and forward region, respectively. Furthermore, the gluon fractions are extracted in several exclusive regions of transverse momentum

Two Algorithms for Fast Reclustering of Dynamic Meshed Surfaces

Numerous mesh algorithms such as parametrization, radiosity, and collision detection require the decomposition of meshes into a series of clusters. In this paper we present two novel approaches for maintaining mesh clusterings on dynamically deforming meshes. The first approach maintains a complete face cluster tree hierarchy using a randomized data structure. The second algorithm maintains a mesh decomposition for a fixed set of clusters. With both algorithms we are able to maintain clusterings on dynamically deforming surfaces of over 100K faces in fractions of a second. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Geometric algorithms 1

PROCEEDINGS 5th PLATE Conference

The 5th international PLATE conference (Product Lifetimes and the Environment) addressed product lifetimes in the context of sustainability. The PLATE conference, which has been running since 2015, has successfully been able to establish a solid network of researchers around its core theme. The topic has come to the forefront of current (political, scientific & societal) debates due to its interconnectedness with a number of recent prominent movements, such as the circular economy, eco-design and collaborative consumption. For the 2023 edition of the conference, we encouraged researchers to propose how to extend, widen or critically re-construct thematic sessions for the PLATE conference, and the paper call was constructed based on these proposals. In this 5th PLATE conference, we had 171 paper presentations and 238 participants from 14 different countries. Beside of paper sessions we organized workshops and REPAIR exhibitions