Building upon two decades of edge-finding archaeological research, the Yale Ancient Pharmacology Program continues to refine a transdisciplinary approach that seamlessly blends ethnography, materiality, and technology. Nucleating at the Yale Peabody Museum has allowed YAPP to work across its divisions and vast collections to push our knowledge of ancient organic materials through the fusion of ethnohistory, phytochemistry, and data science.
At extremely high temperature and energy density, the quarks and gluons form a novel state of matter called the Quark-Gluon Plasma (QGP). The QGP has been widely studied via relativistic heavy ion collisions in large collision systems like Au+Au and Pb+Pb. However, whether the QGP exists in small systems like p+Au, and the dependence of QGP production on the collision system size are still open questions. One way to study the QGP properties is by using proxies of high energy partons, which are created in the initial stages of the collisions, and fragment into hadrons in the final state.
Nuclear, particle and astrophysics are the themes of experiments hosted in underground labs. I will discuss, after motivated by fundamental questions, recent work done in Canfranc. Most of my talk will be concentrated on the exploration of neutrinos’ fundamental properties in nuclear and particle physics, astrophysics and cosmology, but I will also discuss current work on dark matter searches. Our cells are ionized by cosmic muons and radioactivity and I will briefly close with research on life processes in cosmic silence.
This workshop is intended to give C and Fortran programmers a hands-on introduction to OpenMP programming. Attendees will leave with a working knowledge of how to write scalable codes using OpenMP. This event will be presented using the Wide Area Classroom(WAC) training platform. This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.
Details and registration: https://www.psc.edu/resources/training/openmp-workshop-august-2023/
Dark matter is the name that we give to the 85% of matter in the universe that interacts via gravity but negligibly with any of the other known forces. One compelling model for dark matter is the axion, as it simultaneously solves the existence of dark matter and the strong CP problem in QCD. Axions can interact with a strong magnetic field through the Primakoff effect, wherein the axion can spontaneously convert into a photon in the presence of a strong magnetic field.
BENEATH THE GREEN, THE QUANTUM
IN PARTNERSHIP WITH YALE QUANTUM INSTITUTE
Getting there! DUNE with two 17kt LAr TPC Far Detector (FD1-FD2) modules, a Near Detector Complex and a Neutrino Beam with an intensity of 1.2 MW is well on its way to start physics in 2028 at SURF (SD). Mass Ordering and sensitivity to Maximal CPV - the initial goals of the flagship Long-Baseline (LBL) Neutrino Program - are within reach. The time has come to define a strategy to achieve the ambitious ultimate precision in the LBL physics goals and possibly further expand the DUNE science scope into the low-energy domain of rare underground physics and BSM searches.
At sufficiently high temperatures and pressures, QCD matter becomes a hot and dense deconfined medium known as the Quark Gluon Plasma (QGP). Collisions of relativistic heavy-ions are used to recreate the QGP, providing a rich laboratory for exploring the mysteries of the strong interaction. The intrinsic and dynamic properties of the QGP are probed with jets, narrow cones of particles resulting from the scattering of quarks and gluons with a high momentum transfer.
The field of accelerator neutrino experiments is entering an era of precision oscillation measurements where the remaining unknown neutrino measurements will be determined. The upcoming DUNE and Hyper-K experiments aim to determine the neutrino mass hierarchy and degree of Charge-Parity (CP) violation in the neutrino sector, providing potential insight on the matter-antimatter imbalance observed in the universe. However, these experiments require highly accurate measurements, and neutrino cross section modeling uncertainties may limit their capabilities.
Classical models of inference, such as those based on logic, take inference to be *conceptual* – i.e., to involve representations formed of terms, predicates, relation symbols, and the like. Conceptual representation of this sort is assumed to reflect the structure of the world: objects of various types, exemplifying properties, standing in relations, grouped together in sets, etc. These paired roughly algebraic assumptions (one epistemic, the other ontological) form the basis of classical logic and traditional AI (GOFAI).