Particle Seminar: Anindita Maiti (Perimeter), Title: Neural Network Field Theory: Fermions and Supersymmetry
Title: Neural Network Field Theory: Fermions and Supersymmetry Abstract: Based on a duality between Neural Network (NN) architectures, the backbone of modern AI/ML, and field theory, the Neural Network Field Theory (NNFT) correspondence offers a robust, interpretable, and training-free simulation framework for scalar, fermionic, and supersymmetric field theories. By constraining NNs in a maximally physics-informed manner, this approach eliminates the need for … Read More
Particle Seminar: Julie Pages (SLAC), Title: Towards a Field Redefinition Invariant Description of Effective Field Theories
Title: Towards a Field Redefinition Invariant Description of Effective Field Theories Abstract: Physical observables are invariant under field redefinitions, motivating a geometric formulation of Effective Field Theories. I will first review the scalar field-space geometry, where scalar fields are treated as coordinates on a Riemannian manifold, and show how this perspective simplifies calculations involving higher-dimensional operators, particularly in the context … Read More
Particle Seminar: Wenzer Qin (NYU), Title: Not-quite-primordial black holes
Title: Not–quite–primordial black holesAbstract: In this talk, I will discuss a new mechanism for the formation of seeds of supermassive black holes at early cosmic epochs. Enhanced density fluctuations with amplitudes that are not large enough to form primordial black holes post-inflation can still lead to collapsed dark matter halos at very early times. For halos forming prior to 1+z ~ 200, the Cosmic Microwave Background (CMB) … Read More
Particle Seminar: Austin Batz (U of Oregon), Title: On the Run from the Dark Side of the Muon
Title: On the Run from the Dark Side of the Muon Abstract: In a high-energy muon collider, the beam emits collinear particles that act as partons within the muon with parton distribution functions. I will present a method to search for new physics by exploiting deviations in Standard Model parton distribution functions due to modifying their scale evolution. One can simply select … Read More
Particle Seminar: Arthur Platschorre (Cornell), Title: Higher Axions
Talk title: Higher Axions Abstract: A large fraction of the experimental efforts searching for the (QCD) axion focus on smaller-scale, time-intensive, resonant searches. These searches would greatly benefit from a precise estimate of the axion mass. In theory, the axion mass can be inferred from the observed dark matter abundance and numerical simulations point towards an axion mass (slightly) higher … Read More
Particle Seminar: Elijah Sheridan (Cornell), Title: Mapping the string axiverse
Title: Mapping the string axiverse Abstract: Considerable progress has recently been made in understanding the string axiverse in Calabi–Yau compactifications. In this talk I discuss how this axiverse elucidates the quantum gravity prior on axion effective theories and advocate for a modular approach which organizes axiverse statistics around topology. This is illustrated through a study of fuzzy axion dark matter, … Read More
Particle Seminar: Arushi Bodas (U Chicago), Title: Speedup of Wave-Like Dark Matter Searches Using Entangled Qubits
Title: Speedup of Wave-Like Dark Matter Searches Using Entangled Qubits Abstract: Quantum sensing provides novel techniques that can accelerate searches for dark matter (DM). Recent proposals use entangled GHZ states for wave-like DM sensing, where quadratic scaling of the signal can be achieved through coherent addition of amplitudes from each qubit. In this talk, I will show that unlike analogous schemes in … Read More
Particle Seminar: Jessie Shelton (UIUC), Title: TBA
https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09
Particle Seminar: Seth Koren (Notre Dame), Title: TBA
https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09
Particle Seminar: Junwu Huang (Perimeter), Title: TBA
https://lbnl.zoom.us/j/94928022788?pwd=emVQWG1mTnhSbHVqekVuenk0VEVQZz09