Theory Division

The MicroBooNE liquid argon time projection chamber (LArTPC) has collected a record number of neutrino interactions from two high-intensity neutrino beamlines (BNB and NuMI) at Fermilab. The experiment has demonstrated that liquid-argon technology enables a far-reaching physics program, and has recently released its first results investigating the nature of the MiniBooNE anomalous excess of low-energy... More »

We established a paradigm where the (QCD) axion’s novel cosmological evolution, a rotation in the field space, gives rise to dark matter and the baryon asymmetry. The axion rotations also provide a natural origin for a kination era, where the total energy density is dominated by the kinetic term of the axion field, preceded by an... More »

In our current high precision era, quantum corrections due to the strong (QCD) sector are available to very high orders. However, effects from the electroweak (EW) sector are often either estimated or neglected. This talk considers how leading EW radiative corrections affect heavy particle physics in different energetic regimes. The discussion will cover various related... More »

Simulation of particle interactions with detector material, especially in the calorimeters are very time-consuming and resource intensive. In the upcoming LHC runs, these could provide a bottleneck that severely limits our analysis capabilities. In recent years, approaches based on deep generative models have provided a fresh alternative to “classical” fast simulation. In this talk, I... More »

Searches for missing energy at accelerators are a central pillar of the experimental program devoted to solving the dark matter puzzle. However, extended dark sectors may manifest themselves in the form of exotic signatures that are missed by standard searches. In my talk, I will discuss a particularly striking class of such signatures: dark showers... More »

Deep learning is an exciting approach to modern artificial intelligence based on artificial neural networks. The goal of this talk is to provide a blueprint — using tools from physics — for theoretically analyzing deep neural networks of practical relevance. This task will encompass both understanding the statistics of initialized deep networks and determining the... More »

Neutrinos are the most mysterious particles in the standard model. Many of their fundamental properties such as their masses, lifetimes, and nature (Dirac or Majorana) are yet to be pinned down by experiments. Currently, the strongest bound on neutrino masses comes from cosmology. This bound is obtained by scrutinizing the gravitational effect of the cosmic... More »