Events Archive

I develop an effective theory which describes black holes with quantum mechanical horizons that is valid at scales long compared to the Schwarzschild radius but short compared to the lifetime of the black hole. The formalism allows one to calculate the quantum mechanical effects in scattering processes involving black hole asymptotic states.

The immune responses that defend us against pathogens are driven by stochastic processes amongst populations of cells. Enormous progress in immunology over the last few decades has identified most of the components of this complex system, including the cell types and the molecules used for communication.

Large angular scale polarimetry of the CMB will provide powerful constraints on the cosmological parameters r, the tensor-to-scalar ratio, and tau, the optical depth to the epoch of reionization.

Bacteria exhibit a high degree of intracellular macromolecular crowding. To control the level of crowding cells must increase their volumes in response to the accumulation of biomass during growth. This coordination is fundamentally not understood in any cell type.

The LHC is both a Higgs and B-factory, and for both particles it will likely deliver the largest data set we will see in our lifetimes. I will discuss a few examples on how we can leverage this to search for beyond the Standard Model physics. Some ideas can be implemented now, while others rely on the phase II upgrade.

Compositeness  is an elegant way to address the hierarchy problem. In this talk, under broad assumption of partial compositeness and Higgs doublet as the pseudo-Nambu-Goldstone bosons, I will discuss about phenomenology of the spin-1 resonances and the top partners in CHMs and the relevance of  their strong interactions in the searches at the...

In its high-luminosity phase, the CERN Large Hadron Collider will produce x10 more data, while the computing power for data processing will not scale accordingly. Particle physicists need novel solutions to accomplish the scientific  mission of the LHC. Deep Learning has the potential to be the game changer that could solve the problem.

Magic angle twisted graphene hosts low energy flat band as a result of interlayer hybridization.