Production of lepton pairs from an arbitrarily magnetised QCD medium

We have estimated the rate of production of lepton pairs from a magnetised hot and dense QCD medium. We get rid of all kinds of previously considered approximations in terms of the strength of the magnetic field as well as the components of the momentum of the emitted lepton pairs. We find an enhancement in the rate in presence of an arbitrary strength of the magnetic field. With further consideration of an effective model scenario, we find the appearance of a gap in the rate. The implications of such a gap and other quasi-quark effects on the rate have been investigated in detail

ESCELL: Emergent Symbolic Cellular Language

We present ESCELL, a method for developing an emergent symbolic language of communication between multiple agents reasoning about cells. We show how agents are able to cooperate and communicate successfully in the form of symbols similar to human language to accomplish a task in the form of a referential game (Lewis' signaling game). In one form of the game, a sender and a receiver observe a set of cells from 5 different cell phenotypes. The sender is told one cell is a target and is allowed to send one symbol to the receiver from a fixed arbitrary vocabulary size. The receiver relies on the information in the symbol to identify the target cell. We train the sender and receiver networks to develop an innate emergent language between themselves to accomplish this task. We observe that the networks are able to successfully identify cells from 5 different phenotypes with an accuracy of 93.2%. We also introduce a new form of the signaling game where the sender is shown one image instead of all the images that the receiver sees. The networks successfully develop an emergent language to get an identification accuracy of 77.8%.Comment: IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2020