activity
20132022
most cited-deformed complex fields and discrete symmetries

24 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

hep-th2022

-deformed complex scalar field: conserved charges, symmetries and their impact on physical observables

Andrea Bevilacqua, Jerzy Kowalski-Glikman, Wojciech Wislicki

In this paper we revisit the model of -deformed complex scalar field. We find that this model possesses ten conserved Noether charges that form, under commutators, a representat…

hep-th2020★ 24 cited

-deformed complex fields and discrete symmetries

Michele Arzano, Andrea Bevilacqua, Jerzy Kowalski-Glikman +2

We present a construction of -deformed complex scalar field theory with the objective of shedding light on the way discrete symmetries and CPT invariance are affected by the def…

physics.geo-ph2020★ 1 cited

First application of the failure forecast method to the GPS horizontal displacement data collected in the Campi Flegrei caldera (Italy) in 2011-2020

Andrea Bevilacqua, Abani Patra, E. Bruce Pitman +8

Using the failure forecast method we describe a first assessment of failure time on present-day unrest signals at Campi Flegrei caldera (Italy) based on the horizontal deformation…

physics.flu-dyn2019★ 2 cited

Notes on the analytic solution of box model equations for gravity-driven particle currents with constant volume

Andrea Bevilacqua

We summarize the physical equations and analytic solutions of three versions of the box model equations, suitable for the integral formulation of axisymmetric gravity-driven partic…

physics.flu-dyn2018★ 1 cited

Comparative analysis of the structures and outcomes of geophysical flow models and modeling assumptions using uncertainty quantification

Abani K. Patra, Andrea Bevilacqua, Ali Akhavan-Safaei +3

We present a new statistically driven method for analyzing the modeling of geophysical flows. Many models have been advocated by different modelers for such flows incorporating dif…

physics.data-an2018

Probabilistic enhancement of the Failure Forecast Method using a stochastic differential equation and application to volcanic eruption forecasts

Andrea Bevilacqua, E. Bruce Pitman, Abani Patra +3

We introduce a doubly stochastic method for performing material failure theory based forecasts of volcanic eruptions. The method enhances the well known Failure Forecast Method equ…