All Outputs (2)

Contribution of the Darwin operator to non-leptonic decays of heavy quarks (2020)
Journal Article
Lenz, A., Piscopo, M. L., & Rusov, A. V. (2020). Contribution of the Darwin operator to non-leptonic decays of heavy quarks. Journal of High Energy Physics, 2020(12), Article 199. https://doi.org/10.1007/jhep12%282020%29199

We compute the Darwin operator contribution (1/m3b correction) to the width of the inclusive non-leptonic decay of a B meson (B+, Bd or Bs), stemming from the quark flavour-changing transition b → q1q¯¯2q3, where q1, q2 = u, c and q3 = d, s. The key... Read More about Contribution of the Darwin operator to non-leptonic decays of heavy quarks.

Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions (2019)
Journal Article
Piscopo, M. L., Spannowsky, M., & Waite, P. (2019). Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions. Physical Review D, 100(1), Article 016002. https://doi.org/10.1103/physrevd.100.016002

Starting from the observation that artificial neural networks are uniquely suited to solving optimization problems, and most physics problems can be cast as an optimization task, we introduce a novel way of finding a numerical solution to wide classe... Read More about Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions.