Collisions in a system of conical jet/counterjet outflows
A. C. Raga, Z. Meliani, A. Rodríguez-González, S. Cabrit, G. Pineau des Forêts, J. I. Castorena, A. Esquivel
TL;DR
This work develops a parsimonious geometric-statistical framework to estimate jet-jet collisions among protostellar outflows in star-forming clusters. By combining Monte Carlo simulations for two-outflow encounters with analytic extensions to $N_j$ outflows, the authors derive a practical expression for the expected number of collisions as a function of the jet opening angle $\alpha$ and the jet-to-separation ratio $L_j/R_c$, and they validate the approach against 3D gasdynamics simulations. Application to real systems (NGC 1333 and the Orion Nebula Cluster) demonstrates how observed outflow morphologies can be used to infer collision probabilities and interaction rates, with angular width emerging as a dominant parameter. The study also introduces the volume filling factor $f_V(t)$ to connect cumulative jet activity to the evolving dynamical state of the cluster, highlighting how increasing jet activity promotes a highly interactive regime.
Abstract
Stars predominantly form in compact, non-hierarchical clusters. The gas outflows ejected by protostars can intersect and interact with each other, resulting in complex interactions that affect the dynamics, morphology, and evolution of these outflows. Determining the probability of an encounter between them requires a Bayesian approach that considers the collimation, length (or age), and separation between young stellar objects in the clusters. In this study, we employ a Monte Carlo approach to estimate this probability as a function of the jet opening angle and the ratio between the jet length and the separation between stars. We propose a function that predicts the number of interactions within a cluster based on the opening angle of the gas outflows ejected by protostars.
