Description
Protostellar jets play a pivotal role in injecting matter and momentum into their environment, influencing regions several parsecs in size. This feedback mechanism significantly impacts the dynamics, morphology, and fragmentation of molecular clouds, which in turn, affects the formation of subsequent protostars. Understanding how jets regulate accretion processes and filamentary structures is critical for accurately modelling star formation. In this submission we present a novel subgrid model within the widely-used hydrodynamic simulation code, AREPO, to simulate protostellar jet feedback. Our approach injects mass and momentum into conical volumes near the sink particles, with adaptive mesh refinement ensuring numerical consistency. This methodology enables an investigation of the interplay between jet-driven feedback and filamentary evolution. Areas of particular interest include the alignment between the jets and the filaments; the impact on the lifetime of the filaments by the jets; and measuring the correlation between the abundance and strength of the jets with the star formation efficiency. Ultimately, this work aims to enhance the predictive power of simulations, bridging the gap between theoretical models and observations.
