Only the combined effort of observational and theoretical methods can really bring us to a more thorough understanding of the Universe throughout all spatial scales. The authors of today’s paper use and adapt the moving-mesh fluid mechanics code AREPO to function with protoplanetary disks and test its imprint on the potential of planets to open up gaps in the surrounding gas.
How do the most massive stars explode? A new model of massive stars predicts new observational evidence.
Spherical cows have a long and storied history in physics, but does this type of crude approximation lead to realistic conclusions in the case of star formation? The combination of large- and small- scale simulations tests this idea.
How does a massive star’s rotation affect the properties of its eventual explosion?
Neutron stars can provide insights into extreme and exotic states of matter.
Explore an astrophysical classic describing the effect of the Universe’s expansion on the seeds of galaxies.
What can the growth of structure in the Universe tell us about how regular matter and dark matter scatter? The authors develop a simple framework and get model-independent constraints; read on for the answer.
A new model simulates the composition of growing planetesimals in an evolving protoplanetary disk. The model predicts that carbon-rich terrestrial planets can form more easily than previously thought.
In this short critical essay, a computational astrophysicist, Kevin Heng, questions the movement of his field toward more complex models producing larger volumes of data. Toward the end of his essay, Heng poses some open questions to the simulation community. “Is scientific truth more robustly represented by the simplest, or the most complex model?”, and, “How may we judge when a simulation has successfully approximated reality in some way?”
Why resort to complicated theories that involve mysterious, unknown forces and states of matter? The geocentric model of the Universe nicely explains 1st century C.E. data.