Luca Sala

Excited to share an animated 3D rendering of a galaxy merger #simulation, showcasing my #blackhole spin evolution model in action! #astrophysics #research

@pkprem26 Thank you!

@WhatAUniverse That looks so amazing!

Excited to share an animated 3D rendering of a galaxy merger #simulation, showcasing my #blackhole spin evolution model in action! #astrophysics #research

@topati_lopez Pablo, my friend!!! Thank you! How have you been? 🤣🤣 I’m so sorry 😢 You introduced me to the exquisite Mate though, so now I’m definitely indebted with you ☺️

@WhatAUniverse Hey man! Pablo here, from Argentina. A couple winters ago we shared an office at Leiden University. You made fun of my poor taste in coffee 🤣. Awesome animation, congratulations!

@Magnetodawn Thanks a lot!

@WhatAUniverse 💃🕺 Very nice, Luca. Your simulation looks good!

@CombiLuc Thank you! The simulation is SPH-based and was run using a descendant of the Gadget-3 code :)

@WhatAUniverse awesome! is this SPH or grid-based?

Check out the website usm.lmu.de/CAST/science_g… and YouTube channel @andreasburkert/videos" target="_blank" rel="nofollow noopener">youtube.com/@andreasburker… of the Computational Astrophysics Group (CAST) of the University Observatory of LMU for more exciting science!

The model has been designed as an effective sub-resolution approach for simulations in which the smallest resolved scales are significantly larger than the black hole event horizon.

BiD4BESt Network Training Event – Dipartmento di Fisica e Astronomia, Alma Mater Studiorum Universita di Bologna, Italy – officially started 😊 Great to see our 13 early-stage researchers and supervisors attending in person in the beautiful city of Bologna.

Glad to have participated in #YAGN2022, which fostered many interesting collaborations among young astrophysicists on AGN!

Four of us managed to meet in Garching this weekend! @mathphuzz recently started a secondment at @LMU_Muenchen where @WhatAUniverse is based, while @nisach02 and @astroIMR are currently on secondment at @OmegaLambdaTec and @MPE_Garching