danieljprice / phantom

Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code
https://phantomsph.github.io
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Add a new star formation prescription and HII region expansion stellar feedback (Embedded clusters simulation Framework) #577

Closed Yrisch closed 3 months ago

Yrisch commented 4 months ago

Type of PR: New physics

Description:

On the star formation prescription : activated with icreate_sinks == 2. This new star formation process consider sinks as stellar cores that could contain few stellar seeds. Cores will accrete mass using standard accretion method used with sinks. At a given fixed time this accretion stop and the sink (core) is converted into stars. These stars are treated as point masses without accretion radius. Only two parameters are currently free : the maximum accretion time tmax_acc and the creation time of the seeds tseeds The prescription is based on two main functions : ptmass_createseeds that initiate virtual ptmasses (with negative mass) after a formation time (before this time the sink is considered as a dense clump of gas). It is mandatory to count the right number of seeds within a core if we have multiple merging event before accretion stop. It also uses a linked list linklist_ptmass to track the number of seeds within each sinks. Each sinks after seeds creation has a sub linked list of those ones. This sub linked list can merge together if a merging event occurs. When the sink (core) reach the maximum accretion time the seeds within it are converted into stars (ptmass with tiny accretion radius) using ptmass_createstars, and they are placed into the simulation using a Plummer distribution (Aarseth 1974) inside the accretion radius of the parent sink. The momentum of the parent sink is also conserved. The parent is killed after that.

On the HII stellar feedback : Simple scheme to reproduce the HII region expansion aroud massive stars (> 8 MSun) in star forming region. This method uses the approach developed in Hopkins(2012) and Fujii+ (2021). Each massive stars are associated with a ionizing rate computed using table fitting (Fujii + 2021). It is then need to list the neighboring gas particles in order. getneigh_pos gives all the neighbors around a position then Knn_func sort the particles index in an ascending order. After that the main loop iterate on this list and compute for each particle the ionization rate needed to fully ionize the particle. This rate is then subtracted from the star ionizing rate. The loop continues until this rate is equal to zero. each particle ionized is flagged to true using isionised array. Each of them are then set to 10⁴ K in a new EoS. ieos == 21 Isothermal in cold (10K) and warm(10⁴ K) media ieos == 22 Isothermal in ionized regions(10⁴K) but adiabatic+cooling in cold medium (need to investigate this one)

Other few adds : -New timers for HII region and subgroups -Modification of the cluster setup -Fix some issues

Testing: New unit test for HII regions : Compare the initial Strömgren radius from the prescription and the theoritical formula New unit test for icreate_sinks == 2

Did you run the bots? yes

Did you update relevant documentation in the docs directory? no

Yrisch commented 4 months ago

Note : This new star formation scheme needs to store linklist_ptmass in a full dump to restart a simulation... It adds an 1D integer array to the ptmass block. I spotted an issue to open this new full dump with splash . In the splash read routine, we need now to skip all integer arrays as done with the gas block.

danieljprice commented 3 months ago

Note : This new star formation scheme needs to store linklist_ptmass in a full dump to restart a simulation... It adds an 1D integer array to the ptmass block. I spotted an issue to open this new full dump with splash . In the splash read routine, we need now to skip all integer arrays as done with the gas block.

-> should raise an issue on the splash GitHub