[Mesa-users] ppisn: evolve >150 Ms massive stars in 15140

[Rob Farmer]

Hi,

Try setting:
convergence_ignore_equL_residuals = .true.
in your controls inlist to help speed up the evolution.

>I suppose that either this is a new problem from new version, or this has
been solved in Marchant 2019 paper but not written in ppisn test_suite. Any
suggestion would be deeply appreciated.

test cases  /= published versions. The test case needs to be fast and work
well for the initial conditions it is set for, while hopefully that means
it works well for similar systems but that is not guaranteed. If you really
need 250msun models then i suggest using the inlists and mesa version
specified in marchant 2019.

Rob


On Fri, 21 May 2021 at 17:07, Jing-Ze Ma via Mesa-users <
mesa-users at lists.mesastar.org> wrote:

> Hi mesa users,
>
> I am having trouble evolving massive stars with mass above 150 Ms past He
> main sequence in ppisn test_suite. During relax_to_radiative_core or helium
> burning, I keep getting retries like
>
>  retry: max residual jumped -- give up in solver
>  retry: logT < hydro_mtx_min_allowed_logT
>  retry: logRho > hydro_mtx_max_allowed_logRho
>
> which slow things down and make it hard to get past He main sequence stage
> or even enter the main sequence stage. I am keeping everything as defaults
> in ppisn test_suite except with rotation_flag turned off. I am not sure
> whether this is caused by different mesa versions or not, since I am using
> 15140.
>
>
> A possible solution I am experimenting is to add
>
>  okay_to_reduce_gradT_excess = .true.
>  gradT_excess_lambda1 = -1
>
> and then turn off okay_to_reduce_gradT_excess when hydro is on, which
> would evolve a 150 Ms to the end.
>
> By further adding
>
>  change_mass_years_for_dt = 1d-2
>
> I manage to evolve a 200 Ms to the end.
> But for a 250 Ms model, I have not found a satisfying solution yet.
> Tweaking pre_ms_T_c or mesh_delta_coeff or turning off conv_vel_flag is not
> helping much.
>
> I suppose that either this is a new problem from new version, or this has
> been solved in Marchant 2019 paper but not written in ppisn test_suite. Any
> suggestion would be deeply appreciated.
>
> Thanks in advance!
>
> Cheers,
> Jing-Ze
>
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