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The grid will be sampled over all inputs in the grid namelist. The namelist grid describes the paramaters on which to calculate the grid. For a list of all options see section "basics defaults". At least you will have to specify the output directory. The namelist `` defines the global parameters for the grid. Output_dir = "wherever you want the output to be saved" The basic structure is the following: &basics It looks for a file called inlist_MESAPC. Similar to MESA, the input needed is a FORTRAN namelist file. home/user/Projects then set the environment variable using export MESAPC_DIR=/home/user/Projects/MESAPC If you have all the prerequisites installed, just install MESAPC with pip install MESAPCĪnd set the environmet variable MESAPC_DIR to the directory you are ready to go. Older versions of these modules have not been tested. MESAPC has been developed in a Python 3.7 environment using the following packages: To have this working properly, we strongly recommend working with a virtual environment. MESAPC makes use of of mulitple Python Libraries. The installation of MESA and the corresponding MESA SDK is straightforward. To run MESAPC you will need a working version of MESA. MESA is a one dimensional stellar evolution code widely used in stellar astrophysics (For more information please take a look at the intrument papers: MESA I, MESA II, MESA III, MESA IV and MESA V). It is easy to use as standalone routine using a FORTRAN namelist input file as well as part of an extended code. This is a library to calculate a grid (or multiple grids) of MESA models in an easy way using a Python implementation.

Set Up ProfilingLearn how to enable profiling in your app if it is not already set up.MESAPC - Modules for Experiments in Astrophysics Python Controller.

Set Up CronsLearn how to enable Cron Monitoring in your app.

Set Up PerformanceLearn how to enable performance monitoring in your app if it is not already set up.

Data ManagementManage your events by pre-filtering, scrubbing sensitive information, and forwarding them to other systems.

Enriching EventsEnrich events with additional context to make debugging simpler.

Migration GuideMigrate from the older version of our Python SDK.

TroubleshootingWhile we don't expect most users of our SDK to run into these issues, we document edge cases here.

Data CollectedSee what data is collected by the Sentry SDK.

UsageUse the SDK to manually capture errors and other events.

ConfigurationAdditional configuration options for the SDK.

Clicking on the error's title will open a page where you can see detailed information and mark it as resolved. To view and resolve the recorded error, log into sentry.io and open your project. Learn more about manually capturing an error or message in our Usage documentation.