scida is an out-of-the-box analysis tool for large scientific datasets. It primarily supports the astrophysics community, focusing on cosmological and galaxy formation simulations using particles or unstructured meshes, as well as large observational datasets. This tool uses dask, allowing analysis to scale.
Under the details of "supported_datasets/tng", you describe how to adjust the demo code from
ds = load("./snapdir_030")
to
sim = load("TNG50-4")
ds = sim.get_dataset(30)
which is good, I would leave this. But add comments that:
this works because scida automatically searches a list of known paths for "TNG50-4".
before this snippet, add a more explicit and different option sim = load("/home/tnguser/sims.TNG/TNG50-4/output/snapdir_030") which makes the connection to the first snippet very clear.
Under the details of "supported_datasets/tng", you describe how to adjust the demo code from
to
which is good, I would leave this. But add comments that:
sim = load("/home/tnguser/sims.TNG/TNG50-4/output/snapdir_030")which makes the connection to the first snippet very clear.