[yt-users] Covering Grid Dimensions: multiple refinement levels

[Carla Bernhardt]

Thank you for your quick response. However, when I used:

ref = int(np.product(ds.ref_factors[0:3])),

I got this error:

AttributeError: 'EnzoDataset' object has no attribute 'ref_factors'

Did I misunderstand your suggestion? Or do I need to import something?

Thanks,

Carla

2015-11-19 15:39 GMT+01:00 Michael Zingale <michael.zingale at stonybrook.edu>:

> I've done this in the past:
>
> ref = int(np.product(ds.ref_factors[0:max_level]))
>
>
>
> # allocate for our uniformly-gridded result
>
> dims = ds.domain_dimensions*ref
>
> this will work for a more general case when the jump between levels can
> change as a function of level.
>
> On Thu, Nov 19, 2015 at 9:10 AM, Carla Bernhardt <
> carla.j.bernhardt at gmail.com> wrote:
>
>> Dear YT Users,
>>
>> To better understand covering_grid (or smoothed_covering_grid), can
>> someone explain what dimensions I should use when I have multiple levels of
>> refinement? If I have 1 level of refinement from AMR data, the dimensions
>> should be the same, I believe, but what if I have 2 or 3 levels of
>> refinement? Should the fixed resolution region then have dimensions of
>> dims*2^2 and dims*3^2 respectively?
>>
>> Here is one example from a tutorial
>> <http://yt-project.org/doc/examining/low_level_inspection.html#examining-grid-data-in-a-fixed-resolution-array>
>> if that helps isolate my question:
>> all_data_level_2 = ds.covering_grid(level=2, left_edge=[0,0.0,0.0],
>>                                       dims=ds.domain_dimensions * 2**2)
>>
>> Thanks in advance,
>> Carla
>>
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>>
>>
>
>
> --
> Michael Zingale
> Associate Professor
>
> Dept. of Physics & Astronomy • Stony Brook University • Stony Brook, NY
> 11794-3800
> *phone*:  631-632-8225
> *e-mail*: Michael.Zingale at stonybrook.edu
> *web*: http://www.astro.sunysb.edu/mzingale
> github: http://github.com/zingale
>
>
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