Hi Munier, Unfortunately I don't think that's possible at the moment. OffAxisProjectionPlot uses the volume renderer behind the scenes to actually calculate the projections and right now the volume renderer doesn't support arbitrary data sources, although I think Sam wants to add this functionality in the medium term. If the field cut you're using is based on a geometric constraint, it might be possible to hack something together using a covering grid, but if it's based on a field value I'm not sure how that would work currently. Sorry for the seemingly arbitrary limitation :( -Nathan On Wed, Aug 7, 2013 at 11:37 AM, Munier Azzam Salem < msalem@astro.columbia.edu> wrote:

Hey guys,

I've been trying to make slices of density only looking at cooler gas (i.e. with a cut in Temperature). I've found a nice way to do this for simple projections. But my strategy breaks for Off-Axis projections.

Specifically, this works fine: * * *field_parameters={'field_cuts':["grid['Temperature'] < 1e6 "]})* *cold_proj = ProjectionPlot(pf,0,'Density',field_parameters=field_parameters)* * *

but this does not:

*cold_proj = OffAxisProjectionPlot(pf,axis,'Density',north_vector=north,* * field_parameters= field_parameters)*

sensibly enough, since field_parameters is not a keyword argument for off axis projections.

Is there a decent workaround for this? Or would this be simple to add into yt's functionality? I've looked briefly into the sourcehttp://yt-project.org/doc/_modules/yt/visualization/plot_window.html#OffAxis...and it doesn't seem obvious how to slip this in.

thanks! Munier

-- Munier A. Salem // 845.489.6450

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Thanks Guys, Kacper, that looks like a work-around for now, thanks. Munier On Wed, Aug 7, 2013 at 2:53 PM, Kacper Kowalik wrote:

On 07.08.2013 20:37, Munier Azzam Salem wrote:

...

Hey guys,

I've been trying to make slices of density only looking at cooler gas (i.e. with a cut in Temperature). I've found a nice way to do this for simple projections. But my strategy breaks for Off-Axis projections.

Specifically, this works fine: * * *field_parameters={'field_cuts':["grid['Temperature'] < 1e6 "]})* *cold_proj = ProjectionPlot(pf,0,'Density',field_parameters=field_parameters)* * *

but this does not:

*cold_proj = OffAxisProjectionPlot(pf,axis,'Density',north_vector=north,* * field_parameters= field_parameters)*

sensibly enough, since field_parameters is not a keyword argument for off axis projections.

Is there a decent workaround for this? Or would this be simple to add into yt's functionality?

Hi, I think that you could define auxiliary derived field like

@derived_field(name = "cut_dens", validators = [ValidateSpatial(1)], units = r"g/cm^3") def _cut_dens(field, data): cut = data['Density'].copy() cut[data['Temperature'] < 1.0e6] = 0.0 return cut

and make OffAxisProjection of that. Cheers, Kacper

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-- Munier A. Salem // 845.489.6450

Hi all, I think for the idea of field cuts, the solution Kacper is the right way to go. Since the OffAxisProjection plots don't do vertex-centering, it should be equivalent to doing the field cuts as a data source object. As for going forward, HomogenizedVolume is deprecated. For the purposes of volume rendering arbitrary data sources, this is on my immediate todo list. Off-axis projections should gain the same type of functionality as that is implemented. The primary road block is determining exactly how the the starting and stopping criteria should function for arbitrary data sources. There is a fast/easy way and a difficult/more accurate method of doing so. I've done the fast/easy method in a few incarnations and am ~80% happy with it. Sam On Wed, Aug 7, 2013 at 2:32 PM, Cameron Hummels wrote:

Munier,

I think there is a way to do what you want. It involves using the HomogenizedVolume class (as opposed to the newer KDTree class) for decomposing the volume before raycasting in the camera object. I have an old script that did this, but I just tested it out, and it no longer works in the current yt paradigm. I poked around and cannot seem to get it to work to do what you want. Unfortunately, the main point of contact on the HomogenizedVolume class is Matt, and he's currently on his honeymoon for a few weeks. Furthermore, I think the path forward in yt was for completely doing away with the HomogenizedVolume class in the near future, as it is now almost a subclass of functionality of the kdtree. I think one of the main pieces of functionality that was holding up this changeover was that which you have discovered--being able to specify data sources to the camera object for rendering, as Nathan alluded to above. Sam, what is the status of the kdtree being able to handle arbitrary data sources for rendering?

For reference, I've attached a modified form of my old script (along with some comments for options that wouldn't successfully run) which could do this circa 1.5 years ago here: http://paste.yt-project.org/show/3750/

Cameron

On Wed, Aug 7, 2013 at 11:57 AM, Munier Azzam Salem < msalem@astro.columbia.edu> wrote:

...

Thanks Guys,

Kacper, that looks like a work-around for now, thanks.

Munier

On Wed, Aug 7, 2013 at 2:53 PM, Kacper Kowalik wrote:

...

On 07.08.2013 20:37, Munier Azzam Salem wrote:

...

Hey guys,

I've been trying to make slices of density only looking at cooler gas (i.e. with a cut in Temperature). I've found a nice way to do this for simple projections. But my strategy breaks for Off-Axis projections.

Specifically, this works fine: * * *field_parameters={'field_cuts':["grid['Temperature'] < 1e6 "]})* *cold_proj = ProjectionPlot(pf,0,'Density',field_parameters=field_parameters)* * *

but this does not:

*cold_proj = OffAxisProjectionPlot(pf,axis,'Density',north_vector=north,* * field_parameters= field_parameters)*

sensibly enough, since field_parameters is not a keyword argument for off axis projections.

Is there a decent workaround for this? Or would this be simple to add into yt's functionality?

Hi, I think that you could define auxiliary derived field like

@derived_field(name = "cut_dens", validators = [ValidateSpatial(1)], units = r"g/cm^3") def _cut_dens(field, data): cut = data['Density'].copy() cut[data['Temperature'] < 1.0e6] = 0.0 return cut

and make OffAxisProjection of that. Cheers, Kacper

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-- Munier A. Salem // 845.489.6450

_______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org

-- Cameron Hummels Postdoctoral Researcher Steward Observatory University of Arizona http://chummels.org

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