yt-users July 2019

yt-users@python.org

16 participants
14 discussions

Stars on volume rendering
by Elizabeth Harper-Clark 11 Dec '21

11 Dec '21

Hi all, Thanks for all your help over the last couple of days. One more question: - Can I plot particles on a volume rendered image? I have stars and I want to show where they are! Thanks, Libby -- Elizabeth Harper-Clark MA MSci PhD Candidate, Canadian Institute for Theoretical Astrophysics, UofT Sciences and Engineering Coordinator, Teaching Assistants' Training Program, UofT www.astro.utoronto.ca/~h-clark <http://www.astro.utoronto.ca/%7Eh-clark> h-clark(a)cita.utoronto.ca Astronomy office phone: +1-416-978-5759

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Variance in phase/profiles
by david collins 11 Apr '20

11 Apr '20

Hi, Everybody! Does anyone out there have a technique for getting the variance out of a profile object? A profile object is good at getting <X> vs. B, I'd then like to get < (X - <X>)^2 > vs B. Matt and I had spittballed the possibility some time ago, but I was wondering if anyone out there had successfully done it. Thanks, d. -- Sent from my computer.

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Ytini installation for Houdini on Windows
by uran san 17 Dec '19

17 Dec '19

Hi guys, I am very new to Ytini's mailing list, mailing lists as well as Houdini. So please bear with me while I pick up the etiquette around this medium. With that out of the way here's my first question: After having succeeded installing Ytini for Houdini on a Mac OS X 10.14 I would now like to achieve the same with my Houdini install on a Windows 10 OS. I have tried to somewhat reproduce all steps described here http://www.ytini.com/getstarted.html#collapseTwoOut (Houdini 17.5 Tested on Mac OS X) on my Windows machine but wasn't surprised to learn that of course Houdini could not find the ytini module when I tried to import it in the python shell. Is there somebody, that could point me . in the right direction of how to install Ytini for Houdini on a Windows 10 OS environment? Not afraid of reading so even hints a re more than welcome. Many Thanks in advance Ur4n

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HOP vs Rockstar virial radii
by Nick Gnedin 07 Aug '19

07 Aug '19

Folks, I ran both HOP and Rockstar halo finders on the same ART simulations, and the mass functions match very well (attached hmf_m.pdf file). However, when I compare virial radii (attached hmf_r.pdf file), they don't match. Even if I try rescaling the Rockstar virial radius by 1.5, the match is much worse than for mass functions. How are the 'virial_radius' fields defined for both halo finders? This is a z=7 simulations, so all mass definitions are the same, Mvir = M200m = M200c. I also attach the script to plot virial radii if you want to check it, although it is trivial. Many thanks (as usual), Nick

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Question about YT Units Conversion
by Sean Larkin 07 Aug '19

07 Aug '19

Hello All, I am currently attempting to compare a catalog with Mvir and Rvir units of Mpc/h and Kpc/h comoving to a catalog with Mpc and Kpc proper. I am currently using yt version 3.5.1, which I just checked for updates. When doing this conversion of units within yt, there appears to be a problem where an amount of h*h is not handeled properly. I have included a screenshot of a jupyter session that outlines the problem as well as a .py and jupyter script so it can be tested. The problem arises when I try to calculate delta_vir, which is the density of a galaxy/ critical density. The correct value for both catalogs I am comparing is around 170. When I use yt to calculate the critical density at z = 2, it get the correct value, which I convert to Mpc*h*h//kpc/kpc/kpc to match with my /h catalog. Then, when I divide the densities, even thought their units are identical, their division is different than if just the float values are divided, by an exact factor of h*h. I wonder if there is something wrong with how I am initializing my values with the ytquantity, or if there is something wrong going on in the code. [image: Screen Shot 2019-07-31 at 2.36.01 PM.png]

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Lacking `particle_type` in yt 3.4.1 under Python 3.7
by Yi's Toy Repositories 29 Jul '19

29 Jul '19

I recently installed Anaconda3 with Python 3.7, as well as the latest yt 3.4.1. But when I ran my code, calculating the center of mass and angular momentum, an error saying: count_values() got an unexpected keyword argument 'particle_type' came up. Is there anything I can do to fix it except installing an Anaconda with Python 3.6?

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Increasing number of CPU cores can not speed up the works
by Tseng, Po-Hsun 18 Jul '19

18 Jul '19

Dear yt developers, I found that increasing number of CPU cores in a single node that have 16 cores and 16 additional hyper-threadings can dramatically deteriorate speed-up. figure [3] shows this result. You may reproduce figure [3] by the following steps: Running shell script [1] can automatically invoke yt script [2] and record elapsed time on files, called core_* [4]. [1] shell script: http://paste.yt-project.org/show/150/ [2] yt script: http://paste.yt-project.org/show/151/ [3] # of cores vs. elapsed time http://i.imgur.com/mFk6lKu.png [4] all scripts, data and log files: http://use.yt/upload/d8efa692 Thanks for your help. Rocky Tseng

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Python 2 support removed from yt-4 branch
by Matthew Turk 13 Jul '19

13 Jul '19

Hi all, With the merger today of https://github.com/yt-project/yt/pull/2163 , Python 2 support has been removed from the yt-4 branch. Those of you using the master branch or any release will not be affected, but if you're on yt-4, keep this in mind. Best, Matt

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cut_region() not working as intended
by Andrew Wu 11 Jul '19

11 Jul '19

Hi yt, When making projection plots of total gas density and cold gas density, averaged over the projection length (i.e. with a uniform weighting), and using cut_region() to filter out hot gas to make the cold gas plots, it appears that some areas in the cold gas plot have a higher density than the corresponding areas in the total gas plot, which shouldn't happen. If you look at the top-middle of the two plots (link below) and compare the densities, the cold gas appears to have a higher density there. The code is below: (link to plots: https://drive.google.com/drive/folders/1UJ6fmKNFQzGr8cfjov5-GwOzfS8nt2e8?us…) import yt ds = yt.load("/tigress/cen/CZ15/redshift0100") z = 0.62 # the box size is 120/0.7/(1+z) Mpc, where z is redshift boxSize = 120e3/0.7/(1+z) # virial radius in code units, r_v is virial radius in kpc codeWidth = r_v / boxSize center = [xCoord, yCoord, zCoord] left_edge = [xCoord-2.1*codeWidth, yCoord-2.1*codeWidth, zCoord-2.1*codeWidth] right_edge = [xCoord+2.1*codeWidth, yCoord+2.1*codeWidth, zCoord+2.1*codeWidth] # want a box with full width about 4 times the virial radius reg = ds.region(center, left_edge,right_edge) # total gas plot prj = yt.ProjectionPlot(ds, "x", "density", center=center, width=(4*r_v, 'kpc'), data_source=reg, method='integrate', weight_field='ones') u = 100 / 0.048 l = 0.07 / 0.048 prj.set_zlim('density', l,u) prj.set_unit('density','mbd') prj.set_cmap(field='density', cmap='CMRmap') prj.show() # cold gas plot cold_reg = reg.cut_region(["obj['temperature'] < 1e5"]) prj = yt.ProjectionPlot(ds, "x", "density", center=center, width=(4*r_v, 'kpc'), data_source=cold_reg, method='integrate', weight_field='ones') prj.set_zlim('density', l,u) prj.set_unit('density','mbd') prj.set_cmap(field='density', cmap='CMRmap') prj.show() Thanks, Andrew

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Streamline orientation
by Sushilkumar 08 Jul '19

08 Jul '19

Dear yt: I am trying to plot streamlines using SlicePlot(x axis) and annotate_streamlines (script below). The resulting image (google drive link below) gives the orientation of streamlines along y axis. I would like to have the streamlines orient along z-axis. I have tried switching the variables on "SlicePlot" and "annotate_streamlines" but the streamlines stays the same. Can you give me any suggestions? Thank you in advance ----------------------------------- Image link https://drive.google.com/open?id=0B4g8shg4DL7oak5PLWVVdG5UMHc ----------------------------------- script import yt import numpy as np import matplotlib.pylab as pl import matplotlib from yt.visualization.api import Streamlines from yt.units import km from mpl_toolkits.mplot3d import Axes3D ms = 24000000 vector_max=ms-(ms/3) ms1=ms-vector_max dims = (200,200,200) x = np.genfromtxt("/work/jbi157/MODEL3/UPDATE_B/yo_n_t005.mtx",skip_header=2,usecols=1, dtype="f8") x = x.reshape((8000000, 3), order="F") field1 = x[:,2].reshape(dims, order="F") field2 = x[:,1].reshape(dims, order="F") field3 = x[:,0].reshape(dims, order="F") data = dict(field_x = field1, field_y = field2, field_z = field3) bbox = np.array([[-100, 99], [-100, 99], [-100, 99]]) pf = yt.load_uniform_grid(data, dims, km, bbox=bbox, nprocs=1) slc = yt.SlicePlot(pf, 0, ["field_z"], width=(200,'km')) slc.set_cmap('field_z','B-W LINEAR_r') #slc.set_log('field_z', True, linthresh=0.001) slc.annotate_streamlines('field_z', 'field_y',factor=16,density=4,plot_args={'color':'blue'}) #slc.annotate_streamlines('field_y', 'field_z',factor=16,density=4) slc.annotate_line((0.36, 0), (0.36, 1), coord_system='axis',plot_args={'color':'white'}) slc.annotate_line((0.64, 0), (0.64, 1), coord_system='axis',plot_args={'color':'white'}) # larger the value of factor lesser the quiver #slc.annotate_quiver('field_y', 'field_z', factor=20, normalize=True) #slc.annotate_line_integral_convolution('field_y', 'field_z', lim=(0.30,0.70),cmap="YlGnBu",alpha=1,const_alpha=True) slc.annotate_sphere([0.5, 0.5, 0.5], radius=(9, 'km'),circle_args={'color':'black'}) #slc.annotate_text((50,50),'t=0',coord_system='plot',text_args={'color':'black'}) slc.annotate_title("t=005, psi=30") slc.hide_colorbar() slc.save('plane_x_t_0005.png') #slc.save('plane_x_t_0000.png', mpl_kwargs={'facecolor':'gray'}) On Thu, Jan 10, 2019 at 11:00 AM <yt-users-request(a)python.org> wrote: > Send yt-users mailing list submissions to > yt-users(a)python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mailman3/lists/yt-users.python.org/ > or, via email, send a message with subject or body 'help' to > yt-users-request(a)python.org > > You can reach the person managing the list at > yt-users-owner(a)python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of yt-users digest..." > > Today's Topics: > > 1. ANN: yt dev workshop, March 4-6 (Matthew Turk) > > > ---------------------------------------------------------------------- > > Date: Thu, 10 Jan 2019 09:58:14 -0600 > From: Matthew Turk <matthewturk(a)gmail.com> > Subject: [yt-users] ANN: yt dev workshop, March 4-6 > To: yt-dev(a)python.org, Discussion of the yt analysis package > <yt-users(a)python.org> > Cc: "Campbell, Mary Terese" <mtc(a)illinois.edu>, Samantha Walkow > <samwalkow(a)gmail.com>, Madicken Munk <madicken.munk(a)gmail.com> > Message-ID: > <CALO3=5GXrH3i0MmmzHkcBSjYcc=FkbHA2=KGab= > GfNoRaK7ujg(a)mail.gmail.com> > Content-Type: text/plain; charset="UTF-8" > > Hi everyone! > > We are delighted to invite you to a yt development workshop at the > University of Illinois Urbana-Champaign, March 4-6 of 2019. Please > feel encouraged to pass this information on to others that may find it > interesting! > > Information on logistics and registration may be found at the workshop > website: > > http://yt-project.org/workshops/spring2019/ > > This workshop will be focused on extending existing functionality, > building collaborations with other software projects, and ingestion of > new types and classes of data into yt. > > The workshop will take place at the National Center for Supercomputing > Applications building on the north end of the UIUC campus. The NCSA > building is about a block away from the conference hotel and is next > door to a parking structure that offers metered all-day parking. There > are a number of food trucks nearby, a university-run cafeteria about 2 > blocks away, and a university business district with many good lunch > restaurants about a half a mile away. > > We are planning to offer funding for hotel and travel for those > requesting support. If you request funding, you will be notified of > available funds by February 16. Travel awards will be made in the > form of arranged lodging and airfare, with reservations being made by > the conference organizers. > > Best regards, > The Organizing Committee > > MT Campbell > Nathan Goldbaum > Madicken Munk > Matt Turk > Samantha Walkow > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > To unsubscribe send an email to yt-users-leave(a)python.org > > > ------------------------------ > > End of yt-users Digest, Vol 131, Issue 8 > **************************************** > -- *SK2* *"**Claiming that something can move faster than light is a good conversation-stopper in physics. People edge away from you in cocktail parties; friends never return phone calls. You just don’t mess with Albert Einstein.**"*

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yt-users July 2019