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<title>yt hub | Projects</title>
<link>http://hub.yt-project.org</link>
<description>yt Hub Projects</description>
<pubDate>Mon, 23 Apr 2012 08:50:09 PDT</pubDate>
<language>en</language>
<item>
	<title><![CDATA[rprof2d: Simple radial profiles of 2D images]]></title>
	<link>http://hub.yt-project.org/AnalysisAndVisualization/rprof2d-simple-radial-profiles-of-2d-images/</link>
  <source url="https%3A%2F%2Fsamskillman%40bitbucket.org%2Fsamskillman%2Frprof2d"><![CDATA[rprof2d: Simple radial profiles of 2D images]]></source>
	<description><![CDATA[This is just a simple tool that uses numpy to create a radial profile of a 2d image, optionally weighted by a second image.  Takes as input the image, central x and y pixel locations, and a few keyword arguments.  Requires numpy.  Needs to be placed in your PYTHONPATH to be used. ]]></description>
	<pubDate>Mon, 23 Apr 2012 08:50:09 PDT</pubDate>
	<author>samskillman</author>
	<category>Analysis &amp; Visualization</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/AnalysisAndVisualization/rprof2d-simple-radial-profiles-of-2d-images/</guid>
</item>

<item>
	<title><![CDATA[Using Rockstar & consistent-trees with yt ]]></title>
	<link>http://hub.yt-project.org/AstrophysicalUtilities/using-rockstar-consistent-trees-with-yt-/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fjuxtaposicion%2Fyt-rockstar-dumb"><![CDATA[Using Rockstar & consistent-trees with yt ]]></source>
	<description><![CDATA[This is a dumb method (compared to https://bitbucket.org/MatthewTurk/yt-rockstar) of getting yt particles into Rockstar. It uses a temporary Gadget file as a vessel for transporting dark matter particles into Rockstar. consistent-trees is also run afterwards. The whole shebang is trivially parallelized.<br /><br /> ]]></description>
	<pubDate>Tue, 10 Apr 2012 15:18:07 PDT</pubDate>
	<author>cemoody</author>
	<category>Astrophysical Utilities</category>
	<votes>0</votes>
	<guid>http://hub.yt-project.org/AstrophysicalUtilities/using-rockstar-consistent-trees-with-yt-/</guid>
</item>

<item>
	<title><![CDATA[Enhance your renderings]]></title>
	<link>http://hub.yt-project.org/AnalysisAndVisualization/enhance-your-renderings/</link>
  <source url="https%3A%2F%2Fsamskillman%40bitbucket.org%2Fsamskillman%2Frendering_enhancement"><![CDATA[Enhance your renderings]]></source>
	<description><![CDATA[This script takes in a list of png images, renormalized the colors, and outputs an enhanced version. ]]></description>
	<pubDate>Thu, 26 Jan 2012 13:17:43 PST</pubDate>
	<author>samskillman</author>
	<category>Analysis &amp; Visualization</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/AnalysisAndVisualization/enhance-your-renderings/</guid>
</item>

<item>
	<title><![CDATA[Example Fisheye Rendering]]></title>
	<link>http://hub.yt-project.org/AnalysisAndVisualization/example-fisheye-rendering/</link>
  <source url="https%3A%2F%2Fsamskillman%40bitbucket.org%2Fsamskillman%2Fyt.example_fisheye_rendering"><![CDATA[Example Fisheye Rendering]]></source>
	<description><![CDATA[This is an example of how to use the MosaicFisheyeCamera to create a volume rendering to be projected on a dome. ]]></description>
	<pubDate>Tue, 17 Jan 2012 13:00:08 PST</pubDate>
	<author>samskillman</author>
	<category>Analysis &amp; Visualization</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/AnalysisAndVisualization/example-fisheye-rendering/</guid>
</item>

<item>
	<title><![CDATA[ngoldbaum / diskdyn_yt / overview — Bitbucket]]></title>
	<link>http://hub.yt-project.org/ytScripts/ngoldbaum-diskdyn-yt-overview-%E2%80%94-bitbucket-1/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fngoldbaum%2Fdiskdyn_yt%2F"><![CDATA[ngoldbaum / diskdyn_yt / overview — Bitbucket]]></source>
	<description><![CDATA[This a collection of analysis scripts and helper routines I've written to analyze my FLASH2.5 data.  This uses parallel_objects() to make frames and collect time series from thousands of simulation snapshots in parallel.  I use yt to interface with the raw data and access image frames using FixedResolutionBuffer.  The actual plots are done 'by hand' in matplotlib. ]]></description>
	<pubDate>Tue, 15 Nov 2011 17:00:13 PST</pubDate>
	<author>ngoldbaum</author>
	<category>yt Scripts</category>
	<votes>0</votes>
	<guid>http://hub.yt-project.org/ytScripts/ngoldbaum-diskdyn-yt-overview-%E2%80%94-bitbucket-1/</guid>
</item>

<item>
	<title><![CDATA[Fancy Multi-panel Plots]]></title>
	<link>http://hub.yt-project.org/ytScripts/fancy-multi-panel-plots/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fsamskillman%2Fplot_modifications"><![CDATA[Fancy Multi-panel Plots]]></source>
	<description><![CDATA[This repository contains a framework for making nice looking multi-panel images from projection and slices saved to an hdf5 file.  It also contains scripts for making projections and saving them to hdf5 files.  This is very useful for working with very large simulation data. ]]></description>
	<pubDate>Wed, 19 Oct 2011 20:00:43 PDT</pubDate>
	<author>britton</author>
	<category>yt Scripts</category>
	<votes>0</votes>
	<guid>http://hub.yt-project.org/ytScripts/fancy-multi-panel-plots/</guid>
</item>

<item>
	<title><![CDATA[Archive tools for NICS Kraken]]></title>
	<link>http://hub.yt-project.org/DataManagement/archive-tools-for-nics-kraken/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fbrittonsmith%2Fkraken_archive_tools"><![CDATA[Archive tools for NICS Kraken]]></source>
	<description><![CDATA[These are tools for archiving multiple simulation datasets on NICS Kraken, including a script for archiving a single data dump into multiple files.  This is useful with extremely large datasets for which a single tar file is unreasonable.  Also included is an example batch script for using the hpss queue for archiving. ]]></description>
	<pubDate>Fri, 30 Sep 2011 08:50:41 PDT</pubDate>
	<author>britton</author>
	<category>Data Management</category>
	<votes>0</votes>
	<guid>http://hub.yt-project.org/DataManagement/archive-tools-for-nics-kraken/</guid>
</item>

<item>
	<title><![CDATA[LChier_to_standard]]></title>
	<link>http://hub.yt-project.org/ytScripts/lchier-to-standard/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fsamskillman%2Flchier_to_standard"><![CDATA[LChier_to_standard]]></source>
	<description><![CDATA[Used to convert the .hierarchy file from the "Santa Fe Lightcone" simulation to the standard format read in by yt. ]]></description>
	<pubDate>Wed, 14 Sep 2011 13:49:07 PDT</pubDate>
	<author>samskillman</author>
	<category>yt Scripts</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/ytScripts/lchier-to-standard/</guid>
</item>

<item>
	<title><![CDATA[Paramdiff for diffing parameter files.]]></title>
	<link>http://hub.yt-project.org/SimulationManagement/paramdiff-for-diffing-parameter-files--1/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fdcollins4096%2Fparamdiff"><![CDATA[Paramdiff for diffing parameter files.]]></source>
	<description><![CDATA[paramdiff.py <br />Formatted diff for unordered parameter files.<br /><br />Order independent parameter files are a fact of life in computational<br />computing.  Unfortunately, two parameter files that have significantly<br />different histories may have vastly different orders of elements, but differ<br />by only a single important parameter.  paramdiff gives you the answer you want. ]]></description>
	<pubDate>Mon, 12 Sep 2011 09:59:41 PDT</pubDate>
	<author>dcollins4096</author>
	<category>Simulation Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/SimulationManagement/paramdiff-for-diffing-parameter-files--1/</guid>
</item>

<item>
	<title><![CDATA[mydb - View your yt datasets online]]></title>
	<link>http://hub.yt-project.org/ytScripts/mydb-view-your-yt-datasets-online/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fsskory%2Fmydb"><![CDATA[mydb - View your yt datasets online]]></source>
	<description><![CDATA[This is simple and quickly written script which will allow you to view all your datasets that you've ever touched with yt, from anywhere. Given your AWS credentials, it will log you in and display the particulars of the datasets. You can perform searches with various filters to narrow down what is displayed. ]]></description>
	<pubDate>Fri, 09 Sep 2011 10:52:38 PDT</pubDate>
	<author>sskory</author>
	<category>yt Scripts</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/ytScripts/mydb-view-your-yt-datasets-online/</guid>
</item>

<item>
	<title><![CDATA[toomre.py]]></title>
	<link>http://hub.yt-project.org/ytScripts/toomre-py/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fngoldbaum%2Ftoomre.py"><![CDATA[toomre.py]]></source>
	<description><![CDATA[Calculates the Toomre Q of a disk in an isolated galaxy simulation.  This assumes that the angular momentum of the disk is aligned with the x axis. ]]></description>
	<pubDate>Thu, 08 Sep 2011 23:35:48 PDT</pubDate>
	<author>ngoldbaum</author>
	<category>yt Scripts</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/ytScripts/toomre-py/</guid>
</item>

<item>
	<title><![CDATA[yt.profiling_support]]></title>
	<link>http://hub.yt-project.org/ytScripts/yt-profiling-support/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2FMatthewTurk%2Fyt.profiling_support"><![CDATA[yt.profiling_support]]></source>
	<description><![CDATA[Profiling scripts and support for yt ]]></description>
	<pubDate>Fri, 02 Sep 2011 04:40:35 PDT</pubDate>
	<author>mturk</author>
	<category>yt Scripts</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/ytScripts/yt-profiling-support/</guid>
</item>

<item>
	<title><![CDATA[until]]></title>
	<link>http://hub.yt-project.org/SimulationManagement/until/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fjwise77%2Funtil"><![CDATA[until]]></source>
	<description><![CDATA[This script reads all of the parameter files in this directory and its subdirectories to give the user a list of redshifts, code times, universe ages, and time until the final output. ]]></description>
	<pubDate>Thu, 01 Sep 2011 06:08:01 PDT</pubDate>
	<author>jwise</author>
	<category>Simulation Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/SimulationManagement/until/</guid>
</item>

<item>
	<title><![CDATA[nanoProgress]]></title>
	<link>http://hub.yt-project.org/SimulationManagement/nanoprogress/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fjwise77%2Fnanoprogress"><![CDATA[nanoProgress]]></source>
	<description><![CDATA[nanoProgress parses through a file with enzo's STDOUT for the timesteps on each AMR level.  It starts with the last topgrid timestep.  After collecting all of these data, it tells the user (a) the total code time elapsed on each level, (b) average timestep, (c) number of timesteps, and (d) total number of timesteps required to finish a topgrid timestep.  It also gives the redshift, code time, topgrid dt, and cycle number of the last topgrid timestep. ]]></description>
	<pubDate>Thu, 01 Sep 2011 05:40:09 PDT</pubDate>
	<author>jwise</author>
	<category>Simulation Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/SimulationManagement/nanoprogress/</guid>
</item>

<item>
	<title><![CDATA[resubmit]]></title>
	<link>http://hub.yt-project.org/SimulationManagement/resubmit/</link>
  <source url="https%3A%2F%2Fchummels%40bitbucket.org%2Fchummels%2Fresubmit"><![CDATA[resubmit]]></source>
	<description><![CDATA[resubmit is a python script meant for use on NICS kraken with enzo jobs.  If you create a submission file for your enzo jobs, rather than qsub&#039;ing that submission file, run resubmit , and resubmit will monitor the job&#039;s progress.  When the job runs out of time, resubmit will restart it but use the most recent data output as its start point.  It will continue to do this until the sim is done, until the max_iterations are reached, or until you manually kill it.  Very useful for large jobs that take much longer than kraken&#039;s 24-hour job limit. ]]></description>
	<pubDate>Mon, 29 Aug 2011 18:55:01 PDT</pubDate>
	<author>chummels</author>
	<category>Simulation Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/SimulationManagement/resubmit/</guid>
</item>

<item>
	<title><![CDATA[TPFileConvert]]></title>
	<link>http://hub.yt-project.org/DataManagement/tpfileconvert/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fdevinsilvia%2Ftpfileconvert"><![CDATA[TPFileConvert]]></source>
	<description><![CDATA[Since tracer particle data from Enzo simulations are written out into streaming binary files, I've written a C++ script, TPFileConvert.C, that parses the raw binary data and converts it into HDF5 files so that the tracer particle information can be more easily analyzed.   ]]></description>
	<pubDate>Wed, 24 Aug 2011 14:36:35 PDT</pubDate>
	<author>devinsilvia</author>
	<category>Data Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/DataManagement/tpfileconvert/</guid>
</item>

<item>
	<title><![CDATA[inits_sort - Fix particles for multi-grid Enzo simulations]]></title>
	<link>http://hub.yt-project.org/SimulationManagement/inits-sort-fix-particles-for-multi-grid-enzo-simulations/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fsskory%2Finits_sort"><![CDATA[inits_sort - Fix particles for multi-grid Enzo simulations]]></source>
	<description><![CDATA[For multi-grid (aka nested) Enzo simulations, this script will move particles between the initial conditions files in order to prevent their loss when ring is run. ]]></description>
	<pubDate>Mon, 22 Aug 2011 19:03:00 PDT</pubDate>
	<author>sskory</author>
	<category>Simulation Management</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/SimulationManagement/inits-sort-fix-particles-for-multi-grid-enzo-simulations/</guid>
</item>

<item>
	<title><![CDATA[Stand-alone parallel HOP]]></title>
	<link>http://hub.yt-project.org/AnalysisAndVisualization/stand-alone-parallel-hop/</link>
  <source url="https%3A%2F%2Fbitbucket.org%2Fsskory%2Fparallel_hop"><![CDATA[Stand-alone parallel HOP]]></source>
	<description><![CDATA[A stand-alone version of parallel HOP. ]]></description>
	<pubDate>Mon, 22 Aug 2011 19:00:51 PDT</pubDate>
	<author>sskory</author>
	<category>Analysis &amp; Visualization</category>
	<votes>1</votes>
	<guid>http://hub.yt-project.org/AnalysisAndVisualization/stand-alone-parallel-hop/</guid>
</item>

<item>
	<title><![CDATA[Enzo Workshop Fall 2011]]></title>
	<link>http://hub.yt-project.org/News/enzo-workshop-fall-2011/</link>
  <source url="http%3A%2F%2Fcode.google.com%2Fp%2Fenzo%2Fwiki%2FEnzoWorkshopFall2011"><![CDATA[Enzo Workshop Fall 2011]]></source>
	<description><![CDATA[This fall there will be an Enzo workshop at Columbia University from October 12-15.  If you're interested in getting your hands dirty with Enzo, or learning about how to develop, please come by!  Email a developer to add your name to the wiki page if you can't add it yourself. ]]></description>
	<pubDate>Mon, 22 Aug 2011 10:24:28 PDT</pubDate>
	<author>mturk</author>
	<category>News</category>
	<votes>2</votes>
	<guid>http://hub.yt-project.org/News/enzo-workshop-fall-2011/</guid>
</item>

<item>
	<title><![CDATA[cyan: a Collection of Yt scripts to Analyze eNzo datasets]]></title>
	<link>http://hub.yt-project.org/ytScripts/cyan-a-collection-of-yt-scripts-to-analyze-enzo-datasets/</link>
  <source url="http%3A%2F%2Fwww.slac.stanford.edu%2F%7Emornkr%2FPictures%2Ftest%2Fcyan.py"><![CDATA[cyan: a Collection of Yt scripts to Analyze eNzo datasets]]></source>
	<description><![CDATA[cyan is an example of an advanced usage of yt, a collection of yt scripts to analyze serial enzo datasets across different ensembles.   The functionality includes: total mass, gas fraction by temperature, star formation rate, black hole accretion rate, density and temperature profile, probability distribution function, Kennicutt-Schmidt relation, and some other less advertised ones.   ]]></description>
	<pubDate>Sun, 21 Aug 2011 17:00:57 PDT</pubDate>
	<author>mornkr</author>
	<category>yt Scripts</category>
	<votes>2</votes>
	<guid>http://hub.yt-project.org/ytScripts/cyan-a-collection-of-yt-scripts-to-analyze-enzo-datasets/</guid>
</item>

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