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This week at Hokudai University, +Britton Smith , +John Wise , +Elizabeth Tasker and +Matthew Turk are holding an Enzo Workshop.  Today it got off to a good start!

http://astro3.sci.hokudai.ac.jp/~tasker/enzo-workshop-2013/
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Dev Hangout
Mon, October 7, 2013, 12:30 PM

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The +StarTalk Radio show just had an episode on dark matter and dark energy, and the image used was from an Enzo simulation (link to viz http://bit.ly/15M02y7).
Dark matter is the longest unsolved problem in astrophysics. Find out what we know – and what we don’t – from your own personal astrophysicist, Neil deGrasse Tyson.
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Enzo 2.2

Nov. 30, 2012

We are proud to announce the public release of Enzo version 2.2. This intermediate release contains several new physics modules, reorganized and updated documentation, revamped answer testing, improvements to code infrastructure, as well as numerous bug fixes. In a little bit more detail:

1. New physics capabilities — (a) Thermal and chemical feedback from Type Ia supernovae, with mass loss and luminosity fits provided by K. Nagamine; (b) H2-regulated star formation, in which the star formation rate is proportional to the density of molecular hydrogen (determined from Krumholz, McKee, & Tumlinson 2009), rather than total gas density.

2. Upgrades to the Enzo Answer Testing Framework — Includes both functional improvements and vastly improved documentation. The results of two test suites ("quick" and "pull") have been uploaded to an Amazon Cloud instance, allowing users to compare to an Enzo Community "gold standard". Alternatively, answer testing can also be done by comparing to local results.

3. Improved Documentation — (a) Descriptions of 175 previously undocumented parameters; (b) Parameters have been broken up into groups; (c) Brief explanations of the functionality provided by (most) Enzo source files; (d) Description of the new Enzo performance timers; (e) Examples of how to debug Enzo.

4. Code infrastructure improvement — All Fortran routines have been modified to explicitly specify the type at compile time, eliminating the need for compiler flags to ensure 64-bit precision.

5. Timing and performance measurement and plotting tools — Support for simple, lightweight measurements for the timing and performance of Enzo. This allows one to examine which functions are using the majority of the simulation runtime, and how this varies across multiple processors.

6. Bug Fixes - see the Enzo 2.2 Changelog at http://enzo-project.org/ReleaseNotes.html


With this release we continue our efforts to consolidate The Enzo Project's web presence, with the goal of lowering the barrier to entry for new users and easing further code development:

* Enzo's main webpage continues to be http://enzo-project.org. Links and information can be found here for both developers and general users.

* Both stable (https://bitbucket.org/enzo/enzo-stable) and development (https://bitbucket.org/enzo/enzo-dev) versions of the Enzo code are now hosted on Bitbucket.

* For news and updates please follow our google+ page: The Enzo Project (https://plus.google.com/115923030596894217717)


The Enzo Development Team
Enzo is provided through several channels: a public repository of code that is under active development, as well as a stable channel that is carefully curated and that corresponds to releases. Have a ...
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We had a developer meeting today to touch base and discuss outstanding PRs and current projects.
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A few new renders of OVI, OVII, and OVIII.  Data is from simulations run using +The Enzo Project and the renders we made using +yt Project.
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We've just submitted and posted our method paper, and announced the release of version 2.3 http://enzo-project.org/ReleaseNotes.html!  Congratulations to the development team!  Also check out the paper repository for reproducing figures in the paper: https://bitbucket.org/enzo/enzo-method-paper
Authors: The Enzo Collaboration: Greg L. Bryan, Michael L. Norman, Brian W. O'Shea, Tom Abel, John H. Wise, Matthew J. Turk, Daniel R. Reynolds, David C. Collins, Peng Wang, Samuel W. Skillman, Britton Smith, Robert P. Harkness, James Bordner, Ji-hoon Kim, Michael Kuhlen, Hao Xu, Nathan Goldbaum ...
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If you use Python for Science, please take 30 seconds to fill out this survey for +Thomas Robitaille (and we at Chandra would be interested too, as I'm sure STScI, ALMA, ... would be too).
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Your Scientific Python installationThe purpose of this poll is to understand what python, numpy, and scipy versions scientists are currently using for everyday work. One application is to understand which versions should be supported by other scientific packages. For questions about the poll, email me at thomas.robitaille@gmail.com
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In their circles
24 people
Have them in circles
40 people
Hao Xu's profile photo
JC Passy's profile photo
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Marcel Zemp's profile photo
Markus Haider's profile photo
david collins's profile photo
J. S. Oishi's profile photo
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Community-developed adaptive mesh refinement simulation code for rich, multi-physics hydrodynamic astrophysical calculations