What this is all about.

   Note: 6/9/18 

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The Afterglow Project is currently on hold while I switch research focus.  I hope to return to development in the near future. But am currently spread too thin to continue.

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The Afterglow Project is the working title of an idea I have been sitting on for the better part of a year, now.   The main goal is to find a way to merge learning about a really cool, but obscure aspect of astrophysics, while doing cutting edge research at the same time.  

The project aims to create a thriving community of scientists and enthusiasts, all working to understand and model the large archive of gamma-ray burst afterglow data.  It also seeks to create a fun and interactive environment for understanding the physics behind them.

WR124  taken with Hubble in 1997.  Image authors:  Grosdidier, Moffat, Joncas, and NASA


  • written with a F/LOSS mindset



  • Designed to foster inspiration and innovation



  • Running cutting edge analytics right on the desktop



  • Purely in the pursuit of open and accessible knowledge


Citizen-science has never been more important.

Advocating for the basic sciences has always been an important, and often complex task.  Lately, it seems like it is not enough to share results with the public at large, but to get them involved in the methods.  The Afterglow Project will connect people from all over the world and teach them about the current theories, but also share the state of the art in modeling methods.

To that end, The Afterglow Project will provide access to interactive and informative videos, podcasts, applets, and community spaces to facilitate learning and comprehension.  Astrophysics is a very visual science and there are a lot of places within afterglow physics where interactivity can be integrated directly into the output of certain models.  Additionally, we are striving to have a high level of interactivity with the distributive computing project based on the original boxfit routine.  We want people involved and active in every step of the process, from data ingest to finalizing the parameters.

All code powering the Afterglow Project is open source.  The original boxfit routine can be found on the NYU afterglow page.  It was built and is maintained by H.J. van Eerten.  The scientific paper introducing it can be found here.

We are currently expanding on this codebase to create something that is GPU accelerated.  First on CUDA, and the on OpenCL.  This will allow anyone with a sufficiently modern computational setup to participate in the project.  There are currently some port hurdles coming from meshing the memory management schemes of the original program with the limits imposed by current GPUs.  This code will be available on the project github as soon as it is stable.  A complete rundown of the issues and progress can be found on the development blog.

Explore a bit further

Some of the things we are currently working on

The Current Proposal

Read the realtime plans and updates that are driving the development of The Afterglow Project.

coding

Development Blog

Come check out what weird problem is stumping us today.  Also check here for updates on product support and roll out.

math things

Videos and Podcasts

Come take a look at the first few pieces of educational content that we have put together. Provide feedback  if you would like.

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