Black hole image computed with Sage

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Eric Gourgoulhon

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Apr 9, 2019, 5:22:03 AM4/9/19
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Hi All,

As you may have heard in the news, the Event Horizon Telescope collaboration will release tomorrow the very first observed image of the close vicinity of a black hole:

In connection with this event, you may find a simulated black hole image, entirely computed with SageMath by Florentin Jaffredo, at
The Jupyter notebook generating the image is

The computation relies on the integration of lightlike geodesics in a Lorentzian manifold that has been implemented in SageMath by Karim Van Aeslt and Florentin Jaffredo:

As a side note, the notebook runs well with both Python2 and Python3 versions of SageMath (>= 8.5).

Best wishes,

Eric.

E. Madison Bray

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Apr 9, 2019, 7:47:57 AM4/9/19
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Very cool! Thank you for pointing it out.
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Michael Orlitzky

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Apr 9, 2019, 8:34:07 AM4/9/19
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On 4/9/19 5:22 AM, Eric Gourgoulhon wrote:
> Hi All,
>
> As you may have heard in the news, the Event Horizon Telescope
> collaboration will release tomorrow the very first observed image of the
> close vicinity of a black hole:
> https://eventhorizontelescope.org/blog/media-advisory-first-results-event-horizon-telescope-be-presented-april-10th
>

They should re-post that to social media... I'm pretty sure everyone
else ignored the "photo of a black hole" announcement on April 1st just
like I did.

Travis Scrimshaw

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Apr 9, 2019, 11:52:39 PM4/9/19
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Very cool! Thank you for pointing it out.

+1

 
On Tue, Apr 9, 2019 at 11:22 AM Eric Gourgoulhon <egourg...@gmail.com> wrote:
>
> Hi All,
>
> As you may have heard in the news, the Event Horizon Telescope collaboration will release tomorrow the very first observed image of the close vicinity of a black hole:
> https://eventhorizontelescope.org/blog/media-advisory-first-results-event-horizon-telescope-be-presented-april-10th
>
> In connection with this event, you may find a simulated black hole image, entirely computed with SageMath by Florentin Jaffredo, at
> https://sagemanifolds.obspm.fr/gallery.html
> The Jupyter notebook generating the image is
> https://nbviewer.jupyter.org/github/sagemanifolds/SageManifolds/blob/master/Notebooks/SM_black_hole_rendering.ipynb
>
> The computation relies on the integration of lightlike geodesics in a Lorentzian manifold that has been implemented in SageMath by Karim Van Aeslt and Florentin Jaffredo:
> http://doc.sagemath.org/html/en/reference/manifolds/sage/manifolds/differentiable/integrated_curve.html
>
> As a side note, the notebook runs well with both Python2 and Python3 versions of SageMath (>= 8.5).
>
> Best wishes,
>
> Eric.
>
> --
> You received this message because you are subscribed to the Google Groups "sage-devel" group.
> To unsubscribe from this group and stop receiving emails from it, send an email to sage-...@googlegroups.com.
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