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.

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