The ATLAS Collaboration has released last week the results of a careful analysis of a large dataset of proton-proton collisions acquired during Run 2 of the Large Hadron Collider. This is a measurement of CP violation effects in the system of B hadrons.

Although LHC and ATLAS are things that readers of Science20 may be acquainted with, I realize that the previous 14-word sentence contains already a mention of at least four unknown entities to 99.99% of non specialists, so I suspect I have to open a parenthesis already now.

One of the most suprising results of the "Machine Learning for Jets" (but really, for particle physics in general) workshop I attended in New York City two weeks ago was the outcome of a challenge that the organizers had proposed to the participants: find a hidden signal of some new physics process in a dataset otherwise made up of some physics background, when no information on the new physics was given, nor on the model of the background.<\p>

The third "Machine Learning for Jets" workshop is ongoing these days at the Kimmel centre of New York University, a nice venue overlooking Washington Square park in downtown Manhattan. I came to attend it and remain up-to-date with the most advanced new algorithms that are been used for research in collider physics, as I have done last year. The workshop is really well organized and all talks are quite interesting, so this is definitely a good time investment for me.