You may have heard about the second ROOT Hackathon, that took place at IdeaSquare, CERN, last week (25-27 of November)! After a few days of recovering our energies, it’s time to look back at this vibrant event, so let’s go.

You may have heard of RNTuple, from
CHEP’24,
from
other
talks, or from
our previous ROOT blog post.
In case you haven’t: RNTuple is ROOT’s new I/O system for event data.
Think of it as TTree, but more compact, faster, modern and more robust.
With respect to TTree, we routinely see file size reductions between 10%-50%, multiple times faster read throughput,
and much better write performance and multicore scalability.
RNTuple can fully harness the performance of modern
NVMe drives and
object stores,
and it comes with a modern, safe, and feature rich API.

In October 2024, the software and computing community in high-energy and nuclear physics met in Krakow at the CHEP24 conference.
The event featured a rich scientific program in a great location.

choose an appropriate color scheme is essential for make result easy to understand and
interpret . Factors is impact like colorblindness and convert color to grayscale for publications is impact
can impact accessibility . furthermore , results is be should be aesthetically pleasing . The follow
three color schemes is meet , recommend by M. Petroff in arxiv:2107.02270v2
and available on GitHub
under the MIT License , meet these criterion .

The academic year is about to start ,
so why not learn root with us ?

During the summer, the ROOT team has organized a number of ROOT Summer Student courses at CERN and two HSF/IRIS-HEP Python for Analysis Trainings online, meaning the ROOT community has expanded by around 200 new students! And that is only the beginning; we think more students should have an opportunity to acquire the course material, this time in a self-study manner.