Top Tweets for #colliderphysics
On Friday, Kohei Kamada from Tokyo University spoke about optimal transport applications in #colliderphysics and #darkmatter #astrophysics. Join us weekly for #particlephysics seminars!
@UCIPhysSci
#Physics

Join us on Wednesday and Friday for particle physics seminars, covering #DarkMatter annihilations around primordial #BlackHoles, and optimal transport applications in #ColliderPhysics and dark matter #Astrophysics!
@UCIPhysSci

Excellent explanation by @RosePastore, Gizmodo, what the odderon discovery, based on data collected at @CERN and @Fermilab, really means. Great article. I hope Christophe Royon and his colleagues get to have their party. #colliderphysics
https://t.co/SVElOKHEaU
The next big thing: the use of graph neural networks to discover particles: https://t.co/eTK3HTOd1v via @Fermilab
#CMS #colliderphysics #computing #LargeHadronCollider #GNN #AI
The next big thing:
the use of graph neural networks to discover particles
https://t.co/e8dBqd9sJ5 #CMS #colliderphysics #computing #LargeHadronCollider
Had a lovely talk yesterday by Priscilla Pani from @desy about the status of DM Collider searches! ๐ค
(and she gave a small preview of my @belle2collab specific talk coming up this afternoon)
#darkmatter #womeninSTEM #colliderphysics #taup2019

Sticking with the standard model theme - physics has a type: tiny, fast, and hard to find. #ColliderPhysics

Review article published in @FrontPhysics Lepton Number Violation: Seesaw Models and Their Collider Tests https://t.co/5402RHeFCn #ColliderPhysics, #SeesawMechanisms

In my previous (thesis) experiment, the trigger selection was also always a battleground. It becomes tough when interesting collisions need to be thrown away and choices/priorities need to be made. #colliderphysics problems https://t.co/VJFNhk6c6C
Do you want to know what is the most discussed topic within physics coordination at one of the LHC big experiments? the answer is #Trigger.
We have so much data (real #BigData) that we cannot keep it all, we need to throw away enormous chunks of it.
#dataproblems
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