Excited to share the first results using Neural Simulation-Based Inference (NSBI) techniques applied to @ATLASexperiment data! We measure the elusive off-shell Higgs boson with 3.1x better observation sensitivity than standard (histogram) analysis techniques! A thread: (1/N)
Physicists at the ATLAS Experiment at @CERN release a new study of the Higgs boson interacting with top quarks! 🔍
Studies of this rare process can give us insight into the origin of mass. Check out our new briefing to more⤵️ https://t.co/AjDnj6CnQD
Come join us! If you have questions you'd like to ask a potential future colleague, please feel free to get in touch. Lots of interesting topics to work on!
The @KyleCranmer lab at @UWMadison is seeking a postdoctoral research associate to pursue research at the intersection of data science and particle physics. The position could be based either at @CERN or at the Data Science Institute in Madison. https://t.co/7H2in8llzf
📈More than #OpenData, CMS continues to move towards #OpenScience 💪
🎉The statistical analysis tool used to find the #Higgs boson, along with the full statistical model and the data used to make the measurements are now available to all! 🎉
▶️ https://t.co/61zkFCH0bH... @CERN
The ATLAS Collaboration celebrates the International Day of #WomenInScience! The collaboration stands with all young women and girls who want to pursue a career in STEM. Here are just some of the women of our collaboration, who are working to push the boundaries of our knowledge.
Today's the day! The 2023 #pyhf Users and Developers Workshop begins at CERN at 10:00 CET! We're looking forward to a great week of community interaction, discussion, and development. 🚀
https://t.co/J3k1jWgktZ
@Giles_C_Strong@GregorKasieczka@pietrovischia It is! Marcel also wrote an AGC implementation using columnflow (which uses law / luigi): https://t.co/NsMnQ0sN1q. Adoption of such workflow management tools is an active area of discussions and ongoing work.
@phi_nate It can be more readable in my opinion to not use numbers with the lowest level subsection, as you are typically still close enough to a higher level (with numbers) for orientation. (Unless those subsections are still multiple pages long.)
Now that we're back from the break at #PyHEP2022, we have a talk on end-to-end physics analysis with Open Data: the Analysis Grand Challenge by @alheld_. https://t.co/UAc3Qt9xGo https://t.co/k2Rb2NhkEs
@HEPfeickert@iris_hep Thanks for the kind words! I am grateful to be able to showcase this project, which is made possible by the many people working on the facilities, services, and libraries we are using.
The call for abstracts and registration for #PyHEP2022 is open! The workshop will be online from 12-16, September 2022, registration is free, and we're excited to share new work in the HEP Python community with you. 🐍 Register now! https://t.co/vgD2nSaWDm
🚨 !! Hiring !! 🚨I'm excited to open up both Postdoc and PhD positions to work with me @TUM on Physics and ML/Data Science in Particle Physics with the @ATLASexperiment. Please share widely and/or DM me for details!
https://t.co/raisDbtysg
https://t.co/w0J8oUeyCp