Understanding how light travels through various materials is essential for many fields, from medical imaging to manufacturing. However, due to their structure, materials often show directional differences in how they scatter light, known as anisotropy. This complexity has traditionally made it difficult to accurately measure and model their optical properties. Recently, researchers have developed a new technique that could transform how we study these materials.
A breakthrough in quantum technology research could help realize a new generation of precise quantum sensors that can operate at room temperature.
TU Wien (Vienna) has succeeded in generating laser-synchronized ion pulses with a duration of well under 500 picoseconds, which can be used to observe chemical processes on material surfaces. The work has been published in Physical Review Research.
In 2023, the ATLAS collaboration, which provided its first W boson mass measurement in 2017, released an improved measurement based on a reanalysis of proton–proton collision data from the first run of the LHC. This improved result, 80,366.5 MeV with an uncertainty of 15.9 MeV, lined up with all previous measurements except the CDF measurement, which remains the most precise to date, with a precision of 0.01%.
The CMS experiment has now contributed to this global endeavor with its first W boson mass measurement. The keenly anticipated result, 80,360.2 with an uncertainty of 9.9 MeV, has a precision comparable to that of the CDF measurement and is in line with all previous measurements except the CDF result.
“The wait for the CMS result is now over. After carefully analyzing data collected in 2016 and going through all the cross checks, the CMS W mass result is ready,” says outgoing CMS spokesperson Patricia McBride. “This analysis is the first attempt to measure the W mass in the harsh collision environment of the second running period of the LHC. And all the hard work from the team has resulted in an extremely precise W mass measurement and the most precise measurement at the LHC.”
“What got you into astrophysics?” It’s a question I’m often asked at outreach events, and I answer by pointing to my early passion for exploring the biggest questions about our universe. Well, along with seeing Star Wars at an impressionable age.
After about 6 prompts, ChatGPT o1’s preview and mini create a running version of the code described from the methods section of my research paper. I do want to emphasize that while the skeletal code does emulate what my code does, it did use its own synthetic data I asked for it to create as opposed to real astronomical data that would be used in a real paper. Nevertheless, the potential it has is incredible, to effectively accomplish what I struggled for about 10 months in my first year of my PhD. I am excited to apply o1 for other use cases. Thank you to everyone who tuned in live last night! #ai #openaio1 ##chatgpt
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Posted in futurism
Kolmogorov-Arnold Transformer.
Xingyi Yang, Xinchao Wang National University of Singapore 2024 https://arxiv.org/abs/2409.10594 code: https://github.com/Adamdad/kat.
This study introduces the Kolmogorov–Arnold Transformer (KAT), a novel architecture that integrates Kolmogorov-Arnold Networks (KANs)…
Contribute to Adamdad/kat development by creating an account on GitHub.
Posted in robotics/AI
SambaNova Systems has just unveiled a new demo on Hugging Face, offering a high-speed, open-source alternative to OpenAI’s o1 model.
This demonstration is important because it shows that freely available AI models can…
SambaNova challenges OpenAI’s o1 model with Llama 3.1-powered demo on HuggingFace https://venturebeat.com/ai/sambanova-challenges-openais-o1-m…ggingface/
SambaNova Systems has just unveiled a…
Some recent dark matter experiments have begun employing levitated optomechanical systems. Kilian et al. explored how levitated large-mass sensors and dark matter research intersect.
Levitated sensors are quantum technology platforms that use magnetic fields, electric fields, or light to levitate and manipulate particles, which become very sensitive to weak forces. These sensors are especially well suited for detecting candidates in regimes where current large-scale experiments suffer limitations, such as ultralight and certain hidden-sector candidates.
The authors discussed how these advantages make levitated sensors, including optically trapped silica nanoparticles, magnetically trapped ferromagnets, and levitated superconducting particles, ideal for detecting different dark matter candidates.
