#jupyter_notebook#mujoco#physics#robotics
MuJoCo is a powerful physics engine that helps researchers and developers simulate complex movements and interactions, especially in robotics and machine learning. It provides fast and accurate simulations, which are crucial for understanding how objects move and interact with their environment. MuJoCo is beneficial because it allows users to create realistic models of multi-joint systems, compute both forward and inverse dynamics, and even handle contacts and constraints effectively. This makes it a valuable tool for those working in fields like robotics, biomechanics, and animation[1][2][5].
https://github.com/google-deepmind/mujoco
🪐 In 2022, scientists used data from the Atacama Cosmology Telescope in Chile to make the sharpest-ever map of the cosmic microwave background’s subtle temperature patterns. This ancient light, which blankets galaxies like our Milky Way, holds whisper-faint traces left by the first matter clumps—revealing how gravity, even in the universe’s earliest moments, started pulling atoms together to form all the cosmic structures we see today. ✨
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🪐 The cosmic microwave background (CMB) is a faint glow that fills the universe, left over from when the cosmos was just 380,000 years old. Tiny temperature differences in the CMB, first mapped in detail by the Planck satellite, reveal subtle "hot" and "cold" spots—clues to how galaxies, like the Milky Way and Andromeda, began to form from small ripples in the early universe. ✨
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🪐 The cosmic microwave background contains faint "Sunyaev-Zel’dovich effects," which happen when the ancient microwave light passes through hot gas in galaxy clusters like the Bullet Cluster. This process boosts the energy of some photons (light particles), leaving tiny shadows in the background glow—allowing astronomers to map both distant galaxy clusters and the hot plasma between galaxies by studying these subtle marks in the oldest light in the universe. ✨
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