Loading...
Loading...
Browse all stories on DeepNewz
VisitHow much ultrapure water will JUNO use by March 31, 2025?
Less than 20,000 tonnes • 25%
20,000 to 25,000 tonnes • 25%
25,001 to 30,000 tonnes • 25%
More than 30,000 tonnes • 25%
Official reports from the Jiangmen Underground Neutrino Observatory or the Institute of High Energy Physics of the Chinese Academy of Sciences
China's JUNO Observatory, 700 Meters Underground, Begins Filling World's Largest Neutrino Detector with 100 Tonnes of Ultrapure Water
Dec 18, 2024, 07:45 AM
China's Jiangmen Underground Neutrino Observatory (JUNO), located 700 meters underground in Guangdong, has commenced the filling of its central detector with ultrapure water at a rate of 100 tonnes per hour. This marks a significant milestone in the construction of the world's largest transparent spherical neutrino detector. The facility aims to detect neutrinos, elusive particles that have been present since the Big Bang, and is considered a major scientific infrastructure project by the Institute of High Energy Physics of the Chinese Academy of Sciences. With this liquid injection phase officially underway, JUNO is set to advance research into these tiny cosmic particles, which possess an incredibly small mass.
View original story
Less than 25 tons • 25%
25-50 tons • 25%
50-100 tons • 25%
More than 100 tons • 25%
Less than 20% • 25%
20% to 30% • 25%
30% to 40% • 25%
More than 40% • 25%
Less than 50,000 gallons • 25%
50,000 to 100,000 gallons • 25%
100,001 to 150,000 gallons • 25%
More than 150,000 gallons • 25%
Human consumption • 25%
Fuel production • 25%
Scientific research • 25%
Other • 25%
10 billion cubic meters • 25%
11 billion cubic meters • 25%
12 billion cubic meters • 25%
More than 12 billion cubic meters • 25%
Yes • 50%
No • 50%
Less than 10 million • 25%
10-20 million • 25%
21-30 million • 25%
More than 30 million • 25%
New AI course • 25%
AI teaching platform • 25%
AI tutoring service • 25%
Other • 25%
Resource limitations • 25%
Technical malfunctions • 25%
Other challenges • 25%
Data analysis issues • 25%