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[NetEase Smart News, January 14] The next-generation telescopes are set to revolutionize how we observe the universe. These advanced instruments will scan millions of stars and generate massive amounts of data, which astronomers must then analyze. However, with such vast datasets, traditional methods are no longer sufficient. As a result, many astronomers are turning to artificial intelligence to help process and interpret this information more efficiently.
As Derek Bussig from Florida International University explains, "Because we can't handle these data streams effectively, we must change the way we work." With the rapid development of AI, especially in image recognition and computing power, these tools are becoming essential for researchers across the field.
One example is the Large Synoptic Survey Telescope (LSST) being built in Chile. This powerful telescope will use a camera the size of a car to capture images of the entire southern sky every few days. In total, it's expected to gather over 50 million gigabytes of raw data—far more than any previous project.
Donald Lee Brown, a graduate student at the University of Kansas, adds that "some new methods have emerged in the past five to ten years, either increasing speed or improving accuracy." A recent analysis shows that the number of astronomical papers focusing on machine learning has increased fivefold in just five years.
How do astronomers use artificial intelligence? Here are three key applications:
1. Coordination with Telescopes
Tom Waitland from Los Alamos National Laboratory explains that large telescopes often detect "transient celestial events"—brief phenomena that could signal something new, like a gamma-ray burst. These events, which can last less than a minute, need to be identified, classified, and followed up quickly. With telescopes like LSST detecting up to 50,000 such events each night, human processing is no longer feasible. "Artificial intelligence is needed to keep up," says Waitland.
2. Data Analysis
In the coming years, NASA’s new transit satellite from Japan will return full images of nearly half the sky every 30 minutes, providing data on 20 million stars. "The future data will be more than we've ever seen before," says Bussig. AI can classify these stars, group similar ones, and flag the 1% that require human attention. According to Lee Brown, "Neural networks can extract star temperatures and metallicity faster and more accurately than before—up to a billion times faster."
3. Data Mining
Joshua Pique from the Space Telescope Science Institute points out that much of the data collected is discarded, even though it may contain valuable hidden insights. He is developing a convolutional neural network to classify astronomical images and extract features from diffuse structures like gas clouds. This helps astronomers compare different cosmic formations and uncover new patterns.
An important question remains: "How do you write software to discover things you don’t yet know how to describe?" asks Vestrand. "For rare events, what do you do when they don’t fit known patterns?" This is where real breakthroughs happen—because discovery lies in the unknown.
As AI continues to evolve, its role in astronomy will only grow, helping scientists unlock the secrets of the universe in ways never before imagined.
The 48V Lifepo4 Battery, or 48V lithium iron phosphate battery, is a type of lithium-ion battery that uses lithium iron phosphate (LiFePO4) as a positive electrode material and has a nominal voltage of 48V. This kind of battery has a wide range of applications in many fields because of its unique performance and advantages. The following is a detailed description of its class purpose:
First, basic attributes
Voltage: 48V, suitable for applications that require a high voltage source.
Technology type: Lithium iron phosphate battery, with high safety, long life, high energy density and good environmental adaptability.
Second, application scenarios
Electric vehicles: 48V lithium iron phosphate batteries are widely used in electric bicycles, electric motorcycles, electric tricycles and some electric vehicles to provide lasting power support for them.
Energy storage system: In renewable energy systems such as solar energy storage and wind energy storage, 48V lithium iron phosphate batteries are used as important energy storage components to convert renewable energy into electricity and store it for subsequent use.
Industrial equipment: In industrial automation, robots, power tools and other fields, 48V lithium iron phosphate batteries also play an important role, providing stable and reliable power support for various industrial equipment.
UPS power supply: For data centers, communication base stations and other places that require high-reliability power supply, 48V lithium iron phosphate batteries are used as backup power supplies for the UPS system to ensure that the power supply can continue when the mains power is lost.
Third, performance characteristics
High safety: Lithium iron phosphate material has good thermal stability and chemical stability, so that lithium iron phosphate battery in overcharge, overdischarge, short circuit and other extreme conditions can still maintain a high safety.
Long life: The cycle life of lithium iron phosphate batteries is long, which can meet the needs of long-term use, and reduce the frequency and cost of replacing batteries.
High energy density: Compared to other types of batteries, lithium iron phosphate batteries have a high energy density and are able to store more electrical energy in the same volume or weight.
Good environmental adaptability: lithium iron phosphate batteries can work in a wide temperature range, and no pollution to the environment, in line with environmental protection requirements.
4. Technical parameters (Take a specific product as an example)
Please note that the following technical parameters may vary from product to product:
Nominal voltage: 48V (the actual voltage may vary depending on the charging and discharging state)
Nominal capacity: According to the specific product, such as 10Ah, 50Ah, 100Ah, etc
Charging voltage: Generally around 54.6V (specific value may vary by product)
Discharge cut-off voltage: Generally about 42V (the specific value may vary by product)
Charge current: Different sizes of charge current are supported, depending on the design of the charger and the state of the battery
Discharge current: Also supports different sizes of discharge current to meet the needs of different application scenarios
Operating temperature range: a wide operating temperature range, usually including charging temperature, discharge temperature and storage temperature three intervals
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