A window to new physical world
The CEPC is a large international scientific facility proposed by the Chinese particle physics community in 2012. The project, to be hosted in China in a circular underground tunnel of approximately 100 kilometers in circumference, is a double-ring collider with electron and positron beams circulated in opposite directions in separate beam pipes, and the detectors are installed at two interaction points, according to the CAS.
The CEPC's "Technical Design Report" has gone through international review and was officially published in December, 2023. Being able to independently design such a large scientific facility demonstrates Chinese scientists' capabilities, according to Wang.
In the next step, the scientists will proceed with the engineering design and integrate the completed components, according to Wang. "We have completed the construction of a single prototype, and the next step is to figure out how to mass-produce individual products. In addition, we will continue to conduct in-depth research on some key technical details to ensure that our facility achieves optimal performance and cost-effectiveness."
It will take about three more years before the CEPC can begin actual construction, with the entire construction period lasting approximately 10 years, Wang noted.
The location for the CEPC has not yet been decided, according to Wang. "The ideal construction site should meet the following conditions: first, geological conditions, the CEPC should be built on intact and solid underground rock. Second, the construction site of the CEPC should consider factors such as transportation conditions, humanistic environment and educational environment, as the CEPC will serve as an international research base in the future, it should have an open environment that attracts talents from various countries and regions to work there," Wang explained.
The CEPC project will reportedly cost 36 billion yuan ($4.9 billion) and will have a circumference of 100 kilometers, with center-mass energy of up to 240 giga electron-volts, both setting a world record.
The goal of the CEPC is to build a high-luminosity Higgs factory. The existing standard model of physics is imperfect and has many inconsistencies, we need to find the fundamental reasons for them and Higgs is believed by global physicists to be the best window to find these loopholes, Wang explained.
In terms of controversies over the project, Wang responded that "in terms of science, I think we have made relevant issues very clear; in terms of techniques, we have proven through a large amount of experimental data, prototypes and the high-energy synchrotron radiation light source we are building in Huairou, that we have the ability to design and construct such a large scientific facility."
As to the cost, Wang stressed that CEPC is a facility to be used by the whole community of high-energy physics. There will be thousands of scientists working for decades. Considering this, the average investment per scientist per year would be far from being high. "Thousands of high-energy physicists are willing to invest all their energy, funds and time in a single facility, the average cost will not be higher than that of other research fields," he said.
AI Photo:VCG
'It relies on human intelligence to drive scientific progress'
In recent years, the rapid development of artificial intelligence (AI) technologies and products have created a stir around the world, especially after the release of the up-to-one-minute-long realistic videos created by the text-to-video AI generator Sora in early February.
According to OpenAI's explainer, Sora is capable of generating complex scenes with accurate details, including multiple characters, specific types of movements, themes and backgrounds. It understands not only what the user requests in the prompts, but also how these things exist in the physical world.
In fact, there has been a long-existing debate over whether AI can really understand - rather than imitate - physical laws and whether they can help discover new laws.
As a top physicist in China, Wang said it may be difficult for AI to break this barrier.
The most fundamental cornerstone of AI technology is the ability to predict the future to some extent through learning, but this so-called prediction is linear and based on existing knowledge. However, physics rules, especially new discoveries and concepts, are not simple extension of existing knowledge and data, Wang said.
After all it still requires scientific research and human intelligence to drive scientific progress, Wang said. (Global Times)
