Research starts with PhD students

Chapter 89 A feast of particle physics!
In particle collision experiments, there are some problems that many people know about but can only ignore.

Energy loss is one of them.

Energy loss is not defined as an "unknown physical phenomenon", but is attributed to the level of detection technology and interference from other factors. However, most people still believe that energy loss that cannot be explained is an unknown physical phenomenon.

The reason why this problem has not been studied is that science cannot explain it, that is, there is no theoretical support and no one knows how to study it.

To put it simply, energy loss means that there is a difference in the total energy data before and after the particle collision experiment.

For example, the energy before the collision is 100, and the measured energy is 98. All other influencing factors, including temperature conduction, neutrino radiation, influence of the outer wall of the equipment channel, etc., all added together can cause an impact of 1.

Obviously, some energy is missing, where did the remaining '1' go?
This question has always puzzled scholars of high-energy physics.

That is why there are special research groups to conduct research, but because there is no theoretical support, it is difficult for the research to really produce results.

An inexplicable "data analysis result" is unlikely to attract much attention, but it becomes a different story when it is linked to energy loss.

Now that Zhang Shuo mentioned the issue of energy loss, it seemed to be linked to the degree of deviation, and many people began to breathe heavily.

The judges and invited scholars in the front row were all waiting earnestly for Zhang Shuo to give his explanation.

Tan Zhiming and Gao Hongli were also very surprised. They didn't expect the research to be so in-depth and even related to energy loss?
Why is there no news at all?

Bao Hexing was also surprised. He whispered to Cui Kaiwen, "Do we have this research?"

Cui Kaiwen thought for a moment and said, "We definitely don't have it, but Zhang Shuo said this morning that he wanted to check the data. Could it be his new research?"

Bao Hexing grinned as he listened.

New research?
So fast?
This is awesome!

While the audience was discussing, Zhang Shuo wrote a series equation on the whiteboard, then returned to the podium. He waited until the audience had calmed down a bit before he said slowly, "This function represents the relationship between the two."

He walked to the whiteboard and explained, "I have marked it. k is the deviation degree and y is the energy loss ratio."

"There is also an adjustment parameter H, which represents the strength of the external magnetic field."

"This is a three-dimensional equation, and it can be clearly seen to be a continuous linear equation."

"Magnetic field strength plays a role in regulating the relationship, while the degree of deviation and energy loss ratio are positively correlated."

"There is also a coefficient involved, which I will represent with the letter η. η is calculated based on experimental data."

Zhang Shuo briefly explained and continued, "Substituting the deviation and magnetic field strength data into this function for calculation, the error of the energy loss ratio obtained is no more than 0.05%."

"Of course, due to limited data, the coefficient η is not accurate, and more experimental data is needed to correct the value."

The scholars in the audience listened attentively and continued to digest what had just been said.

The numerical error of the energy loss ratio obtained by substituting the data does not exceed 0.05%, which can explain the problem to a certain extent.

Deviation degree and energy loss ratio are both results of detection and analysis, and they themselves have errors.

An error of 0.05% is already very small.

Many people are also thinking, "An unexplained data analysis result is related to an unknown energy loss problem."

"If the research is correct, it means they are the same problem."

"To a certain extent, it has been proven that it is indeed an unknown physical phenomenon, and research can be carried out..."

The venue gradually became noisy.

Many people were discussing it.

The judges and invited scholars in the front row began to ask questions. The first to stand up was Nobel Prize winner in Physics Takaaki Kajita. He asked seriously, "Mr. Zhang Shuo, in the function you created, the magnetic field strength is the adjustment parameter. Why?"

"I mean, why does the magnetic field strength affect the relationship between deviation and energy loss?"

Zhang Shuo nodded towards Kajita Takaaki and explained, "The strength of the magnetic field will affect the force of the proton beam at the moment of collision and will produce electromagnetic effects on the collision process."

"Protons are positively charged. At the moment of collision, the positive charge will not disappear out of thin air. In the process of collision and dissipation, some small particles carrying charge characteristics will still be affected by the magnetic field."

"This process is very complicated, but it is certain that the strength of the magnetic field will have a certain impact on the particle escape and other energy explosion reactions after the collision..."

After getting the answer, Kajita Takaaki sat down.

The next person to ask a question was Eliezer Rabinovich, chairman of the board of directors of the Nuclear Research Center. "Are you sure that all the data are accurate? I mean these analysis charts and analysis data."

Zhang Shuo said, "This is the result of the analysis. I have confidence in the algorithm, but there are definitely deviations in detection and calculation."

Eliezer Rabinovi continued to ask, "Your research focuses on these analytical data, right? Is there any other evidence?"

"Now we only have these sample data, so I say the coefficient η needs to be further revised."

Andreas Hawke also asked, "Your deviation algorithm is used to analyze small experiments. What is the upper limit of experimental energy?"

"It depends on the number of parameters. If it is a large experiment, there will be more than a dozen parameters, and the analysis will not be possible."

Andreas asked several algorithm-related questions in succession.

Zhang Shuo answered them one by one.

Other scholars were also concerned about algorithm issues. After Andreas sat down, several more people asked about algorithm issues.

This also shows that they attach great importance to research.

Many scholars have conducted in-depth research on particle collision experiments, and because of this, they understand the importance of the energy loss issue.

After listening to Zhang Shuo's report, they seemed to see a major physical direction hidden behind the research. It's just that they can't confirm it now.

If all particle collision experiments are analyzed and similar conclusions are reached, then it can be determined that energy loss itself is an unknown physical discovery.

At the same time, it can also be studied in the form of deviation analysis.

Now that we have made the discovery and the research direction is clear, we can start large-scale experimental research.

That would be a feast for particle physics.

……

Zhang Shuo answered questions continuously on the stage, and the subsequent questions had nothing to do with the research, but were related to the experimental bias algorithm.

Many scholars are concerned about how to continue the verification, and have no objections to the research itself.

Of course, this research is not definitive yet.

This is mainly because there is too little reference data, only sample data from a dozen experiments, and the deviation analysis algorithm is also exclusive to the computing center.

Other teams also hope to use bias algorithms to analyze experiments to further test the research.

Finally, the report is over.

As soon as Zhang Shuo returned to his seat, he was questioned by a large number of people. They all asked questions about deviation algorithms and deviation degrees.

If there are bias algorithms that can perform experimental analysis, they can also analyze and measure the experimental data and find the problems.

This kind of research has great potential.

Cui Kaiwen and Bao Hexing were also surrounded by a lot of people. Both of them showed excitement on their faces and obviously enjoyed the feeling of being surrounded by scholars.

They are researchers at the Computing Center, and it feels great to be sought after at physics conferences.

The scholars who surrounded them could all be called "physicists".

where are they?
No matter where you go, you're likely to be called a 'computer engineer'...

"If you have achievements, you should be high-profile. It is much better to directly announce the discovery of new physical phenomena than to publish the results."

“The Computing Center can also be the focal point of a physics conference!”

“It will be busy later.”

After they return, there will definitely be teams looking for them to cooperate on data analysis.

At the same time, there are also many teams that hope to communicate about algorithm issues.

The only pity is that the deviation algorithm for small experiments is not that complicated. As long as you sort out the logical relationships and do the code carefully, you can complete it quickly.

This algorithm will soon not be unique to them.

Of course, that’s what research is all about.

If an algorithm is unique to an institution, any results published will not be recognized. Particle physics research involves physical theories rather than technology, so "algorithm monopoly" has no meaning at all.

At the same time, the media that came to the conference to conduct interviews have already sent their reports back.

For example, Zhou Kun, a reporter from Today’s Release.

The last time he sent back was the news that the collaborative research between Zhang Shuo and Agostini was confirmed by the conference, but the news effect was not very good, probably because the academic content was too complicated and only a few people could understand it.

After the report was released in the country, most people just took a look and knew that Zhang Shuo and Agostini's research was successful.

Subsequent cp groups will be affected.

That's it.

Most people don’t even know what CP research is, and all they discuss is how Zhang Shuo has achieved great results at such a young age.

As for what the results are...

Many people’s impression is “some kind of algorithm”, and only scholars in the professional field know its specific uses.

Now that he is sending the report back, Zhou Kun also hopes that it can attract more attention, so he gave it a shocking title:

"Zhang Shuo confirmed new physical phenomena using mathematics? The world was shocked! "

As soon as the title report came out, it immediately attracted a lot of attention.

After reading the report, many people were discussing, "Did Zhang Shuo use mathematics to identify a new physical phenomenon?"

"Have new physical phenomena been confirmed? Do we have to win a Nobel Prize for discovering new physical phenomena?"

"It would be amazing if he won the Nobel Prize. He's only in his 20s, right?"

"You can only win the prize if you study the specific physical phenomena, right? I don't think I'll win the prize if I just analyze it."

"By the way, what exactly is this new physical phenomenon? I've been looking at it for a long time but still can't understand it..."

"Same as above!"

"top!"

"The host is my spokesperson..."

(End of this chapter)