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Showing posts sorted by date for query LHC. Sort by relevance Show all posts

Tuesday, October 01, 2024

CERN at 70: Smashing elementary particles for humanity
DW
September 25, 2024

CERN has been an epicenter of scientific breakthroughs since 1954, including the discovery of the Higgs boson.

 Scientists there hope a new, larger particle smasher will lead them to more discoveries for years to come.

The long tubes of CERN's Large Hadron Collider
Image: Martial Trezzini/Keystone/AP/picture alliance


The European Organization for Nuclear Research — better known as CERN — is a place of scientific breakthroughs.

Since 1954, thousands of the world's best scientists and emerging minds have converged on Switzerland to explore how the universe works. On September 29, CERN will celebrate its 70th anniversary.

CERN has been the seat of some of the most important discoveries in science — from the confirmation of the elusive Higgs boson in 2012, to more practical innovations like the invention of the World Wide Web.

The Large Hadron Collider

CERN is perhaps best known for its extensive underground particle accelerator known as the Large Hadron Collider (LHC) — a 27-kilometer-long (16-miles-long) tube built beneath the Swiss and French borderlands near Geneva.

Scientists have been accelerating particles around the LHC since September 2008.

The LHC works by sending separate, highly energized particle beams in opposite directions through the 27-kilometer-long tubular vacuum.

The particle beams consist of a type of particle called protons, which are guided by superconducting electromagnets, making them collide at almost the speed of light.

The particles are so tiny that the task of making them collide is like firing two needles 10 kilometers at each other with the precision to make them collide.

When the particles collide, they produce energy that is used to create new particles.

The LHC is one of 11 other particle accelerators based at CERN. Researchers use them to help advance a range of technologies, including some that impact our daily lives.

Their research has helped construct more powerful computers and microchips, improve the quality of technology used in healthcare, energy and space exploration.

Higgs boson breakthrough in 2012

At the top of CERN's agenda using the LHC was the ambition to find the Higgs boson particle.

The Higgs boson is a type of particle named after Nobel Prize physicist Peter Higgs. Higgs believed the particle created a field which fills the entire universe and gives other particles their mass.

In 2012, after decades of research, scientists at CERN finally found proof of Higgs' theory — they had found a Higgs boson.

It was a colossal scientific breakthrough that opened a whole new field of particle physics research and helped explain why particles bunched together at the formation of the universe.


CERN aren't trying to create black holes


Prior to the LHC being switched on, there were concerns that smashing protons together at sub-light speed would lead to the formation of tiny black holes.

We think of black holes forming only when massive stars implode, but some theories suggest that tiny, quantum black holes can form when particles collide.

These tiny black holes are nothing like the black holes that suck matter inside them in space. They would only last for fractions of a second and be completely safe.

In fact, CERN researchers might like the formation of such a theoretical black hole inside a particle accelerator. It would give them an opportunity to see how gravity behaves on a quantum scale.

Peter Higgs, who along with Francois Englert won the 2013 Nobel Prize in Physics for his work on the Higgs boson.
Image: Sean Dempsey/AP Photo/picture alliance


What's next for CERN?


Scientists aren't finished with CERN's LHC. Beyond the discovery of the Higgs bosons, there are many other fundamental, unanswered questions about the universe.

They are developing a second-generation High Luminosity LHC. The upgrade will enable them to increase the number of proton collisions in the LHC to be at least five times.

This "LH-LHC" will likely be operational around 2041. Scientists aim to perform detailed studies of Higgs bosons by generating at least 15 million of the particles each year.

With the use of upgraded technology to generate more particles (and collisions), CERN hopes it will learn more about the once elusive Higgs boson, and discover new particles as yet unknown to science.

Edited by: Fred Schwaller



Mysteries of universe revealed? Hardly. CERN still fascinates on its 70th anniversary

The scientific center that is home to the world’s largest particle accelerator and is billed as the world’s biggest machine is celebrating its 70th anniversary

ByJAMEY KEATEN 
Associated Press
October 1, 2024

GENEVA -- The research center that is home to the world’s largest particle accelerator is celebrating its 70th anniversary on Tuesday, with the physicists who run it aiming to unlock secrets about dark matter and other mysteries to promote science for peace in today's conflict-darkened world.

Over the last seven decades, CERN, the sprawling research center on the Swiss-French border at Geneva, has become a household name in Europe, the West and beyond, but its complex inner workings remain a puzzle to many people.

Here's a look at CERN and how its discoveries have changed the world and our view of the universe — and could change them more in coming years.

The European Organization for Nuclear Research, which has retained the French-language acronym CERN for its predecessor outfit, had its origins in a 1951 meeting of the U.N.’s scientific organization that sought to build a state-of-the-art physics research facility in Europe and ease a brain drain toward America after World War II. Groundbreaking was on May 17, 1954.

Today, for cognoscenti, CERN is probably best known as home to the Large Hadron Collider, trumpeted as the world’s biggest machine, which powers a network of magnets to accelerate particles through a 27-kilometer (17-mile) underground loop in and around Geneva and slam them together at velocities approaching the speed of light.

By capturing and interpreting the results of the collisions — as many as a billion per second — of such beams of particles, thousands of scientists both on hand at the center and remotely around the world pore over the reams of resulting data and strive to explain how fundamental physics works.

CERN says collisions inside the LHC generate temperatures more than 100,000 times hotter than the core of the sun, on a small scale and in its controlled environment.

At the collider, “every day we are able to reproduce the conditions of the primordial universe as they were a millionth of a millionth of a second after the Big Bang. Yet, many open, crucial questions remain,” CERN Director-General Fabiola Gianotti told an anniversary celebration attended by many leaders of its 24 member countries.

Over the years, CERN and its experimental facilities have grown into a vast research hub with applications in many scientific fields and industries.

“In a world where conflicts between countries, religions and cultures sadly persist, this is a truly precious gift which cannot be taken for granted,” Gianotti said.


Experiments in the collider helped confirm in 2012 the subatomic Higgs boson, an infinitesimal particle whose existence had been theorized decades earlier and whose confirmation completed the Standard Model of particle physics.

CERN is also where the World Wide Web was born, in the mind of British scientist Tim Berners-Lee 35 years ago, as a way to help universities and institutes share information. In 1993, the software behind the web was put into the public domain — and the rest is history, in smartphones and on computers worldwide.

The spillover science and tools generated at CERN have rippled through the world economy. Thousands of smaller particle accelerators operate around the world today, plumbing applications in fields as diverse as medicine and computer chip manufacturing.

Crystals developed for CERN experiments roughly four decades ago are now widely used in PET scanners that can detect early signs of health troubles like cancer and heart disease.

“It is thanks to CERN that we have touch screens. It is thanks to CERN that we have new tools for fighting cancer," European Union chief Ursula von der Leyen said at the anniversary celebration. “You are constantly working with European industries to build low-emission airplanes, or to create new solutions to transport liquid hydrogen.”

"CERN is the living proof that science fosters innovation and that innovation fosters competitiveness,” von der Leyen said, adding that she wanted to increase spending for research in the next EU budget.

Some skeptics have over the years stirred fears about CERN. Insiders variously argue and explain that such fears are overblown or inaccurate, and CERN has issued its own retort to some of the theories out there.

For the most part, CERN technicians, researchers and theoreticians of more than 110 nationalities today carry out new experiments that aim to punch holes in the Standard Model — smashing up conventional understandings to move science forward — and explain a long list of lingering scientific unknowns.

Its scientific whizzes hope to solve riddles about dark energy — which makes up about 68% of the universe and has a role in speeding up its expansion — and test hypotheses about dark matter, whose existence is only inferred and which appears to outweigh visible matter nearly six-to-one, making up slightly more than a quarter of the universe.

CERN has two big projects on its horizon. The first is the High-Luminosity LHC project that aims to ramp up the number of collisions — and thus the potential for new discoveries — starting in 2029.

The second, over the much longer term, is the Future Circular Collider, which is estimated to cost 15 billion Swiss francs (about 16 billion euros or $17.2 billion) and is hoped to start operating in an initial phase by 2040.

Despite its aim to foster scientific progress in the cause of peace and humanity, CERN has found itself ensnared in politics.

Its constitution says the organization “shall have no concern with work for military requirements.” In 2022, CERN's governing council voted to pause ties with institutes in Russia because of President Vladimir Putin’s order for Russian troops to invade Ukraine earlier that year. Some fear that applications from CERN's research could make their way into Moscow's war machine.

On Nov. 30, CERN will formally exclude Russia — affecting some 500 scientists, about 100 of whom have joined non-Russian institutes in order to maintain their research with the center.

The suspension will come at a cost, depriving CERN of some 40 million Swiss francs in Russian financing for the High-Luminosity LHC. It amounts to about 4.5% of the budget for its experiment, which will now have to be shouldered by other CERN participants.

CERN counts 19 European Union countries plus Britain, Israel, Norway, Serbia and Switzerland as members, while the United States and Japan — plus the EU and the U.N. educational, scientific and cultural organization — have observer status. Russia and a Russia-based nuclear research institute had their observer status suspended in 2022.

Saturday, September 21, 2024

 SPACE/COSMOLOGY

Combination and summary of ATLAS dark matter searches in 2HDM+a



Peer-Reviewed Publication

Science China Press





In the 1930s, Swiss astronomer Fritz Zwicky observed that the velocities of galaxies in the Coma Cluster were too high to be maintained solely by the gravitational pull of luminous matter. He proposed the existence of some non-luminous matter within the galaxy cluster, which he called dark matter. This discovery marked the beginning of humanity's understanding and study of dark matter.

Today, the most precise measurements of dark matter in the universe come from observations of the cosmic microwave background. The latest results from the Planck satellite indicate that about 5% of the mass in our universe comes from visible matter (mainly baryonic matter), approximately 27% comes from dark matter, and the rest from dark energy.

Despite extensive astronomical observations confirming the existence of dark matter, we have limited knowledge about the properties of dark matter particles. From a microscopic perspective, the Standard Model of particle physics, established in the mid-20th century, has been hugely successful and confirmed by numerous experiments. However, the Standard Model cannot explain the existence of dark matter in the universe, indicating the need for new physics beyond the Standard Model to account for dark matter candidate particles, and the urgent need to find experimental evidence of these candidates.

Consequently, dark matter research is not only a hot topic in astronomy but also at the forefront of particle physics research. Searching for dark matter particles in colliders is one of the three major experimental approaches to detect the interaction between dark matter and regular matter, complementing other types of dark matter detection experiments such as underground direct detection experiments and space-based indirect detection experiments.

Recently, the ATLAS collaboration searched for dark matter using the 139 fb-1 of proton-proton collision data accumulated during LHC's Run 2, within the 2HDM+a dark matter theoretical framework. The search utilized a variety of dark matter production processes and experimental signatures, including some not considered in traditional dark matter models. To further enhance the sensitivity of the dark matter search, this work statistically combined the three most sensitive experimental signatures: the process involving a Z boson decaying into leptons with large missing transverse momentum, the process involving a Higgs boson decaying into bottom quarks with large missing transverse momentum, and the process involving a charged Higgs boson with top and bottom quark final states.

This is the first time ATLAS has conducted a combined statistical analysis of final states including dark matter particles and intermediate states decaying directly into Standard Model particles. This innovation has significantly enhanced the constraint on the model parameter space and the sensitivity to new physics.

"This work is one of the largest projects in the search for new physics at the LHC, involving nearly 20 different analysis channels. The complementary nature of different analysis channels to constrain the parameter space of new physics highlights the unique advantages of collider experiments," said Zirui Wang, a postdoctoral researcher at the University of Michigan.

This work has provided strong experimental constraints on multiple new benchmark parameter models within the 2HDM+a theoretical framework, including some parameter spaces never explored by previous experiments. This represents the most comprehensive experimental result from the ATLAS collaboration for the 2HDM+a dark matter model.

Lailin Xu, a professor at the University of Science and Technology of China stated, "2HDM+a is one of the mainstream new physics theoretical frameworks for dark matter in the world today. It has significant advantages in predicting dark matter phenomena and compatibility with current experimental constraints, predicting a rich variety of dark matter production processes in LHC experiments. This work systematically carried out multi-process searches and combined statistical analysis based on the 2HDM+a model framework, providing results that exclude a large portion of the possible parameter space for dark matter, offering important guidance for future dark matter searches."

Vu Ngoc Khanh, a postdoctoral researcher at Tsung-Dao Lee institute, stated: “Although we have not yet found dark matter particles at the LHC, compared to before the LHC’s operation, we have put stringent constraints on the parameter space where dark matter might exist, including the mass of the dark matter particles and their interaction strengths with other particles, further narrowing the search scope.” Tsung Dao Lee Fellow Li Shu, added: “So far, the data collected by the LHC only accounts for about 7% of the total data the experiment will record. The data that the LHC will generate over the next 20 years presents a tremendous opportunity to discover dark matter. Our past experiences have shown us that dark matter might be different from what we initially thought, which motivates us to use more innovative experimental methods and techniques in our search.”

ATLAS is one of the four large experiments at CERN's Large Hadron Collider (LHC). The ATLAS experiment is a multipurpose particle detector with a forward–backward symmetric cylindrical geometry and nearly 4π coverage in solid angle. It consists of an inner tracking detector surrounded by a thin superconducting solenoid, high-granularity sampling electromagnetic and hadronic calorimeters, and a muon spectrometer with three superconducting air-core toroidal magnets. The ATLAS Collaboration consists of more than 5900 members from 253 institutes in 42 countries on 6 continents, including physicists, engineers, students, and technical staff.

Monday, August 19, 2024

Pakistan: Youtuber Aun Ali Khosa abducted by intelligence agencies released, says lawyer

Khosa was among the three other social media activists of jailed former prime minister Imran Khan's Pakistan Tehreek-i-Insaf (PTI) party who had recently been picked up allegedly by intelligence agencies

PTI Lahore Published 19.08.24, 06:03 PM


Aun Ali KhosaInstagram/ aunalikhosa


Pakistani YouTuber and comedian Aun Ali Khosa, who was allegedly abducted by intelligence agencies last week for singing a song critical of the Shehbaz Sharif government and its backers, has returned home in Punjab province, his lawyer said on Monday.

Khosa was among the three other social media activists of jailed former prime minister Imran Khan's Pakistan Tehreek-i-Insaf (PTI) party who had recently been picked up allegedly by intelligence agencies.

The other two people were Naeem Ahmad Yasin and Arsalan Akbar. Their families have declared them "missing persons".

The Sharif-led government and the establishment were facing scathing criticism on social media for "abducting" Aun Khosa for singing a parody song on soaring electricity bills.

Days before his abduction, Khosa had sung a song, "Bill Bill Pakistan", a parody of the famous Pakistani song "Dil Dil Pakistan" and released a video on social media criticising the high prices of electricity and extra taxes added to it.

Khosa also took on the worthlessness of the Pakistani passport and the cash-strapped country's loans. The comedian has a following of 137,000 on YouTube.

On Monday, Khosa's lawyer, Advocate Khadija Siddiqi, said on X: “Aun Ali Khosa has been released! He has reached home! Criticising the recurring cases of abductions, she said, “Over the last two months, we have fought all missing persons cases, including Aun's, at the Lahore High Court.” She said that the kidnappers have the same modus operandi; they come in the dark of the night at 2 or 3 am, break down the door, and there are about a dozen men with masks on their faces, carrying weapons.

They take away mobile phones and laptops, and if there’s a CCTV installed, they remove it. They harass the victim and take him away.

"Then, when the high court’s ruling comes, they return the victim to his house in the dark of the night," Siddiqui said, adding that the practice of abduction of citizens should come to an end.

"If someone has violated the law, bring them to court and prosecute them there," she said.

Earlier, the Lahore High Court (LHC) directed the Punjab police chief to recover Khosa by August 20 and to recover missing PTI activist Arsalan Akbar by August 28.

The PTI has expressed concern over the recent ‘forced disappearances’ of its political workers.

Two brothers of PTI former social media head Azhar Mashwani – Professors Mazhar-ul-Hassan and Zahoor-ul-Hassan – as well as party founder Khan's close aide Shahbaz Gill’s brother Ghulam Shabbir have been missing since June last.

Amnesty International has also demanded the Pakistan government to immediately disclose the whereabouts of missing persons and ensure an effective, independent, and impartial investigation into these disappearances."

Saturday, August 17, 2024

 CHANGING THE QUANTUM UNIVERSE

Large Hadron Collider pipe brings search for elusive magnetic monopole closer than ever




University of Nottingham





New research using a decommissioned section of the beam pipe from the Large Hadron Collider (LHC) at CERN has bought scientists closer than ever before to test whether magnetic monopoles exist.

Scientists from the University of Nottingham, in collaboration with an international team have revealed the most stringent constraints yet on the existence of magnetic monopoles, pushing the boundaries of what is known about these elusive particles. Their research has been published today in Physical Review Letters.

In particle physics, a magnetic monopole is a hypothetical elementary particle that is an isolated magnet with only one magnetic pole (a north pole without a south pole or vice versa)

Oliver Gould, Dorothy Hodgkin Fellow at the School of Physics and Astronomy at the University of Nottingham is the lead theorist for the study, he said: “Could there be particles with only a single magnetic pole, either north or south? This intriguing possibility, championed by renowned physicists Pierre Curie, Paul Dirac, and Joseph Polchinski, has remained one of the most captivating mysteries in theoretical physics. Confirming their existence would be transformative for physics, yet to date experimental searches have come up empty handed.” 

The team focused their search on a decommissioned section of the beam pipe from the LHC at CERN, the European Organisation for Nuclear Research. Conducted by physicists from the Monopole and Exotics Detector at the LHC (MoEDAL) experiment, the study examined a beryllium beam pipe section that had been located at the particle collision point for the Compact Muon Solenoid (CMS) experiment. This pipe had endured radiation from billions of ultra-high-energy ion collisions occurring just centimetres away. 

"The proximity of the beam pipe to the collision point of ultra-relativistic heavy ions provides a unique opportunity to probe monopoles with unprecedentedly high magnetic charges," explained Aditya Upreti, a Ph.D. candidate who led the experimental analysis while working in Professor Ostrovskiy's MoEDAL group at the University of Alabama. "Since magnetic charge is conserved, the monopoles cannot decay and are expected to get trapped by the pipe's material, which allows us to reliably search for them with a device directly sensitive to magnetic charge". 

The researchers investigated the production of magnetic monopoles during heavy ion collisions at the LHC, which generated magnetic fields even stronger than those of rapidly spinning neutron stars. Such intense fields could lead to the spontaneous creation of magnetic monopoles through the Schwinger mechanism. 

Oliver added: “Despite being an old piece of pipe destined for disposal, our predictions indicated it might be the most promising place on Earth to find a magnetic monopole,” 

The MoEDAL collaboration used a superconductive magnetometer to scan the beam pipe for signatures of trapped magnetic charge. Although they found no evidence of magnetic monopoles, their results exclude the existence of monopoles lighter than 80 GeV/c² (where c is the speed of light) and provide the world-leading constraints for magnetic charges ranging from 2 to 45 base units. 

The research team now plans to extend their search, Oliver concludes: “The beam pipe that we used was from the first run of the Large Hadron Collider, which was carried out before 2013 and at lower energies. Extending the study to a more recent run at higher energies could double our experimental reach. We are also now considering completely different search strategies for magnetic monopoles.” 

New research using a decommissioned section of the beam pipe from the Large Hadron Collider (LHC) at CERN has bought scientists closer than ever before to test whether magnetic monopoles exist.

Scientists from the University of Nottingham, in collaboration with an international team have revealed the most stringent constraints yet on the existence of magnetic monopoles, pushing the boundaries of what is known about these elusive particles. Their research has been published today in Physical Review Letters.

In particle physics, a magnetic monopole is a hypothetical elementary particle that is an isolated magnet with only one magnetic pole (a north pole without a south pole or vice versa)

Oliver Gould, Dorothy Hodgkin Fellow at the School of Physics and Astronomy at the University of Nottingham is the lead theorist for the study, he said: “Could there be particles with only a single magnetic pole, either north or south? This intriguing possibility, championed by renowned physicists Pierre Curie, Paul Dirac, and Joseph Polchinski, has remained one of the most captivating mysteries in theoretical physics. Confirming their existence would be transformative for physics, yet to date experimental searches have come up empty handed.” 

The team focused their search on a decommissioned section of the beam pipe from the LHC at CERN, the European Organisation for Nuclear Research. Conducted by physicists from the Monopole and Exotics Detector at the LHC (MoEDAL) experiment, the study examined a beryllium beam pipe section that had been located at the particle collision point for the Compact Muon Solenoid (CMS) experiment. This pipe had endured radiation from billions of ultra-high-energy ion collisions occurring just centimetres away. 

"The proximity of the beam pipe to the collision point of ultra-relativistic heavy ions provides a unique opportunity to probe monopoles with unprecedentedly high magnetic charges," explained Aditya Upreti, a Ph.D. candidate who led the experimental analysis while working in Professor Ostrovskiy's MoEDAL group at the University of Alabama. "Since magnetic charge is conserved, the monopoles cannot decay and are expected to get trapped by the pipe's material, which allows us to reliably search for them with a device directly sensitive to magnetic charge". 

The researchers investigated the production of magnetic monopoles during heavy ion collisions at the LHC, which generated magnetic fields even stronger than those of rapidly spinning neutron stars. Such intense fields could lead to the spontaneous creation of magnetic monopoles through the Schwinger mechanism. 

Oliver added: “Despite being an old piece of pipe destined for disposal, our predictions indicated it might be the most promising place on Earth to find a magnetic monopole,” 

The MoEDAL collaboration used a superconductive magnetometer to scan the beam pipe for signatures of trapped magnetic charge. Although they found no evidence of magnetic monopoles, their results exclude the existence of monopoles lighter than 80 GeV/c² (where c is the speed of light) and provide the world-leading constraints for magnetic charges ranging from 2 to 45 base units. 

The research team now plans to extend their search, Oliver concludes: “The beam pipe that we used was from the first run of the Large Hadron Collider, which was carried out before 2013 and at lower energies. Extending the study to a more recent run at higher energies could double our experimental reach. We are also now considering completely different search strategies for magnetic monopoles.” 

Saturday, April 27, 2024

 

Large Hadron Collider experiment zeroes in on magnetic monopoles

MoEDAL experiment zeroes in on magnetic monopoles
The MoEDAL detector. Credit: CERN

The late physicist Joseph Polchinski once said the existence of magnetic monopoles is "one of the safest bets that one can make about physics not yet seen." In its quest for these particles, which have a magnetic charge and are predicted by several theories that extend the Standard Model, the MoEDAL collaboration at the Large Hadron Collider (LHC) has not yet proven Polchinski right, but its latest findings mark a significant stride forward.

The results, reported in two papers posted on the arXiv preprint server, considerably narrow the search window for these hypothetical particles.

At the LHC, pairs of  could be produced in interactions between protons or . In collisions between protons, they could be formed from a single virtual photon (the Drell–Yan mechanism) or the fusion of two virtual photons (the photon-fusion mechanism). Pairs of magnetic monopoles could also be produced from the vacuum in the enormous magnetic fields created in near-miss heavy-ion collisions, through a process called the Schwinger mechanism.

Since it started taking data in 2012, MoEDAL has achieved several firsts, including conducting the first searches at the LHC for magnetic monopoles produced via the photon-fusion mechanism and through the Schwinger mechanism.

In the first of its latest studies, the MoEDAL collaboration sought monopoles and high-electric-charge objects (HECOs) produced via the Drell–Yan and photon-fusion mechanisms. The search was based on proton–proton collision data collected during Run 2 of the LHC, using the full MoEDAL detector for the first time.

The full detector comprises two main systems sensitive to magnetic monopoles, HECOs and other highly ionizing hypothetical particles. The first can permanently register the tracks of magnetic monopoles and HECOs, with no background signals from Standard Model particles. These tracks are measured using optical scanning microscopes at INFN Bologna.

The second system consists of roughly a ton of trapping volumes designed to capture magnetic monopoles. These trapping volumes—which make MoEDAL the only collider experiment in the world that can definitively and directly identify the magnetic charge of magnetic monopoles—are scanned at ETH Zurich using a special type of magnetometer called a SQUID to look for any trapped monopoles they may contain.

In their latest scanning of the trapping volumes, the MoEDAL team found no magnetic monopoles or HECOs, but it set bounds on the mass and production rate of these particles for different values of particle spin, an intrinsic form of angular momentum.

For magnetic monopoles, the mass bounds were set for magnetic charges from 1 to 10 times the fundamental unit of magnetic charge, the Dirac charge (gD), and the existence of monopoles with masses as high as about 3.9 trillion electronvolts (TeV) was excluded.

For HECOs, the mass limits were established for electric charges from 5e to 350e, where e is the electron charge, and the existence of HECOs with masses ranging up to 3.4 TeV was ruled out.

"MoEDAL's search reach for both monopoles and HECOs allows the collaboration to survey a huge swathe of the theoretical 'discovery space' for these hypothetical particles," says MoEDAL spokesperson James Pinfold.

In its second latest study, the MoEDAL team concentrated on the search for monopoles produced via the Schwinger mechanism in heavy-ion collision data taken during Run 1 of the LHC. In a unique endeavor, it scanned a decommissioned section of the CMS experiment beam pipe, instead of the MoEDAL detector's trapping volumes, in search of trapped monopoles.

Once again, the team found no monopoles, but it set the strongest-to-date mass limits on Schwinger monopoles with a charge between 2gD and 45gD, ruling out the existence of monopoles with masses of up to 80 GeV.

"The vital importance of the Schwinger mechanism is that the production of composite monopoles is not suppressed compared to that of elementary ones, as is the case with the Drell–Yan and photon-fusion processes," explains Pinfold. "Thus, if monopoles are composite particles, this and our previous Schwinger-monopole search may have been the first-ever chances to observe them."

The MoEDAL detector will soon be joined by the MoEDAL Apparatus for Penetrating Particles, MAPP for short, which will allow the experiment to cast an even broader net in the search for new particles.

More information: Search for Highly-Ionizing Particles in pp Collisions During LHC Run-2 Using the Full MoEDAL Detector, arXiv (2023). DOI: 10.48550/arxiv.2311.06509

B. Acharya et al, MoEDAL search in the CMS beam pipe for magnetic monopoles produced via the Schwinger effect, arXiv (2024). DOI: 10.48550/arxiv.2402.15682


Journal information: arXiv 


Provided by CERN ATLAS experiment places some of the tightest limits yet on magnetic monopoles

Thursday, March 28, 2024

 

Aston University research center to focus on using AI to improve lives



ASTON UNIVERSITY
Aston University research centre to focus on using AI to improve lives 

IMAGE: 

PROFESSOR ANIKÓ EKÁRT AND 'PEPPER' THE ROBOT

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CREDIT: ASTON UNIVERSITY


•   



 New centre specifically focuses on using AI to improve society
•    Current research is designed to improve transport, health and industry
•    “There have been a lot of reports focusing on the negative use of AI...this is why the centre is so       important now.”

Aston University researchers have marked the opening of a new centre which focuses on harnessing artificial intelligence (AI) to improve people’s lives.

The Aston Centre for Artificial Intelligence Research and Application (ACAIRA) has been set up to become a West Midlands hub for the use of AI to benefit of society. 

Following its official opening, the academics leading it are looking to work with organisations and the public. Director Professor Anikó Ekárt said: “There have been a lot of reports focusing on the negative use of AI and subsequent fear of AI. This is why the centre is so important now, as we aim to achieve trustworthy, ethical and sustainable AI solutions for the future, by co-designing them with stakeholders.”

Deputy director Dr Ulysses Bernardet added: “We work with local, national and international institutions from academia, industry, and the public sector, expanding Aston University’s external reach in AI research and application. 

“ACAIRA will benefit our students enormously by training them to become the next generation of AI practitioners and researchers equipped for future challenges.”

The centre is already involved in various projects that use AI to solve some of society’s challenges.

A collaboration with Legrand Care aims to extend and improve independent living conditions for older people by using AI to analyse data collected through home sensors which detect decline in wellbeing. This allows care professionals to change and improve individuals’ support plans whenever needed. 

A project with engineering firm Lanemark aims to reduce the carbon footprint of industrial gas burners by exploring new, more sustainable fuel mixes. 

Other projects include work with asbestos consultancy Thames Laboratories which will lead to reduced costs, emissions, enhanced productivity and improved resident satisfaction in social housing repairs and a partnership with transport safety consultancy Agilysis to produce an air quality prediction tool which uses live data to improve transport planning decisions.  

The centre is part of the University’s College of Engineering and Physical Sciences and its official launch took place on the University campus on 29 February. The event included a talk by the chair of West Midlands AI and Future Tech Forum, Dr Chris Meah. He introduced the vision for AI within the West Midlands and the importance of bringing together academics, industry and the public.

Current research in sectors such as traffic management, social robotics, bioinformatics, health, and virtual humans was highlighted, followed by industry talks from companies Smart Transport Hub, Majestic, DRPG and Proximity Data Centres. 

The centre’s academics work closely with West Midlands AI and Future Tech Forum and host the regular BrumAI Meetup.


Artificial intelligence to reconstruct particle paths leading to new physics



THE HENRYK NIEWODNICZANSKI INSTITUTE OF NUCLEAR PHYSICS POLISH ACADEMY OF SCIENCES
The principle of reconstructing the tracks of secondary particles 

IMAGE: 

THE PRINCIPLE OF RECONSTRUCTING THE TRACKS OF SECONDARY PARTICLES BASED ON HITS RECORDED DURING COLLISIONS INSIDE THE MUONE DETECTOR. SUBSEQUENT TARGETS ARE MARKED IN GOLD, AND SILICON DETECTOR LAYERS ARE MARKED IN BLUE.

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CREDIT: SOURCE: IFJ PAN




Cracow, 20 March 2024

Artificial intelligence to reconstruct particle paths leading to new physics

Particles colliding in accelerators produce numerous cascades of secondary particles. The electronics processing the signals avalanching in from the detectors then have a fraction of a second in which to assess whether an event is of sufficient interest to save it for later analysis. In the near future, this demanding task may be carried out using algorithms based on AI, the development of which involves scientists from the Institute of Nuclear Physics of the PAS.

Electronics has never had an easy life in nuclear physics. There is so much data coming in from the LHC, the most powerful accelerator in the world, that recording it all has never been an option. The systems that process the wave of signals coming from the detectors therefore specialise in... forgetting – they reconstruct the tracks of secondary particles in a fraction of a second and assess whether the collision just observed can be ignored or whether it is worth saving for further analysis. However, the current methods of reconstructing particle tracks will soon no longer suffice.

Research presented in Computer Science by scientists from the Institute of Nuclear Physics of the Polish Academy of Sciences (IFJ PAN) in Cracow, Poland, suggests that tools built using artificial intelligence could be an effective alternative to current methods for the rapid reconstruction of particle tracks. Their debut could occur in the next two to three years, probably in the MUonE experiment which supports the search for new physics.

In modern high-energy physics experiments, particles diverging from the collision point pass through successive layers of the detector, depositing a little energy in each. In practice, this means that if the detector consists of ten layers and the secondary particle passes through all of them, its path has to be reconstructed on the basis of ten points. The task is only seemingly simple.

“There is usually a magnetic field inside the detectors. Charged particles move in it along curved lines and this is also how the detector elements activated by them, which in our jargon we call hits, will be located with respect to each other,” explains Prof. Marcin Kucharczyk, (IFJ PAN) and immediately adds: “In reality, the so-called occupancy of the detector, i.e. the number of hits per detector element, may be very high, which causes many problems when trying to reconstruct the tracks of particles correctly. In particular, the reconstruction of tracks that are close to each other is quite a problem.”

Experiments designed to find new physics will collide particles at higher energies than before, meaning that more secondary particles will be created in each collision. The luminosity of the beams will also have to be higher, which in turn will increase the number of collisions per unit time. Under such conditions, classical methods of reconstructing particle tracks can no longer cope. Artificial intelligence, which excels where certain universal patterns need to be recognised quickly, can come to the rescue.

“The artificial intelligence we have designed is a deep-type neural network. It consists of an input layer made up of 20 neurons, four hidden layers of 1,000 neurons each and an output layer with eight neurons. All the neurons of each layer are connected to all the neurons of the neighbouring layer. Altogether, the network has two million configuration parameters, the values of which are set during the learning process,” describes Dr Milosz Zdybal (IFJ PAN).

The deep neural network thus prepared was trained using 40,000 simulated particle collisions, supplemented with artificially generated noise. During the testing phase, only hit information was fed into the network. As these were derived from computer simulations, the original trajectories of the responsible particles were known exactly and could be compared with the reconstructions provided by the artificial intelligence. On this basis, the artificial intelligence learned to correctly reconstruct the particle tracks.

“In our paper, we show that the deep neural network trained on a properly prepared database is able to reconstruct secondary particle tracks as accurately as classical algorithms. This is a result of great importance for the development of detection techniques. Whilst training a deep neural network is a lengthy and computationally demanding process, a trained network reacts instantly. Since it does this also with satisfactory precision, we can think optimistically about using it in the case of real collisions,” stresses Prof. Kucharczyk.

The closest experiment in which the artificial intelligence from IFJ PAN would have a chance to prove itself is MUonE (MUon ON Electron elastic scattering). This examines an interesting discrepancy between the measured values of a certain physical quantity to do with muons (particles that are about 200 times more massive equivalents of the electron) and predictions of the Standard Model (that is, the model used to describe the world of elementary particles). Measurements carried out at the American accelerator centre Fermilab show that the so-called anomalous magnetic moment of muons differs from the predictions of the Standard Model with a certainty of up to 4.2 standard deviations (referred as sigma). Meanwhile, it is accepted in physics that a significance above 5 sigma, corresponding to a certainty of 99.99995%, is a value deemed acceptable to announce a discovery.

The significance of the discrepancy indicating new physics could be significantly increased if the precision of the Standard Model's predictions could be improved. However, in order to better determine the anomalous magnetic moment of the muon with its help, it would be necessary to know a more precise value of the parameter known as the hadronic correction. Unfortunately, a mathematical calculation of this parameter is not possible. At this point, the role of the MUonE experiment becomes clear. In it, scientists intend to study the scattering of muons on electrons of atoms with low atomic number, such as carbon or beryllium. The results will allow a more precise determination of certain physical parameters that directly depend on the hadronic correction. If everything goes according to the physicists' plans, the hadronic correction determined in this way will increase the confidence in measuring the discrepancy between the theoretical and measured value of the muon's anomalous magnetic moment by up to 7 sigma – and the existence of hitherto unknown physics may become a reality.

The MUonE experiment is to start at Europe's CERN nuclear facility as early as next year, but the target phase has been planned for 2027, which is probably when the Cracow physicists will have the opportunity to see if the artificial intelligence they have created will do its job in reconstructing particle tracks. Confirmation of its effectiveness in the conditions of a real experiment could mark the beginning of a new era in particle detection techniques.

The work of the team of physicists from the IFJ PAN was funded by a grant from the Polish National Science Centre.

The Henryk Niewodniczański Institute of Nuclear Physics (IFJ PAN) is currently one of the largest research institutes of the Polish Academy of Sciences. A wide range of research carried out at IFJ PAN covers basic and applied studies, from particle physics and astrophysics, through hadron physics, high-, medium-, and low-energy nuclear physics, condensed matter physics (including materials engineering), to various applications of nuclear physics in interdisciplinary research, covering medical physics, dosimetry, radiation and environmental biology, environmental protection, and other related disciplines. The average yearly publication output of IFJ PAN includes over 600 scientific papers in high-impact international journals. Each year the Institute hosts about 20 international and national scientific conferences. One of the most important facilities of the Institute is the Cyclotron Centre Bronowice (CCB), which is an infrastructure unique in Central Europe, serving as a clinical and research centre in the field of medical and nuclear physics. In addition, IFJ PAN runs four accredited research and measurement laboratories. IFJ PAN is a member of the Marian Smoluchowski Kraków Research Consortium: “Matter-Energy-Future”, which in the years 2012-2017 enjoyed the status of the Leading National Research Centre (KNOW) in physics. In 2017, the European Commission granted the Institute the HR Excellence in Research award. As a result of the categorization of the Ministry of Education and Science, the Institute has been classified into the A+ category (the highest scientific category in Poland) in the field of physical sciences.

SCIENTIFIC PUBLICATIONS:

“Machine Learning based Event Reconstruction for the MUonE Experiment”

M. Zdybał, M. Kucharczyk, M. Wolter

Computer Science 25(1) (2024) 25-46

DOI: 10.7494/csci.2024.25.1.5690

 

LINKS:

http://www.ifj.edu.pl/

The website of the Institute of Nuclear Physics, Polish Academy of Sciences.

http://press.ifj.edu.pl/

Press releases of the Institute of Nuclear Physics, Polish Academy of Sciences.

 

IMAGES:

IFJ240320b_fot01s.jpg                                 

HR: http://press.ifj.edu.pl/news/2024/03/20/IFJ240320b_fot01.jpg

The principle of reconstructing the tracks of secondary particles based on hits recorded during collisions inside the MUonE detector. Subsequent targets are marked in gold, and silicon detector layers are marked in blue. (Source: IFJ PAN)


 

Thursday, March 21, 2024

OPENING THE QUANTUM UNIVERSE

Rice nuclear physics team tapped to lead $15 million Large Hadron Collider upgrade project



Wei Li directing U.S. build of massive timing components for CMS experiment

Grant and Award Announcement

RICE UNIVERSITY

Nicole Lewis, Mike Matveev, Prof. Wei Le, and Frank Geurts. Photo courtesy of Rice University. 

IMAGE: 

NICOLE LEWIS, MIKE MATVEEV, PROF. WEI LE, AND FRANK GEURTS. PHOTO COURTESY OF RICE UNIVERSITY.

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CREDIT: PHOTO COURTESY OF RICE UNIVERSITY




A team of physicists at Rice University led by Wei Li has been awarded a five-year, $15.5 million grant from the U.S. Department of Energy (DOE) Office of Nuclear Physics, marking a significant leap forward in the realm of high-energy nuclear physics.

This prestigious grant will pave the way for a new frontier of scientific discoveries within the Compact Muon Solenoid (CMS) program.

The CMS experiment is one of two large general-purpose particle physics detectors built on the Large Hadron Collider (LHC) at CERN, the European organization for nuclear research located on the border of France and Switzerland.

The team from Rice includes co-principal investigator Frank Geurts and researchers Nicole Lewis and Mike Matveev.

Under Li’s guidance, a collaborative effort between Rice, the Massachusetts Institute of Technology, Oak Ridge National Lab, University of Illinois Chicago, and University of Kansas will embark on the development of an ultra-fast silicon timing detector named the endcap timing layer (ETL). This cutting-edge technology forms a crucial component of the CMS experiment’s upgrades and is poised to revolutionize our understanding of fundamental physics.

“The ETL will enable breakthrough science in the area of heavy ion collisions, allowing us to delve into the properties of a remarkable new state of matter called the quark-gluon plasma,” said Li, a professor of physics and astronomy at Rice. “This, in turn, offers invaluable insights into the strong nuclear force that binds particles at the core of matter.”

Key features of the ETL include two disks on each side of the CMS detector accounting for half of the entire international ETL project and boasting a time resolution of 30 picoseconds per particle.

The detector will enable unprecedented particle identification capabilities through precise time-of-flight measurements, contributing to the High-Luminosity Large Hadron Collider (HL-LHC), an upgrade to the LHC that is scheduled to launch in 2029. The HL-LHC will operate at about 10 times the luminosity of the collider’s original configuration.

Increasing luminosity produces more data, allowing physicists to study known mechanisms in greater detail and observe rare new phenomena that might reveal themselves. For example, HL-LHC will produce at least 15 million Higgs bosons per year compared to around three million collected during LHC operation in 2017.

Upon completion, the ETL will enable the investigation of a wide range of physics, including not only the study of quark-gluon plasma and the search for the Higgs boson, but also for extra dimensions and particles that could make up dark matter.

Beyond its impact on the LHC, the results of the ETL project hold tremendous potential for synergy with other leading-edge facilities like the electron-ion collider at DOE’s Brookhaven National Laboratory in Long Island, New York. The project is set to shape the scientific landscape in the coming decade.

Li received his Ph.D. in experimental particle and nuclear physics at MIT in 2009. Following a postdoc position at MIT working on the first relativistic heavy ion physics program on the CMS experiment at the LHC, he joined the Rice faculty in 2012. His work has been recognized with a White House Presidential Early Career Award for Scientists and Engineers, an Early Career Award from the DOE and a Sloan Research Fellowship.

This grant is administered by the DOE (DE-SC0024846).