Following the people and events that make up the research community at Duke

Students exploring the Innovation Co-Lab

Author: Kara Manke Page 3 of 4

When Art Tackles the Invisibly Small

Huddled in a small cinderblock room in the basement of Hudson Hall, visual artist Raewyn Turner and mechatronics engineer Brian Harris watch as Duke postdoc Nick Geitner positions a glass slide under the bulky eyepiece of an optical microscope.

To the naked eye, the slide is completely clean. But after some careful adjustments of the microscope, a field of technicolor spots splashes across the viewfinder. Each point shows light scattering off one of the thousands of silver nanoparticles spread in a thin sheet across the glass.

“It’s beautiful!” Turner said. “They look like a starry sky.”

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A field of 10-nanometer diameter silver nanoparticles (blue points) and clusters of 2-4 nanoparticles (other colored points) viewed under a dark-field hyperspectral microscope. The clear orbs are cells of live chlorella vulgaris algae. Image courtesy Nick Geitner.

Turner and Harris, New Zealand natives, have traveled halfway across the globe to meet with researchers at the Center for the Environmental Implications of Nanotechnology (CEINT). Here, they are learning all they can about nanoparticles: how scientists go about detecting these unimaginably small objects, and how these tiny bits of matter interact with humans, with the environment and with each other.

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The mesocosms, tucked deep in the Duke Forest, currently lay dormant.

The team hopes the insights they gather will inform the next phases of Steep, an ongoing project with science communicator Maryse de la Giroday which uses visual imagery to explore how humans interact with and “sense” the nanoparticles that are increasingly being used in our electronics, food, medicines, and even clothing.

“The general public, including ourselves, we don’t know anything about nanoparticles. We don’t understand them, we don’t know how to sense them, we don’t know where they are,” Turner said. “What we are trying to do is see how scientists sense nanoparticles, how they take data about them and translate it into sensory data.”

Duke Professor and CEINT member Mark Wiesner, who is Geitner’s postdoctoral advisor, serves as a scientific advisor on the project.

“Imagery is a challenge when talking about something that is too small to see,” Wiesner said. “Our mesocosm work provides an opportunity to visualize how were are investigating the interactions of nanomaterials with living systems, and our microscopy work provides some useful, if not beautiful images. But Raewyn has been brilliant in finding metaphors, cultural references, and accompanying images to get points across.”

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Graduate student Amalia Turner describes how she uses the dark-field microscope to characterize gold nanoparticles in soil. From left: Amalia Turner, Nick Geitner, Raewyn Turner, and Brian Harris.

On Tuesday, Geitner led the pair on a soggy tour of the mesocosms, 30 miniature coastal ecosystems tucked into the Duke Forest where researchers are finding out where nanoparticles go when released into the environment. After that, the group retreated to the relative warmth of the laboratory to peek at the particles under a microscope.

Even at 400 times magnification, the silver nanoparticles on the slide can’t really be “seen” in any detail, Geitner explained.

“It is sort of like looking at the stars,” Geitner said. “You can’t tell what is a big star and what is a small star because they are so far away, you just get that point of light.”

But the image still contains loads of information, Geitner added, because each particle scatters a different color of light depending on its size and shape: particles on their own shine a cool blue, while particles that have joined together in clusters appear green, orange or red.

During the week, Harris and Turner saw a number of other techniques for studying nanoparticles, including scanning electron microscopes and molecular dynamics simulations.

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An image from the Steep collection, which uses visual imagery to explore how humans interact with the increasingly abundant gold nanoparticles in our environment. Credit: Raewyn Turner and Brian Harris.

“What we have found really, really interesting is that the nanoparticles have different properties,” Turner said. “Each type of nanoparticle is different to each other one, and it also depends on which environment you put them into, just like how a human will behave in different environments in different ways.”

Geitner says the experience has been illuminating for him, too. “I have never in my life thought of nanoparticles from this perspective before,” Geitner said. “A lot of their questions are about really, what is the difference when you get down to atoms, molecules, nanoparticles? They are all really, really small, but what does small mean?”

Kara J. Manke, PhD

Post by Kara Manke

Does Digital Healthcare Work?

Wearable technologies like Fitbit have been shown to provide a short-term increase in physical activity, but long-term benefits are still unclear, even if recent studies on corporate wellness programs highlight the potential healthcare savings.

Headshot of Luca Foschini

Luca Foschini, PhD is a co-founder and head of data science at Evidation Health, and a visiting research scientist at UCSB. Source: Network Science IGERT at UCSB.

To figure out the effects of these technologies on our health, we need ways to efficiently mine through the vast amounts of data and feedback that wearable devices constantly record.

As someone who has recently jumped on the Fitbit “band” wagon, I have often wondered about what happens with all the data collected from my wrist day after day, week after week.

Luca Foschini, a co-founder and head of data science at Evidation Health, recently spoke at Duke’s Genomic and Precision Medicine Forum where he explained how his company uses these massive datasets to analyze and predict how digital health interventions — Fitbits and beyond — can result in better health outcomes.

California-based Evidation health uses real-life data collected upon authorization from 500,000-plus users of mobile health applications and devices. This mobile health or “mHealth” data is quickly becoming a focus of intense research interest because of its ability to provide such a wealth of information about an individual’s behavior.

Foschini and Evidation Health have taken the initiative to design and run clinical studies to show the healthcare field that digital technologies can be used for assessing patient health, behavioral habits, and medication adherence, just to name a few.

Foschini said that the benefits of mobile technologies could go far beyond answering questions about daily behavior and lifestyle to formulate predictions about health outcomes. This opens the door for “wearables and apps” to be used in the realm of behavior change intervention and preventative care.

Foschini speaks at Duke’s Genomic and Precision Medicine Forum

Foschini explains how data collected from thousands of individuals wearing digital health trackers was used to find a associations between activity tracking patterns and weight loss.

Evidation Health is not only exploring data based on wearable technologies, but data within all aspects of digital health. For example, an interesting concept to consider is whether devices create an opportunity for faster clinical trials. So-called “virtual recruiting” of participants for clinical studies might use social media, email campaigns and online advertising, rather than traditional ads and fliers. Foschini said a study by his firm found this type of recruitment is up to twelve times faster than normal recruitment methods for clinical trials (Kumar et al 2016). 

While Foschini and others in his field are excited about the possibilities that mHealth provides for the betterment of healthcare, he acknowledges the hurdles standing in the way of this new approach. There is no standardization in how this type of data is gathered, and greater scrutiny is needed to ensure the reliability and accuracy of some of the apps and devices that supply the data.

amanda_cox_100 Post by Amanda Cox

3D-Printable Material Sets Terminator’s Eyes Aglow

Pumpkins just not cutting it for you this year?

If you want a unique, hand-made Halloween decoration – and happen to have access to a 3D printer – Duke graduate student Patrick Flowers has just the project for you: this 3D-printed Terminator head, complete with shining, blood-red eyes.

[youtube https://www.youtube.com/watch?v=llDaqaicGGk]

Flowers, a PhD candidate in Benjamin Wiley’s lab, is not spending his time studying early eighties action flicks or the Governator’s best break-out roles. Instead, he and his labmates are working hard to brew up highly-conductive, copper-based materials that can be 3D printed into multilayer circuits – just like the one powering this Terminator’s glowing LED eyes.

Their latest copper concoction, which they have named “Electrifi,” is about 100 times more conductive than other materials on the market. The team has a taken out a provisional patent on Electrifi and also started a company, named Multi3D, where 3D-printing aficionados can purchase the material to include in their very own devices.

Micro CT scan of the 3D Terminator head

This X-ray view of Terminator’s head, collected with Duke SMIF’s Micro CT scanner, shows the embedded 3D circuit powering his LED eyes.

Creating a conductive, 3D-printable material is a lot trickier than just throwing some copper into a printer and going to town, Flowers said.

“Copper is really conductive originally, but if you try to extrude it out of a hot nozzle like you have to do in order to do this 3D printing, then it quickly loses all its properties,” Flowers said. And conductive materials that can stand the heat, like silver, are too expensive to use on any sort of scale, he added.

To bring the benefits of 3D printing to the world of electric circuits, Flowers and his labmates are experimenting with mixing copper with other materials to help it stay conductive through this extrusion process.

“This lab has a long history of working with copper – copper nanowires, copper particles, copper nanoparticles – so we’ve got a lot of little tricks that we use to maintain the conductivity,” Flowers said.

The team is currently testing the limits of their new material and plans to publish their findings soon. In the meantime, Flowers is busy exploring the other capabilities of Electrifi — outside of plastic android noggins.

“The circuit inside this guy is really simple, but it does show the capabilities of the material: it is embedded, it shows that I can go down, over, up, out, and go to a couple of eyes,” Flowers said. “Now I want to expand on that and show that you can make these really complicated embedded structures that have multiple layers and multiple components, other than just LEDs.”

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Kara J. Manke, PhD

Post by Kara Manke

Students Mine Parking Data to Help You Find a Spot

No parking spot? No problem.

A group of students has teamed up with Duke Parking and Transportation to explore how data analysis and visualization can help make parking on campus a breeze.

As part of the Information Initiative’s Data+ program, students Mitchell Parekh (’19) and Morton Mo (’19) along with IIT student Nikhil Tank (’17), spent 10 weeks over the summer poring over parking data collected at 42 of Duke’s permitted lots.

Under the mentorship of graduate student Nicolas-Aldebrando Benelli, they identified common parking patterns across the campus, with the goal of creating a “redirection” tool that could help Duke students and employees figure out the best place to park if their preferred lot is full.

A map of parking patterns at Duke

To understand parking patterns at Duke, the team created “activity” maps, where each circle represents one of Duke’s parking lots. The size of the circle indicates the size of the lot, and the color of the circle indicates how many people entered and exited the lot within a given hour.

“We envision a mobile app where, before you head out for work, you could check your lot on your phone,” Mo said, speaking with Parekh at the Sept. 23 Visualization Friday Forum. “And if the lot is full, it would give you a pass for an alternate lot.”

Starting with parking data gathered in Fall 2013, which logged permit holders “swiping” in and out from each lot, they set out to map some basic parking habits at Duke, including how full each lot is, when people usually arrive, and how long they stay.

However, the data weren’t always very agreeable, Mo said.

“One of the things we got was a historical occupancy count, which is exactly what we wanted – the number of cars in the facility at a given time – but we were seeing negative numbers,” said Mo. “So we figured that table might not be as trustworthy as we expected it to be.”

Other unexpected features, such as “passback,” which occurs when two cars enter or exit under the same pass, also created challenges with interpreting the data.

However, with some careful approximations, the team was able to estimate the occupancy of lot on campus at different times throughout an average weekday.

They then built an interactive, Matlab-based tool that would suggest up to three alternative parking locations based on the users’ location and travel time plus the utilization and physical capacity of each lot.

“Duke Parking is really happy with the interface that we built, and they want us to keep working on it,” Parekh said.

“The data team worked hard on real world challenges, and provided thoughtful insights to those challenges,” said Kyle Cavanaugh, Vice President of Administration at Duke. “The team was terrific to work with and we look forward to future collaboration.”

Hectic class schedules allowing, the team hopes to continue developing their application into a more user-friendly tool. You can watch a recording of Mo and Parekh’s Sept. 23 presentation here.

The team's algorithm recommends up to three alternative lots if a commuter's preferred lot is full. In this video, suggested alternatives to the blue lot are updated throughout the day to reflect changing traffic and parking patterns. Video courtesy of Nikhil Tank.

Kara J. Manke, PhD

Post by Kara Manke

 

“Gastronauts” Decode Gut-Brain Communication

We like to think of our brains as the ultimate commanders-in-chief, dictating each and every heartbeat and muscle twitch within our bodies.

But our loopy insides may have a lot more say than we realize.

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Healthy mucosal cells in the human stomach, magnified. (credit: Nephron)

“Not only does the brain send information to the gut, but the gut sends information to the brain,” said Michael Gershon, professor of pathology and cell biology at Columbia University. “And much of that we don’t yet understand.”

Gershon was one of nearly 200 scientists gathered at Duke last Friday for Gastronauts, a symposium exploring how our twisty, slimy guts and our twisty, slimy brains communicate with each other. By decoding the cellular and molecular messaging behind this gut-brain chatter, these researchers hope to gain insight into a wide array of modern health challenges, from obesity to Alzheimer’s.

Scientists gathered in the Trent Semans Great Hall for the Gastronauts poster session

Nearly 200 scientists gathered in the Trent Semans Great Hall Sept. 9 for Gastronauts, sponsored by the Duke Institute for Brain Sciences.

Even if you sever all nerve connections between the brain and the gut, Gershon explained, your digestive tract will still carry on all that squeezing and acid-secreting necessary to digest food. The gut’s ability to ‘direct its own traffic’ led Gershon to dub the gut’s nervous system our “Second Brain.”

“The brain in the head deals with the finer things in life like religion, poetry, politics, while the brain in the gut deals with the messy, dirty, disgusting business of digestion,” Gershon said.

Our head brain and our gut brain talk to each other via long nerve fibers, such as a bundle of nerve cells called the vagus nerve that links the central nervous system to our abdominal organs, or via chemical signals, such as the neurotransmitter serotonin. Talks throughout the day delved into different aspects of these interactions – from how eating sugar can change our perception of taste to how the make-up of our gut microbiome might influence neural connectivity in the brain.

An illustration of human viscera

Our twisty loopy intestines can operate independently of our brains.

Duke professor Warren Grill presented his latest research on electrical stimulation of the vagus nerve. In projects led by graduate student Nikki Pelot and senior Eric Musselman, his group is building computer models to simulate the effects of electrical pulses on individual nerve cells within the vagus. These models might allow researchers to design devices to specifically block electrical signals going to the gut, a treatment that has been shown to help with obesity, Grill said.

And though we may think of the gut as the second brain, we should all remember that it came first, Duke professor Diego Bohórquez reminded the audience in the opening remarks.

“I like to say the gut is actually the first brain,” said Bohórquez. “If you go back to seafloor organisms, that was the first nervous system that was assembled.”

 

 

 

Kara J. Manke, PhD


Post by Kara Manke

LHC Reveals No New Physics Yet, but Duke Scientists Stay the Hunt

For particle physicists, “expect the unexpected” is more than just a catchy tagline.

Duke scientists on the Large Hadron Collider’s (LHC’s) ATLAS collaboration are on the hunt for hints of the unexpected: new, undiscovered particles or forces that could point to theories beyond the remarkably accurate, yet clearly incomplete, Standard Model of physics.

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The Duke physics team at CERN this summer, gathered in front of a model of one of the LHC’s superconducting electromagnets. (Left to right: Ifeanyi Achu, Emily Stump, Elisa Zhang, Hannah Glaser, Wei Tang, Spencer Griswold, Andrea Bocci, Minyu Feng, Shu Li and Al Goshaw).

But the tsunami of new data coming out of the LHC’s current run, which began May of this year, has yet to provide any promising clues. Notably, at the ICHEP conference in Chicago, ATLAS collaboration members presented new results showing that an intriguing “bump” observed in 2015 data — speculated to be the first evidence of a completely new particle six times the mass of the Higgs — was likely just a statistical fluctuation in the data.

“It was quite amazing,” said Duke physics professor Al Goshaw, a member of the ATLAS collaboration. “With this new data there should have been a very clear signal, and there is nothing. It’s just absolutely gone.”

Goshaw has spent much of the summer at CERN, leading a team of undergraduate and graduate scientists crunching the numbers on the new data. Undeterred by the results presented in Chicago, he says the Duke team is still hard at work searching for other massive new particles.

“Our plan is to take the full data set collected in 2016 and extend the search for a new force-carrying particle up to much higher energies,” Goshaw said. “The search will go up to about 25 times the mass of the top quark or 35 times the mass of the Higgs.” They aim to have the results of this analysis ready by early 2017.

Why all the interest in tracking down these massive new particles?

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Particle and energy spray recorded following a high-energy proton-proton collision event at the LHC in May. (Credit: CERN)

Goshaw says there are a myriad of alternative theories to the standard model, so many that trying to test specific predictions of individual models would be prohibitively time-consuming.

“But there is one prediction which they almost all make, and that is that there should be additional massive particles beyond those contained in the standard model,” Goshaw said. “So a generic way to search is to look for the new forces which are indicated by a force carrier, a massive new particle.”

The new data, collected at higher energies than the 2010-2012 run and with higher “brightness” or luminosity than the 2015 run, gives physicists the best chance yet of spotting an elusive new particle.

However, it’s not always looking at a plot and looking for a little bump, Goshaw says. Physicists, including the Duke team, are also utilizing the new data to perform highly precise tests of the standard model.

“The precision tests are really trying to find cracks in the standard model,” Goshaw said. “There could be particles that are so massive that we cannot detect them, but they may appear as subtle deviations in standard model predictions.”

But for now, the tried-and-true still holds. “It is quite extraordinary that, with these beautiful tests, everything is still described by the standard model,” Goshaw said.

Kara J. Manke, PhD

Post by Kara Manke

Fledgling Physicists Embark for the LHC

For physics student Hannah Glaser, taking off for a summer of hands-on research at the world’s largest particle collider is both exciting and terrifying.

But, Glaser says, joining the thousands of scientist at work at the Large Hadron Collider (LHC) also feels a lot like going home.

“It’s such a huge relief to finally be in a group of people who who are interested in the same exact kind of problems that you are,” said Glaser, a rising junior at Virginia Tech. “It really is just this ridiculous nerdy feeling when you finally meet a group of people who have the same obsession with math and science.”

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Undergraduate physicists embarking for a summer at the LHC, posed in front of a map of CERN and neighboring town St. Genis hand-drawn by physics professor Al Goshaw. From left: Wei Tang (Duke), Ifeanyi Achu (Southern Methodist University), Spencer Griswold (Clarkson University), Elisa Zhang (Duke), Emily Stump (Williams College) and Hannah Glaser (Virginia Tech).

Glaser is among six undergraduates — two from Duke and four from other institutions — who will be working alongside Duke scientists at the LHC’s ATLAS experiment this summer. Each will tackle a bite-sized piece of the immense particle physics project, primarily by helping to analyze the massive amounts of data generated by the collider.

“Just going to CERN will be a mind-blowing experience,” said Ifeanyi Achu, a junior at Southern Methodist University, at an orientation event at Duke last week. “I’m looking forward to getting a window into what life could be like as a physics researcher.”

Before setting off for CERN, the group spent the month of June with other REU students on Duke’s campus, learning the basics of quantum mechanics and Root, a software platform used CERN and other particle accelerators around the world.

In addition to grappling with complex physics, the students also had to prepare for the more practical aspects of spending six weeks abroad – like the fact that they will be living in the French town of St. Genis while working in Switzerland, requiring that they regularly cross the border and navigate among two or more currencies and languages.

However, the thrill of spending time with some of the world’s biggest experiments should make the travel anxiety worth it.

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Duke student Wei Tang hopes to get a picture with a giant LHC detector while working at CERN this summer. (Credit: CERN)

“I’m definitely looking forward to taking a picture with a giant detector,” said Wei Tang, a Duke junior majoring in physics and computer science.

As members of the ATLAS experiment, The Duke high-energy physics team hopes to spot particles or forces not predicted by the Standard Model of physics, the theoretical framework that currently forms the basis of our physical understanding of the universe. New particles or forces could provide clues to solving some of the mysteries that remain in physics, such as what is the nature of dark matter.

“This is probably the most exciting year for the LHC,” said Duke physicist Al Goshaw, who will be onsite advising the students for part of the summer. “Data taken in this run really offers an extraordinary opportunity to look for physics beyond the standard model because it is the first time the LHC is operating at its full potential. It really could be the discovery run, and we are excited to be involved in that.”

But even if new discoveries aren’t made this summer, the students are still thrilled to be a part of the experiment.

“To know that you have done just a tiny bit of science at CERN – it’s just a dream come true for anyone interested in particle physics,” Glaser said.

Kara J. Manke, PhD

Post by Kara Manke

Cracking a Hit-and-Run Whodunit — With Lasers

The scratch was deep, two feet long, and spattered with paint flecks. Another vehicle had clearly grazed the side of Duke graduate student Jin Yu’s silver Honda Accord.

But the culprit had left no note, no phone number, and no insurance information.

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Duke graduate student Jin Yu used laser-based imaging to confirm the source of a large scratch on the side of her car. Paint samples from an undamaged area on her Honda Accord (top left) and a suspected vehicle (top right) gave her the unique pump-probe microscopy signatures of the pigments on each car. The damaged areas of the Honda (bottom left) and the suspected vehicle on right (bottom right) show pigment signatures from both vehicles.

The timing of the accident, the location of the scratch, and the color of the foreign paint all pointed to a likely suspect: another vehicle in her apartment complex parking lot, also sporting a fresh gash.

She had a solid lead, but Yu wasn’t quite satisfied. The chemistry student wanted to make sure her case was rock-solid.

“I wanted to show them some scientific evidence,” Yu said.

And lucky for her, she had just the tools to do that.

As a researcher in the Warren Warren lab, Yu spends her days as scientific sleuth, investigating how a laser-based tool called pump-probe microscopy can be used to differentiate between individual pigments of paint, even if they appear identical to the human eye.

The team is developing the technique as a way for art historians and conservators peer under the surface of priceless paintings, without causing damage to the artwork. But Yu thought there was no reason the technique couldn’t be used for forensics, too.

“The idea popped into my mind — car paint is made up of pigments, just like paintings,” Yu said. “So, if I can compare the pigments remaining on my car with the suspected car, and they match up, that would be a pretty nice clue for finding the suspected car.”

Using a clean set of eyebrow tweezers, Yu carefully gathered small flecks of paint from her car and from the suspected vehicle and sealed them up inside individual Ziploc bags. She collected samples both from the scratched up areas, where the paint was mixed, and from undamaged areas on both cars.

She left a note on the car, citing the preliminary evidence and stating her plan to test the paint samples. Then, back at the lab, she examined all four samples with the pump-probe microscope. Unlike a standard optical microscope, this device illuminates each sample with a precisely timed series of laser pulses; each pigment absorbs and then re-emits this laser light in a slightly different pattern depending on its chemical structure, creating a unique signature.

Optical-Microscope-and-Note

After finding the gash on her Accord (top left), Yu left a note (top right) on the car that she suspected of having caused the accident. Under an optical microscope, samples from damaged areas on the cars show evidence of the same two kinds of paint (bottom). Yu used pump-probe microscopy to confirm that the pigments in the paint samples matched.

The samples from the undamaged areas gave her the characteristic pigment signatures from both of the two vehicles.

She then looked at the paint samples taken from the scratched areas. She found clear evidence of paint pigment from the suspected car on her Honda, and clear evidence of paint pigment from her Honda on the suspected car. This was like DNA evidence, of the automotive variety.

Fortunately, the owner of the suspect vehicle contacted Yu to confess and pay to have her car fixed, without demanding the results of the paint analysis. “But it was reassuring to have some scientific evidence in case she denied the accident,” Yu said.

Yu says she had no interest in forensic science when she started the investigation, but the experience has certainly piqued her curiosity.

“I had never imagined that I can use pump-probe microscopy for forensic science before this car accident happened,” Yu said. “But I think it shows some interesting possibilities.”

Kara J. Manke, PhD

Post by Kara Manke

LHC Reboot Promises Piles of New Data for Duke Physicists

Undeterred by a recent weasel incursion, CERN announced last week that the Large Hadron Collider (LHC) is back up and running for the 2016 season, smashing protons together at nearly the speed of light and creating exotic forms of matter in the debris.

Back at Duke, students and professors collaborating on LHC’s ATLAS experiment are eager to see if the 2016 run provides any hint of surprising new physics.

“It’s a really exciting time,” said Duke graduate student Douglas Davis. “Hopefully something comes out of this new data that we aren’t expecting.”

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CERN’s Large Hadron Collider (LHC) creates exotic forms of matter by smashing together protons that are traveling at nearly the speed of light. This image depicts a collision detected by the LHC’s ATLAS Experiment, which Duke physicists collaborate on, during beam commissioning in April. (Credit: CERN)

Since the early 1970s, physicists have relied on the Standard Model of physics to explain all the most basic bits of matter in the universe and the forces through which they interact. And it has performed remarkably well at describing all of the curious new particles the LHC has created, from the magnificent Higgs Boson to that quirky pentaquark spotted last year.

But the Standard Model can’t quite explain everything. For instance, it cannot reconcile gravity – the force whose existence we verify every time we knock over a coffee mug or drop a pen – or dark matter, which physicists know exists from observations of twisted galaxies in the cosmos.

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One of the early proton-proton collisions with recorded by ATLAS on 23 April 2016. The picture shows the very inner core of the ATLAS detector where the two beams of proton bunches from the LHC collide . In this event the colliding protons give birth to ten primary interactions, shown in white. The reconstructed tracks of the particles produced in those interactions are drawn in yellow. (Credit: CERN)

During the upcoming run, the Large Hadron Collider will be operating at its full design capacity, smashing proton bunches at energies of  13 TeV (trillion electron-volts), which is almost twice the collision energy it was capable of during the 2009 to 2013 “Run 1” that discovered the Higgs.

For the 2016 re-boot, they have also increased the “luminosity” of the beams, narrowing the size of the proton bunches to boost the number of collisions per pass by five or six times – resulting in five to six times more data.

To a particle physicist, more energy and more data means a better chance of finding anomalies in the Standard Model that could lend credence to alternate theories, like supersymmetry or string theory, or point in an entirely new direction all together.

“Anything that is even a hint of something new or non-expected these days gets everyone abuzz.” said Davis. “Everyone is waiting on pins and needles for something to happen.”

Most of the excitement in the physics world is currently over a “bump” at 750 GeV observed during the 2015 run. If confirmed, this signal could mean the discovery of a completely new particle that is six times heavier than the Higgs. But, it could also just be a statistical fluctuation.

“There is a huge amount of excitement now because soon after start-up in a few months, we should be able to determine whether that bump is real or not,” said physics Professor Mark Kruse, who leads Duke’s ATLAS team. “I’m right on the fence for whether it could be real or not real, but would probably bet that it’s not. It certainly doesn’t belong to the standard model, but unfortunately it also doesn’t fit very nicely into any of the favored contenders to replace the standard model.”

Med_JiveXML_296942_34013839-YX-RZ-RZ-2016-04-26-22-18-43

A view of the proton collision debris field looking down the beam line (left) and from the side of the beam line (bottom right). On the top right, a zoomed-in view of the proton interaction region, showing the locations where they collide (white squares) and the reconstructed tracks. (Credit: CERN)

The Duke team won’t be focusing all its energy there. Kruse says they have researchers working on a wide variety of projects, from searching for new dark matter candidates to closely analyzing rare Standard Model events.

Davis plans to employ an analysis technique called AIDA, originally developed by Kruse, his advisor, and Kruse’s first graduate student, Sebastian Carron. Davis will use the technique to search for anomalies in a rare Standard Model process that produces two top quarks along with a Z or W boson.

And even if everything works out just as the Standard Model predicts, Davis still thinks the fact that we can collect this data at all is still pretty impressive.

“It may seem kind of boring to see everything work exactly as the Standard Model says it should, but at the same time it’s like – man, this was written down in the seventies and they probably would never have dreamed of being able to observe all this,” said Davis. “But so far, it works perfectly.”

Kara J. Manke, PhD

Post by Kara Manke

Sandcastles of Stars Make Stable Structures

Sandcastles are not known for their structural stability; even the most steadfast seaside fortresses won’t survive a crashing wave or a bully’s kick.

But what if, instead of round grains of sand, you built your castle from tiny stars?

Duke graduate student Yuchen Zhao tests the stability of a tower made from six-armed stars or “hexapods.”

Duke graduate student Yuchen Zhao has spent the last year studying such “sandcastles of stars” — towers crafted from hundreds of six-armed stars or “hexapods” which bear a remarkable resemblance to the jacks you might have played with as a kid.

To build these towers, Zhao simply pours the stars into a hollow tube, and then removes the tube. But unlike columns of sand, these towers stand on their own, stay up when shaken, and can even bear up to twice their own weight.

“When you remove the support, you see that the star particles have really jammed together!” said Zhao. “Nobody understands exactly how this rigidity comes about.”

Sand is a classic example of a granular material, and like other types of granular materials — rice, flour, marbles, or even bags of jacks — it sometimes pours like a liquid, and other times “jams” up, forming a rigid solid.

The physics of jamming has been well-studied for round and spherical particles, says Duke physics professor Bob Behringer, an expert on granular materials who advises Zhao. But much less is understood about jamming in particles with more complex shapes, like hexapods.

“As soon as you move away from spheres, you can create jammed systems at the drop of a hat,” said Behringer. “People think they understand these systems, but there are still a lot of outstanding questions about how they behave: how do they break? Or how do they respond to shear stress?”

These questions aren’t only interesting to physicists, Behringer says. Architects Karola Dierichs and Achim Menges, collaborators on the project, are experimenting with using custom-designed granular materials, from hexapods to hooks, to create structures like walls and bridges.

Similar to a sandcastle or a bird’s nest, structures made this way can be porous, light, recyclable and even adaptable.

“One of their big ideas is, can you actually design a structure that could build itself or be constructed at random, rather than designing something very precise?” said Zhao.

Zhaos says that the first goal of his project was simply to explore the physical limits of towers built from hexapods. To do so, he constructed towers out stars ranging in size from 2 to 10 centimeters and made from two different materials. For each combination, he investigated how high he could build the tower before it collapsed. He then subjected the towers to various stressors, including vibration, tilting, and added weight.

One of the most surprising findings, Zhao said, was that the friction between the particles — whether they were made of smooth acrylic or rougher nylon — had the biggest impact on the stability of the towers. He also noted that when these towers collapse, they don’t just fall over in a heap, they fall apart in a series of mini avalanches.

CT-Scan of jacks

A 3D illustration of a tower of stars reconstructed from CT-scan data. The red dots indicate the points of contact between the stars. Image courtesy of Jonathan Barés.

The team has published this initial study, which they hope will be used as a “handbook of mechanical rules” to improve the design of aggregate structures, in a special edition of the journal Granular Matter.

As a next step in the experiment, Zhao and collaborator Jonathan Barés are using a CT scanner in the Duke SMIF lab to take detailed 3D pictures of the “skeletons” of these structures. With the data, they hope to find a better understanding of how all the individual contacts between stars add up to a stable tower.

“It is amazing to see how these particles can make stable structures capable of supporting big loads,” said Jonathan Barés, who is a former Duke postdoc. “Just changing a small property of the particles — their ability to interlock — creates a dramatic change in the behavior of the system.”

CITATION: “Packings of 3D stars: stability and structure.” Yuchen Zhao, Kevin Liu, Matthew Zheng, Jonathan Barés, Karola Dietrichs, Achim Menges, and Robert P. Behringer. Granular Matter, April 11, 2016. DOI: 10.1007/s10035-016-0606-4

Kara J. Manke, PhD

Post by Kara Manke

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