Skip to main content

Keeping the energy in the room

 

It may seem like technology advances year after year, as if by magic. But behind every incremental improvement and breakthrough revolution is a team of scientists and engineers hard at work. 

UC Santa Barbara Professor Ben Mazin is developing precision optical sensors for telescopes and observatories. In a paper published in Physical Review Letters, he and his team improved the spectra resolution of their superconducting sensor, a major step in their ultimate goal: analyzing the composition of exoplanets.

"We were able to roughly double the spectral resolving power of our detectors," said first author Nicholas Zobrist, a doctoral student in the Mazin Lab.

"This is the largest energy resolution increase we've ever seen," added Mazin. "It opens up a whole new pathway to science goals that we couldn't achieve before."

The Mazin lab works with a type of sensor called an MKID. Most light detectors—like the CMOS sensor in a phone camera—are semiconductors based on silicon. These operate via the photo-electric effect: a photon strikes the sensor, knocking off an electron that can then be detected as a signal suitable for processing by a microprocessor.

An MKID uses a superconductor, in which electricity can flow with no resistance. In addition to zero resistance, these materials have other useful properties. For instance, semiconductors have a gap energy that needs to be overcome to knock the electron out. The related gap energy in a superconductor is about 10,000 times less, so it can detect even faint signals.

What's more, a can knock many electrons off of a superconductor, as opposed to only one in a semiconductor. By measuring the number of mobile electrons, an MKID can actually determine the energy (or wavelength) of the incoming light. "And the energy of the photon, or its spectra, tells us a lot about the physics of what emitted that photon," Mazin said.

Leaking energy

The researchers had hit a limit as to how sensitive they could make these MKIDs. After much scrutiny, they discovered that energy was leaking from the superconductor into the sapphire crystal wafer that the device is made on. As a result, the signal appeared weaker than it truly was.

In typical electronics, current is carried by mobile electrons. But these have a tendency to interact with their surroundings, scattering and losing energy in what's known as resistance. In a superconductor, two electrons will pair up—one spin up and one spin down—and this Cooper pair, as it's called, is able to move about without resistance.

"It's like a couple at a club," Mazin explained. "You've got two people who pair up, and then they can move together through the crowd without any resistance. Whereas a single person stops to talk to everybody along the way, slowing them down."

In a superconductor, all the electrons are paired up. "They're all dancing together, moving around without interacting with other couples very much because they're all gazing deeply into each other's eyes.

"A photon hitting the sensor is like someone coming in and spilling a drink on one of the partners," he continued. "This breaks the couple up, causing one partner to stumble into other couples and create a disturbance." This is the cascade of mobile electrons that the MKID measures.

But sometimes this happens at the edge of the dancefloor. The offended party stumbles out of the club without knocking into anyone else. Great for the rest of the dancers, but not for the scientists. If this happens in the MKID, then the will seem weaker than it actually was.

Fencing them in

Mazin, Zobrist and their co-authors discovered that a thin layer of the metal indium—placed between the superconducting sensor and the substrate—drastically reduced the energy leaking out of the sensor. The indium essentially acted like a fence around the dancefloor, keeping the jostled dancers in the room and interacting with the rest of the crowd.

They chose indium because it is also a superconductor at the temperatures at which the MKID will operate, and adjacent superconductors tend to cooperate if they are thin. The metal did present a challenge to the team, though. Indium is softer than lead, so it has a tendency to clump up. That's not great for making the thin, uniform layer the researchers needed.

But their time and effort paid off. The technique cut down the wavelength measurement uncertainty from 10% to 5%, the study reports. For example, photons with a wavelength of 1,000 nanometers can now be measured to a precision of 50 nm with this system. "This has real implications for the science we can do," Mazin said, "because we can better resolve the spectra of the objects that we're looking at."

Different phenomena emit photons with specific spectra (or wavelengths), and different molecules absorb photons of different wavelengths. Using this light, scientists can use spectroscopy to identify the composition of objects both nearby and across the entire visible universe.

Mazin is particularly interested in applying these detectors to exoplanet science. Right now, scientists can only do spectroscopy for a tiny subset of exoplanets. The planet needs to pass between its star and Earth, and it must have a thick atmosphere so that enough light passes through it for researchers to work with. Still, the signal to noise ratio is abysmal, especially for rocky planets, Mazin said.

With better MKIDs, scientists can use light reflected off the surface of a planet, rather than transmitted through its narrow atmosphere alone. This will soon be possible with the capabilities of the next generation of 30-meter telescopes.

The Mazin group is also experimenting with a completely different approach to the -loss issue. Although the results from this paper are impressive, Mazin said he believes the indium technique could be obsolete if his team is successful with this new endeavor. Either way, he added, the scientists are rapidly closing in on their goals.

 

 

Comments

Popular posts from this blog

Computers that power self-driving cars could be a huge driver of global carbon emissions

In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate as many greenhouse gas emissions as all the data centers in the world today.  Join our   whatsapp group for latest articles updates. That is one key finding of a new study from MIT researchers that explored the potential energy consumption and related carbon emissions if autonomous vehicles are widely adopted. The data centers that house the physical computing infrastructure used for running applications are widely known for their large carbon footprint: They currently account for about 0.3 percent of global greenhouse gas emissions, or about as much carbon as the country of Argentina produces annually, according to the International Energy Agency. Realizing that less attention has been paid to the potential footprint of ...

Novel design helps develop powerful microbatteries

Translating electrochemical performance of large format batteries to microscale power sources has been a long-standing technological challenge, limiting the ability of batteries to power microdevices, microrobots and implantable medical devices. University of Illinois Urbana-Champaign researchers have created a high-voltage microbattery (> 9 V), with high-energy and -power density, unparalleled by any existing battery design.  Join our   whatsapp group for latest articles updates. Material Science and Engineering Professor Paul Braun (Grainger Distinguished Chair in Engineering, Materials Research Laboratory Director), Dr. Sungbong Kim (Postdoc, MatSE, current assistant professor at Korea Military Academy, co-first author), and Arghya Patra (Graduate Student, MatSE, MRL, co-first author) recently published their paper "Serially integrated ...

ChatGPT writes convincing fake scientific abstracts that fool reviewers in study

Could the new and wildly popular chatbot ChatGPT convincingly produce fake abstracts that fool scientists into thinking those studies are the real thing?  Join our   whatsapp group for latest articles updates. That was the question worrying Northwestern Medicine physician-scientist Dr. Catherine Gao when she designed a study—collaborating with University of Chicago scientists—to test that theory. Yes, scientists can be fooled, their new study reports. Blinded human reviewers—when given a mix real and falsely generated abstracts—could only spot ChatGPT generated abstracts 68% of the time. The reviewers also incorrectly identified 14% of real abstracts as being AI generated. "Our reviewers knew that some of the abstracts they were being given were fake, so they were very suspicious," said corresponding author Gao, an instructor in pulmonary an...