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Distant blazar OP 313 emits very high-energy gamma rays above 100 GeV

An international team of astronomers have employed one of the Large-Sized Telescopes (LSTs) at the Cherenkov Telescope Array Observatory (CTAO) to observe a distant blazar known as OP 313. Results of the observational campaign, published May 26 on the arXiv preprint server, shed more light on the behavior and nature of this object.

Blazars are extremely compact quasi-stellar objects (quasars) associated with supermassive black holes (SMBHs) at the centers of active, giant elliptical galaxies. They are the most luminous and extreme subclass of active galactic nuclei (AGNs). The characteristic features of blazars are highly collimated relativistic jets oriented very close to our line of sight.

Based on their optical emission properties, astronomers generally divide blazars into two classes: flat-spectrum radio quasars (FSRQs) that feature prominent and broad optical emission lines, and BL Lacertae objects (BL Lacs), which do not.

Open-source software unlocks rapid DNA structure generation and analysis in one workflow

Computational chemists at the University of Amsterdam’s Van ‘t Hoff Institute for Molecular Sciences have developed a comprehensive software suite to create accurate models of DNA in biomolecular assemblies. Called MDNA, the user-friendly molecular modeling toolkit helps biochemists, molecular biologists, bioinformaticians, and biophysicists to visualize and analyze DNA structures and perform accurate simulations.

The development of the MDNA suite, led by associate professor Jocelyne Vreede, has been presented in a paper in Nucleic Acids Research.

The software is open-source and publicly available through Figshare and Github. It is easily accessible, providing inspiration to any scientist with an interest in DNA. It has been thoroughly tested by students in mathematics, chemistry and biology, some of whom had hardly any programming experience.

Nanomagnets control diamond qubits, pointing to more scalable quantum hardware

Quantum computing, once only a theoretical possibility, promises to deliver faster, more energy-efficient computers—but only if scientists can build and scale the hardware needed to run the machines. New research from Virginia Commonwealth University brings scientists one small step closer to quantum computing at a practical scale, which could help dramatically reduce energy usage and computing times in some industries.

In the study, recently published in Nature Communications, the researchers used minuscule magnets—twice as small as the wavelength of light—to create the building blocks of quantum computing, pioneering a technique that could decrease the physical space needed to create a viable quantum computer.

“This work has the potential to advance quantum computing,” said Jayasimha Atulasimha, Ph.D., a professor of mechanical and nuclear engineering in VCU’s College of Engineering and the study’s principal investigator. “We’re solving a specific problem for spin-based quantum computing, which has the potential for scaling.”

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