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Tag: Nuclear Science Division

First nuclear science experiment with world's most advanced gamma-ray detector

GRETA installed at the Facility for Rare Isotope Beams (Credit: Shumpei Noji, FRIB)

Inventing Team Science with the Cyclotron

Lawrence Berkeley Laboratory's scientific and technical staff arranged within and on top of the magnet of the 60-inch cyclotron. (September 1938) Photographer: Donald Cooksey, Berkeley Lab

GRETA Comes Online for a New Era of Nuclear Science

GRETA installed at the Facility for Rare Isotope Beams. (Credit: Shumpei Noji, FRIB) Alt text: Close-up of GRETA’s two separated halves, showing germanium detector modules arranged around a central opening and surrounded by dense bundles of multicolored wiring and tubing.

Magnetic Clues Inside Atomic Nuclei Help Explain How Elements Form In Stars

The SuN++ total absorption spectrometer at the Facility for Rare Isotope Beams (FRIB), used to determine the magnetic nature of the low-energy enhancement in atomic nuclei. (Credit: FRIB/MSU)

Breakthrough in Alpha Theranostics: First Images of Ac-225 in a Clinical PET Scanner

Side-by-side comparison of TOF-CGI image in a SIEMENS Vision scanner vs a SPECT image in a GE Hawkeye 4. The TOF-CGI images show much lower noise, which is reflected in superior SNR with respect to SPECT. (Credit: NSD's Applied Nuclear Physics Group)

Announcing Paul Fallon as Interim Nuclear Science Division Director

Paul Fallon speaks during the GRETA Dedication Review in Berkeley Lab's 88-Inch Cyclotron on April 23, 2025. The two-day event celebrated the completion of the GRETA (Gamma-Ray Energy Tracking Array) high-resolution gamma-ray detector system. (Credit: Robinson Kuntz, Berkeley Lab)

Nuclear Physicists Discover New Rule for Peppy Partner Picking

This schematic of the reaction shows an electron (purple) scattering from a nucleus by emitting a (purple) virtual photon, which knocks out a proton (blue). (Credit: Jefferson Lab)

Gradient Flow for Parton Distribution Functions: First Application to the Pion

The pion valence PDF is reconstructed from the moments, which are computed in this lattice QCD study, using a standard parametric form x^α(1−x)^β. The dark and light blue bands represent these theoretical results including and excluding the highest extracted moment. The remaining three bands correspond to phenomenological extractions from experimental data performed by different groups.

The Invisible Cannonball: Tracking Alpha Therapy for the Future of Cancer Treatment

Host Jennifer Pore (left) chats with Javier Caravaca Rodriquez (right foreground) and Oscar Henry Matousek (right background, with glasses) about the future of nuclear medicine. (Credit: Nuclear Science Division, Berkeley Lab)

Can the 88-Inch Cyclotron Save the Periodic Table?

NSD’s Jennifer Pore discusses Mendeleev’s Periodic Table, highlighting the importance of organizing elements by their true chemical properties if the periodic table is to retain its predictive power. (Credit: Corina Andreiou, Simon Fraser University)

Fast Machine Learning-Enabled Uncertainty Quantification for Radiological Mapping

Illustration of the radiological mapping and image reconstruction process, which plays a critical role in many nuclear security related applications. A detector system carried by an unmanned aerial vehicle scans the field to measure the counts due to environmental background and potential radioactive sources. The data collected during the mapping is processed on an edge computer. With traditional methods, such as MLEM, the major results output from the computer is a map showing the estimated radioactivity intensity. Using Bayesian methods, the major results output includes not only a radioactivity intensity estimate, but also their associated uncertainties. (Credit: Jayson R. Vavrek)

Energy-energy Correlators to Probe Particle Hadronization at Colliders

Energy-energy correlators (EECs) measure the correlations between two energy flows with an opening angle at colliders and can be described by the transverse momentum dependent di-hadron fragmentation functions (Credit: Feng Yuan)

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