activity
20232026
most citedFundamental limitations of dual energy X-ray scanners for cargo content atomic number discrimination

6 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2026

Computer vision-based neural networks for radioisotope identification in urban environments

Masen Bachleda, Alea Minar, Ayush Panigrahy +1

Algorithm development for radioisotope identification in mobile urban search scenarios face significant challenges from non-uniform backgrounds, momentary source encounters, and se…

physics.ins-det2024

Atomic number estimation of dual energy cargo radiographs: initial experimental results using a semiempirical transparency model

Peter Lalor, Areg Danagoulian

To combat the risk of nuclear smuggling, radiography systems are deployed at ports to scan cargo containers for concealed illicit materials. Dual energy radiography systems enable…

eess.IV2023★ 4 cited

Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model

Peter Lalor, Areg Danagoulian

Dual energy cargo inspection systems are sensitive to both the area density and the atomic number of an imaged container due to the dependence of photon attenuation. The abilit…

physics.ins-det2023★ 5 cited

A Semiempirical Transparency Model for Dual Energy Cargo Radiography Applications

Peter Lalor, Areg Danagoulian

Cargo containers passing through ports are scanned by non-intrusive inspection systems to search for concealed illicit materials. By using two photon beams with different energy sp…

nucl-ex2023★ 6 cited

Fundamental limitations of dual energy X-ray scanners for cargo content atomic number discrimination

Peter Lalor, Areg Danagoulian

To combat the risk of nuclear smuggling, radiography systems are deployed at ports to scan cargo containers for concealed illicit materials. Dual energy radiography systems enable…