REVIEW 2 cited by
Additive manufacturing of fine-granularity optically-isolated plastic scintillator elements
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Plastic scintillator detectors are used in high energy physics as well as for diagnostic imaging in medicine, beam monitoring on hadron therapy, muon tomography, dosimetry and many security applications. To combine particle tracking and calorimetry it is necessary to build detectors with three-dimensional granularity, i.e. small voxels of scintillator optically isolated from each other. Recently, the 3DET collaboration demonstrated the possibility to 3D print polystyrene-based scintillators with a light output performance close to that obtained with standard production methods. In this article, after providing a further characterization of the developed scintillators, we show the first matrix of plastic scintillator cubes optically separated by a white reflector material entirely 3D printed with fused deposition modeling. This is a major milestone towards the 3D printing of the first real particle detector. A discussion of the results as well as the next steps in the R&D is also provided.
Forward citations
Cited by 2 Pith papers
-
Beam test results of a fully 3D-printed plastic scintillator particle detector prototype
A fully 3D-printed, 5x5x5 cube plastic scintillator detector matched conventional cast detectors in light yield, with modest crosstalk and uniform response.
-
The Hyper-Kamiokande experiment: input to the update of the European Strategy for Particle Physics
A strategy document projecting Hyper-Kamiokande's 10-year sensitivity to leptonic CP violation, neutrino mass ordering, proton decay, and astrophysical neutrinos, based on simulated analyses and assumed systematic unc...
Discussion (0). Continue with ORCID to comment.