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researcher

D. Carbone

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.ins-det3
  • nucl-ex1
ORCID 0000-0003-3601-7632
same name
  • D. Carbone — 17 papers, h 15
  • D. Carbone — 17 papers, h 29
  • D. Carbone — 5 papers
  • D. Carbone — 4 papers, h 20
  • D. Carbone — 3 papers, h 30
  • D. Carbone — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedOne-neutron transfer reaction in the 18O + 48Ti collision at 275 MeV

16 citations · 38 across the 4 of their papers we have counts for

collaborators
Showing physics.ins-detShow all

3 papers · 1 filter

physics.ins-det2023

Response of G-NUMEN LaBr3​(Ce) detectors to high counting rates

Elisa Maria Gandolfo, José Roberto Brandao Oliveira, Luigi Campajola +18

The G-NUMEN array is the future gamma spectrometer of the NUMEN experiment (Nuclear Matrix Element for the Neutrinoless double beta decay), to be installed around the object point…

physics.ins-det2023★ 10 cited

Characterization of a gas detector prototype based on Thick-GEM for the MAGNEX focal plane detector

I. Ciraldo, G. A. Brischetto, D. Torresi +18

A new gas detector prototype for the upgrade of the focal plane detector of the MAGNEX large-acceptance magnetic spectrometer has been developed and tested in view of the NUMEN pro…

physics.ins-det2023★ 12 cited

Identification of medium mass (A=60-80) ejectiles from 15 MeV/nucleon peripheral heavy-ion collisions with the MAGNEX large-acceptance spectrometer

G. A. Souliotis, S. Koulouris, F. Cappuzzello +13

An approach to identify medium-mass ejectiles from peripheral heavy-ion reactions in the energy region of 15 MeV/nucleon is developed for data obtained with a large acceptance magn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.