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researcher

G. Pellegrini

27 papers hereh-index 4012.9k citations264 works total

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

author position
  • first author1
  • middle author21
  • last author2

Across the 24 of 27 papers where every author was matched, so the position is known.

fields
  • physics.ins-det27
same name
  • G. Pellegrini — 9 papers, h 9
  • G. Pellegrini — 8 papers, h 22
  • G. Pellegrini — 2 papers, h 7
  • G. Pellegrini — 2 papers, h 21
  • G. Pellegrini — 1 paper, h 5
  • G. Pellegrini — 1 paper

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

activity
20092022
most citedBeam test results of a 16 ps timing system based on ultra-fast silicon detectors

182 citations · 734 across the 27 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

physics.ins-det2017★ 51 cited

Radiation Hardness of Thin Low Gain Avalanche Detectors

G. Kramberger, M. Carulla, E. Cavallaro +18

Low Gain Avalanche Detectors (LGAD) are based on a n++-p+-p-p++ structure where an appropriate doping of the multiplication layer (p+) leads to high enough electric fields for impa…

physics.ins-det2017★ 2 cited

Radiation hardness of small-pitch 3D pixel sensors up to HL-LHC fluences

J. Lange, S. Grinstein, M. Manna +4

A new generation of 3D silicon pixel detectors with a small pixel size of 50×50 and 25×100 μm2 is being developed for the HL-LHC tracker upgrades. The radiatio…

physics.ins-det2017★ 35 cited

Gain and time resolution of 45 μm thin Low Gain Avalanche Detectors before and after irradiation up to a fluence of 1015 neq​/cm2

J. Lange, M. Carulla, E. Cavallaro +14

Low Gain Avalanche Detectors (LGADs) are silicon sensors with a built-in charge multiplication layer providing a gain of typically 10 to 50. Due to the combination of high signal-t…

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