P. Green
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Lawrence Berkeley National Laboratoryas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9872-3685
- OpenAlex ID
- A5105194369, A5125517758as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 5
Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber,
Human search for a target on a textured background is consistent with a stochastic model,
Search for an anomalous excess of charged-current quasielastic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>ν</mml:mi><mml:mi>e</mml:mi></mml:msub></mml:math> interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction,
Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE,
Wire-cell 3D pattern recognition techniques for neutrino event reconstruction in large LArTPCs: algorithm description and quantitative evaluation with MicroBooNE simulation
← Authored by 5
Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber,
Human search for a target on a textured background is consistent with a stochastic model,
Search for an anomalous excess of charged-current quasielastic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>ν</mml:mi><mml:mi>e</mml:mi></mml:msub></mml:math> interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction,
Semantic segmentation with a sparse convolutional neural network for event reconstruction in MicroBooNE,
Wire-cell 3D pattern recognition techniques for neutrino event reconstruction in large LArTPCs: algorithm description and quantitative evaluation with MicroBooNE simulation
Affiliated with 2
Press Enter · cited answer in seconds
0 sources
Summary
P. Green is a human[1].