Teresa Montaruli

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Full Professor

Université de Genève

Switzerland

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About

Teresa Montaruli is a Full Professor at Université de Genève, Switzerland. Her research primarily focuses on astrophysics, with recent articles that delve into gamma-ray emissions, neutrino physics, and innovative technologies for particle detection. She has contributed significantly to studies involving silicon photomultipliers for space missions and the detection of pulsars and gamma-ray bursts.

Recent Grants

Grant: Close

Development of the next generation of large SiPM camera for Large Size Telescopes

Open Date: 2021-06-01

Close Date: 2025-05-01

Grant: Close

Multi-messenger astrophysics with IceCube and innovative telescopes for CTA

Open Date: 2018-05-01

Close Date: 2022-07-01

Grant: Close

CTA

Open Date: 2017-09-01

Close Date: 2024-12-01

Grant: Close

SENSE - a roadmap for the ideal low light level sensor development

Open Date: 2016-09-01

Close Date: 2019-08-01

Grant: Close

Swiss contribution to the construction of innovative cameras for middle and small size telescopes of the Cherenkov Telescope Array

Open Date: 2016-06-01

Close Date: 2017-12-01

Articles (20)

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2022

Collaborators (46)

Joanna Ślot

University of Łódź

POLAND

Teresa Montaruli

Research Interests

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About

Recent Grants

Articles (20)

Crystal Eye: All sky MeV monitor with high precision real-time localization

IceCube Search for Neutrino Emission from X-Ray Bright Seyfert Galaxies

Performance and radiation damage mitigation strategy for silicon photomultipliers on LEO space missions

GRB 221009A: Observations with LST-1 of CTAO and Implications for Structured Jets in Long Gamma-Ray Bursts

Detection of the Geminga pulsar at energies down to 20 GeV with the LST-1 of CTAO

Measurement of Atmospheric Neutrino Oscillation Parameters Using Convolutional Neural Networks with 9.3 Years of Data in IceCube DeepCore

Detection of RS Oph with LST-1 and modelling of its HE/VHE gamma-ray emission

Measurement of the inelasticity distribution of neutrino-nucleon interactions for 80 GeV< Eν<560 GeV with IceCube DeepCore

Observation of the Crab Nebula with the Single-Mirror Small-Size Telescope stereoscopic system at low altitude

FANSIC: A Fast ANalog SiPM Interface Circuit for the readout of large silicon photomultipliers

Characterisation of the MUSIC ASIC for large-area silicon photomultipliers for gamma-ray astronomy

Absolute calibration of LHAASO WFCTA camera based on LED

Corrigendum to “Performance test of the electromagnetic particle detectors for the LHAASO experiment” [Nucl. Instrum. Methods Phys. Res. A 1001 (2021) 165193] (Nuclear Inst. and Methods in Physics Research, A (2021) 1001, (S0168900221001777), (10.1016/j.nima.2021.165193))

Density of GeV muons in air showers measured with IceTop

Detection of astrophysical tau neutrino candidates in IceCube

Evidence for neutrino emission from the nearby active galaxy NGC 1068

Exploring Lorentz Invariance Violation from Ultrahigh-Energy γ Rays Observed by LHAASO

First all-flavor search for transient neutrino emission using 3-years of IceCube DeepCore data

Framework and tools for the simulation and analysis of the radio emission from air showers at IceCube

Graph Neural Networks for low-energy event classification &amp; reconstruction in IceCube

Collaborators (46)

Joanna Ślot

Jonas Hellrung

Catherine De Clercq

David Koskinen

nicola giglietto

Brian Clark

Felix Schlüter

Adriano Di Giovanni

Miaochen Jin

Krijn de Vries

S Gomez

Stephen Sclafani

Andrea Chiavassa

Lu Lu

Nick van Eijndhoven

Juan Marcos Santander

Roberto Aloisio

Erin O'Sullivan

Ivan De Mitri

Davide Cerasole

David Gascon

Alexander Sandrock

Luis Del Peral

Roger Moore

Thomas Stuttard

Abdul Rehman

Erik Ganster

Elisa Resconi

Samvel Ter-Antonyan

Karen Andeen

Else Magnus

Marek Kowalski

Tyce DeYoung

Yarno Merckx

Gwenhaël De Wasseige

Ignacio Taboada

Justin Vandenbroucke

Rasha Abbasi

Elisa Prandini

Jose Luis Contreras González

James Beatty

Pascal Gutjahr

Carlos Pérez de los Heros

Tomohiro Inada

Wolfgang Rhode

Jiří Blažek

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Graph Neural Networks for low-energy event classification & reconstruction in IceCube