Segev BenZvi

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Associate Professor

University of Rochester

United States

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About

Segev BenZvi is an Associate Professor at the University of Rochester, USA. His research focuses on astrophysics, with recent articles addressing topics such as dwarf active galactic nuclei, supernova classifications, and the analysis of baryonic acoustic oscillation measurements. His work utilizes data from the Dark Energy Spectroscopic Instrument (DESI) to improve understanding of cosmic structures and phenomena.

Recent Grants

Grant: Close

WoU-MMA: IceCube Data Analysis in the U.S.

Open Date: 2019-09-01

Close Date: 2022-08-31

Grant: Close

WoU-MMA: Collaborative Research: A Next-Generation SuperNova Early Warning System for Multimessenger Astronomy

Open Date: 2019-08-01

Close Date: 2022-07-31

Grant: Close

Experimental and Theoretical Studies of Elementary Particles and Fields

Open Date: 2015-04-01

Close Date: 2019-03-31

Articles (19)

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2021

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2021

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2020

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2020

Collaborators (25)

David Parkinson

Professor

University of Science and Technology

SOUTH KOREA

Segev BenZvi

Research Interests

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About

Recent Grants

Articles (19)

Full-Shape analysis of the power spectrum and bispectrum of DESI DR1 LRG and QSO samples

Erratum: “Tripling the Census of Dwarf AGN Candidates Using DESI Early Data” (2025, ApJ, 982, 10)

Tripling the Census of Dwarf AGN Candidates Using DESI Early Data

STag. II. Classification of Serendipitous Supernovae Observed by Galaxy Redshift Surveys

DESIVAST: Catalogs of Low-redshift Voids Using Data from the DESI Data Release 1 Bright Galaxy Survey

Missing components in ΛCDM from DESI Y1 baryonic acoustic oscillation measurements: Insights from redshift remapping

Prospects for detecting generic fast-time features in the neutrino lightcurve of nearby supernovae in neutrino telescopes

The Impact of Void-finding Algorithms on Galaxy Classification

Measuring fiber positioning accuracy and throughput with fiber dithering for the Dark Energy Spectroscopic Instrument

The rate of extreme coronal line emitting galaxies in the Sloan Digital Sky Survey and their relation to tidal disruption events

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

Updated Void Catalogs of the SDSS DR7 Main Sample

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

VAST: the Void Analysis Software Toolkit

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

A Survey of Active Galaxies at TeV Photon Energies with the HAWC Gamma-Ray Observatory

HAWC as a Ground-Based Space-Weather Observatory

Multiple Galactic Sources with Emission above 56 TeV Detected by HAWC

Development of an analysis to probe the neutrino mass ordering with atmospheric neutrinos using three years of IceCube DeepCore data: IceCube Collaboration

Collaborators (25)

David Parkinson

Glenn Spiczak

John Moustakas

Alec Habig

Antonella Palmese

Seshadri Nadathur

Yao-Yuan Mao

Enrique Gaztanaga

Edward Ford Schlafly

Steven Ahlen

Shaun Cole

Samridha Kunwar

James Kneller

Marta Colomer Molla

David Kieda

Matthias Plum

Licia Verde

Jöran Stettner

R. Wayne Springer

Radoslaw Wojtak

Kelly Douglass

Paolo Desiati

Vardan Baghmanyan

Chang Dong Rho

Malgorzata Siudek

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