Analysis framework for Multi-messenger Astronomy with IceCube

The IceCube Collaboration

Analysis framework for Multi-messenger Astronomy with IceCube

The IceCube Collaboration

Physics and Astronomy

Stony Brook University

University of Maryland, College Park
Loyola University Chicago
German Electron Synchrotron
University of Canterbury
Université libre de Bruxelles
University of Copenhagen
The Oskar Klein Centre
University of Geneva
Karlsruhe Institute of Technology
University of Delaware
Harvard University
Marquette University
Pennsylvania State University
Friedrich-Alexander University Erlangen-Nürnberg
University of Wisconsin-Madison
Massachusetts Institute of Technology
South Dakota School of Mines & Technology
University of California at Irvine
University of California at Berkeley
Ohio State University
University of Wuppertal
Ruhr University Bochum
Technical University of Munich
University of Rochester
University of Padua
University of Kansas
Moscow Engineering Physics Institute
Lawrence Berkeley National Laboratory
RWTH Aachen University
Johannes Gutenberg University Mainz
Uppsala University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Combining observational data from multiple instruments for multi-messenger astronomy can be challenging due to the complexity of the instrument response functions and likelihood calculation. We introduce a python-based unbinned-likelihood analysis package called i3mla (IceCube Maximum Likelihood Analysis). i3mla is designed to be compatible with the Multi-Mission Maximum Likelihood (3ML) framework, which enables multi-messenger astronomy analyses by combining the likelihood across different instruments. By making it possible to use IceCube data in the 3ML framework, we aim to facilitate the use of neutrino data in multi-messenger astronomy. In this work we illustrate how to use the i3mla package with 3ML and present preliminary sensitivities using the i3mla package and 3ML through a joint-fit with HAWC Public dataset.

Original language	English
Article number	1098
Journal	Proceedings of Science
Volume	395
State	Published - Mar 18 2022
Event	37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany Duration: Jul 12 2021 → Jul 23 2021

Cite this

@article{69afe82d1b424e0d9c585b8149f067ff,

title = "Analysis framework for Multi-messenger Astronomy with IceCube",

abstract = "Combining observational data from multiple instruments for multi-messenger astronomy can be challenging due to the complexity of the instrument response functions and likelihood calculation. We introduce a python-based unbinned-likelihood analysis package called i3mla (IceCube Maximum Likelihood Analysis). i3mla is designed to be compatible with the Multi-Mission Maximum Likelihood (3ML) framework, which enables multi-messenger astronomy analyses by combining the likelihood across different instruments. By making it possible to use IceCube data in the 3ML framework, we aim to facilitate the use of neutrino data in multi-messenger astronomy. In this work we illustrate how to use the i3mla package with 3ML and present preliminary sensitivities using the i3mla package and 3ML through a joint-fit with HAWC Public dataset.",

author = "\{The IceCube Collaboration\} and Fan, \{Kwok Lung\} and John Evans and Michael Larson and R. Abbasi and M. Ackermann and J. Adams and Aguilar, \{J. A.\} and M. Ahlers and M. Ahrens and C. Alispach and Alves, \{A. A.\} and Amin, \{N. M.\} and R. An and K. Andeen and T. Anderson and G. Anton and C. Arg{\"u}elles and Y. Ashida and S. Axani and X. Bai and Balagopal, \{A. V.\} and A. Barbano and Barwick, \{S. W.\} and B. Bastian and V. Basu and S. Baur and R. Bay and Beatty, \{J. J.\} and Becker, \{K. H.\} and \{Becker Tjus\}, J. and C. Bellenghi and S. BenZvi and D. Berley and E. Bernardini and Besson, \{D. Z.\} and G. Binder and D. Bindig and E. Blaufuss and S. Blot and M. Boddenberg and F. Bontempo and J. Borowka and S. B{\"o}ser and O. Botner and J. B{\"o}ttcher and E. Bourbeau and F. Bradascio and J. Braun and S. Bron and J. Kiryluk",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s).; 37th International Cosmic Ray Conference, ICRC 2021 ; Conference date: 12-07-2021 Through 23-07-2021",

year = "2022",

month = mar,

day = "18",

language = "English",

volume = "395",

journal = "Proceedings of Science",

issn = "1824-8039",

}

TY - JOUR

T1 - Analysis framework for Multi-messenger Astronomy with IceCube

AU - The IceCube Collaboration

AU - Fan, Kwok Lung

AU - Evans, John

AU - Larson, Michael

AU - Abbasi, R.

AU - Ackermann, M.

AU - Adams, J.

AU - Aguilar, J. A.

AU - Ahlers, M.

AU - Ahrens, M.

AU - Alispach, C.

AU - Alves, A. A.

AU - Amin, N. M.

AU - An, R.

AU - Andeen, K.

AU - Anderson, T.

AU - Anton, G.

AU - Argüelles, C.

AU - Ashida, Y.

AU - Axani, S.

AU - Bai, X.

AU - Balagopal, A. V.

AU - Barbano, A.

AU - Barwick, S. W.

AU - Bastian, B.

AU - Basu, V.

AU - Baur, S.

AU - Bay, R.

AU - Beatty, J. J.

AU - Becker, K. H.

AU - Becker Tjus, J.

AU - Bellenghi, C.

AU - BenZvi, S.

AU - Berley, D.

AU - Bernardini, E.

AU - Besson, D. Z.

AU - Binder, G.

AU - Bindig, D.

AU - Blaufuss, E.

AU - Blot, S.

AU - Boddenberg, M.

AU - Bontempo, F.

AU - Borowka, J.

AU - Böser, S.

AU - Botner, O.

AU - Böttcher, J.

AU - Bourbeau, E.

AU - Bradascio, F.

AU - Braun, J.

AU - Bron, S.

AU - Kiryluk, J.

PY - 2022/3/18

Y1 - 2022/3/18

N2 - Combining observational data from multiple instruments for multi-messenger astronomy can be challenging due to the complexity of the instrument response functions and likelihood calculation. We introduce a python-based unbinned-likelihood analysis package called i3mla (IceCube Maximum Likelihood Analysis). i3mla is designed to be compatible with the Multi-Mission Maximum Likelihood (3ML) framework, which enables multi-messenger astronomy analyses by combining the likelihood across different instruments. By making it possible to use IceCube data in the 3ML framework, we aim to facilitate the use of neutrino data in multi-messenger astronomy. In this work we illustrate how to use the i3mla package with 3ML and present preliminary sensitivities using the i3mla package and 3ML through a joint-fit with HAWC Public dataset.

AB - Combining observational data from multiple instruments for multi-messenger astronomy can be challenging due to the complexity of the instrument response functions and likelihood calculation. We introduce a python-based unbinned-likelihood analysis package called i3mla (IceCube Maximum Likelihood Analysis). i3mla is designed to be compatible with the Multi-Mission Maximum Likelihood (3ML) framework, which enables multi-messenger astronomy analyses by combining the likelihood across different instruments. By making it possible to use IceCube data in the 3ML framework, we aim to facilitate the use of neutrino data in multi-messenger astronomy. In this work we illustrate how to use the i3mla package with 3ML and present preliminary sensitivities using the i3mla package and 3ML through a joint-fit with HAWC Public dataset.

UR - https://www.scopus.com/pages/publications/85145019199

M3 - Conference article

SN - 1824-8039

VL - 395

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 1098

T2 - 37th International Cosmic Ray Conference, ICRC 2021

Y2 - 12 July 2021 through 23 July 2021

ER -

Analysis framework for Multi-messenger Astronomy with IceCube

Abstract

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