The SkyLLH framework for IceCube point-source search

The IceCube Collaboration

The SkyLLH framework for IceCube point-source search

The IceCube Collaboration

Chair of Experimental Physics with Cosmic Particles

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

Abstract

Hypothesis tests based on unbinned log-likelihood (LLH) functions are a common technique used in multi-messenger astronomy, including IceCube’s neutrino point-source searches. We present the general Python-based tool "SkyLLH", which provides a modular framework for implementing and executing log-likelihood functions to perform data analyses with multi-messenger astronomy data. Specific SkyLLH framework features for a new and improved time-integrated IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the support for a variety of point-source analysis types, such as stacked and time-variable searches, will be presented.

Original language	English
Article number	1073
Journal	Proceedings of Science
Volume	395
State	Published - 18 Mar 2022
Event	37th International Cosmic Ray Conference, ICRC 2021 - Virtual, Berlin, Germany Duration: 12 Jul 2021 → 23 Jul 2021

Cite this

@article{a7d48366601743e4929af71b211c271d,

title = "The SkyLLH framework for IceCube point-source search",

abstract = "Hypothesis tests based on unbinned log-likelihood (LLH) functions are a common technique used in multi-messenger astronomy, including IceCube{\textquoteright}s neutrino point-source searches. We present the general Python-based tool {"}SkyLLH{"}, which provides a modular framework for implementing and executing log-likelihood functions to perform data analyses with multi-messenger astronomy data. Specific SkyLLH framework features for a new and improved time-integrated IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the support for a variety of point-source analysis types, such as stacked and time-variable searches, will be presented.",

author = "\{The IceCube Collaboration\} and Tomas Kontrimas and Martin Wolf 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. Brostean-Kaiser and E. Resconi",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s) under the terms of the Creative Commons.; 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",

publisher = "Sissa Medialab Srl",

}

TY - JOUR

T1 - The SkyLLH framework for IceCube point-source search

AU - The IceCube Collaboration

AU - Kontrimas, Tomas

AU - Wolf, Martin

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 - Brostean-Kaiser, J.

AU - Resconi, E.

PY - 2022/3/18

Y1 - 2022/3/18

N2 - Hypothesis tests based on unbinned log-likelihood (LLH) functions are a common technique used in multi-messenger astronomy, including IceCube’s neutrino point-source searches. We present the general Python-based tool "SkyLLH", which provides a modular framework for implementing and executing log-likelihood functions to perform data analyses with multi-messenger astronomy data. Specific SkyLLH framework features for a new and improved time-integrated IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the support for a variety of point-source analysis types, such as stacked and time-variable searches, will be presented.

AB - Hypothesis tests based on unbinned log-likelihood (LLH) functions are a common technique used in multi-messenger astronomy, including IceCube’s neutrino point-source searches. We present the general Python-based tool "SkyLLH", which provides a modular framework for implementing and executing log-likelihood functions to perform data analyses with multi-messenger astronomy data. Specific SkyLLH framework features for a new and improved time-integrated IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the support for a variety of point-source analysis types, such as stacked and time-variable searches, will be presented.

UR - https://www.scopus.com/pages/publications/85145590100

M3 - Conference article

AN - SCOPUS:85145590100

SN - 1824-8039

VL - 395

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 1073

T2 - 37th International Cosmic Ray Conference, ICRC 2021

Y2 - 12 July 2021 through 23 July 2021

ER -

The SkyLLH framework for IceCube point-source search

Abstract

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