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A New Search for Neutrino Point Sources with IceCube
Hans Niederhausen, Markus Ackermann, Jenni Adams, Juanan Aguilar, M. Ahlers, Maryon Ahrens, Cyril Martin Alispach, A. A. Alves, Najia Moureen Binte Amin, Rui An, K. Andeen, Tyler Anderson, G. Anton, C. Argüelles, Yosuke Ashida, Spencer Axani, X. Bai, Aswathi Balagopal, Anastasia Maria Barbano, S. W. Barwick, Benjamin Bastian, Vedant Basu, S. Baur, R. C. Bay, J. J. Beatty, K.-H. Becker, J. Becker Tjus, Chiara Bellenghi, S. BenZvi, D. Berley, Elisa Bernardini, D. Z. Besson, G. Binder, D. Bindig, E. Blaufuss, Summer Blot, Matthias Boddenberg, Federico Bontempo, Jürgen Borowka, S. Böser, O. Botner, Jakob Boettcher, Etienne Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Sally-Ann Browne, A. Burgman, Ryan T. Burley, Raffaela Busse, Michael Campana, Erin Carnie-Bronca, Chujie Chen, D. Chirkin, K. Choi, Brian Clark, Kenneth Clark, Lew Classen, Alan Coleman, Gabriel Collin, J. M. Conrad, Paul Coppin, Pablo Correa, D. F. Cowen, R. Cross, Christian Dappen, Pranav Dave, C. De Clercq, James DeLaunay, H.-P. Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, P. Desiati, Krijn de Vries, G. de Wasseige, Meike De With, T. DeYoung, Sukeerthi Dharani, Alejandro Diaz, J. C. Díaz–Vélez, Markus Dittmer, Hrvoje Dujmovic, M. Dunkman, M. A. DuVernois, Emily Dvorak, Thomas Ehrhardt, P. Eller, Ralph Engel, Hannah Erpenbeck, J. C. Evans, P. A. Evenson, Kwok Lung Fan, A. R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, C. Finley, Leander Fischer, D. B. Fox, A. Franckowiak, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, T. K. Gaisser, J. S. Gallagher, Erik Ganster, Alfonso Garcia, Simone Garrappa, L. Gerhardt, L. Gerhardt, Christian Gläser, Theo Glauch, Thorsten Glusenkamp, A. Goldschmidt, Javier González, Sreetama Goswami, Darren Grant, T. Grégoire, Spencer Griswold, Mehmet Gündüz, Christoph Günther, Christian Haack, Allan Hallgren, R. Halliday, L. Halve, F. Halzen, Martin Ha Minh, Kael Hanson, John Hardin, Alexander Harnisch, A. Haungs, Simon Hauser, Dustin Hebecker, K. Helbing, Felix Henningsen, Emma C. Hettinger, Stephanie Hickford, Joshua Hignight, Colton Hill, G. C. Hill, Kara Hoffman, R. Hoffmann, Tobias Hoinka, Benjamin Hokanson-Fasig, K. Hoshina, F. Huang, M. Huber, Thomas S. Huber, K. Hultqvist, Mirco Hünnefeld, Raamis Hussain, Seongjin In, N. Iovine, Aya Ishihara, Matti Jansson, George Japaridze, Minjin Jeong, B. J. P. Jones, Donghwa Kang, Woosik Kang, Xinyue Kang, A. Kappes, David Kappesser, T. Karg, Martina Karl, A. Karle, U. Katz, M. Kauer, Moritz Kellermann, J. L. Kelley, Ali Kheirandish, Ken'ichi Kin, Thomas Kintscher, J. Kiryluk, Ramesh Koirala, H. Kolanoski, Tomas Kontrimas, L. Köpke, Claudio Kopper, Sandro Kopper, D. J. Koskinen, Paras Koundal, Michael Kovacevich, M. Kowalski, Tetiana Kozynets, Emma Kun, Naoko Kurahashi Neilson, Neha Navnitkumar Lad, Cristina Lagunas Gualda, Justin Lanfranchi, Michael J Larson, Frederik Hermann Lauber, Jeffrey Lazar, Jiwoong Lee, Agnieszka Leszczyńska, Yijia Li, Massimiliano Lincetto, Qinrui Liu, Maria Liubarska, Elisa Lohfink, Cristian Jesús Lozano Mariscal, Lu Lü, Francesco Lucarelli, Andrew Ludwig, William Luszczak, Yang Lyu, W. Y., J. Madsen, K. B. M. Mahn, Yuya Makino, Sarah Mancina, Ioana Codrina Mariş, R. Maruyama, K. Mase, Thomas McElroy, Frank McNally, J. V. Mead, K. Meagher, Andrés Medina, Maximilian Meier, S. Meighen-Berger, Jessie Micallef, Daniela Mockler, T. Montaruli, R. W. Moore, R. Morse, Marjon Moulai, Richard Naab, Ryo Nagai, Uwe Naumann, Jannis Necker, Le Viet Nguyen, M. U. Nisa, Sarah Nowicki, Dave Nygren, A. Obertacke Pollmann, Marie Oehler, A. Olivas, Erin O’Sullivan, Hershal Pandya, Daria Pankova, Nahee Park, Grant Parker, Ek Narayan Paudel, Larissa Paul, C. Pérez de los Heros, Lilly Peters, Josh Peterson, Saskia Philippen, Damian Pieloth, Sarah Pieper, Martin Pittermann, A. Pizzuto, M. Plum, Yuiry Popovych, Alessio Porcelli, Maria Prado Rodriguez, P. Buford Price, B. Pries, G. T. Przybylski, Christoph Raab, Amirreza Raissi, M. Rameez, K. Rawlins, I. C. Rea, Abdul Rehman, Patrick Reichherzer, R. Reimann, Giovanni Renzi, E. Resconi, Simeon Reusch, W. Rhode, Mike Richman, Benedikt Riedel, Ella Roberts, Sally Robertson, Gerrit Roellinghoff, Martin Rongen, C. Rott, T. Ruhe, Dirk Ryckbosch, Devyn Rysewyk Cantu, I. Safa, Julian Saffer, Sebastian Sanchez Herrera, Alexander Sandrock, Joakim Sandroos, M. Santander, S. Sarkar, Sourav Sarkar, K. Satalecka, Maximilian Karl Scharf, Merlin Schaufel, Harald Schieler, Sebastian Schindler, P. Schlunder, Torsten C. Schmidt, A. Schneider, Judith Schneider, Frank Schröder, L. Schumacher, Georg Schwefer, D. Seckel, S. Seunarine, Ankur Sharma, S. Shefali, M. Silva, Barbara Skrzypek, Ben Smithers, Robert Snihur, Jan Soedingrekso, Dennis Soldin, Christian Spannfellner, G. M. Spiczak, Christian Spiering, Juliana Stachurska, M. Stamatikos, Todor Stanev, Robert Stein, Joeran Stettner, A. Steuer, T. Stezelberger, Timo Stürwald, Thomas Stuttard, G. W. Sullivan, I. Taboada, F. Tenholt, Samvel Ter-Antonyan, S. Tilav, Franziska Tischbein, Kirsten Tollefson, Lenka Tomankova, Christoph Tönnis, S. Toscano, Delia Tosi, Alexander Trettin, Maria Tselengidou, C. F. Tung, A. Turcati, Roxanne Turcotte, Colin Turley, Jean Pierre Twagirayezu, Bunheng Ty, Martin Unland Elorrieta, Nora Valtonen-Mattila, Justin Vandenbroucke, N. van Eijndhoven, D. Vannerom, J. V. Santen, Stef Verpoest, Matthias Vraeghe, C. Walck, Timothyblake Watson, Chris Weaver, Philip Weigel, Andreas Weindl, Matthew Weiss, Jan Weldert, Chris Wendt, Johannes Werthebach, Mark Weyrauch, N. Whitehorn, C. H. Wiebusch, Dawn Williams, Martin Wolf, K. Woschnagg, Gerrit Wrede, Johan Wilfried Wulff, Xianwu Xu, Yiqian Xu, Juan Pablo Yáñez, S. Yoshida, Shiqi Yu, Tianlu Yuan, Zelong Zhang
Bibliographic record
VenueProceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of Alberta
FundersOffice of Experimental Program to Stimulate Competitive ResearchDeutsches Elektronen-SynchrotronCollege of Engineering, Michigan State UniversityHelmholtz Alliance for Astroparticle PhysicsRWTH Aachen UniversityVetenskapsrådetKnut och Alice Wallenbergs StiftelseFonds Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftBelgian Federal Science Policy OfficeBundesministerium für Bildung und ForschungOffice of Polar ProgramsFonds De La Recherche Scientifique - FNRSPolarforskningssekretariatetScience and Technology Facilities CouncilMichigan State UniversityMarquette UniversityUniversity of Wisconsin-MadisonU.S. Department of EnergySantenNational Science Foundation
KeywordsNeutrinoPhysicsNeutrino detectorNeutrino astronomyDetectorObservatoryPoint sourceTelescopeFlux (metallurgy)Event (particle physics)Solar neutrino problemAstronomyAstrophysicsParticle physicsNeutrino oscillationSolar neutrinoOptics
Abstract
The IceCube Neutrino Observatory, deployed inside the deep glacial ice at the South Pole, is the largest neutrino telescope in the world. While eight years have passed since IceCube discovered a diffuse flux of high-energy astrophysical neutrinos, the sources of the vast majority of these neutrinos remain unknown. Here, we present a new search for neutrino point sources that improves the accuracy of the statistical analysis, especially in the low energy regime. We replaced the usual Gaussian approximations of IceCube's point spread function with precise numerical representations, obtained from simulations, and combined them with new machine learning-based estimates of event energies and angular errors. Depending on the source properties, the new analysis provides improved source localization, flux characterization and thereby discovery potential (by up to 30%) over previous works. The analysis will be applied to IceCube data that has been recorded with the full 86-string detector configuration from 2011 to 2020 and includes improved detector calibration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.018
GPT teacher head0.248
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations5
Published2021
Admission routes1
Has abstractyes