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Citizen science for IceCube: Name that Neutrino
R. Abbasi, M. Ackermann, J. Adams, Sanjib Kumar Agarwalla, J. A. Aguilar, M. Ahlers, Jean-Marco Alameddine, N. M. Amin, K. Andeen, G. Anton, C. Argüelles, Y. Ashida, S. Athanasiadou, L. Ausborm, Spencer Axani, X. Bai, Aswathi Balagopal, M. Baricevic, S. W. Barwick, V. Basu, R. Bay, J. J. Beatty, J. Becker Tjus, Jakob Beise, Chiara Bellenghi, Charlotte Benning, S. BenZvi, D. Berley, E. Bernardini, D. Besson, E. Blaufuss, Summer Blot, F. Bontempo, Julia Book, Caterina Boscolo Meneguolo, S. Böser, O. Botner, J. Böttcher, J. Braun, B. Brinson, J. Brostean-Kaiser, L. Brusa, Ryan T. Burley, R. S. Busse, Delaney Butterfield, Michael Campana, Ioana Caracas, K. Carloni, J. Graciá‐Carpio, S. Chattopadhyay, Thien Nhan Chau, Kunal Deoskar, Z. Chen, D. Chirkin, S. Choi, Brian Clark, A. Coleman, G. H. Collin, A. Connolly, J. M. Conrad, Paul Coppin, Rebecca Corley, Pablo Correa, D. F. Cowen, Pranav Dave, C. De Clercq, J. J. DeLaunay, D. Delgado, S. Deng, A. Desai, P. Desiati, K. D. de Vries, G. de Wasseige, T. DeYoung, Adriel Herrero Díaz, J. C. Díaz–Vélez, M. Dittmer, A. Domi, Lincoln Draper, H. Dujmovic, M. A. DuVernois, T. Ehrhardt, A. Eimer, P. Eller, E. Ellinger, Sharif El Mentawi, Dominik Elsässer, R. Engel, H. Erpenbeck, John Evans, P. A. Evenson, Kwok Lung Fan, K. Fang, Kareem Ramadan Farrag, A. R. Fazely, A. Fedynitch, Nora Feigl, S. Fiedlschuster, C. Finley, Leander Fischer, D. B. Fox, A. Franckowiak, P. Fürst, J. S. Gallagher, Erik Ganster, A. M. Pérez García, L. Gerhardt, L. Gerhardt, C. Girard-Carillo, C. Glaser, T. Glüsenkamp, J. G. Gonzalez, Sreetama Goswami, Alejandra Granados, D. Grant, S. J. Gray, Oliver Gries, S. Griffin, S. Griswold, Kathrine Mørch Groth, Christoph Günther, Pascal Gutjahr, C. Ha, Christian Haack, A. Hallgren, R. Halliday, L. Halve, F. Halzen, H. Hamdaoui, M. Ha Minh, Michael Handt, K. Hanson, J. Hardin, Alexander Harnisch, P. Hatch, A. Haungs, Jonas Häußler, K. Helbing, Jonas Hellrung, J. Hermannsgabner, Lars Philipp Heuermann, N. Heyer, S. Hickford, Attila Hidvégi, Colton Hill, G. C. Hill, K. D. Hoffman, Sam Hori, K. Hoshina, Wenjie Hou, T. Huber, K. Hultqvist, M. Hünnefeld, R. Hussain, Karolin Hymon, A. Ishihara, W. Iwakiri, M. Jacquart, Oliver Janik, M. Jansson, G. S. Japaridze, Minjin Jeong, Miaochen Jin, B. J. P. Jones, N. Kamp, Donghwa Kang, Woosik Kang, X. Kang, A. Kappes, David Kappesser, Leonora Kardum, T. Karg, M. Karl, A. Karle, Akanksha Katil, U. Katz, M. Kauer, J. L. Kelley, Manish Khanal, A. Khatee Zathul, Ali Kheirandish, J. Kiryluk, Alina Kochocki, R. Koirala, H. Kolanoski, T. Kontrimas, L. Köpke, C. Kopper, D. J. Koskinen, P. Koundal, M. Kovacevich, M. Kowalski, T. Kozynets, J. Krishnamoorthi, K. Kruiswijk, E. Krupczak, Anil Kumar, Emma Kun, N. Kurahashi, N. N. Lad, Cristina Lagunas Gualda, M. Lamoureux, M. J. Larson, Silvia Latseva, Frederik Hermann Lauber, Jeffrey Lazar, J. W. Lee, Kayla Leonard DeHolton, Agnieszka Leszczyńska, Massimiliano Lincetto, Maria Liubarska, E. Lohfink, Christina Love, L. Lu, Francesco Lucarelli, W. Luszczak, J. Madsen, Else Magnus, K. B. M. Mahn, Y. Makino, Elena Manao, Sarah Mancina, W. Marie Sainte, Ioana Codrina Mariş, S. Marka, Z. Márka, M. Marsee, Ivan Martínez-Soler, R. Maruyama, Finn Mayhew, T. McElroy, Frank McNally, J. V. Mead, K. Meagher, S. Mechbal, A. Medina, Maximilian Meier, Yarno Merckx, Lukas Merten, J. Micallef, J. Mitchell, T. Montaruli, R. W. Moore, Y. Morii, R. Morse, Marjon Moulai, Tridib Mukherjee, Richard Naab, R. Nagai, M. Nakos, U. Naumann, J. Necker, Akshima Negi, M.A. Neumann, Hans Niederhausen, M. U. Nisa, A. Noell, Alexander Novikov, S. C. Nowicki, A. Obertacke Pollmann, Vivian O'Dell, Bob Oeyen, A. Olivas, R. Orsoe, J. Osborn, Erin O’Sullivan, Hershal Pandya, N. Park, Grant Parker, E. N. Paudel, Larissa Paul, C. Pérez de los Heros, Teresa Pernice, J. Peterson, Saskia Philippen, A. Pizzuto, M. Plum, Axel Pontén, Y. Popovych, Maria Prado Rodriguez, B. Pries, R. Procter-Murphy, G. T. Przybylski, Christoph Raab, J. Rack-Helleis, K. Rawlins, Z. Rechav, Abdul Rehman, Patrick Reichherzer, E. Resconi, S. Reusch, W. Rhode, B. Riedel, Adam Rifaie, E. J. Roberts, S. Robertson, S. Rodan, G. Roellinghoff, Martin Rongen, Aske Rosted, C. Rott, T. Ruhe, L. Ruohan, D. Ryckbosch, I. Safa, J. Saffer, Daniel Salazar-Gallegos, P. Sampathkumar, A. Sandrock, M. Santander, S. Sarkar, J. Savelberg, P. Savina, Merlin Schaufel, H. Schieler, S. Schindler, B. Schlüter, Felix Schlüter, Nick Schmeisser, T. Schmidt, Judith Schneider, Frank Schröder, L. Schumacher, S. Sclafani, D. Seckel, Mohammad Ful Hossain Seikh, Minhye Seo, S. Seunarine, R. Shah, S. Shefali, N. Shimizu, M. Silva, B. Skrzypek, B. Smithers, R. Snihur, J. Soedingrekso, A. Søgaard, D. Soldin, A. Stahl, Giacomo Sommani, C. Spannfellner, G. M. Spiczak, C. Spiering, M. Stamatikos, T. Stanev, T. Stezelberger, T. Stürwald, Thomas Stuttard, G. W. Sullivan, I. Taboada, S. Ter–Antonyan, A. Terliuk, Matthias Thiesmeyer, W. G. Thompson, Jessie Thwaites, S. Tilav, K. Tollefson, C. Tönnis, S. Toscano, D. Tosi, Alexandra Trettin, C. F. Tung, R. Turcotte, Jean Pierre Twagirayezu, Martin Unland Elorrieta, A. K. Upadhyay, K. Upshaw, A. Vaidyanathan, Nora Valtonen-Mattila, J. Vandenbroucke, N. van Eijndhoven, D. Vannerom, J. van Santen, J. Vara, J. Veitch-Michaelis, M. Venugopal, Matthias Vereecken, S. Verpoest, D. Veske, A. Vijai, Elizabeth Warrick, C. Walck, Chris Weaver, Philip Weigel, A. Weindl, J. Weldert, Alex Wen, C. Wendt, J. Werthebach, M. Weyrauch, N. Whitehorn, C. H. Wiebusch, D. R. Williams, Lucas Witthaus, Annika Wolf, M. Wolf, Gerrit Wrede, Xiaolin Xu, J. P. Yanez, Emre Burak Yildizci, S. Yoshida, R. Young, Shiqi Yu, Tiantian Yuan, Z. Zhang, Pavel Zhelnin, Perri Zilberman, Melany Zimmerman
Bibliographic record
VenueThe European Physical Journal Plus · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of AlbertaQueen's University
FundersOffice of Experimental Program to Stimulate Competitive ResearchJapan Society for the Promotion of ScienceDeutsches Elektronen-SynchrotronNatural Sciences and Engineering Research Council of CanadaHelmholtz Alliance for Astroparticle PhysicsInstitute for Global Prominent Research, Chiba UniversityRWTH Aachen UniversityVillum FondenNational Research Foundation of KoreaMarsden FundBundesministerium für Bildung und ForschungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science FoundationBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftUniversity of Wisconsin-MadisonVetenskapsrådetU.S. Department of EnergyOffice of Advanced CyberinfrastructureEuropean CommissionWestern Canada Research GridFonds De La Recherche Scientifique - FNRSPolarforskningssekretariatetAlliance de recherche numérique du CanadaChiba UniversityKnut och Alice Wallenbergs StiftelseOffice of Polar ProgramsCollege of Engineering, Michigan State UniversityAlfred P. Sloan FoundationMarquette UniversityNational Research FoundationMichigan State UniversityFonds Wetenschappelijk OnderzoekNvidia
KeywordsNeutrinoPhysicsObservatoryNeutrino detectorNeutrino astronomyArtificial neural networkParticle physicsSolar neutrino problemDetectorNeutrino oscillationComputer scienceSolar neutrinoAstronomyArtificial intelligence
Abstract
Abstract Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.999
Threshold uncertainty score0.247
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.074 | 0.038 |
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 head0.257
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.
Study designNot applicable
Domainnot available
GenreOther
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".
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Citations1
Published2024
Admission routes2
Has abstractyes