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Citizen Science for IceCube: Name that Neutrino
M. Ackermann, J. Adams, Sanjib Kumar Agarwalla, J. A. Aguilar, M. Ahlers, Jean-Marco Alameddine, N. M. Amin, K. Andeen, G. Anton, C. Argüelles, Yosuke Ashida, S. Athanasiadou, L. Ausborm, Spencer Axani, X. Bai, Aswathi Balagopal, M. Baricevic, S. W. Barwick, Vedant 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, Federico Bontempo, Julia Book, Caterina Boscolo Meneguolo, S. Böser, O. Botner, J. Böttcher, J. Braun, Bennett Brinson, Jannes Brostean-Kaiser, L. Brusa, Ryan T. Burley, Raffaela Busse, Delaney Butterfield, Michael Campana, Ioana Caracas, K. Carloni, J. Graciá‐Carpio, S. Chattopadhyay, Thien Nhan Chau, C. Chen, Z. Chen, D. Chirkin, S. Choi, Brian Clark, Alan Coleman, G. H. Collin, A. Connolly, J. M. Conrad, Paul Coppin, Rebecca Corley, Pablo Correa, D. F. Cowen, Pranav Dave, C. De Clercq, James DeLaunay, Diyaselis Delgado, S. Deng, Kunal Deoskar, Abhishek Desai, P. Desiati, K. D. de Vries, G. de Wasseige, T. DeYoung, Á. I. Díaz, J. C. Díaz–Vélez, Markus Dittmer, Alba Domi, Lincoln Draper, Hrvoje Dujmović, M. A. DuVernois, Thomas Ehrhardt, A. Eimer, P. Eller, E. Ellinger, Sharif El Mentawi, Dominik Elsässer, R. Engel, Hannah Erpenbeck, John Evans, P. A. Evenson, Kwok Lung Fan, Ke Fang, Kareem Ramadan Farrag, A. R. Fazely, Anatoli Fedynitch, Nora Feigl, Sebastian Fiedlschuster, C. Finley, Leander Fischer, D. B. Fox, A. Franckowiak, Philipp Fürst, J. S. Gallagher, Erik Ganster, Alfonso Garcia, Eliot Genton, L. Gerhardt, C. Girard-Carillo, Christian Gläser, T. Glüsenkamp, J. G. González, 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, Martin Ha Minh, Michael Handt, K. Hanson, John Hardin, Alexander Harnisch, P. Hatch, A. Haungs, Jonas Häußler, K. Helbing, Jonas Hellrung, J. Hermannsgabner, Lars Philipp Heuermann, Nils Heyer, S. Hickford, Attila Hidvégi, Colton Hill, G. C. Hill, K. D. Hoffman, Sam Hori, K. Hoshina, Matheus Hostert, Wenjie Hou, Thomas Huber, K. Hultqvist, Mirco Hünnefeld, Raamis Hussain, Karolin Hymon, A. Ishihara, W. Iwakiri, M. Jacquart, Oliver Janik, Matti Jansson, G. S. Japaridze, Minjin Jeong, Miaochen Jin, B. J. P. Jones, N. Kamp, Donghwa Kang, Woosik Kang, Xinyue Kang, A. Kappes, David Kappesser, Leonora Kardum, T. Karg, Martina Karl, A. Karle, Akanksha Katil, U. Katz, M. Kauer, J. L. Kelley, Manish Khanal, A. Khatee Zathul, Ali Kheirandish, J. Kiryluk, Alina Kochocki, Ramesh Koirala, H. Kolanoski, Tomas Kontrimas, L. Köpke, Claudio Kopper, D. J. Koskinen, Paras Koundal, Michael Kovacevich, M. Kowalski, T. Kozynets, J. Krishnamoorthi, K. Kruiswijk, E. Krupczak, Anil Kumar, Emma Kun, N. Kurahashi, Neha Navnitkumar 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, Elisa Lohfink, Christina Love, L. Lu, Francesco Lucarelli, W. Luszczak, J. Madsen, Else Magnus, K. B. M. Mahn, Yuya Makino, Elena Manao, Sarah Mancina, W. Marie Sainte, Ioana Codrina Mariş, Szabolcs Márka, Z. Márka, M. Marsee, Ivan Martínez-Soler, R. Maruyama, Finn Mayhew, Thomas McElroy, Frank McNally, J. V. Mead, K. Meagher, Sarah Mechbal, Andrés Medina, Maximilian Meier, Yarno Merckx, Lukas Merten, Jessie Micallef, J. Mitchell, T. Montaruli, R. W. Moore, Yasutsugu Morii, R. Morse, Marjon Moulai, Tridib Mukherjee, Richard Naab, R. Nagai, M. Nakos, Uwe Naumann, Jannis Necker, Akshima Negi, M.A. Neumann, Hans Niederhausen, M. U. Nisa, A. Noell, Alexander Novikov, Sarah Nowicki, A. Obertacke Pollmann, Vivian O'Dell, Bob Oeyen, A. Olivas, R. Orsoe, John W. Osborn, Erin O’Sullivan, Hershal Pandya, N. Park, Grant Parker, Ek Narayan Paudel, L. Paul, C. Pérez de los Heros, Teresa Pernice, J. Peterson, Saskia Philippen, A. Pizzuto, M. Plum, Axel Ponten, Y. Popovych, Maria Prado Rodriguez, B. Pries, R. Procter-Murphy, G. T. Przybylski, Christoph Raab, John Rack-Helleis, K. Rawlins, Zoë Rechav, Abdul Rehman, Patrick Reichherzer, E. Resconi, Simeon Reusch, W. Rhode, Benedikt Riedel, Adam Rifaie, E. J. Roberts, S. Robertson, Steven T. Rodan, Gerrit Roellinghoff, Martin Rongen, Aske Rosted, C. Rott, T. Ruhe, L. Ruohan, D. Ryckbosch, I. Safa, Julian Saffer, Daniel Salazar-Gallegos, P. Sampathkumar, A. Sandrock, M. Santander, Sourav Sarkar, J. Savelberg, Pierpaolo 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, M. Seikh, Minhye Seo, S. Seunarine, P. Sevle Myhr, R. Shah, S. Shefali, Nobuhiro Shimizu, M. Silva, Barbara Skrzypek, B. Smithers, R. Snihur, Jan Soedingrekso, A. Søgaard, Dennis Soldin, Philipp Soldin, Giacomo Sommani, Christian Spannfellner, G. M. Spiczak, C. Spiering, M. Stamatikos, Todor 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, Kirsten Tollefson, Christoph Tönnis, S. Toscano, D. Tosi, Alexander 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. V. Santen, J. Vara, J. Veitch-Michaelis, M. Venugopal, M. Vereecken, Stef Verpoest, Doğa Veske, A. Vijai, C. Walck, Elizabeth Warrick, Chris Weaver, Philip Weigel, A. Weindl, Jan Weldert, Alex Wen, Chris Wendt, Johannes Werthebach, M. Weyrauch, N. Whitehorn, C. H. Wiebusch, D. R. Williams, Lucas Witthaus, Annika Wolf, Martin Wolf, Gerrit Wrede, Xiaolin Xu, Emre Burak Yildizci, S. Yoshida, R. Young, Shaoqing Yu, Tianlu Yuan, Zelong Zhang, Pavel Zhelnin
Bibliographic record
VenuearXiv (Cornell University) · 2024
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsnot available
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
KeywordsNeutrinoObservatoryNeutrino detectorParticle physicsPhysicsSolar neutrino problemArtificial neural networkNeutrino astronomyDetectorNeutrino oscillationSolar neutrinoComputer scienceAstronomyArtificial intelligence
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 1,800 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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.232
Threshold uncertainty score0.778
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.232 | 0.140 |
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 head0.048
GPT teacher head0.193
Teacher spread0.145 · 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.
The models applied no category: nothing in the taxonomy fit this work.
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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Citations0
Published2024
Admission routes1
Has abstractyes