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Conventional multi-projector calibration requires projecting and capturing structured light patterns for each projector sequentially, causing calibration time and effort to increase linearly with the number of projectors. This scalability…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Takumi Kawano , Kohei Miura , Daisuke Iwai

IceCube is a kilometer scale neutrino observatory now in construction at the South Pole. The construction started in January 2005 with the deployment of 76 sensors on the first string and four surface detector stations. Nine strings and 32…

Astrophysics · Physics 2019-08-14 Albrecht Karle

Image editing and compositing have become ubiquitous in entertainment, from digital art to AR and VR experiences. To produce beautiful composites, the camera needs to be geometrically calibrated, which can be tedious and requires a physical…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Yannick Hold-Geoffroy , Dominique Piché-Meunier , Kalyan Sunkavalli , Jean-Charles Bazin , François Rameau , Jean-François Lalonde

New optical sensors called the "D-Egg" have been developed for cost-effective instrumentation for the IceCube Upgrade. With two 8-inch high quantum efficient photomultiplier tubes (PMTs), they offer increased effective photocathode area…

The IceCube neutrino observatory in operation at the South Pole, Antarctica, comprises three distinct components: a large buried array for ultrahigh energy neutrino detection, a surface air shower array, and a new buried component called…

Instrumentation and Methods for Astrophysics · Physics 2012-08-27 The IceCube Collaboration

The Precision IceCube Next Generation Upgrade (PINGU) is a proposed low-energy in-fill array of the IceCube Neutrino Observatory. Leveraging technology proven with IceCube, PINGU will feature the world's largest effective volume for…

Instrumentation and Detectors · Physics 2017-09-07 PINGU Collaboration

IceCube is a cubic-kilometer neutrino telescope under construction at the geographic South Pole. Once completed it will comprise 4800 optical sensors deployed on 80 vertical strings at depths in the ice between 1450 and 2450 meters. Part of…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 Elisa Bernardini

High-energy neutrinos are uniquely suited to study a large variety of physics as they traverse the universe almost untouched, in contrast to conventional astronomical messengers like photons or cosmic rays which are limited by interactions…

Astrophysics · Physics 2019-08-14 Carsten Rott

Image degradation impedes our ability to extract information from astronomical observations. One factor contributing to this degradation is ``dome seeing", the reduction in image quality due to variations in the index of refraction within…

Instrumentation and Methods for Astrophysics · Physics 2023-11-08 Ali Kurmus , Elana Urbach , Christopher W. Stubbs

The Precision IceCube Next Generation Upgrade (PINGU) is a proposed extension to the IceCube detector. The design of PINGU would augment the existing 86 strings with an additional 40 with the main goal of determining the neutrino mass…

Instrumentation and Detectors · Physics 2016-05-02 Steven Wren

We describe the design, operation, and first results of a photometric calibration project, called DICE (Direct Illumination Calibration Experiment), aiming at achieving precise instrumental calibration of optical telescopes. The heart of…

The IceCube Neutrino Observatory opened the window on high-energy neutrino astronomy by confirming the existence of PeV astrophysical neutrinos and identifying the first compelling astrophysical neutrino source in the blazar TXS0506+056.…

High Energy Astrophysical Phenomena · Physics 2021-07-20 Brian Clark , Robert Halliday

The IceCube Upgrade, an extension designed to enhance the IceCube Neutrino Observatory's detection of neutrinos with energies between 1 GeV and 500 GeV, will markedly improve IceCube's sensitivity to low-mass dark matter scenarios. In this…

High Energy Physics - Experiment · Physics 2026-05-08 R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , J. M. Alameddine , S. Ali , N. M. Amin , K. Andeen , C. Argüelles , Y. Ashida , S. Athanasiadou , S. N. Axani , R. Babu , X. Bai , A. Balagopal V. , S. W. Barwick , V. Basu , R. Bay , J. J. Beatty , J. Becker Tjus , P. Behrens , J. Beise , C. Bellenghi , S. Benkel , S. BenZvi , D. Berley , E. Bernardini , D. Z. Besson , E. Blaufuss , L. Bloom , S. Blot , F. Bontempo , J. Y. Book Motzkin , C. Boscolo Meneguolo , S. Böser , O. Botner , J. Böttcher , J. Braun , B. Brinson , Z. Brisson-Tsavoussis , R. T. Burley , D. Butterfield , K. Carloni , J. Carpio , N. Chau , Y. C. Chen , Z. Chen , D. Chirkin , S. Choi , A. Chubarov , B. A. Clark , G. H. Collin , D. A. Coloma Borja , A. Connolly , J. M. Conrad , D. F. Cowen , C. De Clercq , J. J. DeLaunay , D. Delgado , T. Delmeulle , S. Deng , P. Desiati , K. D. de Vries , G. de Wasseige , T. DeYoung , J. C. Díaz-Vélez , S. DiKerby , T. Ding , M. Dittmer , A. Domi , L. Draper , L. Dueser , D. Durnford , K. Dutta , M. A. DuVernois , T. Ehrhardt , L. Eidenschink , A. Eimer , C. Eldridge , P. Eller , E. Ellinger , D. Elsässer , R. Engel , H. Erpenbeck , W. Esmail , S. Eulig , J. Evans , P. A. Evenson , K. L. Fan , K. Fang , K. Farrag , A. R. Fazely , A. Fedynitch , N. Feigl , C. Finley , D. Fox , A. Franckowiak , S. Fukami , P. Fürst , J. Gallagher , E. Ganster , A. Garcia , M. Garcia , E. Genton , L. Gerhardt , A. Ghadimi , C. Glaser , T. Glüsenkamp , J. G. Gonzalez , S. Goswami , A. Granados , D. Grant , S. J. Gray , S. Griffin , K. M. Groth , D. Guevel , C. Günther , P. Gutjahr , C. Ha , A. Hallgren , L. Halve , F. Halzen , L. Hamacher , M. Handt , K. Hanson , J. Hardin , A. A. Harnisch , P. Hatch , A. Haungs , J. Häußler , K. Helbing , J. Hellrung , B. Henke , L. Hennig , F. Henningsen , L. Heuermann , R. Hewett , N. Heyer , S. Hickford , A. Hidvegi , C. Hill , G. C. Hill , R. Hmaid , K. D. Hoffman , A. Hollnagel , D. Hooper , S. Hori , K. Hoshina , M. Hostert , W. Hou , M. Hrywniak , T. Huber , K. Hultqvist , K. Hymon , A. Ishihara , W. Iwakiri , M. Jacquart , S. Jain , O. Janik , M. Jansson , M. Jin , N. Kamp , D. Kang , W. Kang , A. Kappes , L. Kardum , T. Karg , A. Karle , A. Katil , M. Kauer , J. L. Kelley , M. Khanal , A. Khatee Zathul , A. Kheirandish , T. Kim , H. Kimku , F. Kirchner , J. Kiryluk , C. Klein , S. R. Klein , Y. Kobayashi , S. Koch , A. Kochocki , R. Koirala , H. Kolanoski , T. Kontrimas , L. Köpke , C. Kopper , D. J. Koskinen , P. Koundal , M. Kowalski , T. Kozynets , A. Kravka , N. Krieger , T. Krishnan , K. Kruiswijk , E. Krupczak , A. Kumar , E. Kun , N. Kurahashi , C. Lagunas Gualda , L. Lallement Arnaud , M. J. Larson , F. Lauber , J. P. Lazar , K. Leonard DeHolton , A. Leszczyńska , C. Li , J. Liao , C. Lin , Q. R. Liu , Y. T. Liu , M. Liubarska , C. Love , L. Lu , F. Lucarelli , W. Luszczak , Y. Lyu , M. Macdonald , E. Magnus , Y. Makino , E. Manao , S. Mancina , A. Mand , I. C. Mariş , S. Marka , Z. Marka , L. Marten , I. Martinez-Soler , R. Maruyama , J. Mauro , F. Mayhew , F. McNally , K. Meagher , A. Medina , M. Meier , Y. Merckx , L. Merten , J. Mitchell , L. Molchany , S. Mondal , T. Montaruli , R. W. Moore , Y. Morii , A. Mosbrugger , D. Mousadi , E. Moyaux , T. Mukherjee , M. Nakos , U. Naumann , L. Neste , M. Neumann , H. Niederhausen , M. U. Nisa , K. Noda , A. Noell , A. Novikov , A. Obertacke , V. O'Dell , A. Olivas , R. Orsoe , J. Osborn , E. O'Sullivan , B. Owens , V. Palusova , H. Pandya , A. Parenti , N. Park , V. Parrish , E. N. Paudel , L. Paul , C. Pérez de los Heros , T. Pernice , T. C. Petersen , J. Peterson , S. Pick , M. Plum , A. Pontén , V. Poojyam , B. Pries , R. Procter-Murphy , G. T. Przybylski , L. Pyras , C. Raab , J. Rack-Helleis , N. Rad , M. Ravn , K. Rawlins , Z. Rechav , A. Rehman , I. Reistroffer , E. Resconi , C. D. Rho , W. Rhode , L. Ricca , B. Riedel , A. Rifaie , E. J. Roberts , S. Rodan , M. Rongen , A. Rosted , C. Rott , T. Ruhe , L. Ruohan , D. Ryckbosch , J. Saffer , D. Salazar-Gallegos , P. Sampathkumar , A. Sandrock , G. Sanger-Johnson , M. Santander , S. Sarkar , M. Scarnera , M. Schaufel , H. Schieler , S. Schindler , L. Schlickmann , B. Schlüter , F. Schlüter , N. Schmeisser , T. Schmidt , A. Scholz , F. G. Schröder , S. Schwirn , S. Sclafani , D. Seckel , L. Seen , M. Seikh , S. Seunarine , P. A. Sevle Myhr , R. Shah , S. Shah , S. Shefali , N. Shimizu , B. Skrzypek , R. Snihur , J. Soedingrekso , D. Soldin , P. Soldin , G. Sommani , D. Song , C. Spannfellner , G. M. Spiczak , C. Spiering , J. Stachurska , M. Stamatikos , T. Stanev , T. Stezelberger , T. Stürwald , T. Stuttard , G. W. Sullivan , I. Taboada , S. Ter-Antonyan , A. Terliuk , A. Thakuri , M. Thiesmeyer , W. G. Thompson , J. Thwaites , S. Tilav , K. Tollefson , J. A. Torres , S. Toscano , D. Tosi , K. Upshaw , A. Vaidyanathan , N. Valtonen-Mattila , J. Valverde , J. Vandenbroucke , T. Van Eeden , N. van Eijndhoven , L. Van Rootselaar , J. van Santen , J. Vara , F. Varsi , M. Venugopal , M. Vereecken , S. Vergara Carrasco , S. Verpoest , D. Veske , A. Vijai , J. Villarreal , C. Walck , A. Wang , E. H. S. Warrick , C. Weaver , P. Weigel , A. Weindl , J. Weldert , A. Y. Wen , C. Wendt , J. Werthebach , M. Weyrauch , N. Whitehorn , C. H. Wiebusch , D. R. Williams , L. Witthaus , G. Wrede , X. W. Xu , J. P. Yanez , Y. Yao , E. Yildizci , S. Yoshida , R. Young , F. Yu , S. Yu , T. Yuan , S. Yun-Cárcamo , A. Zander Jurowitzki , A. Zegarelli , S. Zhang , Z. Zhang , P. Zhelnin , P. Zilberman , C. Zilleruelo Cañas

The IceCube Neutrino Observatory, completed in December 2010 and located at the geographic South Pole, is the largest neutrino telescope in the world. IceCube includes the more densely instrumented DeepCore subarray, which increases…

Instrumentation and Methods for Astrophysics · Physics 2013-10-07 Dawn Williams

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, iden- tify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-23 M. G. Aartsen , R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , D. Altmann , C. Arguelles , J. Auffenberg , X. Bai , M. Baker , S. W. Barwick , V. Baum , R. Bay , J. J. Beatty , J. Becker Tjus , K. -H. Becker , S. BenZvi , P. Berghaus , D. Berley , E. Bernardini , A. Bernhard , D. Z. Besson , G. Binder , D. Bindig , M. Bissok , E. Blaufuss , J. Blumenthal , D. J. Boersma , C. Bohm , D. Bose , S. Böser , O. Botner , L. Brayeur , H. -P. Bretz , A. M. Brown , R. Bruijn , J. Casey , M. Casier , D. Chirkin , A. Christov , B. Christy , K. Clark , L. Classen , F. Clevermann , S. Coenders , S. Cohen , D. F. Cowen , A. H. Cruz Silva , M. Danninger , J. Daughhetee , J. C. Davis , M. Day , C. De Clercq , S. De Ridder , P. Desiati , K. D. de Vries , M. de With , T. DeYoung , J. C. Díaz-Vélez , M. Dunkman , R. Eagan , B. Eberhardt , B. Eichmann , J. Eisch , S. Euler , P. A. Evenson , O. Fadiran , A. R. Fazely , A. Fedynitch , J. Feintzeig , T. Feusels , K. Filimonov , C. Finley , T. Fischer-Wasels , S. Flis , A. Franckowiak , K. Frantzen , T. Fuchs , T. K. Gaisser , J. Gallagher , L. Gerhardt , L. Gladstone , T. Glüsenkamp , A. Goldschmidt , G. Golup , J. G. Gonzalez , J. A. Goodman , D. Góra , D. T. Grandmont , D. Grant , P. Gretskov , J. C. Groh , A. Groß , C. Ha , A. Haj Ismail , P. Hallen , A. Hallgren , F. Halzen , K. Hanson , D. Hebecker , D. Heereman , D. Heinen , K. Helbing , R. Hellauer , S. Hickford , G. C. Hill , K. D. Hoffman , R. Hoffmann , A. Homeier , K. Hoshina , F. Huang , W. Huelsnitz , P. O. Hulth , K. Hultqvist , S. Hussain , A. Ishihara , E. Jacobi , J. Jacobsen , K. Jagielski , G. S. Japaridze , K. Jero , O. Jlelati , B. Kaminsky , A. Kappes , T. Karg , A. Karle , M. Kauer , J. L. Kelley , J. Kiryluk , J. Kläs , S. R. Klein , J. -H. Köhne , G. Kohnen , H. Kolanoski , L. Köpke , C. Kopper , S. Kopper , D. J. Koskinen , M. Kowalski , M. Krasberg , A. Kriesten , K. Krings , G. Kroll , J. Kunnen , N. Kurahashi , T. Kuwabara , M. Labare , H. Landsman , M. J. Larson , M. Lesiak-Bzdak , M. Leuermann , J. Leute , J. Lünemann , O. Macías , J. Madsen , G. Maggi , R. Maruyama , K. Mase , H. S. Matis , F. McNally , K. Meagher , M. Merck , G. Merino , T. Meures , S. Miarecki , E. Middell , N. Milke , J. Miller , L. Mohrmann , T. Montaruli , R. Morse , R. Nahnhauer , U. Naumann , H. Niederhausen , S. C. Nowicki , D. R. Nygren , A. Obertacke , S. Odrowski , A. Olivas , A. Omairat , A. O'Murchadha , L. Paul , J. A. Pepper , C. Pérez de los Heros , C. Pfendner , D. Pieloth , E. Pinat , J. Posselt , P. B. Price , G. T. Przybylski , M. Quinnan , L. R ädel , I. Rae , M. Rameez , K. Rawlins , P. Redl , R. Reimann , E. Resconi , W. Rhode , M. Ribordy , M. Richman , B. Riedel , J. P. Rodrigues , C. Rott , T. Ruhe , B. Ruzybayev , D. Ryckbosch , S. M. Saba , H. -G. Sander , M. Santander , S. Sarkar , K. Schatto , F. Scheriau , T. Schmidt , M. Schmitz , S. Schoenen , S. Schöneberg , A. Schönwald , A. Schukraft , L. Schulte , D. Schultz , O. Schulz , D. Seckel , Y. Sestayo , S. Seunarine , R. Shanidze , C. Sheremata , M. W. E. Smith , D. Soldin , G. M. Spiczak , C. Spiering , M. Stamatikos , T. Stanev , N. A. Stanisha , A. Stasik , T. Stezelberger , R. G. Stokstad , A. Stößl , E. A. Strahler , R. Ström , N. L. Strotjohann , G. W. Sullivan , H. Taavola , I. Taboada , A. Tamburro , A. Tepe , S. Ter-Antonyan , G. Tešić , S. Tilav , P. A. Toale , M. N. Tobin , S. Toscano , M. Tselengidou , E. Unger , M. Usner , S. Vallecorsa , N. van Eijndhoven , A. Van Overloop , J. van Santen , M. Vehring , M. Voge , M. Vraeghe , C. Walck , T. Waldenmaier , M. Wallraff , Ch. Weaver , M. Wellons , C. Wendt , S. Westerhoff , N. Whitehorn , K. Wiebe , C. H. Wiebusch , D. R. Williams , H. Wissing , M. Wolf , T. R. Wood , K. Woschnagg , D. L. Xu , X. W. Xu , J. P. Yanez , G. Yodh , S. Yoshida , P. Zarzhitsky , J. Ziemann , S. Zierke , M. Zoll

Neural networks (NNs) have a great potential for future neutrino telescopes such as IceCube-Gen2, the planned high-energy extension of the IceCube observatory. IceCube-Gen2 will feature new optical sensors with multiple photomultiplier…

Instrumentation and Methods for Astrophysics · Physics 2025-07-11 Francisco Javier Vara Carbonell , Jonas Selter

IceCube was completed in December 2010. It forms a lattice of 5160 photomultiplier tubes that monitor a volume of ~ 1 cubic km in the deep Antarctic ice for particle induced photons. The telescope was designed to detect neutrinos with…

High Energy Astrophysical Phenomena · Physics 2019-08-14 Lutz Köpke

The IceCube collaboration has built an in-ice neutrino telescope and a surface detector array, IceTop, at the South Pole. Over 5000 digital optical modules have been deployed in a cubic kilometer of ice between 1450 and 2450 m below the…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 James Madsen

In the upcoming IceCube-Gen2 extension, the newly developed optical modules will include 4-inch PMTs. For this purpose, the manufacturers Hamamatsu and North Night Vision Technology have developed new PMT models to meet the requirements of…

Instrumentation and Methods for Astrophysics · Physics 2023-07-28 Markus Dittmer , Alexander Kappes

The IceCube Neutrino Observatory at the South Pole is a multi-component particle detector consisting of the IceTop surface array and the deep in-ice IceCube array. The foreseen enhancement of the surface instrumentation will consist of…

Instrumentation and Methods for Astrophysics · Physics 2019-09-26 Agnieszka Leszczyńska , Matthias Plum
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