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The neutrino mass experiment KATRIN requires a stability of 3 ppm for the retarding potential at -18.6 kV of the main spectrometer. To monitor the stability, two custom-made ultra-precise high-voltage dividers were developed and built in…

Instrumentation and Detectors · Physics 2018-05-16 M. Arenz , W. -J. Baek , M. Beck , A. Beglarian , J. Behrens , T. Bergmann , A. Berlev , U. Besserer , K. Blaum , T. Bode , B. Bornschein , L. Bornschein , T. Brunst , N. Buzinsky , S. Chilingaryan , W. Q. Choi , M. Deffert , P. J. Doe , O. Dragoun , G. Drexlin , S. Dyba , F. Edzards , K. Eitel , E. Ellinger , R. Engel , S. Enomoto , M. Erhard , D. Eversheim , M. Fedkevych , S. Fischer , J. A. Formaggio , F. M. Fränkle , G. B. Franklin , F. Friedel , A. Fulst , W. Gil , F. Glück , A. Gonzalez Ureña , S. Grohmann , R. Grössle , R. Gumbsheimer , M. Hackenjos , V. Hannen , F. Harms , N. Haußmann , F. Heizmann , K. Helbing , W. Herz , S. Hickford , D. Hilk , D. Hillesheimer , M. A. Howe , A. Huber , A. Jansen , J. Kellerer , N. Kernert , L. Kippenbrock , M. Kleesiek , M. Klein , A. Kopmann , M. Korzeczek , A. Kovalík , B. Krasch , M. Kraus , L. Kuckert , T. Lasserre , O. Lebeda , J. Letnev , A. Lokhov , M. Machatschek , A. Marsteller , E. L. Martin , S. Mertens , S. Mirz , B. Monreal , H. Neumann , S. Niemes , A. Off , A. Osipowicz , E. Otten , D. S. Parno , A. Pollithy , A. W. P. Poon , F. Priester , P. C. -O. Ranitzsch , O. Rest , R. G. H. Robertson , F. Roccati , C. Rodenbeck , M. Röllig , C. Röttele , M. Ryšavý , R. Sack , A. Saenz , L. Schimpf , K. Schlösser , M. Schlösser , K. Schönung , M. Schrank , H. Seitz-Moskaliuk , J. Sentkerestiová , V. Sibille , M. Slezák , M. Steidl , N. Steinbrink , M. Sturm , M. Suchopar , M. Suesser , H. H. Telle , L. A. Thorne , T. Thümmler , N. Titov , I. Tkachev , N. Trost , K. Valerius , D. Vénos , R. Vianden , A. P. Vizcaya Hernández , M. Weber , C. Weinheimer , C. Weiss , S. Welte , J. Wendel , J. F. Wilkerson , J. Wolf , S. Wüstling , S. Zadoroghny

In view of the very precise measurements on fermion couplings which will be performed at ILC250 with polarized beams, there is emerging evidence that the LEP1/SLC measurements on these couplings are an order of magnitude too imprecise to…

High Energy Physics - Experiment · Physics 2019-06-10 A. Irles , R. Pöschl , F. Richard , H. Yamamoto

Many applications of classification methods not only require high accuracy but also reliable estimation of predictive uncertainty. However, while many current classification frameworks, in particular deep neural networks, achieve high…

Machine Learning · Computer Science 2020-02-28 Jonathan Wenger , Hedvig Kjellström , Rudolph Triebel

In this work we present a practical algorithm for calibrating a magnetometer for the presence of magnetic disturbances and for magnetometer sensor errors. To allow for combining the magnetometer measurements with inertial measurements for…

Systems and Control · Computer Science 2016-07-15 Manon Kok , Thomas B. Schön

The relevance condition of Integrated Conditional Moment (ICM) estimators is significantly weaker than the conventional IV's in at least two respects: (1) consistent estimation without excluded instruments is possible, provided endogenous…

Econometrics · Economics 2022-11-14 Emmanuel Selorm Tsyawo

The CALICE collaboration is studying the design of high performance electromagnetic and hadronic calorimeters for future International Linear Collider detectors. For the hadronic calorimeter, one option is a highly granular sampling…

Instrumentation and Detectors · Physics 2012-08-08 C. Adloff , J. Blaha , J. -J. Blaising , C. Drancourt , A. Espargilière , R. Gaglione , N. Geffroy , Y. Karyotakis , J. Prast , G. Vouters , K. Francis , J. Repond , J. Smith , L. Xia , E. Baldolemar , J. Li , S. T. Park , M. Sosebee , A. P. White , J. Yu , Y. Mikami , N. K. Watson T. Goto , G. Mavromanolakis , M. A. Thomson , D. R. Ward W. Yan , M. Benyamna , C. Cârloganu , F. Fehr , P. Gay , S. Manen , L. Royer , G. C. Blazey , A. Dyshkant , J. G. R. Lima , V. Zutshi , J. -Y. Hostachy , L. Morin , U. Cornett , D. David , R. Fabbri , G. Falley , K. Gadow , E. Garutti , P. Göttlicher , C. Günter , S. Karstensen , F. Krivan , A. -I. Lucaci-Timoce , S. Lu , B. Lutz , I. Marchesini , N. Meyer , S. Morozov , V. Morgunov , M. Reinecke , F. Sefkow , P. Smirnov , M. Terwort , A. Vargas-Trevino , N. Wattimena , O. Wendt , N. Feege , J. Haller , S. Richter , J. Samson P. Eckert , A. Kaplan , H. -Ch. Schultz-Coulon , W. Shen , R. Stamen , A. Tadday , B. Bilki , E. Norbeck , Y. Onel , G. W. Wilson , K. Kawagoe , S. Uozumi , J. A. Ballin , P. D. Dauncey , A. -M. Magnan , H. S. Yilmaz , O. Zorba , V. Bartsch , M. Postranecky , M. Warren , M. Wing , F. Salvatore , E. Calvo Alamillo , M. -C. Fouz , J. Puerta-Pelayo , V. Balagura , B. Bobchenko , M. Chadeeva , M. Danilov , A. Epifantsev , O. Markin , R. Mizuk , E. Novikov , V. Rusinov , E. Tarkovsky , Y. Soloviev , V. Kozlov , P. Buzhan , B. Dolgoshein , A. Ilyin , V. Kantserov , V. Kaplin , A. Karakash , E. Popova , S. Smirnov , A. Frey , C. Kiesling , K. Seidel , F. Simon , C. Soldner , L. Weuste , J. Bonis , B. Bouquet , S. Callier , P. Cornebise , Ph. Doublet , F. Dulucq , M. Faucci Giannelli , J. Fleury , G. Guilhem , H. Li , G. Martin-Chassard , F. Richard , Ch. de la Taille , R. Pöschl , L. Raux , N. Seguin-Moreau , F. Wicek , M. Anduze , V. Boudry , J-C. Brient , D. Jeans , P. Mora de Freitas , G. Musat , M. Reinhard , M. Ruan , H. Videau , B. Bulanek , J. Zacek , J. Cvach , P. Gallus , M. Havranek , M. Janata , J. Kvasnicka , D. Lednicky , M. Marcisovsky , I. Polak , J. Popule , L. Tomasek , M. Tomasek , P. Ruzicka , P. Sicho , J. Smolik , V. Vrba , J. Zalesak , B. Belhorma , H. Ghazlane , K. Kotera , M. Nishiyama , T. Takeshita , S. Tozuka , T. Buanes , G. Eigen

There has been much recent interest in evaluating large language models for uncertainty calibration to facilitate model control and modulate user trust. Inference time uncertainty, which may provide a real-time signal to the model or…

Computation and Language · Computer Science 2025-08-12 Kyle Moore , Jesse Roberts , Daryl Watson

Currently there are several well-known approaches to non-intrusive appliance load monitoring rule based, stochastic finite state machines, neural networks and sparse coding. Recently several studies have proposed a new approach based on…

Signal Processing · Electrical Eng. & Systems 2019-12-17 Vanika Singhal , Jyoti Maggu , Angshul Majumdar

Recently, multi-sensors fusion has achieved significant progress in the field of automobility to improve navigation and position performance. As the prerequisite of the fusion algorithm, the demand for the extrinsic calibration of…

Robotics · Computer Science 2022-09-27 Hou lanhua

A wideband phase comparator for precise measurements of phase difference of high current shunts has been developed at INRIM. The two-input digital phase detector is realized with a precision wideband digitizer connected through a pair of…

Instrumentation and Detectors · Physics 2015-05-30 Umberto Pogliano , Bruno Trinchera , Danilo Serazio

The SIRTF InfraRed Spectrograph (IRS) is faced with many of the same calibration challenges that were experienced in the ISO SWS calibration program, owing to similar wavelength coverage and overlapping spectral resolutions of the two…

Astrophysics · Physics 2007-05-23 P. W. Morris , V. Charmandaris , T. Herter , L. Armus , J. Houck , G. Sloan

Ionization chambers are essential for activity determinations in radionuclide metrology. We have developed a high-precision integrating-differentiating (int-diff) system for measuring small currents. It is anticipated to enhance the…

Instrumentation and Detectors · Physics 2025-03-06 Shunyi Liang , Juncheng Liang , Kezhu Song , Yijie Jiang , Zhijie Yang

Functional near-infrared spectroscopy (fNIRS) is a valuable non-invasive tool for monitoring brain activity. The classification of fNIRS data in relation to conscious activity holds significance for advancing our understanding of the brain…

Machine Learning · Computer Science 2024-11-25 Zhihao Cao , Zizhou Luo

A new design of highly granular hadronic calorimeter using Glass Resistive Plate Chambers (GRPCs) with embedded electronics has been proposed for the future International Linear Collider (ILC) experiments. It features a 2-bit threshold…

Energy meters need to be calibrated for use in Measurement and Verification (M&V) projects. However, calibration can be prohibitively expensive and affect project feasibility negatively. This study presents a novel low-cost in-situ meter…

Applications · Statistics 2016-12-23 Herman Carstens , Xiaohua Xia , Sarma Yadavalli

This paper proposes the use of "multicalibration" to yield interpretable and reliable confidence scores for outputs generated by large language models (LLMs). Multicalibration asks for calibration not just marginally, but simultaneously…

Machine Learning · Statistics 2024-04-09 Gianluca Detommaso , Martin Bertran , Riccardo Fogliato , Aaron Roth

The primary scientific results of the future space-based gravitational wave interferometer LISA will come from the parameter inference of a large variety of gravitational wave sources. However, the presence of calibration errors could…

General Relativity and Quantum Cosmology · Physics 2022-08-31 Etienne Savalle , Jonathan Gair , Lorenzo Speri , Stanislav Babak

Measurement of low power infrared light emission spectra from microstructures can be challenging, but is of key importance in several research fields. Fourier transform infrared spectrometers (FTIR) can be used for characterizing such weak…

Optics · Physics 2025-11-18 Maxime Brazeau , Mathieu Giroux , Nada Boubrik , Raphael St-Gelais

Despite the rapid expansion of Large Language Models (LLMs) in healthcare, robust and explainable evaluation of their ability to assess clinical trial reporting according to CONSORT standards remains an open challenge. In particular,…

Artificial Intelligence · Computer Science 2026-02-26 Sohyeon Jeon , Hyung-Chul Lee