Quantitative mapping of smooth topographic landscapes produced by thermal scanning-probe lithography

Autor: Sørensen, Camilla H., Nielsen, Magnus V., Linde, Sander J., Nguyen, Duc Hieu, Iversen, Christoffer E., Jensen, Robert, Raza, Søren, Bøggild, Peter, Booth, Timothy J., Lassaline, Nolan

Scanning probe microscopy (SPM) is a powerful technique for mapping nanoscale surface properties through tip-sample interactions. Thermal scanning-probe lithography (tSPL) is an advanced SPM variant that uses a silicon tip on a heated cantilever to s

Externí odkaz: http://arxiv.org/abs/2410.21176

Summary of the trigger systems of the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

Autor: Albrecht, Johannes, Bozianu, Leon, Calefice, Lukas, Cella, Sofia, Toapaxi, Carlos Eduardo Cocha, Doglioni, Caterina, Iversen, Kaare Endrup, Gligorov, Vladimir, Gooding, James Andrew, Inkaew, Patin, Magdalinski, Daniel, Sopasakis, Alexandros, Wilson-Edwards, Danielle Joan, network, The SMARTHEP

In modern High Energy Physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant informatio

Externí odkaz: http://arxiv.org/abs/2408.03881

Decoherence in Neutrino Oscillation at the ESSnuSB Experiment

Autor: ESSnuSB, Aguilar, J., Anastasopoulos, M., Baussan, E., Bhattacharyya, A. K., Bignami, A., Blennow, M., Bogomilov, M., Bolling, B., Bouquerel, E., Bramati, F., Branca, A., Brunetti, G., Bustinduy, I., Carlile, C. J., Cederkall, J., Choi, T. W., Choubey, S., Christiansen, P., Collins, M., Morales, E. Cristaldo, Cupiał, P., Danared, H., Dancila, D., de André, J. P. A. M., Dracos, M., Efthymiopoulos, I., Ekelöf, T., Eshraqi, M., Fanourakis, G., Farricker, A., Fasoula, E., Fukuda, T., Gazis, N., Geralis, Th., Ghosh, M., Giarnetti, A., Gokbulut, G., Gupta, A., Hagner, C., Halić, L., Hariharan, V. T., Hooft, M., Iversen, K. E., Jachowicz, N., Jenssen, M., Johansson, R., Kasimi, E., Topaksu, A. Kayis, Kildetof, B., Kliček, B., Kordas, K., Leisos, A., Lindroos, M., Longhin, A., Maiano, C., Majumdar, D., Marangoni, S., Marrelli, C., Martins, C., Meloni, D., Mezzetto, M., Milas, N., Muñoz, J., Niewczas, K., Oglakci, M., Ohlsson, T., Olvegård, M., Pari, M., Patrzalek, D., Petkov, G., Petridou, Ch., Poussot, P., Psallidas, A., Pupilli, F., Saiang, D., Sampsonidis, D., Schwab, C., Sordo, F., Sosa, A., Stavropoulos, G., Stipčević, M., Tarkeshian, R., Terranova, F., Tolba, T., Trachanas, E., Tsenov, R., Tsirigotis, A., Tzamarias, S. E., Vankova-Kirilova, G., Vassilopoulos, N., Vihonen, S., Wurtz, J., Zeter, V., Zormpa, O., Zou, Y.

Publikováno v: JHEP 08 (2024) 063

Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of

Externí odkaz: http://arxiv.org/abs/2404.17559

Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty

Autor: Naik, Lakshadeep, Iversen, Thorbjørn Mosekjær, Kramberger, Aljaz, Krüger, Norbert

Accurate 6D object pose estimation is essential for various robotic tasks. Uncertain pose estimates can lead to task failures; however, a certain degree of error in the pose estimates is often acceptable. Hence, by quantifying errors in the object po

Externí odkaz: http://arxiv.org/abs/2403.10874

Identifying Drivers of Predictive Aleatoric Uncertainty

Autor: Iversen, Pascal, Witzke, Simon, Baum, Katharina, Renard, Bernhard Y.

Explainability and uncertainty quantification are two pillars of trustable artificial intelligence. However, the reasoning behind uncertainty estimates is generally left unexplained. Identifying the drivers of uncertainty complements explanations of

Externí odkaz: http://arxiv.org/abs/2312.07252