Zobrazeno 1 - 10
of 43 181
pro vyhledávání: '"Paton A."'
Autor:
Jackson, Brian, Fenton, Lori, Brown, Travis, Munguira, Asier, Martinez, German, Newman, Claire, Viúdez-Moreiras, Daniel, Golombek, Matthew, Lorenz, Ralph, Paton, Mark D., Conway, Dylan
We used attitude data from the Mars Ingenuity helicopter with a simple steady-state model to estimate windspeeds and directions at altitudes of 3 meters up to 24 meters, the first time winds at such altitudes have been probed on Mars. We compared our
Externí odkaz:
http://arxiv.org/abs/2410.19132
Embeddings are now used to underpin a wide variety of data management tasks, including entity resolution, dataset search and semantic type detection. Such applications often involve datasets with numerical columns, but there has been more emphasis pl
Externí odkaz:
http://arxiv.org/abs/2410.07485
Autor:
Xie, X., Barten, R., Bergamaschi, A., Braham, B., Brückner, M., Carulla, M., Dinapoli, R., Ebner, S., Ferjaoui, K., Fröjdh, E., Greiffenberg, D., Hasanaj, S., Heymes, J., Hinger, V., King, T., Kozlowski, P., Lopez-Cuenca, C., Mezza, D., Moustakas, K., Mozzanica, A., Paton, K. A., Ruder, C., Schmitt, B., Sieberer, P., Thattil, D., Zhang, J.
To enhance the spatial resolution of the M\"ONCH 25 \textmu m pitch hybrid pixel detector, deep learning models have been trained using both simulation and measurement data. Challenges arise when comparing simulation-based deep learning models to mea
Externí odkaz:
http://arxiv.org/abs/2407.20841
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Milton, G., Colina, A. Molina, Morris, D., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ detector operated initially as a water Cherenkov detector. The implementation of a sealed covergas system midway through water data taking resulted in a significant reduction in the activity of $^{222}$Rn daughters in the detector and allowe
Externí odkaz:
http://arxiv.org/abs/2407.17595
Autor:
SBND Collaboration, Abratenko, P., Acciarri, R., Adams, C., Aliaga-Soplin, L., Alterkait, O., Alvarez-Garrote, R., Andreopoulos, C., Antonakis, A., Arellano, L., Asaadi, J., Badgett, W., Balasubramanian, S., Basque, V., Beever, A., Behera, B., Belchior, E., Betancourt, M., Bhat, A., Bishai, M., Blake, A., Bogart, B., Bogenschuetz, J., Brailsford, D., Brandt, A., Brickner, S., Bueno, A., Camilleri, L., Caratelli, D., Carber, D., Carlson, B., Carneiro, M., Castillo, R., Cavanna, F., Chen, H., Chung, S., Cicala, M. F., Coackley, R., Crespo-Anadón, J. I., Cuesta, C., Dalager, O., Darby, R., Del Tutto, M., Di Benedetto, V., Djurcic, Z., Duffy, K., Dytman, S., Ereditato, A., Evans, J. J., Ezeribe, A., Fan, C., Filkins, A., Fleming, B., Foreman, W., Franco, D., Furic, I., Furmanski, A., Gao, S., Garcia-Gamez, D., Gardiner, S., Ge, G., Gil-Botella, I., Gollapinni, S., Green, P., Griffith, W. C., Guenette, R., Guzowski, P., Hagaman, L., Hamer, A., Hamilton, P., Hernandez-Morquecho, M., Hilgenberg, C., Howard, B., Imani, Z., James, C., Jones, R. S., Jung, M., Junk, T., Kalra, D., Karagiorgi, G., Kelly, K., Ketchum, W., King, M., Klein, J., Kotsiopoulou, L., Kroupová, T., Kudryavtsev, V. A., Larkin, J., Lay, H., LaZur, R., Li, J. -Y., Lin, K., Littlejohn, B., Louis, W. C., Luo, X., Machado, A., Machado, P., Mariani, C., Marinho, F., Mastbaum, A., Mavrokoridis, K., McConkey, N., McCusker, B., Meddage, V., Mendez, D., Mooney, M., Moor, A. F., Moura, C. A., Mulleriababu, S., Navrer-Agasson, A., Nebot-Guinot, M., Nguyen, V. C. L., Nicolas-Arnaldos, F., Nowak, J., Oh, S., Oza, N., Palamara, O., Pallat, N., Pandey, V., Papadopoulou, A., Parkinson, H. B., Paton, J., Paulucci, L., Pavlovic, Z., Payne, D., Pelegrina-Gutiérrez, L., Pimentel, V. L., Plows, J., Psihas, F., Putnam, G., Qian, X., Rajagopalan, R., Ratoff, P., Ray, H., Reggiani-Guzzo, M., Roda, M., Ross-Lonergan, M., Safa, I., Sanchez-Castillo, A., Sanchez-Lucas, P., Schmitz, D. W., Schneider, A., Schukraft, A., Scott, H., Segreto, E., Sensenig, J., Shaevitz, M., Slater, B., Soares-Nunes, M., Soderberg, M., Söldner-Rembold, S., Spitz, J., Spooner, N. J. C., Stancari, M., Stenico, G. V., Strauss, T., Szelc, A. M., Totani, D., Toups, M., Touramanis, C., Tung, L., Valdiviesso, G. A., Van de Water, R. G., Vázquez-Ramos, A., Wan, L., Weber, M., Wei, H., Wester, T., White, A., Wilkinson, A., Wilson, P., Wongjirad, T., Worcester, E., Worcester, M., Yadav, S., Yandel, E., Yang, T., Yates, L., Yu, B., Yu, J., Zamorano, B., Zennamo, J., Zhang, C.
Publikováno v:
Eur. Phys. J. C 84, 1046 (2024)
SBND is the near detector of the Short-Baseline Neutrino program at Fermilab. Its location near to the Booster Neutrino Beam source and relatively large mass will allow the study of neutrino interactions on argon with unprecedented statistics. This p
Externí odkaz:
http://arxiv.org/abs/2406.07514
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bezerra, T. S., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Mills, C., Milton, G., Colina, A. Molina, Morris, D., Morton-Blake, I., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ collaboration reports its first spectral analysis of long-baseline reactor antineutrino oscillation using 114 tonne-years of data. Fitting the neutrino oscillation probability to the observed energy spectrum yields constraints on the neutrin
Externí odkaz:
http://arxiv.org/abs/2405.19700
Deep clustering (DC), a fusion of deep representation learning and clustering, has recently demonstrated positive results in data science, particularly text processing and computer vision. However, joint optimization of feature learning and data dist
Externí odkaz:
http://arxiv.org/abs/2405.17723
Publikováno v:
Journal of Physics A 57, 345201 (2024)
Riemann surfaces are among the simplest and most basic geometric objects. They appear as key players in many branches of physics, mathematics, and other sciences. Despite their widespread significance, how to compute distances between pairs of points
Externí odkaz:
http://arxiv.org/abs/2404.19120
Autor:
Zhenfeng Song, Pattaraporn Thepsuwan, Woosuk Steve Hur, Mauricio Torres, Shuangcheng Alivia Wu, Xiaoqiong Wei, Nusrat Jahan Tushi, Juncheng Wei, Francesca Ferraresso, Adrienne W. Paton, James C. Paton, Ze Zheng, Kezhong Zhang, Deyu Fang, Christian J. Kastrup, Sunil Jaiman, Matthew James Flick, Shengyi Sun
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Impaired secretion of an essential blood coagulation factor fibrinogen leads to hepatic fibrinogen storage disease (HFSD), characterized by the presence of fibrinogen-positive inclusion bodies and hypofibrinogenemia. However, the molecular m
Externí odkaz:
https://doaj.org/article/44fed735e7da408086582af319824222
Autor:
Liguori, Antonio, Barten, Rebecca, Baruffaldi, Filippo, Bergamaschi, Anna, Borghi, Giacomo, Boscardin, Maurizio, Brückner, Martin, Butcher, Tim Alexander, Carulla, Maria, Vignali, Matteo Centis, Dinapoli, Roberto, Ebner, Simon, Ficorella, Francesco, Fröjdh, Erik, Greiffenberg, Dominic, Ali, Omar Hammad, Hasanaj, Shqipe, Heymes, Julian, Hinger, Viktoria, King, Thomas, Kozlowski, Pawel, Lopez-Cuenca, Carlos, Mezza, Davide, Moustakas, Konstantinos, Mozzanica, Aldo, Paternoster, Giovanni, Paton, Kirsty A., Ronchin, Sabina, Ruder, Christian, Schmitt, Bernd, Thattil, Dhanya, Xie, Xiangyu, Zhang, Jiaguo
Publikováno v:
Journal of Instrumentation 18, P12006 (2023)
Experiments at synchrotron radiation sources and X-ray Free-Electron Lasers in the soft X-ray energy range ($250$eV--$2$keV) stand to benefit from the adaptation of the hybrid silicon detector technology for low energy photons. Inverse Low Gain Avala
Externí odkaz:
http://arxiv.org/abs/2310.14706