Zobrazeno 1 - 10
of 8 280
pro vyhledávání: '"Cooley P"'
Autor:
SuperCDMS Collaboration, Albakry, M. F., Alkhatib, I., Alonso-González, D., Amaral, D. W. P., Anczarski, J., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Bathurst, C., Bhattacharyya, R., Biffl, A. J., Brink, P. L., Buchanan, M., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, J. -H., Chen, R., Chott, N., Cooley, J., Coombes, H., Cushman, P., Cyna, R., Das, S., De Brienne, F., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fouts, K., Fritts, M., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Harms, S. A. S., Harris, K., Hassan, N., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Jardin, D., Kashyap, V. K. S., Keller, S. T. D., Kelsey, M. H., Kennard, K. T., Kubik, A., Kurinsky, N. A., Lee, M., Leyva, J., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mammo, J. S., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, É., Michielin, E., Mirabolfathi, N., Mirzakhani, M., Mohanty, B., Monteiro, D., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Pandey, L., Pandey, S., Partridge, R., Pedreros, D. S., Peng, W., Perna, L., Perry, W. L., Podviianiuk, R., Poudel, S. S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Rios, M., Roberts, A., Robinson, A. E., Ryan, J. L., Saab, T., Sadek, D., Sadoulet, B., Sahoo, S. P., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Simchony, A., Sincavage, D. J., Sinervo, P., Street, J., Sun, H., Tanner, E., Terry, G. D., Toback, D., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zhang, E., Zheng, L., Zuniga, A., Zurowski, M. J.
This article presents constraints on dark-matter-electron interactions obtained from the first underground data-taking campaign with multiple SuperCDMS HVeV detectors operated in the same housing. An exposure of 7.63 g-days is used to set upper limit
Externí odkaz:
http://arxiv.org/abs/2407.08085
We present polynomial-augmented neural networks (PANNs), a novel machine learning architecture that combines deep neural networks (DNNs) with a polynomial approximant. PANNs combine the strengths of DNNs (flexibility and efficiency in higher-dimensio
Externí odkaz:
http://arxiv.org/abs/2406.02336
Publikováno v:
The Twelfth International Conference on Learning Representations (ICLR 2024)
Machine learning based solvers have garnered much attention in physical simulation and scientific computing, with a prominent example, physics-informed neural networks (PINNs). However, PINNs often struggle to solve high-frequency and multi-scale PDE
Externí odkaz:
http://arxiv.org/abs/2311.04465
Autor:
Cooley, Joya A., Dairaghi, Gregor, Moore, Guy C., Horton, Matthew K., Schueller, Emily C., Persson, Kristin A., Seshadri, Ram
Co$_{1-x}$Mn$_x$Cr$_2$O$_4$ crystallizes as a normal spinel in the cubic $Fd \overline{3}m$ space group, and the end members have been reported to display a region of collinear ferrimagnetism as well as a low-temperature spin-spiral state with variab
Externí odkaz:
http://arxiv.org/abs/2309.16168
Autor:
Mhatre, Nehali, Cooley, Daniel
The innovations algorithm is a classical recursive forecasting algorithm used in time series analysis. We develop the innovations algorithm for a class of nonnegative regularly varying time series models constructed via transformed-linear arithmetic.
Externí odkaz:
http://arxiv.org/abs/2309.10061
Stakeholders representing concerns of national and global leadership, industries that use superconducting magnets in products, manufacturers of superconducting wires and tapes that supply to industries, and innovation generators from small businesses
Externí odkaz:
http://arxiv.org/abs/2308.03808
There are a number of well-known problems and conjectures about partitioning graphs to satisfy local constraints. For example, the majority colouring conjecture of Kreutzer, Oum, Seymour, van der Zypen and Wood states that every directed graph has a
Externí odkaz:
http://arxiv.org/abs/2307.06453
We propose a model to flexibly estimate joint tail properties by exploiting the convergence of an appropriately scaled point cloud onto a compact limit set. Characteristics of the shape of the limit set correspond to key tail dependence properties. W
Externí odkaz:
http://arxiv.org/abs/2306.13257
Autor:
Albakry, M. F., Alkhatib, I., Alonso, D., Amaral, D. W. P., An, P., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Banik, S., Barbeau, P. S., Bathurst, C., Bhattacharyya, R., Brink, P. L., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, R., Chott, N., Cooley, J., Coombes, H., Corbett, J., Cushman, P., Das, S., De Brienne, F., Rios, M., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fink, C. W., Fouts, K., Fritts, M., Gerbier, G., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Hassan, N., Hedges, S. C., Hines, B. A., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Kashyap, V. K. S., Kelsey, M. H., Kubik, A., Kurinsky, N. A., Lee, M., Li, A., Li, L., Litke, M., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mandic, V., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, ., Michielin, E., Mirabolfathi, N., Mohanty, B., Nebolsky, B., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Page, W. A., Pandey, S., Partridge, R., Pedreros, D. S., Perna, L., Podviianiuk, R., Ponce, F., Poudel, S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Roberts, A., Robinson, A. E., Runge, J., Saab, T., Sadek, D., Sadoulet, B., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Poudel, S. S., Sincavage, D. J., Sinervo, P., Speaks, Z., Street, J., Sun, H., Thasrawala, F. K., Toback, D., Underwood, R., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zeolla, A., Zhang, E., Zheng, L., Zheng, Y., Zuniga, A.
Publikováno v:
Physical Review Letters 131.9 (2023): 091801
We measured the nuclear--recoil ionization yield in silicon with a cryogenic phonon-sensitive gram-scale detector. Neutrons from a mono-energetic beam scatter off of the silicon nuclei at angles corresponding to energy depositions from 4\,keV down to
Externí odkaz:
http://arxiv.org/abs/2303.02196
Autor:
Albakry, M. F., Alkhatib, I., Alonso, D., Amaral, D. W. P., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Banik, S., Bathurst, C., Bhattacharyya, R., Brink, P. L., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, R., Chott, N., Cooley, J., Coombes, H., Corbett, J., Cushman, P., Das, S., De Brienne, F., Rios, M., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fink, C. W., Fouts, K., Fritts, M., Gerbier, G., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Hassan, N., Hines, B. A., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Jardin, D., Kashyap, V. K. S., Kelsey, M. H., Kubik, A., Kurinsky, N. A., Lee, M., Li, A., Litke, M., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, É., Michielin, E., Mirabolfathi, N., Mohanty, B., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Page, W. A., Pandey, S., Partridge, R., Pedreros, D. S., Perna, L., Podviianiuk, R., Ponce, F., Poudel, S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Roberts, A., Robinson, A. E., Saab, T., Sadek, D., Sadoulet, B., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Poudel, S. S., Sincavage, D. J., Sinervo, P., Street, J., Sun, H., Terry, G. D., Thasrawala, F. K., Toback, D., Underwood, R., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wu, C. -P., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zhang, E., Zheng, L., Zuniga, A.
Publikováno v:
Phys. Rev. D 107, 2023
We present a new analysis of previously published of SuperCDMS data using a profile likelihood framework to search for sub-GeV dark matter (DM) particles through two inelastic scattering channels: bremsstrahlung radiation and the Migdal effect. By co
Externí odkaz:
http://arxiv.org/abs/2302.09115