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6,101 results on '"Keller, M."'

1. Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory

Author

XLZD Collaboration, Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Akerib, D. S., Musalhi, A. K. Al, Alder, F., Althueser, L., Amaral, D. W. P., Amarasinghe, C. S., Ames, A., Andrieu, B., Angelides, N., Angelino, E., Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arthurs, M., Babicz, M., Bajpai, D., Baker, A., Balzer, M., Bang, J., Barberio, E., Bargemann, J. W., Barillier, E., Basharina-Freshville, A., Baudis, L., Bauer, D., Bazyk, M., Beattie, K., Beaupere, N., Bell, N. F., Bellagamba, L., Benson, T., Bhatti, A., Biesiadzinski, T. P., Biondi, R., Biondi, Y., Birch, H. J., Bishop, E., Bismark, A., Boehm, C., Boese, K., Bolotnikov, A., Brás, P., Braun, R., Breskin, A., Brew, C. A. J., Brommer, S., Brown, A., Bruni, G., Budnik, R., Burdin, S., Cai, C., Capelli, C., Carini, G., Carmona-Benitez, M. C., Carter, M., Chauvin, A., Chawla, A., Chen, H., Cherwinka, J. J., Chin, Y. T., Chott, N. I., Chavez, A. P. Cimental, Clark, K., Colijn, A. P., Colling, D. J., Conrad, J., Converse, M. V., Coronel, R., Costanzo, D., Cottle, A., Cox, G., Cuenca-García, J. J., Curran, D., Cussans, D., D'Andrea, V., Garcia, L. C. Daniel, Darlington, I., Dave, S., David, A., Davies, G. J., Decowski, M. P., Deisting, A., Delgaudio, J., Dey, S., Di Donato, C., Di Felice, L., Di Gangi, P., Diglio, S., Ding, C., Dobson, J. E. Y., Doerenkamp, M., Drexlin, G., Druszkiewicz, E., Dunbar, C. L., Eitel, K., Elykov, A., Engel, R., Eriksen, S. R., Fayer, S., Fearon, N. M., Ferella, A. D., Ferrari, C., Fieldhouse, N., Fischer, H., Flaecher, H., Flehmke, T., Flierman, M., Fraser, E. D., Fruth, T. M. A., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Gallice, N., Galloway, M., Gao, F., Garroum, N., Geffre, A., Genovesi, J., Ghag, C., Ghosh, S., Giacomobono, R., Gibbons, R., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., Grandi, L., Green, J., Grigat, J., van der Grinten, M. G. D., Größle, R., Guan, H., Guida, M., Gyorgy, P., Haiston, J. J., Hall, C. R., Hall, T., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hartigan-O'Connor, E., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Homenides, G. J., Hood, N. F., Horn, M., Huang, D. Q., Hughes, S., Hunt, D., Iacovacci, M., Itow, Y., Jacquet, E., Jakob, J., James, R. S., Joerg, F., Jones, S., Kaboth, A. C., Kahlert, F., Kamaha, A. C., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kemp-Russell, P., Khaitan, D., Kharbanda, P., Kilminster, B., Kim, J., Kirk, R., Kleifges, M., Klute, M., Kobayashi, M., Kodroff, D., Koke, D., Kopec, A., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., von Krosigk, B., Kudryavtsev, V. A., Kuger, F., Kurita, N., Landsman, H., Lang, R. F., Lawes, C., Lee, J., Lehnert, B., Leonard, D. S., Lesko, K. T., Levinson, L., Li, A., Li, I., Li, S., Liang, S., Liang, Z., Lin, J., Lin, Y. -T., Lindemann, S., Linden, S., Lindner, M., Lindote, A., Lippincott, W. H., Liu, K., Loizeau, J., Lombardi, F., Lopes, J. A. M., Lopes, M. I., Lorenzon, W., Loutit, M., Lu, C., Lucchetti, G. M., Luce, T., Luitz, S., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Mannino, R. L., Marignetti, F., Marley, T., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Maupin, C., McCabe, C., McCarthy, M. E., McKinsey, D. N., McLaughlin, J. B., Melchiorre, A., Menéndez, J., Messina, M., Miller, E. H., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Mizrachi, E., Molinario, A., Monteiro, C. M. B., Monzani, M. E., Morå, K., Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Müller, J., Murdy, M., Murphy, A. St. J., Murra, M., Naylor, A., Nelson, H. N., Neves, F., Newstead, J. L., Nguyen, A., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Olcina, I., Oliver-Mallory, K. C., Gann, G. D. Orebi, Orpwood, J., Ostrowskiy, I., Ouahada, S., Oyulmaz, K., Paetsch, B., Palladino, K. J., Palmer, J., Pan, Y., Pandurovic, M., Pannifer, N. J., Paramesvaran, S., Patton, S. J., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perry, E., Pershing, T., Piastra, F., Pienaar, J., Piepke, A., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qie, Y., Qin, J., Radeka, S., Radeka, V., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Reichenbacher, J., Rhyne, C. A., Richards, A., Rischbieter, G. R. C., Riyat, H. S., Rosero, R., Roy, A., Rushton, T., Rynders, D., Saakyan, R., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sartorelli, G., Sazzad, A. B. M. R., Scaffidi, A., Schnee, R. W., Schreiner, J., Schulte, P., Schulze, H., Eißing, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shaw, S., Shen, W., Sherman, L., Shi, S., Shi, S. Y., Shimada, T., Shutt, T., Silk, J. J., Silva, C., Simgen, H., Sinev, G., Singh, R., Siniscalco, J., Solmaz, M., Solovov, V. N., Song, Z., Sorensen, P., Soria, J., Stanley, O., Steidl, M., Stenhouse, T., Stevens, A., Stifter, K., Sumner, T. J., Takeda, A., Tan, P. -L., Taylor, D. J., Taylor, W. C., Thers, D., Thümmler, T., Tiedt, D. R., Tönnies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G., Tripathi, M., Tronstad, D. R., Trotta, R., Tunnell, C. D., Urquijo, P., Usón, A., Utoyama, M., Vaitkus, A. C., Valentino, O., Valerius, K., Vecchi, S., Velan, V., Vetter, S., de Viveiros, L., Volta, G., Vorkapic, D., Wang, A., Wang, J. J., Wang, W., Wang, Y., Waters, D., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Whitis, T. J., Wild, K., Williams, M., Wilson, M., Wilson, S. T., Wittweg, C., Wolf, J., Wolfs, F. L. H., Woodford, S., Woodward, D., Worcester, M., Wright, C. J., Wu, V. H. S., üstling, S. W, Wurm, M., Xia, Q., Xing, Y., Xu, D., Xu, J., Xu, Y., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yeh, M., Yu, B., Zavattini, G., Zha, W., Zhong, M., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract

The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter space down to the so-called neutrino fog. In this work we show that, based on the performance of currently operating detectors using the same technology and a realistic reduction of radioactivity in detector materials, such an experiment will also be able to competitively search for neutrinoless double beta decay in $^{136}$Xe using a natural-abundance xenon target. XLZD can reach a 3$\sigma$ discovery potential half-life of 5.7$\times$10$^{27}$ yr (and a 90% CL exclusion of 1.3$\times$10$^{28}$ yr) with 10 years of data taking, corresponding to a Majorana mass range of 7.3-31.3 meV (4.8-20.5 meV). XLZD will thus exclude the inverted neutrino mass ordering parameter space and will start to probe the normal ordering region for most of the nuclear matrix elements commonly considered by the community., Comment: 29 pages, 7 figures

Published
2024

2. The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Author

XLZD Collaboration, Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Akerib, D. S., Musalhi, A. K. Al, Alder, F., Althueser, L., Amaral, D. W. P., Amarasinghe, C. S., Ames, A., Andrieu, B., Angelides, N., Angelino, E., Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arthurs, M., Babicz, M., Bajpai, D., Baker, A., Balzer, M., Bang, J., Barberio, E., Bargemann, J. W., Barillier, E., Basharina-Freshville, A., Baudis, L., Bauer, D., Bazyk, M., Beattie, K., Beaupere, N., Bell, N. F., Bellagamba, L., Benson, T., Bhatti, A., Biesiadzinski, T. P., Biondi, R., Biondi, Y., Birch, H. J., Bishop, E., Bismark, A., Boehm, C., Boese, K., Bolotnikov, A., Brás, P., Braun, R., Breskin, A., Brew, C. A. J., Brommer, S., Brown, A., Bruni, G., Budnik, R., Burdin, S., Cai, C., Capelli, C., Carini, G., Carmona-Benitez, M. C., Carter, M., Chauvin, A., Chawla, A., Chen, H., Cherwinka, J. J., Chin, Y. T., Chott, N. I., Chavez, A. P. Cimental, Clark, K., Colijn, A. P., Colling, D. J., Conrad, J., Converse, M. V., Coronel, R., Costanzo, D., Cottle, A., Cox, G., Cuenca-García, J. J., Curran, D., Cussans, D., D'Andrea, V., Garcia, L. C. Daniel, Darlington, I., Dave, S., David, A., Davies, G. J., Decowski, M. P., Deisting, A., Delgaudio, J., Dey, S., Di Donato, C., Di Felice, L., Di Gangi, P., Diglio, S., Ding, C., Dobson, J. E. Y., Doerenkamp, M., Drexlin, G., Druszkiewicz, E., Dunbar, C. L., Eitel, K., Elykov, A., Engel, R., Eriksen, S. R., Fayer, S., Fearon, N. M., Ferella, A. D., Ferrari, C., Fieldhouse, N., Fischer, H., Flaecher, H., Flehmke, T., Flierman, M., Fraser, E. D., Fruth, T. M. A., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Gallice, N., Galloway, M., Gao, F., Garroum, N., Geffre, A., Genovesi, J., Ghag, C., Ghosh, S., Giacomobono, R., Gibbons, R., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., Grandi, L., Green, J., Grigat, J., van der Grinten, M. G. D., Größle, R., Guan, H., Guida, M., Gyorgy, P., Haiston, J. J., Hall, C. R., Hall, T., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hartigan-O'Connor, E., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Homenides, G. J., Hood, N. F., Horn, M., Huang, D. Q., Hughes, S., Hunt, D., Iacovacci, M., Itow, Y., Jacquet, E., Jakob, J., James, R. S., Joerg, F., Jones, S., Kaboth, A. C., Kahlert, F., Kamaha, A. C., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kemp-Russell, P., Khaitan, D., Kharbanda, P., Kilminster, B., Kim, J., Kirk, R., Kleifges, M., Klute, M., Kobayashi, M., Kodroff, D., Koke, D., Kopec, A., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., von Krosigk, B., Kudryavtsev, V. A., Kuger, F., Kurita, N., Landsman, H., Lang, R. F., Lawes, C., Lee, J., Lehnert, B., Leonard, D. S., Lesko, K. T., Levinson, L., Li, A., Li, I., Li, S., Liang, S., Liang, Z., Lin, J., Lin, Y. -T., Lindemann, S., Linden, S., Lindner, M., Lindote, A., Lippincott, W. H., Liu, K., Loizeau, J., Lombardi, F., Lopes, J. A. M., Lopes, M. I., Lorenzon, W., Loutit, M., Lu, C., Lucchetti, G. M., Luce, T., Luitz, S., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Mannino, R. L., Marignetti, F., Marley, T., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Maupin, C., McCabe, C., McCarthy, M. E., McKinsey, D. N., McLaughlin, J. B., Melchiorre, A., Menéndez, J., Messina, M., Miller, E. H., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Mizrachi, E., Molinario, A., Monteiro, C. M. B., Monzani, M. E., Morå, K., Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Müller, J., Murdy, M., Murphy, A. St. J., Murra, M., Naylor, A., Nelson, H. N., Neves, F., Newstead, J. L., Nguyen, A., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Olcina, I., Oliver-Mallory, K. C., Gann, G. D. Orebi, Orpwood, J., Ostrowskiy, I., Ouahada, S., Oyulmaz, K., Paetsch, B., Palladino, K. J., Palmer, J., Pan, Y., Pandurovic, M., Pannifer, N. J., Paramesvaran, S., Patton, S. J., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perry, E., Pershing, T., Piastra, F., Pienaar, J., Piepke, A., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qie, Y., Qin, J., Radeka, S., Radeka, V., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Reichenbacher, J., Rhyne, C. A., Richards, A., Rischbieter, G. R. C., Riyat, H. S., Rosero, R., Roy, A., Rushton, T., Rynders, D., Saakyan, R., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sartorelli, G., Sazzad, A. B. M. R., Scaffidi, A., Schnee, R. W., Schreiner, J., Schulte, P., Schulze, H., Eißing, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shaw, S., Shen, W., Sherman, L., Shi, S., Shi, S. Y., Shimada, T., Shutt, T., Silk, J. J., Silva, C., Simgen, H., Sinev, G., Singh, R., Siniscalco, J., Solmaz, M., Solovov, V. N., Song, Z., Sorensen, P., Soria, J., Stanley, O., Steidl, M., Stenhouse, T., Stevens, A., Stifter, K., Sumner, T. J., Takeda, A., Tan, P. -L., Taylor, D. J., Taylor, W. C., Thers, D., Thümmler, T., Tiedt, D. R., Tönnies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G., Tripathi, M., Tronstad, D. R., Trotta, R., Tunnell, C. D., Urquijo, P., Usón, A., Utoyama, M., Vaitkus, A. C., Valentino, O., Valerius, K., Vecchi, S., Velan, V., Vetter, S., de Viveiros, L., Volta, G., Vorkapic, D., Wang, A., Wang, J. J., Wang, W., Wang, Y., Waters, D., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Whitis, T. J., Wild, K., Williams, M., Wilson, M., Wilson, S. T., Wittweg, C., Wolf, J., Wolfs, F. L. H., Woodford, S., Woodward, D., Worcester, M., Wright, C. J., Wu, V. H. S., üstling, S. W, Wurm, M., Xia, Q., Xing, Y., Xu, D., Xu, J., Xu, Y., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yeh, M., Yu, B., Zavattini, G., Zha, W., Zhong, M., and Zuber, K.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Physics - Instrumentation and Detectors
Abstract

This report describes the experimental strategy and technologies for a next-generation xenon observatory sensitive to dark matter and neutrino physics. The detector will have an active liquid xenon target mass of 60-80 tonnes and is proposed by the XENON-LUX-ZEPLIN-DARWIN (XLZD) collaboration. The design is based on the mature liquid xenon time projection chamber technology of the current-generation experiments, LZ and XENONnT. A baseline design and opportunities for further optimization of the individual detector components are discussed. The experiment envisaged here has the capability to explore parameter space for Weakly Interacting Massive Particle (WIMP) dark matter down to the neutrino fog, with a 3$\sigma$ evidence potential for the spin-independent WIMP-nucleon cross sections as low as $3\times10^{-49}\rm cm^2$ (at 40 GeV/c$^2$ WIMP mass). The observatory is also projected to have a 3$\sigma$ observation potential of neutrinoless double-beta decay of $^{136}$Xe at a half-life of up to $5.7\times 10^{27}$ years. Additionally, it is sensitive to astrophysical neutrinos from the atmosphere, sun, and galactic supernovae., Comment: 32 pages, 14 figures

Published
2024

3. Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline

Author

Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Althueser, L., Amaral, D. W. P., Andrieu, B., Angelino, E., Martin, D. Antón, Antunovic, B., Aprile, E., Babicz, M., Bajpai, D., Balzer, M., Barberio, E., Baudis, L., Bazyk, M., Bell, N. F., Bellagamba, L., Biondi, R., Biondi, Y., Bismark, A., Boehm, C., Boese, K., Braun, R., Breskin, A., Brommer, S., Brown, A., Bruni, G., Budnik, R., Cai, C., Capelli, C., Chauvin, A., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Doerenkamp, M., Drexlin, G., Eitel, K., Elykov, A., Engel, R., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Garroum, N., Giacomobono, R., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grigat, J., Größle, R., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., James, R. S., Joerg, F., Kahlert, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kharbanda, P., Kilminster, B., Kleifges, M., Klute, M., Kobayashi, M., Koke, D., Kopec, A., von Krosigk, B., Kuger, F., LaCascio, L., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, A., Li, S., Liang, S., Liang, Z., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Lucchetti, G. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Menéndez, J., Messina, M., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Molinario, A., Monteiro, C. M. B., Morå, K., Moriyama, S., Morteau, E., Mosbacher, Y., Müller, J., Murra, M., Newstead, J. L., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Ostrowskiy, I., Ouahada, S., Paetsch, B., Pan, Y., Pandurovic, M., Pellegrini, Q., Peres, R., Piastra, F., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qin, J., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Sanchez, L., Sanchez-Lucas, P., Sartorelli, G., Scaffidi, A., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shen, W., Shi, S. Y., Shimada, T., Simgen, H., Singh, R., Solmaz, M., Stanley, O., Steidl, M., Stevens, A., Takeda, A., Tan, P. -L., Thers, D., Thümmler, T., Tönnies, F., Toschi, F., Trinchero, G., Trotta, R., Tunnell, C. D., Urquijo, P., Utoyama, M., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Vorkapic, D., Wang, W., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Wilson, M., Wittweg, C., Wolf, J., Wu, V. H. S., Wüstling, S., Wurm, M., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors
Abstract

We present a novel deep learning pipeline to perform a model-independent, likelihood-free search for anomalous (i.e., non-background) events in the proposed next generation multi-ton scale liquid Xenon-based direct detection experiment, DARWIN. We train an anomaly detector comprising a variational autoencoder and a classifier on extensive, high-dimensional simulated detector response data and construct a one-dimensional anomaly score optimised to reject the background only hypothesis in the presence of an excess of non-background-like events. We benchmark the procedure with a sensitivity study that determines its power to reject the background-only hypothesis in the presence of an injected WIMP dark matter signal, outperforming the classical, likelihood-based background rejection test. We show that our neural networks learn relevant energy features of the events from low-level, high-dimensional detector outputs, without the need to compress this data into lower-dimensional observables, thus reducing computational effort and information loss. For the future, our approach lays the foundation for an efficient end-to-end pipeline that eliminates the need for many of the corrections and cuts that are traditionally part of the analysis chain, with the potential of achieving higher accuracy and significant reduction of analysis time., Comment: 10 Figures, 3 Tables, 23 Pages (incl. references)

Published
2024

4. Exploring Early Career Physical Education Teachers' Professional Identity Construction in Rural China: Insights from Socio-Ecological Perspective and Practice Architectures Theory

Author

Liang Shen, Gang Zhu, Keller M. Jean, Zhanmin Cui, Chen Chen, and Mingxing Xie

Abstract

This qualitative study explored 15 early career physical education (PE) teachers' professional identity construction from rural China. Identity was shown as a multifaceted, context-specific, and dynamic social-cultural phenomenon. From a socio-ecological standpoint, this research demonstrated that early career rural Chinese PE teachers' professional identity construction was shaped by the interplay between family backgrounds, Chinese Confucian cultural tradition, physicality, schooling experiences, workplace contexts, and the PE core competency curriculum policy. From the perspective of practice architecture, the professional identity construction encompassed their cultural-discursive arrangements (sayings), material-economic arrangements (doings), and social-political arrangements (relating). PE teachers' professional identity may be facilitated by school administrators and education policymakers' support.

Published
2024
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5. Cosmogenic background simulations for the DARWIN observatory at different underground locations

Author

Adrover, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antunovic, B., Aprile, E., Babicz, M., Bajpai, D., Barberio, E., Baudis, L., Bazyk, M., Bell, N., Bellagamba, L., Biondi, R., Biondi, Y., Bismark, A., Boehm, C., Breskin, A., Brookes, E. J., Brown, A., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Chauvin, A., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Decowski, M. P., Deisting, A., Di Gangi, P., Diglio, S., Doerenkamp, M., Drexlin, G., Eitel, K., Elykov, A., Engel, R., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Garroum, N., Ghosh, S., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grigat, J., Größle, R., Guan, H., Guida, M., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hasegawa, T., Hils, C., Higuera, A., Hiraoka, K., Hoetzsch, L., Iacovacci, M., Itow, Y., Jakob, J., Jörg, F., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kilminster, B., Kleifges, M., Kobayashi, M., Kopec, A., von Krosigk, B., Kuger, F., Landsman, H., Lang, R. F., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Lombardi, F., Loizeau, J., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Undagoitia, T. Marrodán, Lopes, J. A. M., Marignetti, F., Martens, K., Masbou, J., Mastroianni, S., Milutinovic, S., Miuchi, K., Miyata, R., Molinario, A., Monteiro, C. M. B., Morå, K., Morteau, E., Mosbacher, Y., Müller, J., Murra, M., Newstead, J. L., Ni, K., Oberlack, U. G., Ostrovskiy, I., Paetsch, B., Pandurovic, M., Pellegrini, Q., Peres, R., Pienaar, J., Pierre, M., Piotter, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., Silva, M. Rajado, García, D. Ramírez, Razeto, A., Sakamoto, S., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sartorelli, G., Scaffidi, A., Schulte, P., Schultz-Coulon, H. -C., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shen, W., Silva, M., Simgen, H., Singh, R., Solmaz, M., Stanley, O., Steidl, M., Tan, P. L., Terliuk, A., Thers, D., Thümmler, T., Tönnies, F., Toschi, F., Trinchero, G., Trotta, R., Tunnell, C., Urquijo, P., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Vorkapic, D., Wang, W., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, J., Wolf, T., Wu, V. H. S., Wurm, M., Xing, Y., Yamashita, M., Ye, J., Zavattini, G., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors
Abstract

Xenon dual-phase time projections chambers (TPCs) have proven to be a successful technology in studying physical phenomena that require low-background conditions. With 40t of liquid xenon (LXe) in the TPC baseline design, DARWIN will have a high sensitivity for the detection of particle dark matter, neutrinoless double beta decay ($0\nu\beta\beta$), and axion-like particles (ALPs). Although cosmic muons are a source of background that cannot be entirely eliminated, they may be greatly diminished by placing the detector deep underground. In this study, we used Monte Carlo simulations to model the cosmogenic background expected for the DARWIN observatory at four underground laboratories: Laboratori Nazionali del Gran Sasso (LNGS), Sanford Underground Research Facility (SURF), Laboratoire Souterrain de Modane (LSM) and SNOLAB. We determine the production rates of unstable xenon isotopes and tritium due to muon-included neutron fluxes and muon-induced spallation. These are expected to represent the dominant contributions to cosmogenic backgrounds and thus the most relevant for site selection.

Published
2023
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6. A novel process to help refinery operations comply with the U.S. Renewable Fuel Standard

Author

Keller, A., Wallsgrove, C., and Keller, M.

Subjects
United States. Environmental Protection Agency -- Standards, Energy minerals -- Standards, Fossil fuels -- Standards, Air quality management -- Standards, Air pollution, Business, Petroleum, energy and mining industries
Abstract

The Renewable Fuel Standard (RFS) is a regulation that requires refineries in the U.S. to output a certain percentage of their fuel from renewable sources, such as plants or animal [...]

Published
2024

7. Measuring the stability of fundamental constants with a network of clocks

Author

Barontini, G., Blackburn, L., Boyer, V., Butuc-Mayer, F., Calmet, X., Lopez-Urrutia, J. R. Crespo, Curtis, E. A., Darquie, B., Dunningham, J., Fitch, N. J., Forgan, E. M., Georgiou, K., Gill, P., Godun, R. M., Goldwin, J., Guarrera, V., Harwood, A. C., Hill, I. R., Hendricks, R. J., Jeong, M., Johnson, M. Y. H., Keller, M., Sajith, L. P. Kozhiparambil, Kuipers, F., Margolis, H. S., Mayo, C., Newman, P., Parsons, A. O., Prokhorov, L., Robertson, B. I., Rodewald, J., Safronova, M. S., Sauer, B. E., Schioppo, M., Sherrill, N., Stadnik, Y. V., Szymaniec, K., Tarbutt, M. R., Thompson, R. C., Tofful, A., Tunesi, J., Vecchio, A., Wang, Y., and Worm, S.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Experiment, Physics - Atomic Physics
Abstract

The detection of variations of fundamental constants of the Standard Model would provide us with compelling evidence of new physics, and could lift the veil on the nature of dark matter and dark energy. In this work, we discuss how a network of atomic and molecular clocks can be used to look for such variations with unprecedented sensitivity over a wide range of time scales. This is precisely the goal of the recently launched QSNET project: A network of clocks for measuring the stability of fundamental constants. QSNET will include state-of-the-art atomic clocks, but will also develop next-generation molecular and highly charged ion clocks with enhanced sensitivity to variations of fundamental constants. We describe the technological and scientific aims of QSNET and evaluate its expected performance. We show that in the range of parameters probed by QSNET, either we will discover new physics, or we will impose new constraints on violations of fundamental symmetries and a range of theories beyond the Standard Model, including dark matter and dark energy models.

Published
2021
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8. QSNET, a network of clocks for measuring the stability of fundamental constants

Author

Barontini, G., Boyer, V., Calmet, X., Fitch, N. J., Forgan, E. M., Godun, R. M., Goldwin, J., Guarrera, V., Hill, I. R., Jeong, M., Keller, M., Kuipers, F., Margolis, H. S., Newman, P., Prokhorov, L., Rodewald, J., Sauer, B. E., Schioppo, M., Sherrill, N., Tarbutt, M. R., Vecchio, A., and Worm, S.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Experiment, Physics - Atomic Physics
Abstract

The QSNET consortium is building a UK network of next-generation atomic and molecular clocks that will achieve unprecedented sensitivity in testing variations of the fine structure constant, $\alpha$, and the electron-to-proton mass ratio, $\mu$. This in turn will provide more stringent constraints on a wide range of fundamental and phenomenological theories beyond the Standard Model and on dark matter models.

Published
2021
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10. Cosmogenic background simulations for neutrinoless double beta decay with the DARWIN observatory at various underground sites

Author

Adrover, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antunovic, B., Aprile, E., Babicz, M., Bajpai, D., Barberio, E., Baudis, L., Bazyk, M., Bell, N., Bellagamba, L., Biondi, R., Biondi, Y., Bismark, A., Boehm, C., Breskin, A., Brookes, E. J., Brown, A., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Chauvin, A., Cimental Chavez, A. P., Colijn, A. P., Conrad, J., Cuenca-García, J. J., D’Andrea, V., Decowski, M. P., Deisting, A., Di Gangi, P., Diglio, S., Doerenkamp, M., Drexlin, G., Eitel, K., Elykov, A., Engel, R., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Garroum, N., Ghosh, S., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grigat, J., Größle, R., Guan, H., Guida, M., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hasegawa, T., Hils, C., Higuera, A., Hiraoka, K., Hoetzsch, L., Iacovacci, M., Itow, Y., Jakob, J., Jörg, F., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kilminster, B., Kleifges, M., Kobayashi, M., Kopec, A., von Krosigk, B., Kuger, F., Landsman, H., Lang, R. F., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Lombardi, F., Loizeau, J., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Marrodán Undagoitia, T., Lopes, J. A. M., Marignetti, F., Martens, K., Masbou, J., Mastroianni, S., Milutinovic, S., Miuchi, K., Miyata, R., Molinario, A., Monteiro, C. M. B., Morå, K., Morteau, E., Mosbacher, Y., Müller, J., Murra, M., Newstead, J. L., Ni, K., Oberlack, U. G., Ostrovskiy, I., Paetsch, B., Pandurovic, M., Pellegrini, Q., Peres, R., Pienaar, J., Pierre, M., Piotter, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., Rajado Silva, M., Ramírez García, D., Razeto, A., Sakamoto, S., Sanchez, L., Sanchez-Lucas, P., dos Santos, J. M. F., Sartorelli, G., Scaffidi, A., Schulte, P., Schultz-Coulon, H.-C., Schulze Eißing, H., Schumann, M., Scotto Lavina, L., Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shen, W., Silva, M., Simgen, H., Singh, R., Solmaz, M., Stanley, O., Steidl, M., Tan, P.-L., Terliuk, A., Thers, D., Thümmler, T., Tönnies, F., Toschi, F., Trinchero, G., Trotta, R., Tunnell, C., Urquijo, P., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Vorkapic, D., Wang, W., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, J., Wolf, T., Wu, V. H. S., Wurm, M., Xing, Y., Yamashita, M., Ye, J., Zavattini, G., and Zuber, K.

Published
2024
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13. Solar Neutrino Detection Sensitivity in DARWIN via Electron Scattering

Author

Aalbers, J., Agostini, F., Maouloud, S. E. M. Ahmed, Alfonsi, M., Althueser, L., Amaro, F., Angevaare, J., Antochi, V. C., Antunovic, B., Aprile, E., Arazi, L., Arneodo, F., Balzer, M., Baudis, L., Baur, D., Benabderrahmane, M. L., Biondi, Y., Bismark, A., Bourgeois, C., Breskin, A., Breur, P. A., Brown, A., Brown, E., Brünner, S., Bruno, G., Budnik, R., Capelli, C., Cardoso, J., Cichon, D., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., Decowski, M. P., Depoian, A., Dierle, J., Di Gangi, P., Di Giovanni, A., Diglio, S., Douillet, D., Drexlin, G., Eitel, K., Engel, R., Erdal, E., Ferella, A. D., Fischer, H., Fischer, P., Fulgione, W., Gaemers, P., Galloway, M., Gao, F., Giovagnoli, D., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grohmann, S., Größle, R., Gumbsheimer, R., Hannen, V., Hansmann-Menzemer, S., Hils, C., Holzapfel, B., Howlett, J., Iaquaniello, G., Jörg, F., Keller, M., Kellerer, J., Khundzakishvili, G., Kilminster, B., Kleifges, M., Kleiner, T. K., Koltmann, G., Kopec, A., Kopmann, A., Krauss, L. M., Kuger, F., LaCascio, L., Landsman, H., Lang, R. F., Lindemann, S., Lindner, M., Lombardi, F., Lopes, J. A. M., Villalpando, A. Loya, Ma, Y., Macolino, C., Mahlstedt, J., Manfredini, A., Undagoitia, T. Marrodán, Masbou, J., Masson, D., Masson, E., McFadden, N., Meinhardt, P., Meyer, R., Milosevic, B., Milutinovic, S., Molinario, A., Monteiro, C. M. B., Morå, K., Morteau, E., Mosbacher, Y., Murra, M., Newstead, J. L., Ni, K., Oberlack, U. G., Obradovic, M., Odgers, K., Ostrovskiy, I., Palacio, J., Pandurovic, M., Pelssers, B., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S. E., Rupp, N., Sanchez-Lucas, P., Santos, J., Sartorelli, G., Schulte, D., Schultz-Coulon, H. -C., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Shagin, P., Sharma, S., Shen, W., Silva, M., Simgen, H., Steidl, M., Stern, S., Subotic, D., Szabo, P., Terliuk, A., Therreau, C., Thers, D., Thieme, K., Toennies, F., Trotta, R., Tunnell, C. D., Valerius, K., Volta, G., Vorkapic, D., Weber, M., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, J., Wuestling, S., Wurm, M., Xing, Y., Zhu, T., Zhu, Y., Zopounidis, J. P., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Solar and Stellar Astrophysics, High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

We detail the sensitivity of the liquid xenon (LXe) DARWIN observatory to solar neutrinos via elastic electron scattering. We find that DARWIN will have the potential to measure the fluxes of five solar neutrino components: $pp$, $^7$Be, $^{13}$N, $^{15}$O and $pep$. The precision of the $^{13}$N, $^{15}$O and $pep$ components is hindered by the double-beta decay of $^{136}$Xe and, thus, would benefit from a depleted target. A high-statistics observation of $pp$ neutrinos would allow us to infer the values of the weak mixing angle, $\sin^2\theta_w$, and the electron-type neutrino survival probability, $P_e$, in the electron recoil energy region from a few keV up to 200 keV for the first time, with relative precision of 5% and 4%, respectively, at an exposure of 300 ty. An observation of $pp$ and $^7$Be neutrinos would constrain the neutrino-inferred solar luminosity down to 0.2%. A combination of all flux measurements would distinguish between the high (GS98) and low metallicity (AGS09) solar models with 2.1-2.5$\sigma$ significance, independent of external measurements from other experiments or a measurement of $^8$B neutrinos through coherent elastic neutrino-nucleus scattering in DARWIN. Finally, we demonstrate that with a depleted target DARWIN may be sensitive to the neutrino capture process of $^{131}$Xe., Comment: 9 pages, 4 figures; for associated data files, see https://github.com/Physik-Institut-UZH/DARWIN-Sensitivity-Studies/tree/master/solar_neutrinos_electron_scattering

Published
2020

14. Site Selective Chlorination of C(sp3)−H Bonds Suitable for Late‐Stage Functionalization

Author

Fawcett, Alexander, Keller, M Josephine, Herrera, Zachary, and Hartwig, John F

Subjects
Inorganic Chemistry, Organic Chemistry, Chemical Sciences, Biological Products, Chlorides, Halogenation, Hydrocarbons, Chlorinated, Iodine, Molecular Structure, C&#8722, H functionalization, chlorination, halogenation, late-stage functionalization, radical reactions, C−H functionalization, Chemical sciences
Abstract

C(sp3 )-Cl bonds are present in numerous biologically active small molecules, and an ideal route for their preparation is by the chlorination of a C(sp3 )-H bond. However, most current methods for the chlorination of C(sp3 )-H bonds are insufficiently site selective and tolerant of functional groups to be applicable to the late-stage functionalization of complex molecules. We report a method for the highly selective chlorination of tertiary and benzylic C(sp3 )-H bonds to produce the corresponding chlorides, generally in high yields. The reaction occurs with a mixture of an azidoiodinane, which generates a selective H-atom abstractor under mild conditions, and a readily-accessible and inexpensive copper(II) chloride complex, which efficiently transfers a chlorine atom. The reaction's exceptional functional group tolerance is demonstrated by the chlorination of >30 diversely functionalized substrates and the late-stage chlorination of a dozen derivatives of natural products and active pharmaceutical ingredients.

Published
2021

15. Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator

Author

Huang, M, Xu, Y, Longo, M, Keller, M, Knox, RG, Koven, CD, and Fisher, RA

Subjects
Meteorology & Atmospheric Sciences, Earth Sciences, Environmental Sciences, Biological Sciences
Abstract

Tropical forest degradation from logging, fire, and fragmentation not only alters carbon stocks and carbon fluxes, but also impacts physical land surface properties such as albedo and roughness length. Such impacts are poorly quantified to date due to difficulties in accessing and maintaining observational infrastructures, as well as the lack of proper modeling tools for capturing the interactions among biophysical properties, ecosystem demography, canopy structure, and biogeochemical cycling in tropical forests. As a first step to address these limitations, we implemented a selective logging module into the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) by mimicking the ecological, biophysical, and biogeochemical processes following a logging event. The model can specify the timing and aerial extent of logging events, splitting the logged forest patch into disturbed and intact patches; determine the survivorship of cohorts in the disturbed patch; and modifying the biomass and necromass (total mass of coarse woody debris and litter) pools following logging. We parameterized the logging module to reproduce a selective logging experiment at the Tapajós National Forest in Brazil and benchmarked model outputs against available field measurements. Our results suggest that the model permits the coexistence of early and late successional functional types and realistically characterizes the seasonality of water and carbon fluxes and stocks, the forest structure and composition, and the ecosystem succession following disturbance. However, the current version of FATES overestimates water stress in the dry season and therefore fails to capture seasonal variation in latent and sensible heat fluxes. Moreover, we observed a bias towards low stem density and leaf area when compared to observations, suggesting that improvements are needed in both carbon allocation and establishment of trees. The effects of logging were assessed by different logging scenarios to represent reduced impact and conventional logging practices, both with high and low logging intensities. The model simulations suggest that in comparison to old-growth forests the logged forests rapidly recover water and energy fluxes in 1 to 3 years. In contrast, the recovery times for carbon stocks, forest structure, and composition are more than 30 years depending on logging practices and intensity. This study lays the foundation to simulate land use change and forest degradation in FATES, which will be an effective tool to directly represent forest management practices and regeneration in the context of Earth system models.

Published
2020

17. Validation of a computer code for the energy consumption of a building, with application to optimal electric bill pricing

Author

Keller, M., Damblin, G., Pasanisi, A., Schuman, M., Barbillon, P., Ruggeri, F., and Parent, E.

Subjects
Statistics - Applications
Abstract

In this paper, we propose a practical Bayesian framework for the calibration and validation of a computer code, and apply it to a case study concerning the energy consumption forecasting of a building. Validation allows to quantify forecasting uncertainties in view of the code's final use. Here we explore the situation where an energy provider promotes new energy contracts for residential buildings, tailored to each customer's needs, and including a guarantee of energy performance. Based on power field measurements, collected from an experimental building cell over a certain time period, the code is calibrated, effectively reducing the epistemic uncertainty affecting some code parameters (here albedo, thermal bridge factor and convective coefficient). Validation is conducted by testing the goodness of fit of the code with respect to field measures, and then by propagating the a posteriori parametric uncertainty through the code, yielding probabilistic forecasts of the average electric power delivered inside the cell over a given time period. To illustrate the benefits of the proposed Bayesian validation framework, we address the decision problem for an energy supplier offering a new type of contract, wherein the customer pays a fixed fee chosen in advance, based on an overall energy consumption forecast. According to Bayesian decision theory, we show how to choose such a fee optimally from the point of view of the supplier, in order to balance short-terms benefits with customer loyalty., Comment: 20 pages, 9 figures

Published
2018

18. Two-frequency operation of a Paul trap to optimise confinement of two species of ions

Author

Foot, C. J., Trypogeorgos, D., Bentine, E., Gardner, A., and Keller, M.

Subjects
Physics - Instrumentation and Detectors, Physics - Atomic Physics
Abstract

We describe the operation of an electrodynamic ion trap in which the electric quadrupole field oscillates at two frequencies. This mode of operation allows simultaneous tight confinement of ions with extremely different charge-to-mass ratios, e.g., singly ionised atomic ions together with multiply charged nanoparticles. We derive the stability conditions for two-frequency operation from asymptotic properties of the solutions of the Mathieu equation and give a general treatment of the effect of damping on parametric resonances. Two-frequency operation is effective when the two species' mass ratios and charge ratios are sufficiently large, and further when the frequencies required to optimally trap each species are widely separated. This system resembles two coincident Paul traps, each operating close to a frequency optimized for one of the species, such that both species are tightly confined. This method of operation provides an advantage over single-frequency Paul traps, in which the more weakly confined species forms a sheath around a central core of tightly confined ions. We verify these ideas using numerical simulations and by measuring the parametric heating induced in experiments by the additional driving frequency., Comment: 12 pages, 7 figures

Published
2018
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19. Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar

Author

Scaranello, MAS, Keller, M, Longo, M, Dos-Santos, MN, Leitold, V, Morton, DC, Pinagé, ER, and Del Bon Espírito-Santo, F

Subjects
Meteorology & Atmospheric Sciences, Earth Sciences, Environmental Sciences, Biological Sciences
Abstract

Coarse dead wood is an important component of forest carbon stocks, but it is rarely measured in Amazon forests and is typically excluded from regional forest carbon budgets. Our study is based on line intercept sampling for fallen coarse dead wood conducted along 103 transects with a total length of 48 km matched with forest inventory plots where standing coarse dead wood was measured in the footprints of larger areas of airborne lidar acquisitions. We developed models to relate lidar metrics and Landsat time series variables to coarse dead wood stocks for intact, logged, burned, or logged and burned forests. Canopy characteristics such as gap area produced significant individual relations for logged forests. For total fallen plus standing coarse dead wood (hereafter defined as total coarse dead wood), the relative root mean square error for models with only lidar metrics ranged from 33% in logged forest to up to 36% in burned forests. The addition of historical information improved model performance slightly for intact forests (31% against 35% relative root mean square error), not justifying the use of a number of disturbance events from historical satellite images (Landsat) with airborne lidar data. Lidarderived estimates of total coarse dead wood compared favorably with independent ground-based sampling for areas up to several hundred hectares. The relations found between total coarse dead wood and variables quantifying forest structure derived from airborne lidar highlight the opportunity to quantify this important but rarely measured component of forest carbon over large areas in tropical forests.

Published
2019

20. Long-term impacts of selective logging on amazon forest dynamics from multi-temporal airborne lidar

Author

Pinagé, ER, Keller, M, Duffy, P, Longo, M, Dos-Santos, MN, and Morton, DC

Subjects
tropical forests, forest degradation, selective logging, forest structure, laser scanning, Classical Physics, Physical Geography and Environmental Geoscience, Geomatic Engineering
Abstract

Forest degradation is common in tropical landscapes, but estimates of the extent and duration of degradation impacts are highly uncertain. In particular, selective logging is a form of forest degradation that alters canopy structure and function, with persistent ecological impacts following forest harvest. In this study, we employed airborne laser scanning in 2012 and 2014 to estimate three-dimensional changes in the forest canopy and understory structure and aboveground biomass following reduced-impact selective logging in a site in Eastern Amazon. Also, we developed a binary classification model to distinguish intact versus logged forests. We found that canopy gap frequency was significantly higher in logged versus intact forests even after 8 years (the time span of our study). In contrast, the understory of logged areas could not be distinguished from the understory of intact forests after 6–7 years of logging activities. Measuring new gap formation between LiDAR acquisitions in 2012 and 2014, we showed rates 2 to 7 times higher in logged areas compared to intact forests. New gaps were spatially clumped with 76 to 89% of new gaps within 5 m of prior logging damage. The biomass dynamics in areas logged between the two LiDAR acquisitions was clearly detected with an average estimated loss of −4.14 ± 0.76 MgC ha−1 y−1. In areas recovering from logging prior to the first acquisition, we estimated biomass gains close to zero. Together, our findings unravel the magnitude and duration of delayed impacts of selective logging in forest structural attributes, confirm the high potential of airborne LiDAR multitemporal data to characterize forest degradation in the tropics, and present a novel approach to forest classification using LiDAR data.

Published
2019

21. Adverse Pregnancy Outcomes Among Women Who Conceive on Antiretroviral Therapy

Author

Hoffman, Risa M, Brummel, Sean S, Britto, Paula, Pilotto, Jose H, Masheto, Gaerolwe, Aurpibul, Linda, Joao, Esau, Purswani, Murli U, Buschur, Shelley, Pierre, Marie Flore, Coletti, Anne, Chakhtoura, Nahida, Klingman, Karin L, Currier, Judith S, Losso, M, Machado, E, de Menezes, J, Duarte, G, Sperhacke, R, Pinto, J, Kreitchman, R, Santos, B, Wei, L, Pape, JW, Sanchez, J, Sandoval, E, Chokephaibulkit, K, Achalapong, J, Halue, G, Yuthavisuthi, P, Prommas, S, Bowonwatanuwong, C, Sirisanthana, V, Riddler, S, Kumar, P, Shearer, W, Yogev, R, Scott, G, Spector, S, Cunningham, C, Bamji, M, Cooper, E, Wiznia, A, Hitti, J, Emmanuel, P, Scott, R, Acevedo, M, Nachman, S, Jones, T, Rana, S, Keller, M, Stek, A, Rathore, M, McFarland, E, Puga, A, Agwu, A, Chen, T, Van Dyke, R, Deville, J, Purswani, M, Tebas, P, Flynn, P, and Fischl, M

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Contraception/Reproduction, Infectious Diseases, Reproductive health and childbirth, Abortion, Spontaneous, Adult, Anti-Retroviral Agents, Female, HIV Infections, Humans, Pregnancy, Stillbirth, Young Adult, HIV/AIDS, antiretroviral therapy, pregnancy, conception, pregnancy outcomes, PROMISE (Promoting Maternal and Infant Safety Everywhere) 1077HS Team, Biological Sciences, Medical and Health Sciences, Microbiology, Clinical sciences
Abstract

BackgroundAdverse pregnancy outcomes for women who conceive on antiretroviral therapy (ART) may be increased, but data are conflicting.MethodsHuman immunodeficiency virus-infected, nonbreastfeeding women with pre-ART CD4 counts ≥400 cells/μL who started ART during pregnancy were randomized after delivery to continue ART (CTART) or discontinue ART (DCART). Women randomized to DCART were recommended to restart if a subsequent pregnancy occurred or for clinical indications. Using both intent-to-treat and as-treated approaches, we performed Fisher exact tests to compare subsequent pregnancy outcomes by randomized arm.ResultsSubsequent pregnancies occurred in 277 of 1652 (17%) women (CTART: 144/827; DCART: 133/825). A pregnancy outcome was recorded for 266 (96%) women with a median age of 27 years (interquartile range [IQR], 24-31 years) and median CD4+ T-cell count 638 cells/μL (IQR, 492-833 cells/μL). When spontaneous abortions and stillbirths were combined, there was a significant difference in events, with 33 of 140 (23.6%) in the CTART arm and 15 of 126 (11.9%) in the DCART arm (relative risk [RR], 2.0 [95% confidence interval {CI}, 1.1-3.5]; P = .02). In the as-treated analysis, the RR was reduced and no longer statistically significant (RR, 1.4 [95% CI, .8-2.4]).ConclusionsWomen randomized to continue ART who subsequently conceived were more likely to have spontaneous abortion or stillbirth, compared with women randomized to stop ART; however, the findings did not remain significant in the as-treated analysis. More data are needed on pregnancy outcomes among women conceiving on ART, particularly with newer regimens.

Published
2019

23. Measuring the stability of fundamental constants with a network of clocks

Author

Barontini, G., Blackburn, L., Boyer, V., Butuc-Mayer, F., Calmet, X., Crespo López-Urrutia, J. R., Curtis, E. A., Darquié, B., Dunningham, J., Fitch, N. J., Forgan, E. M., Georgiou, K., Gill, P., Godun, R. M., Goldwin, J., Guarrera, V., Harwood, A. C., Hill, I. R., Hendricks, R. J., Jeong, M., Johnson, M. Y. H., Keller, M., Kozhiparambil Sajith, L. P., Kuipers, F., Margolis, H. S., Mayo, C., Newman, P., Parsons, A. O., Prokhorov, L., Robertson, B. I., Rodewald, J., Safronova, M. S., Sauer, B. E., Schioppo, M., Sherrill, N., Stadnik, Y. V., Szymaniec, K., Tarbutt, M. R., Thompson, R. C., Tofful, A., Tunesi, J., Vecchio, A., Wang, Y., and Worm, S.

Published
2022
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26. Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation

Author

Rappaport, DI, Morton, DC, Longo, M, Keller, M, Dubayah, R, and Dos-Santos, MN

Subjects
aboveground biomass, forest structure, habitat, understory fires, carbon cycling, airborne lidar, REDD, Meteorology & Atmospheric Sciences
Abstract

Despite sustained declines in Amazon deforestation, forest degradation from logging and fire continues to threaten carbon stocks, habitat, and biodiversity in frontier forests along the Amazon arc of deforestation. Limited data on the magnitude of carbon losses and rates of carbon recovery following forest degradation have hindered carbon accounting efforts and contributed to incomplete national reporting to reduce emissions from deforestation and forest degradation (REDD+). We combined annual time series of Landsat imagery and high-density airborne lidar data to characterize the variability, magnitude, and persistence of Amazon forest degradation impacts on aboveground carbon density (ACD) and canopy structure. On average, degraded forests contained 45.1% of the carbon stocks in intact forests, and differences persisted even after 15 years of regrowth. In comparison to logging, understory fires resulted in the largest and longest-lasting differences in ACD. Heterogeneity in burned forest structure varied by fire severity and frequency. Forests with a history of one, two, and three or more fires retained only 54.4%, 25.2%, and 7.6% of intact ACD, respectively, when measured after a year of regrowth. Unlike the additive impact of successive fires, selective logging before burning did not explain additional variability in modeled ACD loss and recovery of burned forests. Airborne lidar also provides quantitative measures of habitat structure that can aid the estimation of co-benefits of avoided degradation. Notably, forest carbon stocks recovered faster than attributes of canopy structure that are critical for biodiversity in tropical forests, including the abundance of tall trees. We provide the first comprehensive look-up table of emissions factors for specific degradation pathways at standard reporting intervals in the Amazon. Estimated carbon loss and recovery trajectories provide an important foundation for assessing the long-term contributions from forest degradation to regional carbon cycling and advance our understanding of the current state of frontier forests.

Published
2018

28. A Comparison of Ventilator Interpretation Skills Between Attending Intensivists and Incoming Critical Care Fellows

Author

Amirahmadi, R., primary, Alnababteh, M., additional, Keller, M., additional, Bagavathy, K., additional, Safadi, S., additional, Staitieh, B.S., additional, Maximous, S., additional, Kriner, E., additional, Woods, C.J., additional, Oweis, E.S.M., additional, Schreiber, M.P., additional, Seam, N., additional, and Lee, B.W., additional

Published
2024
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29. Cell-Free DNA Exposes Tissue Injury Profiles Leading to Primary Graft Dysfunction

Author

Kong, H., primary, Casillan, A., additional, Sun, J., additional, Hill, T., additional, Redekar, N., additional, Jang, M., additional, Andargie, T., additional, Park, W., additional, Brower, R., additional, Alnababteh, M., additional, Shah, P., additional, Aryal, S., additional, Orens, J., additional, Nathan, S., additional, Keller, M., additional, Diamond, J., additional, Cantu, E., additional, Bush, E., additional, and Agbor-Enoh, S., additional

Published
2024
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30. A Molecular Criteria for Antibody Mediated Rejection in Lung Transplant Recipients is Associated with an Increased Risk of the Composite Outcome of CLAD and Death

Author

Keller, M., primary, Alnababteh, M., additional, Ponor, L., additional, Shah, P., additional, Mathew, J., additional, Bower, R., additional, Kong, H., additional, Andargie, T., additional, Park, W., additional, Charya, A., additional, Intrieri, T., additional, Luikart, H., additional, Aryal, S., additional, Nathan, S., additional, Orens, J., additional, Khush, K., additional, Jang, M., additional, and Agbor-Enoh, S., additional

Published
2024
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31. Association of Donor-Derived Cell-Free DNA Levels with the Development of De Novo Donor-Specific Antibodies and Risk of Death in Lung Transplant Recipients

Author

Alnababteh, M., primary, Keller, M., additional, Ponor, L., additional, Shah, P., additional, Kong, H., additional, Mathew, J., additional, Andargie, T., additional, Brower, R., additional, Park, W., additional, Charya, A., additional, Luikart, H., additional, Intrieri, T.A., additional, Aryal, S., additional, Nathan, S., additional, Orens, J., additional, Khush, K., additional, Jang, M., additional, and Agbor-Enoh, S., additional

Published
2024
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32. Cell-Free DNA to Unveil Potential Mechanisms of Racial Disparities in Lung Transplant

Author

Sanders, A.A., primary, Andargie, T., additional, Alnababteh, M., additional, Charya, A., additional, Jang, M., additional, Keller, M., additional, Mathew, J., additional, Aryal, S., additional, Kong, H., additional, Park, W., additional, Brower, R., additional, Berry, G., additional, Marboe, C., additional, Orens, J., additional, Shah, P., additional, Nathan, S., additional, Valantine, H., additional, and Agbor-Enoh, S., additional

Published
2024
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34. Patient-Reported Outcome Measures After Hospitalization During the COVID-19 Pandemic: A Survey Among COVID-19 and Non-COVID-19 Patients

Author

Elkan M, Dvir A, Zaidenstein R, Keller M, Kagansky D, Hochman C, and Koren R

Subjects
covid-19, sars-cov-2, long covid, health-related quality of life, patient-reported outcome measures, Medicine (General), R5-920
Abstract

Matan Elkan,1 Ayana Dvir,2 Ronit Zaidenstein,1,3 Maly Keller,1 Dana Kagansky,1 Chen Hochman,1 Ronit Koren1,3 1Department of Internal Medicine A, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; 2Intensive Care Unit, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel; 3Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, IsraelCorrespondence: Matan ElkanDepartment of Internal Medicine A, Shamir (Assaf Harofeh) Medical Center, Zerifin, 7030000, IsraelTel +972-8-977-9242Fax + 972-8-977-9243Email matanelkan@gmail.comBackground: Many people recovering from COVID-19 suffer from long-term sequelae. The objective of this study was to assess health-related quality of life (HRQoL) in COVID-19 patients several months after discharge.Methods: We conducted a retrospective cross-sectional case–control study on COVID-19 and non-COVID-19 pneumonia patients admitted to Shamir Medical Center, Israel (03– 07/2020). In the months following discharge, patients were invited to participate in a survey and fill the RAND-36 questionnaire. Patients’ characteristics and comorbidities were extracted from electronic charts.Results: Among 66 COVID-19 participants, the median age was 58.5 (IQR 49.8– 68.3), 56.1% were female, and 36.4% were obese. The median length of stay was 7 days (IQR 4– 10). Patient-reported outcome measures were reported at a median follow-up of 9-months (IQR 6– 9). Pain, general health, vitality, and health change had the lowest scores (67.5, 60, 57.5, and 25, respectively). Matching to patients hospitalized with pneumonia due to other pathogens was performed on 42 of the COVID-19 patients. Non-COVID-19 patients were more frequently current or past smokers (50% vs 11.9%, p < 0.01) and suffered more often from chronic lung disease (38.1% vs 9.5%, p = 0.01). The score for health change was significantly lower in the COVID-19 group (25 vs 50, p < 0.01).Conclusion: Post COVID-19 patients continue to suffer from an assortment of symptoms and perceive a deterioration in their health many months after hospitalization. This emphasizes the importance of prolonged medical follow-up in this population, and the need for additional research to better understand this novel disease’s long-term effects.Keywords: COVID-19, SARS-CoV-2, long COVID, health-related quality of life, patient-reported outcome measures

Published
2021

40. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon

Author

Longo, M, Keller, M, dos-Santos, MN, Leitold, V, Pinagé, ER, Baccini, A, Saatchi, S, Nogueira, EM, Batistella, M, and Morton, DC

Subjects
Amazon, biomass, forest degradation, airborne lidar, land use change, fire, Meteorology & Atmospheric Sciences, Atmospheric Sciences, Geochemistry, Oceanography
Abstract

Deforestation rates have declined in the Brazilian Amazon since 2005, yet degradation from logging, fire, and fragmentation has continued in frontier forests. In this study we quantified the aboveground carbon density (ACD) in intact and degraded forests using the largest data set of integrated forest inventory plots (n = 359) and airborne lidar data (18,000 ha) assembled to date for the Brazilian Amazon. We developed statistical models relating inventory ACD estimates to lidar metrics that explained 70% of the variance across forest types. Airborne lidar-ACD estimates for intact forests ranged between 5.0 ± 2.5 and 31.9 ± 10.8 kg C m−2. Degradation carbon losses were large and persistent. Sites that burned multiple times within a decade lost up to 15.0 ± 0.7 kg C m−2 (94%) of ACD. Forests that burned nearly 15 years ago had between 4.1 ± 0.5 and 6.8 ± 0.3 kg C m−2 (22–40%) less ACD than intact forests. Even for low-impact logging disturbances, ACD was between 0.7 ± 0.3 and 4.4 ± 0.4 kg C m−2 (4–21%) lower than unlogged forests. Comparing biomass estimates from airborne lidar to existing biomass maps, we found that regional and pantropical products consistently overestimated ACD in degraded forests, underestimated ACD in intact forests, and showed little sensitivity to fires and logging. Fine-scale heterogeneity in ACD across intact and degraded forests highlights the benefits of airborne lidar for carbon mapping. Differences between airborne lidar and regional biomass maps underscore the need to improve and update biomass estimates for dynamic land use frontiers, to better characterize deforestation and degradation carbon emissions for regional carbon budgets and Reduce Emissions from Deforestation and forest Degradation (REDD+).

Published
2016

41. Amazon forest structure generates diurnal and seasonal variability in light utilization

Author

Morton, DC, Rubio, J, Cook, BD, Gastellu-Etchegorry, JP, Longo, M, Choi, H, Hunter, M, and Keller, M

Subjects
Meteorology & Atmospheric Sciences, Earth Sciences, Environmental Sciences, Biological Sciences
Abstract

The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (IAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80-0.82), light utilization varied seasonally (0.67-0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.

Published
2016

44. Influence of migrant background on patient preference and expectations in breast and gynecological malignancies (NOGGO-expression V study): results of a prospective multicentre study in 606 patients in Germany

Author

Dimitrova, D., Naghavi, B., Richter, R., Nasser, S., Chekerov, R., Braicu, E. I., David, M., Blohmer, J., Inci, G., Torsten, U., Oskay-Özcelik, G., Blau, I., Fersis, N., Holzgreve, A., Keil, E., Keller, M., Keilholz, U., and Sehouli, J.

Published
2021
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50. Seeing the forest beyond the trees

Author

Saatchi, S, Mascaro, J, Xu, L, Keller, M, Yang, Y, Duffy, P, Espírito-Santo, F, Baccini, A, Chambers, J, and Schimel, D

Subjects
Allometry, biomass, lidar, remote sensing, spatial modelling, tree height, tropical forests, wood density, Ecology, Ecological Applications, Physical Geography and Environmental Geoscience
Abstract

In a recent paper (Mitchard etal. 2014, Global Ecology and Biogeography, 23, 935-946) a new map of forest biomass based on a geostatistical model of field data for the Amazon (and surrounding forests) was presented and contrasted with two earlier maps based on remote-sensing data Saatchi etal. (2011; RS1) and Baccini etal. (2012; RS2). Mitchard etal. concluded that both the earlier remote-sensing based maps were incorrect because they did not conform to Mitchard etal. interpretation of the field-based results. In making their case, however, they misrepresented the fundamental nature of primary field and remote-sensing data and committed critical errors in their assumptions about the accuracy of research plots, the interpolation methodology and the statistical analysis. By ignoring the large uncertainty associated with ground estimates of biomass and the significant under-sampling and spatial bias of research plots, Mitchard etal. reported erroneous trends and artificial patterns of biomass over Amazonia. Because of these misrepresentations and methodological flaws, we find their critique of the satellite-derived maps to be invalid.

Published
2015

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