Suchergebnisse - "Computer Programming and Software"

Towards Streamlining Auditing for Compliance With Requirements in Open-Source Software at NASA von Paradis, Carlos, Perez, Ivan, Davies, Misty

“… Context: NASA requires all software to meet several requirements (NPR 7150.2) depending on software criticality. The instantiation of these requirements may …”
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orbitize! v3: Orbit fitting for the High-contrast Imaging Community von Blunt, Sarah, Wang, Jason J, Hirsch, Lea, Tejada, Roberto, Nagpal, Vighnesh, Surti, Tirth Dharmesh, Covarrubias, Sofia, McKenna, Thea, Chávez, Rodrigo Ferrer, Llop-Sayson, Jorge, Arora, Mireya, Chavez, Amanda, Cody, Devin, Choudhary, Saanika, Smith, Adam J R W, Balmer, William, Stolker, Tomas, Gallamore, Hannah, Ó, Clarissa R Do, Nielsen, Eric L, Rosa, Robert J De

“… orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements. It was developed with the …”
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Pypromice: A Python Package for Processing Automated Weather Station Data von How, Penelope R, Wright, Patrick J, Mankoff, Kenneth D, Vandecrux, Baptiste, Fausto, Robert S, Ahlstrøm, Andreas P

“… The pypromice Python package is for processing and handling observation datasets from automated weather stations (AWS). It is primarily aimed at users of AWS …”
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A Systematic Methodology for Modeling and Attitude Control of Multi-body Space Telescopes von Yang, Yaguang, Bentz, William, Lewis, Lia

“… This paper derives a symbolic multi-body rigid nonlinear model for a space telescope using Stoneking’s implementation of Kane’s method. This symbolic nonlinear …”
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Efficient GPU-Accelerated MultiSource Global Fit Pipeline for LISA Data Analysis von Katz, Michael L, Karnesis, Nikolaos, Korsakova, Natalia, Gair, Jonathan, Stergioulas, Nikolaos

“… The large-scale analysis task of deciphering gravitational-wave signals in the LISA data stream will be difficult, requiring a large amount of computational …”
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Machine Learning for the Zwicky Transient Facility von Mahabal, Ashish, Rebbapragada, Umaa, Walters, Richard, Masci, Frank J., Blagorodnova, Nadejda, Roestel, Jan van, Ye, Quan-Zhi, Biswas, Rahul, Burdge, Kevin, Chang, Chan-Kao, Duev, Dmitry A., Golkhou, V. Zach, Miller, Adam A., Nordin, Jakob, Ward, Charlotte, Adams, Scott, Bellm, Eric C., Branton, Doug, Bue, Brian, Cannella, Chris, Connolly, Andrew, Dekany, Richard, Feindt, Ulrich, Hung, Tiara, Fortson, Lucy, Frederick, Sara, Fremling, C., Gezari, Suvi, Graham, Matthew, Groom, Steven, Kasliwal, Mansi M., Kulkarni, Shrinivas, Kupfer, Thomas, Lin, Hsing Wen, Lintott, Chris, Lunnan, Ragnhild, Parejko, John, Prince, Thomas A., Riddle, Reed, Rusholme, Ben, Saunders, Nicholas, Sedaghat, Nima, Shupe, David L., Singer, Leo P., Soumagnac, Maayane T., Szkody, Paula, Tachibana, Yutaro, Tirumala, Kushal, Velzen, Sjoert van, Wright, Darryl

“… The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here …”
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GstLAL: A software framework for gravitational wave discovery von Cannon, Kipp, Caudill, Sarah, Chan, Chiwai, Cousins, Bryce, Creighton, Jolien D.E., Ewing, Becca, Fong, Heather, Godwin, Patrick, Hanna, Chad, Hooper, Shaun, Huxford, Rachael, Magee, Ryan, Meacher, Duncan, Messick, Cody, Morisaki, Soichiro, Mukherjee, Debnandini, Ohta, Hiroaki, Pace, Alexander, Privitera, Stephen, de Ruiter, Iris, Sachdev, Surabhi, Singer, Leo, Singh, Divya, Tapia, Ron, Tsukada, Leo, Tsuna, Daichi, Tsutsui, Takuya, Ueno, Koh, Viets, Aaron, Wade, Leslie, Wade, Madeline

“… The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although …”
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Evaluation of Machine Learning and Deep Learning Algorithms for Fire Prediction in Southeast Asia von Eaturu, Aditya, Vadrevu, Krishna Prasad

“… Vegetation fires are prevalent in South/Southeast Asian countries, making fire prediction crucial due to their potential environmental, economic, and social …”
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An Efficient GPU-Accelerated Multi-Source Global Fit Pipeline for LISA Data Analysis von Katz, Michael L, Karnesis, Nikolaos, Korsakova, Natalia, Gair, Jonathan R, Stergioulas, Nikolaos

“… The large-scale analysis task of deciphering gravitational wave signals in the LISA data stream will be difficult, requiring a large amount of computational …”
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Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke von Li, Lianfa, Girguis, Mariam, Lurmann, Frederick, Pavlovic, Nathan, McClure, Crystal, Franklin, Meredith, Wu, Jun, Oman, Luke D., Breton, Carrie, Gilliland, Frank, Habre, Rima

“… •California has high variability in PM2.5 sources, meteorology and topography.•We used ensemble deep learning with multisource big data to improve PM2.5 …”
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Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast von Bi, Jianzhao, Knowland, K Emma, Keller, Christoph A, Liu, Yang

“… Forecasting ambient PM2.5 concentrations with spatiotemporal coverage is key to alerting decision makers of pollution episodes and preventing detrimental …”
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Similar estimates of temperature impacts on global wheat yield by three independent methods von Supit, Iwan, Ecosystem Services and Management Program ; International Institute for Applied Systems Analysis (IIASA), Computation Institute ; Loyola University of Chicago, Schmid, Erwin, Elliott, Joshua, Department of Agroecology ; Aarhus University [Aarhus], PPS, WSG and CALM ; Wageningen University and Research [Wageningen] (WUR), Wall, Gerard W, USDA-ARS, Arid-Land Agricultural Research Center ; United States Department of Agriculture, Institute of Ecology, German Research Center for Environmental Health ; Helmholtz Zentrum München = German Research Center for Environmental Health (HMGU), Institute of Crop Science and Resource Conservation [Bonn] (INRES) ; Rheinische Friedrich-Wilhelms-Universität Bonn, Wang, Enli, Department of Plant and Soil Sciences ; Mississippi State University [Mississippi], Semenov, Mikhail A, CGIAR-ESSP Program on Climate Change, Agriculture and Food Security ; International Center for Tropical Agriculture, Zhu, Yan, Georg-August-University of Göttingen = Georg-August-Universität Göttingen, Commonwealth Scientific and Industrial Research Organisation [Australia] (CSIRO), W. K. Kellogg Biological Station (KBS) ; Michigan State University [East Lansing] ; Michigan State University System-Michigan State University System, Prasad, P. V. Vara, Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE) ; Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS) ; University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), de Sanctis, Giacomo, White, Jeffrey W, China Agricultural University (CAU), Hunt, Leslie A, Shcherbak, Lurii, US Arid-Land Agricultural Research Center ; United States Department of Agriculture, Nendel, Claas, Pugh, Thomas A. M, Priesack, Eckart, AGroécologie, Innovations, teRritoires (AGIR) ; Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP) ; Université de Toulouse (UT)-Université de Toulouse (UT), Wallach, Daniel, Anothai, Jakarat, Challinor, Andrew J, Fereres, Elias, Stehfest, Elke, Thorburn, Peter J, Institute of Soil Ecology [Neuherberg] (IBOE) ; Helmholtz Zentrum München = German Research Center for Environmental Health (HMGU), Jones, James W, Folberth, Christian, Department of Plant Agriculture ; University of Guelph [Guelf, Ontario, Canada], Lobell, David B, Rötter, Reimund P, Aggarwal, Pramod K, Ewert, Frank, Computational and Systems Biology Department, Rothamsted Research ; Biotechnology and Biological Sciences Research Council (BBSRC), Kimball, Bruce A, Garcia-Vila, Margarita, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) ; Leibniz Association, Génétique Diversité et Ecophysiologie des Céréales (GDEC) ; Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), School of Geography, Earth and Environmental Sciences [Birmingham] ; University of Birmingham [Birmingham], Alderman, Phillip D, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Natural Resources Institute Finland (LUKE), Jabloun, Mohamed, Reynolds, Matthew, O'Leary, Garry, Department of Environmental Earth System Science and Center on Food Security and the Environment ; Stanford University, Environmental Impacts Group ; Natural Resources Institute Finland (LUKE), Martre, Pierre, Department of Geological Sciences ; University of Oregon [Eugene], CGIAR Research Program on Climate Change, Agriculture and Food Security, Borlaug Institute for South Asia, CIMMYT ; Consultative Group on International Agricultural Research (CGIAR), European Commission - Joint Research Centre [Ispra] (JRC), Wolf, Joost, Tao, Fulu, Department of Plant Science, Faculty of Natural Resources ; Prince of Songkla University (PSU), Institute of Soil Science and Land Evaluation ; Universität Hohenheim = University of Hohenheim, Center for Development Research (ZEF) ; Rheinische Friedrich-Wilhelms-Universität Bonn, Kersebaum, Kurt Christian, Cammarano, Davide, Cantabrian Agricultural Research and Training Centre, Palosuo, Taru, Rosenzweig, Cynthia, The School of Plant Sciences ; University of Arizona, Jones, Curtis D, AgWeatherNet Program ; Washington State University (WSU), Stratonovitch, Pierre, Kumar Naresh, Soora, Koehler, Ann-Kristin, Doltra, Jordi, Zhao, Zhigan, The James Hutton Institute, National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production ; Nanjing Agricutural University, Müller, Christoph, Asseng, Senthold, Waha, Katharina, Izaurralde, Roberto C, Potsdam Institute for Climate Impact Research (PIK), Department of Biological Systems Engineering ; University of Wisconsin-Madison, Hoogenboom, Gerrit, Center for Climate Systems Research [New York] (CCSR) ; Columbia University [New York], Basso, Bruno, Stockle, Claudio O, Institute of geographical sciences and natural resources research [CAS] (IGSNRR) ; Chinese Academy of Sciences [Beijing] (CAS), Department of Geography ; University of Liverpool, Liu, Bing, Department of Geographical Sciences ; University of Maryland [College Park] (UMD) ; University System of Maryland-University System of Maryland, Netherlands Environmental Assessment Agency, Deryng, Delphine, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU) ; Karlsruhe Institute of Technology = Karlsruher Institut für Technologie (KIT)

“… The potential impact of global temperature change on global crop yield has recently been assessed with different methods. Here we show that grid-based and …”
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CALIPSO Lidar Level 3 Aerosol Profile Product: Version 3 Algorithm Design von Tackett, Jason L., Winker, David M., Getzewich, Brian J., Vaughan, Mark A., Young, Stuart A., Kar, Jayanta

“… The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) level 3 aerosol profile product reports globally gridded, quality-screened, …”
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The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 von Webb, Mark J., Andrews, Timothy, Bodas-Salcedo, Alejandro, Bony, Sandrine, Bretherton, Christopher S., Chadwick, Robin, Chepfer, Helene, Douville, Herve, Good, Peter, Kay, Jennifer E., Tselioudis, George

“… The primary objective of CFMIP is to inform future assessments of cloud feedbacks through improved understanding of cloud-climate feedback mechanisms and …”
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Impact of climate change on heat-related mortality in Jiangsu Province, China von Chen, Kai, Horton, Radley M., Bader, Daniel A., Lesk, Corey, Jiang, Leiwen, Jones, Bryan, Zhou, Lian, Chen, Xiaodong, Bi, Jun, Kinney, Patrick L.

“… A warming climate is anticipated to increase the future heat-related total mortality in urban areas. However, little evidence has been reported for …”
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Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts von Fan, Haolin, Zhang, Hongji, Ma, Changyu, Wu, Tongzi, Fuh, Jerry Ying Hsi, Li, Bingbing

“… This paper introduces an innovative training system for the Renishaw AM400 metal printer, leveraging the synergy of the advanced Vision Language Model (VLM) …”
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A Sulfur Dioxide Covariance-Based Retrieval Algorithm (COBRA): Application to TROPOMI Reveals New Emission Sources von Theys, Nicolas, Fioletov, Vitali, Li, Can, Smedt, Isabelle De, Lerot, Christophe, Krotkov, Nickolay, Griffin, Debora, Clarisse, Lieven, Hedelt, Pascal, Loyola, Diego, Wagner, Thomas, Kumar, Vinod, Innes, Antje, Ribas, Roberto, Hendrick, François, Vlietinck, Jonas, Brenot, Hugues, Roozendael, Michel Van

“… Sensitive and accurate detection of sulfur dioxide (SO2) from space is important for monitoring and estimating global sulfur emissions. Inspired by detection …”
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Mission Oriented Support and Theory (MOST) for MMS -- The Goddard Space Flight Center/University of California Los Angeles Interdisciplinary Science Program von Goldstein, Melvyn L., Ashour-Abdalla, Maha, F. Vinas, Adolfo, Dorelli, John, Wendel, Deirdre, Klimas, Alex, Hwang, Kyoung-Joo, El-Alaoui, Mostafa, Walker, Raymond J., Pan, Qingjiang, Liang, Haoming

“… The MOST IDS team was tasked with focusing on two general areas: The first was to participate with the Fast Plasma Investigation (FPI) team in the development …”
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Far-field Lorenz–Mie scattering in an absorbing host medium: Theoretical formalism and FORTRAN program von Mishchenko, Michael I., Yang, Ping

“… •We study electromagnetic scattering by spherical particles immersed in an unbounded absorbing medium.•A first-principles approach allows for the calculation …”
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Harmonized Emissions Component (HEMCO) 3.0 as a Versatile Emissions Component for Atmospheric Models: Application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS Models von Lin, Haipeng, Jacob, Daniel J, Lundgren, Elizabeth W, Sulprizio, Melissa P, Keller, Christoph A, Fritz, Thibaud M, Eastham, Sebastian D, Emmons, Louisa K, Campbell, Patrick C, Baker, Barry, Saylor, Rick D, Montuoro, Raffaele

“… Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions …”
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