Search Results - Computer Programming And Software

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

“…Context: NASA requires all software to meet several requirements (NPR 7150.2) depending on software criticality…”
Get full text

orbitize! v3: Orbit fitting for the High-contrast Imaging Community by 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…”
Get full text

GstLAL: A software framework for gravitational wave discovery by 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…”
Get full text

Pypromice: A Python Package for Processing Automated Weather Station Data by 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…”
Get full text

Efficient GPU-Accelerated MultiSource Global Fit Pipeline for LISA Data Analysis by 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…”
Get full text

A Systematic Methodology for Modeling and Attitude Control of Multi-body Space Telescopes by 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…”
Get full text

Machine Learning for the Zwicky Transient Facility by 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…”
Get full text

Evaluation of Machine Learning and Deep Learning Algorithms for Fire Prediction in Southeast Asia by 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…”
Get full text

An Efficient GPU-Accelerated Multi-Source Global Fit Pipeline for LISA Data Analysis by 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…”
Get full text

Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke by 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…”
Get full text

Similar estimates of temperature impacts on global wheat yield by three independent methods by Department of Geography ; University of Liverpool, Jones, James W, US Arid-Land Agricultural Research Center ; United States Department of Agriculture, The James Hutton Institute, Wallach, Daniel, W. K. Kellogg Biological Station (KBS) ; Michigan State University [East Lansing] ; Michigan State University System-Michigan State University System, PPS, WSG and CALM ; Wageningen University and Research [Wageningen] (WUR), Centre for Environment Science and Climate Resilient Agriculture (CESCRA) ; Indian Agricultural Research Institute (IARI), Kersebaum, Kurt Christian, Olesen, Jørgen E, Department of Environmental Earth System Science and Center on Food Security and the Environment ; Stanford University, Department of Plant and Soil Sciences ; Mississippi State University [Mississippi], Center for Climate Systems Research [New York] (CCSR) ; Columbia University [New York], 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), Texas A and M AgriLife Research ; Texas A&M University System, Kimball, Bruce A, School of Geography, Earth and Environmental Sciences [Birmingham] ; University of Birmingham [Birmingham], AgWeatherNet Program ; Washington State University (WSU), Potsdam Institute for Climate Impact Research (PIK), Computation Institute ; Loyola University of Chicago, Jones, Curtis D, Jabloun, Mohamed, Koehler, Ann-Kristin, Semenov, Mikhail A, Martre, Pierre, Commonwealth Scientific and Industrial Research Organisation [Australia] (CSIRO), Rötter, Reimund P, Asseng, Senthold, Shcherbak, Lurii, Deryng, Delphine, Streck, Thilo, Müller, Christoph, Institute of Crop Science and Resource Conservation [Bonn] (INRES) ; Rheinische Friedrich-Wilhelms-Universität Bonn, Zhao, Zhigan, Stehfest, Elke, Priesack, Eckart, Wolf, Joost, Kumar Naresh, Soora, Stockle, Claudio O, Zhu, Yan, Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] (BOKU), Computational and Systems Biology Department, Rothamsted Research ; Biotechnology and Biological Sciences Research Council (BBSRC), Biernath, Christian, Ruane, Alex C, Department of Plant Science, Faculty of Natural Resources ; Prince of Songkla University (PSU), CGIAR-ESSP Program on Climate Change, Agriculture and Food Security ; International Center for Tropical Agriculture, Department of Agronomy ; Purdue University [West Lafayette], Waha, Katharina, Hunt, Leslie A, Hoogenboom, Gerrit, European Commission - Joint Research Centre [Ispra] (JRC), NASA Goddard Institute for Space Studies (GISS) ; NASA Goddard Space Flight Center (GSFC), Challinor, Andrew J, Department of Geographical Sciences ; University of Maryland [College Park] (UMD) ; University System of Maryland-University System of Maryland, National High-Tech Research and Development Program of China (2013AA100404); the National Natural Science Foundation of China (31271616, 31611130182, 41571088 and 31561143003); the National Research Foundation for the Doctoral Program of Higher Education of China ; the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD); China Scholarship Council.; IFPRI through the Global Futures and Strategic Foresight project; the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS); the CGIAR Research Program on Wheat; the Agricultural Model Intercomparison and Improvement Project (AgMIP), Doltra, Jordi, O'Leary, Garry, Izaurralde, Roberto C, Wall, Gerard W, Schmid, Erwin, International Maize and Wheat Improvement Center (CIMMYT) ; Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Aggarwal, Pramod K, Wang, Enli, Georg-August-University of Göttingen = Georg-August-Universität Göttingen, Basso, Bruno, Cammarano, Davide, Supit, Iwan, The School of Plant Sciences ; University of Arizona, Elliott, Joshua, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU) ; Karlsruhe Institute of Technology = Karlsruher Institut für Technologie (KIT), Birmingham Institute of Forest Research (BIFoR) ; University of Birmingham [Birmingham], Institute of geographical sciences and natural resources research [CAS] (IGSNRR) ; Chinese Academy of Sciences [Beijing] (CAS), Tao, Fulu, Nendel, Claas, Génétique Diversité et Ecophysiologie des Céréales (GDEC) ; Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Center for Development Research (ZEF) ; Rheinische Friedrich-Wilhelms-Universität Bonn, Landscape & Water Sciences ; Department of Environment of Victoria, Institute for Climate and Atmospheric Science [Leeds] (ICAS) ; School of Earth and Environment [Leeds] (SEE) ; University of Leeds-University of Leeds, Department of Geological Sciences ; University of Oregon [Eugene], Institute of Soil Ecology [Neuherberg] (IBOE) ; Helmholtz Zentrum München = German Research Center for Environmental Health (HMGU), Fereres, Elias, Reynolds, Matthew, Ewert, Frank, Department of Biological Systems Engineering ; University of Wisconsin-Madison, Department of Agroecology ; Aarhus University [Aarhus], Thorburn, Peter J, Cantabrian Agricultural Research and Training Centre, Department of Plant Agriculture ; University of Guelph [Guelf, Ontario, Canada], Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) ; Leibniz Association, Gayler, Sebastian, Rezaei, Ehsan Eyshi, Netherlands Environmental Assessment Agency, White, Jeffrey W, Palosuo, Taru, Institute of Ecology, German Research Center for Environmental Health ; Helmholtz Zentrum München = German Research Center for Environmental Health (HMGU), Alderman, Phillip D, Folberth, Christian, Stratonovitch, Pierre, Prasad, P. V. Vara, Ottman, Michael J

“…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…”
Get full text

The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 by 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…”
Get full text

CALIPSO Lidar Level 3 Aerosol Profile Product: Version 3 Algorithm Design by 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,…”
Get full text

Unifying radiative transfer models in computer graphics and remote sensing, Part I: A Survey by Salesin, Katherine, Knobelspiesse, Kirk D, Chowdhary, Jacek, Zhai, Peng-Wang, Jarosz, Wojciech

“… We propose looking to the computer graphics community for inspiration to improve the statistical efficiency of Monte Carlo…”
Get full text

Snakes on a Spaceship - An Overview of Python in Heliophysics by Burrell, A.G., Halford, A., Klenzing, J., Stoneback, R. A., Morley, S. K., Annex, A. M., Laundal, K. M., Kellerman, A. C., Stansby, D., Ma, J.

“…Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged…”
Get full text

Building a landslide hazard indicator with machine learning and land surface models by Stanley, T.A., Kirschbaum, D.B., Sobieszczyk, S., Jasinski, M.F., Borak, J.S., Slaughter, S.L.

“…The U.S. Pacific Northwest has a history of frequent and occasionally deadly landslides caused by various factors. Using a multivariate, machine-learning…”
Get full text

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 by 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

“…) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms…”
Get full text

The DIARieS ecosystem – A software ecosystem to simplify discovery, implementation, analysis, reproducibility, and sharing of scientific results and environments in Heliophysics by Ringuette, Rebecca, Engell, Alec, Gerland, Oliver, McGranaghan, Ryan M., Thompson, Barbara

“… Developing an online discovery and analysis software ecosystem will close several of these gaps…”
Get full text

A Sulfur Dioxide Covariance-Based Retrieval Algorithm (COBRA): Application to TROPOMI Reveals New Emission Sources by 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…”
Get full text

Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts by 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)…”
Get full text