Academic literature on the topic 'PLANCK Data'
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Journal articles on the topic "PLANCK Data"
Cai, Rong-Gen, Zong-Kuan Guo, and Bo Tang. "Updated reduced CMB data and constraints on cosmological parameters." International Journal of Modern Physics D 24, no. 10 (August 12, 2015): 1550071. http://dx.doi.org/10.1142/s0218271815500716.
Full textMangilli, Anna. "From data to science: Planck data and the CMB non-Gaussianity." Proceedings of the International Astronomical Union 10, S306 (May 2014): 131–34. http://dx.doi.org/10.1017/s1743921314013465.
Full textPartridge, Bruce. "Planck on Extragalactic Radio Sources: Data and Findings." Proceedings of the International Astronomical Union 11, A29B (August 2015): 51–53. http://dx.doi.org/10.1017/s174392131600449x.
Full textStreblyanska, A., R. Barrena, J. A. Rubiño-Martín, R. F. J. van der Burg, N. Aghanim, A. Aguado-Barahona, A. Ferragamo, and H. Lietzen. "Characterization of a subsample of the Planck SZ source cluster catalogues using optical SDSS DR12 data." Astronomy & Astrophysics 617 (September 2018): A71. http://dx.doi.org/10.1051/0004-6361/201732306.
Full textCsáki, Csaba, Nemanja Kaloper, and John Terning. "Planck data and ultralight axions." Journal of Cosmology and Astroparticle Physics 2015, no. 06 (June 23, 2015): 041. http://dx.doi.org/10.1088/1475-7516/2015/06/041.
Full textPagano, L., J. M. Delouis, S. Mottet, J. L. Puget, and L. Vibert. "Reionization optical depth determination from Planck HFI data with ten percent accuracy." Astronomy & Astrophysics 635 (March 2020): A99. http://dx.doi.org/10.1051/0004-6361/201936630.
Full textRuiz-Granda, M., and P. Vielva. "Constraining CMB physical processes using Planck 2018 data." Journal of Cosmology and Astroparticle Physics 2022, no. 11 (November 1, 2022): 043. http://dx.doi.org/10.1088/1475-7516/2022/11/043.
Full textMaris, Michele, Erik Romelli, Maurizio Tomasi, Anna Gregorio, Maura Sandri, Samuele Galeotta, Daniele Tavagnacco, Marco Frailis, Gianmarco Maggio, and Andrea Zacchei. "Revised planet brightness temperatures using the Planck/LFI 2018 data release." Astronomy & Astrophysics 647 (March 2021): A104. http://dx.doi.org/10.1051/0004-6361/202037788.
Full textNunes, Rafael C., Santosh K. Yadav, J. F. Jesus, and Armando Bernui. "Cosmological parameter analyses using transversal BAO data." Monthly Notices of the Royal Astronomical Society 497, no. 2 (July 11, 2020): 2133–41. http://dx.doi.org/10.1093/mnras/staa2036.
Full textDavidson, Aharon. "Holographic shell model: Stack data structure inside black holes?" International Journal of Modern Physics D 23, no. 05 (April 30, 2014): 1450041. http://dx.doi.org/10.1142/s0218271814500412.
Full textDissertations / Theses on the topic "PLANCK Data"
Zonca, Andrea. "Advanced modelling and combined data analysis of planck focal plane instruments." Paris 7, 2008. http://www.theses.fr/2008PA077169.
Full textThe main topic of my PhD work is the software modelling of the Low Frequency Instrument (LFI) radiometers. The LFI is one of the two instruments on-board the European Space Agency Planck Mission for high precision measurements of the anisotropies of the Cosmic Microwave Background (CMB). The software model relies on measured frequency response of the LFI radiometers components and on an analytical waveguide simu in order to simulate the LFI bandpasses channel by channel. Its implementation is based on QUCS, an open-source circuit Simulator. Modelled bandpasses showed good consistency with the measured performance and suffered less systematic effects, they are therefore the best estimate available for the radiometers frequency response. Thanks to the collaboration with Jean-Michel Lamarre, HFI Instrument Scientist, the bolometric instrument on-board Planck, the focus my activity was broadened and included the study of cross-correlation between HFI and LFI data, on two main aspects: The computation of the thermal transfer functions of the stage at 4K during tests and from simulations. The 4K stage is a key element the HFI cryogenic chain and it is used as a stable reference load by LFI. The design of quick look analysis sessions exploiting both instruments scientific and housekeeping data in order to identify systematic effects. Sessions relies on the data visualization software KST and consist of a set of already implemented and tested basic sessions allowing for example to produce spectra and cross-correlations, and a set of advanced sessions, dedicated on the study of a specific aspect, for example the correlation between LFI 70 GHz and HFI 100 GHz channels
Zonca, A. "Advanced modelling and combined data analysis of Planck focal plane instruments." Doctoral thesis, Università degli Studi di Milano, 2009. http://hdl.handle.net/2434/64581.
Full textCrawford, T. M., R. Chown, G. P. Holder, K. A. Aird, B. A. Benson, L. E. Bleem, J. E. Carlstrom, et al. "MAPS OF THE MAGELLANIC CLOUDS FROM COMBINED SOUTH POLE TELESCOPE AND PLANCK DATA." IOP PUBLISHING LTD, 2016. http://hdl.handle.net/10150/622699.
Full textAlina, Dana. "Analysis of the interstellar dust polarized emission with the Planck Satellite Survey data." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30032.
Full textThis thesis is dedicated to the study of Galactic dust polarization and is mostly based on the analysis of the Planck satellite data. First, we characterize the bias on polarization parameters which are derived from the measurements. We have evidenced that it depends not only on the noise level but also on the noise correlation between the Stokes parameters. We have developed optimized methods to estimate the polarization fraction, angle and angle dispersion function, that take into account the shape of the noise covariance matrices. The peculiarity of the bias on the polarization angle dispersion function is shown for the first time, and a method for the evaluation of the upper limit on the bias is proposed and applied to the Planck 353 GHz data. We study the correlation between the polarization fraction and the polarization angle dispersion function, and also the correlation between the polarization fraction and the gas column density, over large fractions of the sky. As a result, we show that the three-dimensional structure of the magnetic field highly affects the observed polarization fraction. When the magnetic field direction changes along the line of sight or within the telescope beam, the observed polarization decreases. We observe a similar dependance of the polarization fraction with the magnetic field geometry in MHD (magnetohydrodynamics) simulations. We have evidenced the systematic decrease of the polarization fraction with column density, previously observed only in dense molecular clouds, to be general also at large scales and in the diffuse ISM. In combination with the results from MHD simulations, where a similar behavior is observed, this observational fact indicates that the decrease in the polarization fraction is mostly due to the magnetic field tangling along the line of sight. We derive for the first time the lower limit of the maximum polarization fraction observed with Planck, which could correspond to the dust intrinsic polarization fraction when the field geometry is most favorable. In addition, comparing polarization in emission with Planck and in extinction from stars observations, we find a high sub-millimeter to visible polarization fraction ratio, which will be a strong constraint for future dust models. Finally, we have performed a preliminary study on the polarization properties of Galactic cold clumps detected with Planck. This statistical analysis allows us to confirm the existence of a significant drop of the polarization fraction in the clumps, relatively to the local large scale environment. We discuss its origin in terms of efficiency loss of grain alignment in these dense clumps
Paci, Francesco <1980>. "Gravitational waves and cosmic microwave anisotropies: from theory to data analysis for Planck." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1859/1/paci_francesco_tesi.pdf.
Full textPaci, Francesco <1980>. "Gravitational waves and cosmic microwave anisotropies: from theory to data analysis for Planck." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1859/.
Full textOmori, Y., R. Chown, G. Simard, K. T. Story, K. Aylor, E. J. Baxter, B. A. Benson, et al. "A 2500 deg2 CMB Lensing Map from Combined South Pole Telescope and Planck Data." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/626179.
Full textHou, Z., K. Aylor, B. A. Benson, L. E. Bleem, J. E. Carlstrom, C. L. Chang, H.-M. Cho, et al. "A Comparison of Maps and Power Spectra Determined from South Pole Telescope and Planck Data." IOP PUBLISHING LTD, 2018. http://hdl.handle.net/10150/626533.
Full textKirk, D., Y. Omori, A. Benoit-Lévy, R. Cawthon, C. Chang, P. Larsen, A. Amara, et al. "Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing." OXFORD UNIV PRESS, 2016. http://hdl.handle.net/10150/614994.
Full textHankeln, Wolfgang Matthias [Verfasser]. "Data integration in microbial genomics Contextualizing sequence data in aid of biological knowledge / Wolfgang Matthias Hankeln. Max Planck Institute for Marine Microbiology." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2012. http://d-nb.info/1035209020/34.
Full textBooks on the topic "PLANCK Data"
EDV-Benutzertreffen, Max-Planck-Gesellschaft zur Förderung der Wissenschaften. Forschung und wissenschaftliches Rechnen: Beiträge anässlich des 10. EDV-Benutzertreffens der Max-Planck-Gesellschaft in Göttingen, November 1993. München: Die Gesellschaft, 1993.
Find full textInternational Summer School on Crystallographic Computing (1984 Mülheim an der Ruhr). Crystallographic computing 3: Data collection, structure determination, proteins and databases : papers presented at the International Summer School on Crystallographic Computing held at the Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr FRG, 30 July-8 August 1984. Oxford: Clarendon, 1985.
Find full textJ, Maarse F., Kontaktgroep voor Instrumentatie in de Psychologie (Netherlands), and Max Planck Institut für Psycholinguistik (Nijmegen, Netherlands), eds. Computers in de psychologie: Verslag van een workshop van de Kontaktgroep voor Instrumentatie in de Psychologie (KIP) op 17 en 18 mei 1984 in het Max Planck Institut für Psychologie te Nijmegen. Lisse: Swets & Zeitlinger, 1985.
Find full textP, Nayar M., Sastry, A. R. K. 1938-, and Botanical Survey of India, eds. Red data book of Indian plants. Calcutta: Botanical Survey of India, 1987.
Find full textHilton-Taylor, Craig. Red data list of southern African plants. Edited by Leistner O. A. Pretoria: National Botanical Institute, 1996.
Find full textSalar, Khan M., Rahman M. Matiur, Ali M. Arshad, Bangladesh National Herbarium, and Bāṃlādeśa Kr̥shi Gabeshaṇā Kāunsila, eds. Red data book of vascular plants of Bangladesh. Dhaka: Bangladesh National Herbarium, 2001.
Find full textPlanar graph drawing. Singapore: World Scientific, 2005.
Find full textNature Protection Trust of Seychelles. Scientific Committee. Seychelles red data book, 1997. Edited by Gerlach Justin. Victoria, Mahe, Seychelles: Nature Protection Trust of Seychelles, 1997.
Find full textAbd El Ghani, Monier M. and Fahmy Ahmed G, eds. The plant red data book of Egypt. Cairo: Palm Press, 1992.
Find full textIntersection and decomposition algorithms for planar arrangements. Cambridge: Cambridge University Press, 1991.
Find full textBook chapters on the topic "PLANCK Data"
Lang, Kenneth R. "Planet Earth." In Astrophysical Data, 29–40. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-0640-5_2.
Full textMax, Nelson, Peter Williams, and Claudio Silva. "Cell Projection of Meshes with Non-Planar Faces." In Data Visualization, 157–68. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9_11.
Full textSrivastava, Anuj, and Eric P. Klassen. "Shapes of Planar Curves." In Functional and Shape Data Analysis, 125–65. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_5.
Full textAkhtar, Mohd Sayeed, Mallappa Kumara Swamy, Ibrahim A. Alaraidh, and Jitendra Panwar. "Genomic Data Resources and Data Mining." In Plant Bioinformatics, 267–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67156-7_10.
Full textSrivastava, Anuj, and Eric P. Klassen. "Shapes of Planar Closed Curves." In Functional and Shape Data Analysis, 167–231. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_6.
Full textSrivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Planar Shapes." In Functional and Shape Data Analysis, 305–47. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_9.
Full textFait, Aaron, and Alisdair R. Fernie. "Data Integration." In Plant Metabolic Networks, 151–71. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-78745-9_6.
Full textPearcy, Robert W. "Field data acquisition." In Plant Physiological Ecology, 15–27. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-9013-1_2.
Full textPearcy, Robert W. "Field data acquisition." In Plant Physiological Ecology, 15–27. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2221-1_2.
Full textMu, Xuelan, Zhixin Hou, and Yigong Zhang. "Egomotion Estimation Under Planar Motion with an RGB-D Camera." In Intelligence Science and Big Data Engineering. Visual Data Engineering, 68–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36189-1_6.
Full textConference papers on the topic "PLANCK Data"
Pasian, Fabio, and Jean-Franois Sygnet. "Planck data processing centers." In Astronomical Telescopes and Instrumentation. SPIE, 2002. http://dx.doi.org/10.1117/12.461140.
Full textSébastien, Clesse. "Analysis of the Planck data." In 10th Modave Summer School in Mathematical Physics. Trieste, Italy: Sissa Medialab, 2015. http://dx.doi.org/10.22323/1.232.0003.
Full text"Cosmological constraints on neutrinos with Planck data." In XXVI INTERNATIONAL CONFERENCE ON NEUTRINO PHYSICS AND ASTROPHYSICS: Neutrino 2014. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915585.
Full textGUBITOSI, GIULIA. "PLANCK-SCALE INDUCED BIREFRINGENCE AND CMB POLARIZATION DATA." In Proceedings of the MG12 Meeting on General Relativity. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814374552_0497.
Full textZhou, Yixue. "Photoelectric effect, Planck constant, and MATLAB data processing." In Third International Conference on Optics and Image Processing (ICOIP 2023), edited by Bingxiang Li and Chao Ren. SPIE, 2023. http://dx.doi.org/10.1117/12.2689113.
Full textSchmidt, Micha, and Ed Chester. "Herschel/Planck Data Flow - Design Challenges and Operational Solutions." In SpaceOps 2006 Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-5749.
Full textTomasi, Maurizio, Paola Battaglia, Marco Bersanelli, Francesco Cuttaia, Cristian Franceschet, Marco Lapolla, Rodrigo Leonardi, et al. "Data analysis of the Planck/LFI ground-test campaign." In SPIE Astronomical Telescopes + Instrumentation, edited by Jonas Zmuidzinas, Wayne S. Holland, Stafford Withington, and William D. Duncan. SPIE, 2006. http://dx.doi.org/10.1117/12.671522.
Full textRamazanov, Sabir. "Probing primordial statistical anisotropy with WMAP and Planck data." In Frontiers of Fundamental Physics 14. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.224.0093.
Full textFrailis, M., A. Zacchei, M. Maris, N. Morisset, R. Rohlfs, M. Meharga, P. Binko, et al. "The Planck/LFI data processing: real-time analysis, data management and scientific workflows." In Proceedings of the 11th Conference. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814307529_0114.
Full textDi Girolamo, Gianpiero, Daniel Werner, Eduardo Valido Cabrera, Mariella Spada, and John Dodsworth. "Herschel-Planck Mission Data System: A Remarkable Collection of Challenges." In SpaceOps 2010 Conference: Delivering on the Dream (Hosted by NASA Marshall Space Flight Center and Organized by AIAA). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-2087.
Full textReports on the topic "PLANCK Data"
Fluhr, Robert, and Volker Brendel. Harnessing the genetic diversity engendered by alternative gene splicing. United States Department of Agriculture, December 2005. http://dx.doi.org/10.32747/2005.7696517.bard.
Full textWright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, March 2020. http://dx.doi.org/10.15760/mem.64.
Full textMorin, Shai, Gregory Walker, Linda Walling, and Asaph Aharoni. Identifying Arabidopsis thaliana Defense Genes to Phloem-feeding Insects. United States Department of Agriculture, February 2013. http://dx.doi.org/10.32747/2013.7699836.bard.
Full textBishop, Bradley Wade. Data from Data Management Plan Compliance. University of Tennessee, Knoxville Libraries, January 2020. http://dx.doi.org/10.7290/pebuwhcq7l.
Full textSimmons, Trey. Data quality standards for monitoring stream ecosystems in the Central Alaska Network. National Park Service, 2017. http://dx.doi.org/10.36967/2244207.
Full textRon, Eliora, and Eugene Eugene Nester. Global functional genomics of plant cell transformation by agrobacterium. United States Department of Agriculture, March 2009. http://dx.doi.org/10.32747/2009.7695860.bard.
Full textGarcía-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.
Full textPaglialonga, Lisa, and Carsten Schirnick. Data management plan. OceanNETs, June 2022. http://dx.doi.org/10.3289/oceannets_d8.1.
Full textPapke, Leslie. Participation in and Contributions to 401(k) Pension Plans: Evidence om Plan Data. Cambridge, MA: National Bureau of Economic Research, October 1992. http://dx.doi.org/10.3386/w4199.
Full textFan, Jianhua, Zhiyong Tian, Simon Furbo, Weiqiang Kong, and Daniel Tschopp. Simulation and design of collector array units within large systems. IEA SHC Task 55, October 2019. http://dx.doi.org/10.18777/ieashc-task55-2019-0004.
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