Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por Lap Lambert Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 124 pages. 8.70x5.94x0.47 inches. In Stock.
Idioma: Inglés
Publicado por Lap Lambert Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: Revaluation Books, Exeter, Reino Unido
EUR 133,60
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Añadir al carritoPaperback. Condición: Brand New. 124 pages. 8.70x5.94x0.47 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Monte Carlo library least-squares (MCLLS) approach essentially consists of using Monte Carlo simulation to generate the libraries of all the elements to be analyzed plus any other required background libraries. These libraries are then used in the linear library least-squares (LLS) approach with unknown measured spectra to analyze for all elements in the sample. Iterations of this are used until the LLS values gives satisfactory results. The integrated components include: (1) the Monte Carlo codes such as CEARXRF for forward generation of the necessary elemental library spectra for the LLS calculation for X-ray fluorescence; (2) generation of detector response functions (DRF) for detectors with linear and non-linear responses for Monte Carlo simulation of pulse-height spectra; and (3) the use of the differential operator (DO) technique to make the necessary iterations for non-linear responses practical. In addition, coincidence spectra can also be used in the MCLLS approach and may provide more accurate results. The author of this book provides the answers to the above problems and a graphical user interface program to accomplish the tasks. 124 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: moluna, Greven, Alemania
EUR 48,50
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li FushengFusheng Li is a Scientist at Baker Hughes Inc, Houston TX. Dr. Li earned his Ph.D. in Nuclear Engineering from North Carolina State University, where his main research involved with Monte Carlo Computer Simulation and En.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: Majestic Books, Hounslow, Reino Unido
EUR 95,82
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 95,89
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 59,00
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Monte Carlo library least-squares (MCLLS) approach essentially consists of using Monte Carlo simulation to generate the libraries of all the elements to be analyzed plus any other required background libraries. These libraries are then used in the linear library least-squares (LLS) approach with unknown measured spectra to analyze for all elements in the sample. Iterations of this are used until the LLS values gives satisfactory results. The integrated components include: (1) the Monte Carlo codes such as CEARXRF for forward generation of the necessary elemental library spectra for the LLS calculation for X-ray fluorescence; (2) generation of detector response functions (DRF) for detectors with linear and non-linear responses for Monte Carlo simulation of pulse-height spectra; and (3) the use of the differential operator (DO) technique to make the necessary iterations for non-linear responses practical. In addition, coincidence spectra can also be used in the MCLLS approach and may provide more accurate results. The author of this book provides the answers to the above problems and a graphical user interface program to accomplish the tasks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838328159 ISBN 13: 9783838328157
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 59,71
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Monte Carlo library least-squares (MCLLS) approach essentially consists of using Monte Carlo simulation to generate the libraries of all the elements to be analyzed plus any other required background libraries. These libraries are then used in the linear library least-squares (LLS) approach with unknown measured spectra to analyze for all elements in the sample. Iterations of this are used until the LLS values gives satisfactory results. The integrated components include: (1) the Monte Carlo codes such as CEARXRF for forward generation of the necessary elemental library spectra for the LLS calculation for X-ray fluorescence; (2) generation of detector response functions (DRF) for detectors with linear and non-linear responses for Monte Carlo simulation of pulse-height spectra; and (3) the use of the differential operator (DO) technique to make the necessary iterations for non-linear responses practical. In addition, coincidence spectra can also be used in the MCLLS approach and may provide more accurate results. The author of this book provides the answers to the above problems and a graphical user interface program to accomplish the tasks.