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Item Details
| Title:
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CROSS-CALIBRATION OF FAR UV SPECTRA OF SOLAR SYSTEM OBJECTS AND THE HELIOSPHERE
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| By: |
Eric Quemerais (Editor), Martin Snow (Editor), Roger Maurice Bonnet (Editor) |
| Format: |
Hardback |
| List price:
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£109.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1461463831 |
| ISBN 13: |
9781461463832 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
21 March, 2013 |
| Edition: |
2013 ed. |
| Series: |
ISSI Scientific Report Series 13 |
| Pages: |
275 |
| Description: |
This book discusses various fields of Far UV spectroscopy, ranging from a catalog of stellar spectra to detailed modeling and measurements of the interplanetary background. It presents various types of data sets and different techniques for calibration. |
| Synopsis: |
This book is the result of a working group sponsored by ISSI in Bern, which was initially created to study possible ways to calibrate a Far Ultraviolet (FUV) instrument after launch. In most cases, ultraviolet instruments are well calibrated on the ground, but unfortunately, optics and detectors in the FUV are very sensitive to contaminants and it is very challenging to prevent contamination before and during the test and launch sequences of a space mission. Therefore, ground calibrations need to be confirmed after launch and it is necessary to keep track of the temporal evolution of the sensitivity of the instrument during the mission. The studies presented here cover various fields of FUV spectroscopy, including a catalog of stellar spectra, datasets of Moon Irradiance, observations of comets and measurements of the interplanetary background. Detailed modelling of the interplanetary background is presented as well. This work also includes comparisons of older datasets with current ones. This raises the question of the consistency of the existing datasets. Previous experiments have been calibrated independently and comparison of the datasets may lead to inconsistencies. The authors have tried to check that possibility in the datasets and when relevant suggest a correction factor for the corresponding data. |
| Illustrations: |
13 Tables, black and white; VII, 275 p. 129 illus., 96 illus. in color. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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