Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/27547
Title: | Correlation methods for the analysis of X-ray polarimetric signals | Authors: | Massaro, E. FABIANI, Sergio CAMPANA, RICCARDO Costa, E. DEL MONTE, Ettore MULERI, FABIO SOFFITTA, PAOLO |
Issue Date: | 2018 | Journal: | NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT | Number: | 885 | First Page: | 7 | Abstract: | X-ray polarimetric measurements are based on studying the distribution of the directions of scattered photons or photoelectrons and on the search of a sinusoidal modulation with a period of π. We developed two tools for investigating these angular distributions based on the correlations between counts in phase bins separated by fixed phase distances. In one case we use the correlation between data separated by half of the bin number (one period) which is expected to give a linear pattern. In the other case, the scatter plot obtained by shifting by 1/8 of the bin number (1/4 of period) transforms the sinusoid in a circular pattern whose radius is equal to the amplitude of the modulation. For unpolarized radiation these plots are reduced to a random point distribution centred at the mean count level. This new methods provide direct visual and simple statistical tools for evaluating the quality of polarization measurements and for estimating the polarization parameters. Furthermore they are useful for investigating distortions due to systematic effects. | URI: | http://hdl.handle.net/20.500.12386/27547 | URL: | https://www.sciencedirect.com/science/article/pii/S0168900217314626?via%3Dihub | ISSN: | 0168-9002 | DOI: | 10.1016/j.nima.2017.12.056 | Bibcode ADS: | 2018NIMPA.885....7M | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1801.01391.pdf | preprint | 1.18 MB | Adobe PDF | View/Open |
48_Massaro_et_al_2018.pdf | [Administrators only] | 1.63 MB | Adobe PDF |
Page view(s)
56
checked on Aug 5, 2024
Download(s)
34
checked on Aug 5, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are published in Open Access, unless otherwise indicated.