Correlation methods for the analysis of X-ray polarimetric signals
| Autor: | Sergio Fabiani, Enrico Massaro, Enrico Costa, E. Del Monte, Fabio Muleri, Riccardo Campana, Paolo Soffitta |
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| Přispěvatelé: | ITA |
| Rok vydání: | 2018 |
| Předmět: |
Physics
Nuclear and High Energy Physics Photon Polarimetry FOS: Physical sciences Polarization (waves) 01 natural sciences Bin Computational physics 010309 optics symbols.namesake Amplitude Point distribution model Scatter plot 0103 physical sciences symbols Stokes parameters Astrophysics - Instrumentation and Methods for Astrophysics 010303 astronomy & astrophysics Instrumentation Instrumentation and Methods for Astrophysics (astro-ph.IM) |
| DOI: | 10.48550/arxiv.1801.01391 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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