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  5. A Weighted Analysis to Improve the X-Ray Polarization Sensitivity of the Imaging X-ray Polarimetry Explorer
 

A Weighted Analysis to Improve the X-Ray Polarization Sensitivity of the Imaging X-ray Polarimetry Explorer

Journal
THE ASTRONOMICAL JOURNAL  
Date Issued
2022
Author(s)
DI MARCO, Alessandro  
•
COSTA, ENRICO  
•
MULERI, FABIO  
•
SOFFITTA, PAOLO  
•
FABIANI, Sergio  
•
LA MONACA, Fabio  
•
RANKIN, JOHN  
•
XIE, FEI  
•
BACHETTI, Matteo  
•
Baldini, Luca
•
Baumgartner, Wayne
•
Bellazzini, Ronaldo
•
Brez, Alessandro
•
Castellano, Simone
•
DEL MONTE, Ettore  
•
Di Lalla, Niccolò
•
FERRAZZOLI, RICCARDO  
•
Latronico, Luca
•
Maldera, Simone
•
Manfreda, Alberto
•
O'Dell, Stephen L.
•
PERRI, Matteo  
•
Pesce-Rollins, Melissa
•
Puccetti, Simonetta
•
Ramsey, Brian D.
•
RATHEESH, AJAY  
•
Sgrò, Carmelo
•
Spandre, Gloria
•
Tennant, Allyn F.
•
TOBIA, ANTONINO  
•
TROIS, ALESSIO  
•
Weisskopf, Martin C.
DOI
10.3847/1538-3881/ac51c9
Abstract
Imaging X-ray Polarimetry Explorer (IXPE) is a Small Explorer mission that was launched at the end of 2021 to measure the polarization of X-ray emission from tens of astronomical sources. Its focal-plane detectors are based on the Gas Pixel Detector, which measures the polarization by imaging photoelectron tracks in a gas mixture and reconstructing their initial directions. The quality of the single track, and then the capability of correctly determining the original direction of the photoelectron, depends on many factors, e.g., whether the photoelectron is emitted at low or high inclination with respect to the collection plane or the occurrence of a large Coulomb scattering close to the generation point. The reconstruction algorithm used by IXPE to obtain the photoelectron emission direction also calculates several properties of the shape of the tracks that characterize the process. In this paper we compare several such properties and identify the best one to weight each track on the basis of the reconstruction accuracy. We demonstrate that significant improvement in sensitivity can be achieved with this approach and for this reason it will be the baseline for IXPE data analysis.
Volume
163
Issue
4
Start page
170
Uri
http://hdl.handle.net/20.500.12386/32114
Url
https://api.elsevier.com/content/abstract/scopus_id/85126711185
https://iopscience.iop.org/article/10.3847/1538-3881/ac51c9
Issn Identifier
0004-6256
Rights
open.access
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