Electron Track Reconstruction and Improved Modulation for Photoelectric X-ray Polarimetry
Tenglin Li, Ming Zeng, Hua Feng, Jirong Cang, Hong Li, Heng Zhang, Zhi, Zeng, Jianping Cheng, Hao Ma, Yinong Liu

TL;DR
This paper introduces a novel graph theory-based algorithm for more accurate electron track reconstruction in photoelectric X-ray polarimetry, improving position resolution and modulation at high energies, with potential benefits for low-pressure TPC detectors.
Contribution
A new shortest path algorithm for electron track reconstruction that outperforms previous moment analysis methods, especially for complex tracks at high energies.
Findings
Enhanced position resolution and modulation at high energies.
Algorithm validated with simulations and measurements.
Potential applicability to other polarimetric detectors like TPC.
Abstract
The key to photoelectric X-ray polarimetry is the determination of the emission direction of photoelectrons. Because of the low mass of an electron, the ionisation trajectory is not straight and the useful information needed for polarimetry is stored mostly in the initial part of the track where less energy is deposited. We present a new algorithm, based on the shortest path problem in graph theory, to reconstruct the 2D electron track from the measured image that is blurred due to transversal diffusion along drift and multiplication in the gas chamber. Compared with previous methods based on moment analysis, this algorithm allows us to identify the photoelectric interaction point more accurately and precisely for complicated tracks resulting from high energy photons or low pressure chambers. This leads to a better position resolution and a higher degree of modulation toward high energy…
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