Modeling and Reproducibility of Suzaku HXD PIN/GSO Background
Yasushi Fukazawa, Tsunefumi Mizuno, Shin Watanabe, Motohide Kokubun,, Hiromitsu Takahashi, Naomi Kawano, Sho Nishino, Mahito Sasada, Hirohisa, Shirai, Takuya Takahashi, Tomonori Yamasaki, Tomonori Yasuda, Aya Bamba,, Masanori Ohno, Tadayuki Takahashi, Masayoshi Ushio

TL;DR
This paper presents a detailed model of the Suzaku HXD background, demonstrating high reproducibility and low systematic errors, which enhances the sensitivity of hard X-ray observations despite the lack of imaging capability.
Contribution
The study develops a comprehensive background model for Suzaku HXD that accounts for temporal variations, improving reproducibility and reducing systematic errors in background estimation.
Findings
Background model achieves less than 3% systematic error for PIN in 10 ksec exposures.
Model reproduces GSO background with less than 1% systematic error.
Reproducibility depends on event selection criteria and integration time.
Abstract
Suzaku Hard X-ray Detector (HXD) achieved the lowest background level than any other previously or currently operational missions sensitive in the energy range of 10--600 keV, by utilizing PIN photodiodes and GSO scintillators mounted in the BGO active shields to reject particle background and Compton-scattered events as much as possible. Because it does not have imaging capability nor rocking mode for the background monitor, the sensitivity is limited by the reproducibility of the non X-ray background (NXB) model. We modeled the HXD NXB, which varies with time as well as other satellites with a low-earth orbit, by utilizing several parameters, including particle monitor counts and satellite orbital/attitude information. The model background is supplied as an event file in which the background events are generated by random numbers, and can be analyzed in the same way as the real data.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMethane Hydrates and Related Phenomena · Atmospheric and Environmental Gas Dynamics · Geophysics and Gravity Measurements
