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Monte Carlo Simulator and Ancillary Response Generator of Suzaku XRT/XIS System for Spatially Extended Source Analysis

2007; Oxford University Press; Volume: 59; Issue: sp1 Linguagem: Inglês

10.1093/pasj/59.sp1.s113

2053-051X

Yoshitaka Ishisaki, Yoshitomo Maeda, Ryuichi Fujimoto, Masanobu Ozaki, K. Ebisawa, Tadayuki Takahashi, Y. Ueda, Yasushi Ogasaka, A. Ptak, K. Mukai, Kenji Hamaguchi, M. Hirayama, Taro Kotani, H. Kubo, Ryo Shibata, Masatoshi Ebara, Akihiro Furuzawa, Ryo Iizuka, H. Inoue, Hideyuki Mori, Shunsaku Okada, Yushi Yokoyama, Hironori Matsumoto, Hiroshi Nakajima, Hiroya Yamaguchi, Naohisa Anabuki, Noriaki Tawa, Masaaki Nagai, Satoru Katsuda, Kiyoshi Hayashida, Aya Bamba, Eric D. Miller, Kosuke Sato, Noriko Y. Yamasaki,

Calibration and Measurement Techniques

We have developed a framework for the Monte-Carlo simulation of the X-Ray Telescopes (XRT) and the X-ray Imaging Spectrometers (XIS) onboard Suzaku, mainly for the scientific analysis of spatially and spectroscopically complex celestial sources. A photon-by-photon instrumental simulator is built on the ANL platform, which has been successfully used in ASCA data analysis. The simulator has a modular structure, in which the XRT simulation is based on a ray-tracing library, while the XIS simulation utilizes a spectral "Redistribution Matrix File" (RMF), generated separately by other tools. Instrumental characteristics and calibration results, e.g., XRT geometry, reflectivity, mutual alignments, thermal shield transmission, build-up of the contamination on the XIS optical blocking filters (OBF), are incorporated as completely as possible. Most of this information is available in the form of the FITS (Flexible Image Transport System) files in the standard calibration database (CALDB). This simulator can also be utilized to generate an "Ancillary Response File" (ARF), which describes the XRT response and the amount of OBF contamination. The ARF is dependent on the spatial distribution of the celestial target and the photon accumulation region on the detector, as well as observing conditions such as the observation date and satellite attitude. We describe principles of the simulator and the ARF generator, and demonstrate their performance in comparison with in-flight data.