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arXiv 1306.3812astro-ph.IMastro-ph.HE
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费米GBM数据的方向相关背景拟合

Direction Dependent Background Fitting for the Fermi GBM Data

Dorottya Szécsi, Zsolt Bagoly, József Kóbori, István Horváth, Lajos G. Balázs

摘要:

提出了一种利用卫星位置信息和物理模型确定费米GBM伽玛暴背景的方法。由于通常用于GRB的多项式拟合方法通常仅指示相对短时间尺度上的背景,因此该方法在长GRB或具有自主重点请求(ARR)和在短时间尺度上具有很大变化的背景的情况下特别有用。我们给出了一个方向相关背景拟合(DDBF)的方法来分离运动的影响,从实际数据和计算的持续时间(T90和T50,以及置信区间)的9个示例突发,其中两个导致ARR。我们还总结了我们的方法的特点,并定性地比较它与官方GBM目录。我们的背景过滤方法使用基于卫星位置的物理信息的模型。因此,与以前的方法相比,它具有许多优点。它可以适应长背景间隔,消除卫星摇摆行为造成的所有特征,并搜索长发射或非触发事件。此外,许多部分的拟合现在已经自动化,该方法已被证明是工作的天空调查模式和ARR模式的数据。未来的工作将提供一个突发目录与DDBF。

英文摘要:

We present a method for determining the background of Fermi GBM GRBs using the satellite positional information and a physical model. Since the polynomial fitting method typically used for GRBs is generally only indicative of the background over relatively short timescales, this method is particularly useful in the cases of long GRBs or those which have Autonomous Repoint Request (ARR) and a background with much variability on short timescales. We give a Direction Dependent Background Fitting (DDBF) method for separating the motion effects from the real data and calculate the duration (T90 and T50, as well as confidence intervals) of the nine example bursts, from which two resulted an ARR. We also summarize the features of our method and compare it qualitatively with the official GBM Catalogue. Our background filtering method uses a model based on the physical information of the satellite position. Therefore, it has many advantages compared to previous methods. It can fit long background intervals, remove all the features caused by the rocking behaviour of the satellite, and search for long emissions or not-triggered events. Furthermore, many part of the fitting have now been automatised, and the method have been shown to work for both Sky Survey mode and ARR mode data. Future work will provide a burst catalogue with DDBF.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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