布雷拉多尺度小波钱德拉调查。偶然的来源目录
The Brera Multi-scale Wavelet Chandra Survey. The serendipitous source catalogue
摘要：
我们提出的布雷拉多尺度小波钱德拉（宝马钱德拉）源目录绘制基本上所有的钱德拉ACIS-I指出的意见与曝光时间超过10 KS公众2003年3月（136观测）。利用Lazzati等人（1999）和Campana等人（1999）开发的小波检测算法，该算法可以检测点状和扩展源，我们识别了21325个源。其中，16758个是偶然发现的，即与指向的目标无关。这使得我们的目录是迄今为止最大的钱德拉源汇编。这些源的0.5- 10 keV吸收校正通量范围为3E-16 - 9 E-12 erg/cm ~ 2/s，中值为7 E-15 erg/cm ~ 2/s。该目录包括进行探测的三个能量带（总能量，0.5- 7 keV;软能量，0.5- 2 keV;硬能量，2- 7 keV）的计数率和相对误差，以及相对于三个能量带中最高信噪比探测的源位置。小波算法还提供源的延伸的估计。我们还提取了四个额外的能带中的源计数，SB 1（0.5- 1 keV），SB 2（1-2keV），HB 1（2-4keV）和HB 2（4- 7 keV）。
英文摘要：
We present the Brera Multi-scale Wavelet Chandra (BMW-Chandra) source catalogue drawn from essentially all Chandra ACIS-I pointed observations with an exposure time in excess of 10ks public as of March 2003 (136 observations). Using the wavelet detection algorithm developed by Lazzati et al. (1999) and Campana et al. (1999), which can characterise both point-like and extended sources, we identified 21325 sources. Among them, 16758 are serendipitous, i.e. not associated with the targets of the pointings. This makes our catalogue the largest compilation of Chandra sources to date. The 0.5-10keV absorption corrected fluxes of these sources range from 3E-16 to 9E-12 erg/cm2/s with a median of 7E-15 erg/cm2/s. The catalogue consists of count rates and relative errors in three energy bands (total, 0.5-7keV; soft, 0.5-2keV; and hard, 2-7keV), where the detection was performed, and source positions relative to the highest signal-to-noise detection among the three bands. The wavelet algorithm also provides an estimate of the extension of the source. We also extracted source counts in four additional energy bands, SB1 (0.5-1keV), SB2 (1-2keV), HB1 (2-4keV), and HB2 (4-7keV).
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