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Reliable detection and characterization of low-frequency polarized sources in the LOFAR M51 field ?

机译:在LOFAR M51字段中可靠地检测和表征低频极化源

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Context. The new generation of broad-band radio continuum surveys will provide large data sets with polarization information. New algorithms need to be developed to extract reliable catalogs of linearly polarized sources that can be used to characterize those sources and produce a dense rotation measure (RM) grid to probe magneto-ionized structures along the line of sight via Faraday rotation. Aims. The aim of the paper is to develop a computationally efficient and rigorously defined source-finding algorithm for linearly polarized sources. Methods. We used a calibrated data set from the LOw Frequency ARray (LOFAR) at 150 MHz centered on the nearby galaxy M 51 to search for polarized background sources. With a new imaging software, we re-imaged the field at a resolution of 18″ × 15″ and cataloged a total of about 3000 continuum sources within 2.5° of the center of M 51. We made small Stokes Q and U images centered on each source brighter than 100 mJy in total intensity (201 sources) and used RM synthesis to create corresponding Faraday cubes that were analyzed individually. For each source, the noise distribution function was determined from a subset of the measurements at high Faraday depths where no polarization is expected; the peaks in polarized intensity in the Faraday spectrum were identified and the p -value of each source was calculated. Finally, the false discovery rate method was applied to the list of p -values to produce a list of polarized sources and quantify the reliability of the detections. We also analyzed sources fainter than 100 mJy but that were reported as polarized in the literature at at least another radio frequency. Results. Of the 201 sources that were searched for polarization, six polarized sources were detected confidently (with a false discovery rate of 5%). This corresponds to a number density of one polarized source per 3.3 square degrees, or 0.3 source per square degree. Increasing the false discovery rate to 50% yields 19 sources. A majority of the sources have a morphology that is indicative of them being double-lobed radio galaxies, and the ones with literature redshift measurements have 0.5 < z < 1.0. Conclusions. We find that this method is effective in identifying polarized sources, and is well suited for LOFAR observations. In the future, we intend to develop it further and apply it to larger data sets such as the LOFAR Two-meter Survey of the whole northern sky, LOTSS, and the ongoing deep LOFAR observations of the GOODS-North field.
机译:上下文。新一代的宽带无线电连续谱调查将为大型数据集提供极化信息。需要开发新的算法来提取线性极化源的可靠目录,这些目录可用于表征这些源并生成密集的旋转测量(RM)网格,以通过法拉第旋转沿视线探测磁化的结构。目的本文的目的是为线性极化源开发一种计算有效且严格定义的源发现算法。方法。我们使用来自低频率频率阵列(LOFAR)的校准数据集(以150 MHz为中心,以附近的星系M 51为中心)来搜索极化的背景源。借助新的成像软件,我们以18“×15”的分辨率对视场进行了重新成像,并在M 51中心的2.5°范围内对总计约3000个连续源进行了分类。我们制作了以Stokes Q和U为中心的小图像每个光源的总强度都超过100兆焦耳(201个光源),并使用RM合成来创建相应的法拉第立方体,并对其进行单独分析。对于每个声源,噪声分布函数是从法拉第深度较高的测量子集中确定的,其中没有极化现象。确定法拉第光谱中极化强度的峰值,并计算每个光源的p值。最后,将错误发现率方法应用于p值列表,以生成极化源列表,并量化检测的可靠性。我们还分析了小于100兆焦耳的光源,但在文献中至少在另一个无线电频率上被极化。结果。在搜索的201个极化源中,有6个极化源被可靠地检测到(错误发现率为5%)。这对应于每3.3平方度一个偏振光源或每平方度0.3偏振光源的数量密度。将错误发现率提高到50%可产生19个来源。大多数来源具有一种形态,表明它们是双瓣射电星系,具有文献红移测量结果的来源具有0.5

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