发表机构
International Centre for Radio Astronomy Research, Curtin University; CSIRO Space & Astronomy, Commonwealth Scientific and Industrial Research Organisation; SKA Observatory, Jodrell Bank（国际射电天文研究中心，科廷大学; 联邦科学与工业研究组织空间与天文部; 平方公里阵列望远镜观测台，乔德雷尔银行）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究发布了针对GAMA9、GAMA23天区的最深MWA巡天数据，用优化的GLEAM-X pipeline处理并公开代码，编目大量射电源，验证其与其他巡天结果吻合，展示了其科学应用价值。
AI 中文摘要
我们介绍目前最深的MWA巡天，目标为GAMA9和GAMA23巡天天区，观测频率为215.68 MHz。带宽30.72 MHz，两幅图像覆盖GAMA9天区约1250平方度，GAMA23天区约850平方度，角分辨率约60角秒。GAMA9图像由1282次2分钟快照观测（共42.7小时）合成，GAMA23图像由1701次观测（共56.7小时）合成，天区中心深度分别为0.923±0.003 mJy/beam和0.331±0.001 mJy/beam。我们使用针对深巡天优化的更新版GLEAM-X pipeline处理数据，并公开该MWA深成像Pipeline代码。该Pipeline的更新包括观测下载、校准与成像的自动化，以及CLEANing方法和参数的优化。在5σ以上，我们在GAMA9和GAMA23天区分别编目53419个和80407个射电成分。我们发现两个天区经完整性校正的源计数在25-50 mJy范围内与LOFAR及早期MWA巡天结果吻合良好。我们通过重点介绍几个特别受关注的源，并描述该巡天可开展的未来科学研究，展示其实用性。
英文摘要
We present the deepest MWA survey to date, targeting the GAMA9 and GAMA23 survey fields at 215.68 MHz. With a bandwidth of 30.72 MHz, the two images cover ${\sim}1250\text{ deg}^2$ for the GAMA9 field and ${\sim}850\text{ deg}^2$ for the GAMA23 field, with an angular resolution of ${\sim}60''$. The GAMA9 image was formed from 1 282 2-min snapshot observations (42.7 hours) and the GAMA23 image from 1 701 observations (56.7 hours) achieving depths of $0.923 \pm 0.003$ and $0.331 \pm 0.001$ mJy/beam at the field centres respectively. We processed the data with an updated version of the GLEAM-X pipeline tuned for deep surveys and make this MWA Deep Imaging Pipeline code public. Updates to the pipeline include automation of the observation downloading, calibration, and imaging along with optimisation of the CLEANing methods and parameters. Above $5σ$, we catalogue 53 419 and 80 407 radio components in the GAMA9 and GAMA23 fields respectively. We find that the completeness corrected source counts for both fields are in good agreement down to $25$-$50$ mJy with those from LOFAR and earlier MWA surveys. We demonstrate the utility of this survey by highlighting a few sources of particular interest and describing future science possible with this survey.
CommentsAccepted for publication in PASA. The deep field mosaics, RMS maps, PSF maps and catalogues are available for download from: https://doi.org/10.57891/z19a-2n41
