MeerKLASS L波段和UHF波段巡天的光学对应体
Optical Counterparts of MeerKLASS L-band and UHF-band surveys
AI总结：
本研究针对MeerKLASS L波段和UHF波段巡天的射电源，开发SEDA方法构建光学对应体星表，识别大量对应体并发现罕见高红移射电类星体，为相关后续研究提供数据基础。
AI中文摘要：
背景：广域射电连续谱巡天需要可靠的光学和红外对应体识别，但高光学源密度以及延展或多成分的射电形态使得这项工作颇具挑战性。目的：我们利用KiDS DR5和DESI Legacy成像巡天DR10（LS DR10），为MeerKLASS L波段和UHF波段的实时连续电源构建了光学和红外对应体星表，包含对应体概率、红移以及寄主星系属性。方法：我们开发了恒星质量增强密度关联（SEDA）方法，这是一个经验框架，用于比较射电位置周围的候选体密度与位置偏移控制星表中的密度。对于星系，我们使用位置偏移、恒星质量和红移；类星体候选体则通过偏移和中红外选择单独处理。二次搜索将多成分射电源与共同寄主相关联。结果：在L波段巡天中，我们识别出20400个基于KiDS的对应体，其$P_{\rm true}>0.5$，对应KiDS覆盖范围内L波段源的66%；在UHF波段巡天中，我们识别出61633个LS DR10对应体，对应射电源的81%。L波段和UHF波段对应体中分别有22%和44%拥有光谱红移。红移分布显示出低红移恒星形成星系、中等红移射电星系，以及以类星体为主的高红移尾。SEDA还识别出罕见的射电噪类星体，包括红移为6.44的QSO J2318-3113和红移为5.24的UHF_DR1 J+111111.8+053626.6。结论：SEDA为具有复杂源形态的广域射电巡天提供了数据驱动的对应体识别途径，这些星表将支持未来MeerKLASS对射电源种群、寄主星系人口统计学以及罕见高红移射电类星体的研究。
英文摘要：
Context: Wide-area radio continuum surveys require reliable optical and infrared counterpart identification, but high optical source densities and extended or multi-component radio morphologies make this challenging. Aims: We present optical and infrared counterpart catalogs for MeerKLASS L-band and UHF-band on-the-fly continuum sources using KiDS DR5 and DESI Legacy Imaging Surveys DR10 (LS DR10), including counterpart probabilities, redshifts, and host-galaxy properties. Methods: We developed the Stellar-mass Enhanced Density Association (SEDA) method, an empirical framework that compares candidate densities around radio positions with those in a position-displaced control catalog. For galaxies we use positional offset, stellar mass, and redshift; quasar candidates are treated separately using offset and mid-infrared selection. A second-pass search associates multi-component radio sources with common hosts. Results: In the L-band survey, we identify 20,400 KiDS-based counterparts with $P_{\rm true}>0.5$, corresponding to 66% of L-band sources within the KiDS footprint. In the UHF-band survey, we identify 61,633 LS DR10 counterparts, corresponding to 81% of the radio sources. Spectroscopic redshifts are available for 22% and 44% of the L-band and UHF-band counterparts, respectively. The redshift distributions show low-redshift star-forming galaxies, intermediate-redshift radio galaxies, and a high-redshift tail dominated by quasars. SEDA also recovers rare radio-loud quasars, including QSO J2318-3113 at $z=6.44$ and UHF_DR1 J+111111.8+053626.6 at $z=5.24$. Conclusions: SEDA provides a data-driven route to counterpart identification for wide-area radio surveys with complex source morphologies. The catalogs enable future MeerKLASS studies of radio source populations, host-galaxy demographics, and rare high-redshift radio quasars.
