The Caltech-NRAO Stripe 82 Survey (CNSS). II. On-the-fly Mosaicking Methodology
The Caltech-NRAO Stripe 82 Survey (CNSS). II. On-the-fly Mosaicking Methodology
复制标题
加州理工学院-NRAO Stripe 82 调查 (CNSS)。
作者：
K. Mooley;S. Myers;D. Frail;G. Hallinan;B. Butler;A. Kimball;K. Golap
望远镜的回转和稳定时间显着降低效率的宽视场多历元调查的灵敏干涉仪与小视场。可以通过使用飞行中镶嵌（OTFM）来减轻开销，其中天线以非恒星速率驱动并且连续记录vibrations。在这里，我们介绍了OTFM技术的超大型阵列（VLA），并描述了其实现的加州理工学院NRAO条纹82调查（CNSS），一个专门的五个历元调查慢瞬态在S波段（2-4 GHz）。我们还描述了OTFSim工具规划动态调度OTFM观测的VLA，最新的成像能力OTFM在CASA，并提出了OTFM观测与点观测的比较。使用我们的观察从CNSS试点和最终调查的子集，我们证明了宽带和宽场OTFM观测与VLA可以准确地成像，这种技术提供了一个更有效的替代标准镶嵌多历元浅调查，如CNSS和VLA巡天。我们预计新的OTFM模式将促进新的天气调查和高频制图实验的VLA。
Telescope slew and settle time markedly reduce the efficiency of wide-field multi-epoch surveys for sensitive interferometers with small fields of view. The overheads can be mitigated through the use of on-the-fly mosaicking (OTFM), where the the antennas are driven at a non-sidereal rate and visibilities are recorded continuously. Here we introduce the OTFM technique for the Very Large Array (VLA), and describe its implementation for the Caltech-NRAO Stripe 82 Survey (CNSS), a dedicated five-epoch survey for slow transients at the S band (2–4 GHz). We also describe the OTFSim tool for planning dynamically scheduled OTFM observations on the VLA, the latest imaging capabilities for OTFM in CASA, and present a comparison of OTFM observations with pointed observations. Using the subset of our observations from the CNSS pilot and final surveys, we demonstrate that the wide-band and wide-field OTFM observations with the VLA can be imaged accurately, and that this technique offers a more efficient alternative to standard mosaicking for multi-epoch shallow surveys such as the CNSS and the VLA Sky Survey. We envisage that the new OTFM mode will facilitate new synoptic surveys and high-frequency mapping experiments on the VLA.
影响因子：
56.9
作者：
Hallinan, G.;Corsi, A.;Singer, L. P.
通讯作者：
Singer, L. P.
影响因子：
64.8
作者：
K. Mooley;E. Nakar;K. Hotokezaka;G. Hallinan;A. Corsi;D. Frail;A. Horesh;T. Murphy;E. Lenc;D. Kaplan;K. De;D. Dobie;P. Chandra;A. Deller;O. Gottlieb;M. Kasliwal;S. Kulkarni;S. Myers;S. Nissanke;T. Piran;C. Lynch;V. Bhalerao;S. Bourke;K. Bannister;L. Oxford;Nrao;Caltech;T. University;P. University;Texas Tech University;The Hebrew University of Jerusalem;U. Sydney;Caastro;U. O. W. Milwaukee;Atnf;Csiro;Ncra;S. University;S. U. Technology;R. University;Iit Bombay;C. Technology;Nasa Gsfc;Jansky Fellow;NRAOCaltech
通讯作者：
K. Mooley;E. Nakar;K. Hotokezaka;G. Hallinan;A. Corsi;D. Frail;A. Horesh;T. Murphy;E. Lenc;D. Kaplan;K. De;D. Dobie;P. Chandra;A. Deller;O. Gottlieb;M. Kasliwal;S. Kulkarni;S. Myers;S. Nissanke;T. Piran;C. Lynch;V. Bhalerao;S. Bourke;K. Bannister;L. Oxford;Nrao;Caltech;T. University;P. University;Texas Tech University;The Hebrew University of Jerusalem;U. Sydney;Caastro;U. O. W. Milwaukee;Atnf;Csiro;Ncra;S. University;S. U. Technology;R. University;Iit Bombay;C. Technology;Nasa Gsfc;Jansky Fellow;NRAOCaltech