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arXiv 0708.2750astro-ph
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斯隆数字巡天II超新星巡天:搜索算法和跟踪观测

The Sloan Digital Sky Survey-II Supernova Survey: Search Algorithm and Follow-up Observations

Masao Sako, B. Bassett, A. Becker, D. Cinabro, F. DeJongh, D. L. Depoy, B. Dilday, M. Doi, J. A. Frieman, P. M. Garnavich, C. J. Hogan, J. Holtzman, S. Jha, R. … 展开作者

Masao Sako, B. Bassett, A. Becker, D. Cinabro, F. DeJongh, D. L. Depoy, B. Dilday, M. Doi, J. A. Frieman, P. M. Garnavich, C. J. Hogan, J. Holtzman, S. Jha, R. Kessler, K. Konishi, H. Lampeitl, J. Marriner, G. Miknaitis, R. C. Nichol, J. L. Prieto, A. G. Riess, M. W. Richmond, R. Romani, D. P. Schneider, M. Smith, M. SubbaRao, N. Takanashi, K. Tokita, K. van der Heyden, N. Yasuda, C. Zheng, J. Barentine, H. Brewington, C. Choi, J. Dembicky, M. Harnavek, Y. Ihara, M. Im, W. Ketzeback, S. J. Kleinman, J. Krzesiński, D. C. Long, E. Malanushenko, V. Malanushenko, R. J. McMillan, T. Morokuma, A. Nitta, K. Pan, G. Saurage, S. A. Snedden

摘要:

斯隆数字巡天II超新星巡天已经在300平方公里的区域内发现了大量新的瞬变源。°的在三个季节运动的前两个季节中沿天赤道的区域。测量了大多数光源的多波段(ugriz)光变曲线,其中包括太阳系物体、银河系变星、活动星系核、超新星(SNe)和其他天文瞬变。成像调查得到了广泛的光谱后续计划的补充,以确定SNe,测量其红移,并通过光谱诊断研究爆炸的物理条件及其环境。在调查过程中,光变曲线迅速评估,以提供一个初始的光度类型的SNe,和选定的样品源的光谱观测的目标。在前两个季节,476个源被选中进行光谱观测,其中403个被确定为SNe。对于Type Ia SNe,我们的测光分型和定位效率为90%。只有6%的光度测定的Ia型超新星候选者被光谱分类为非Ia型超新星,剩下的4%导致低信噪比,未分类的光谱。本文介绍了搜索算法和软件,并对SDSS成像数据进行了实时处理。我们还提出了超新星候选人的选择程序和策略的细节,为后续的光谱和成像观测发现的来源。

英文摘要:

The Sloan Digital Sky Survey-II Supernova Survey has identified a large number of new transient sources in a 300 sq. deg. region along the celestial equator during its first two seasons of a three-season campaign. Multi-band (ugriz) light curves were measured for most of the sources, which include solar system objects, Galactic variable stars, active galactic nuclei, supernovae (SNe), and other astronomical transients. The imaging survey is augmented by an extensive spectroscopic follow-up program to identify SNe, measure their redshifts, and study the physical conditions of the explosions and their environment through spectroscopic diagnostics. During the survey, light curves are rapidly evaluated to provide an initial photometric type of the SNe, and a selected sample of sources are targeted for spectroscopic observations. In the first two seasons, 476 sources were selected for spectroscopic observations, of which 403 were identified as SNe. For the Type Ia SNe, the main driver for the Survey, our photometric typing and targeting efficiency is 90%. Only 6% of the photometric SN Ia candidates were spectroscopically classified as non-SN Ia instead, and the remaining 4% resulted in low signal-to-noise, unclassified spectra. This paper describes the search algorithm and the software, and the real-time processing of the SDSS imaging data. We also present the details of the supernova candidate selection procedures and strategies for follow-up spectroscopic and imaging observations of the discovered sources.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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