巡天光谱中拼接异常光谱的自动检测和异常分级方法
发布时间：2018-11-25 09:52
【摘要】：拼接异常是光谱在红蓝两端拼接区域表现出的光谱连续性差的一种现象。在LAMOST的光谱处理中,仪器的稳定性、观测条件以及获得的响应函数等问题都是造成拼接异常的原因。光谱拼接是否正常对于光谱发布等后续工作的质量有重要影响。提出一种拼接异常光谱的自动检测方法,有效地提高了工作效率。该研究可以为LAMOST数据提供一个自动的标记,来评价拼接质量,也可以为用户提供一个使用数据时的选择。该方法首先将待测光谱进行流量归一化、去除钠线等预处理,并将其分为红蓝两端;然后对红蓝两端分别进行拟合;最后对两条拟合曲线,选取一系列等波长间隔的点,计算在这些点处的流量差值,得到所有流量差值的均值,标准差,并且计算两条曲线积分面积的差值;基于上述统计量,提出了一个判断光谱是否异常及其异常程度的评价函数。大量的实验证明,该方法具有良好的拼接异常光谱检测效果。
[Abstract]:Splicing anomaly is a phenomenon of spectral continuity in the regions of red and blue splicing. In the spectral processing of LAMOST, the stability of the instrument, the observation conditions and the response function obtained are all the causes of the abnormal splicing. Whether spectral splicing is normal or not has an important effect on the quality of subsequent work such as spectral distribution. An automatic detection method of splicing abnormal spectrum is presented, which improves the working efficiency effectively. This study can provide an automatic tag for LAMOST data to evaluate the splicing quality, and can also provide users with a choice when using the data. The method firstly normalizes the flow rate of the spectrum to be measured, removes the sodium line, and divides it into red and blue ends, and then fits the red and blue ends respectively. Finally, for two fitting curves, a series of points with equal wavelength spacing are selected, and the flow difference at these points is calculated. The mean value and standard deviation of all the flow differences are obtained, and the difference of integral area between the two curves is calculated. Based on the above statistics, an evaluation function is proposed to judge whether the spectrum is abnormal or not and the degree of anomaly. A large number of experiments have proved that this method has a good effect of splicing abnormal spectrum detection.
【作者单位】： 山东大学(威海)机电与信息工程学院;中国科学院光学天文重点实验室国家天文台;
【基金】：国家自然科学基金项目(U1431102)资助
【分类号】：P111
本文编号：2355676
[Abstract]:Splicing anomaly is a phenomenon of spectral continuity in the regions of red and blue splicing. In the spectral processing of LAMOST, the stability of the instrument, the observation conditions and the response function obtained are all the causes of the abnormal splicing. Whether spectral splicing is normal or not has an important effect on the quality of subsequent work such as spectral distribution. An automatic detection method of splicing abnormal spectrum is presented, which improves the working efficiency effectively. This study can provide an automatic tag for LAMOST data to evaluate the splicing quality, and can also provide users with a choice when using the data. The method firstly normalizes the flow rate of the spectrum to be measured, removes the sodium line, and divides it into red and blue ends, and then fits the red and blue ends respectively. Finally, for two fitting curves, a series of points with equal wavelength spacing are selected, and the flow difference at these points is calculated. The mean value and standard deviation of all the flow differences are obtained, and the difference of integral area between the two curves is calculated. Based on the above statistics, an evaluation function is proposed to judge whether the spectrum is abnormal or not and the degree of anomaly. A large number of experiments have proved that this method has a good effect of splicing abnormal spectrum detection.
【作者单位】： 山东大学(威海)机电与信息工程学院;中国科学院光学天文重点实验室国家天文台;
【基金】：国家自然科学基金项目(U1431102)资助
【分类号】：P111
【相似文献】
相关期刊论文 前9条
1 李武选;;分段拟合技术在长期趋势建模过程中的具体应用[J];世界科技研究与发展;2008年03期
2 李武选;;分段拟合技术的建模效果印证及预测[J];统计与决策;2008年13期
3 王凤利,马孝江;分段拟合中消除段外模态影响的方法[J];大连理工大学学报;2002年06期
4 周晓光;苗洪利;王云海;范陈清;崔廷伟;张杰;;卫星地面轨迹分段拟合确定交叉点的方法研究[J];测绘学报;2012年06期
5 徐乐年,郑丰隆,郑效田;钻孔水位自记仪的研制[J];仪表技术与传感器;1996年07期
6 徐仁佐;刘莲君;潘志宏;熊忠伟;;NHPP模型拟合质量的改进[J];自然科学进展;1991年06期
7 叶根红;叶中付;祝佳;;基于分段拟合的LAMOST波长定标方法[J];天文学报;2013年05期
8 周林;潘婕;张镭;许吟隆;;概率调整法在气候模式模拟降水量订正中的应用[J];应用气象学报;2014年03期
9 ;[J];;年期
相关硕士学位论文 前1条
1 彭丹;基于热膜探头的气体流量传感器研究[D];浙江大学;2015年
，本文编号：2355676
本文链接：https://www.wllwen.com/kejilunwen/tianwen/2355676.html
