SpectRes: A Fast Spectral Resampling Tool in Python
SpectRes: A Fast Spectral Resampling Tool in Python
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发表时间：
2017-05
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通讯作者：
A. Carnall
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作者：
A. Carnall
我提出了一个快速的 Python 工具 SpectRes，用于对不同波长网格上的光谱通量密度及其相关的不确定性进行重采样。该函数适用于任何波长值网格，包括非均匀采样，并保留积分通量。这可用于对数据进行分箱以增加信噪比、获得合成光度测定或对模型光谱进行重采样以匹配观测数据的采样以进行光谱能量分布拟合。该函数可以从此 https URL 下载
I present a fast Python tool, SpectRes, for carrying out the resampling of spectral flux densities and their associated uncertainties onto different wavelength grids. The function works with any grid of wavelength values, including non-uniform sampling, and preserves the integrated flux. This may be of use for binning data to increase the signal to noise ratio, obtaining synthetic photometry, or resampling model spectra to match the sampling of observed data for spectral energy distribution fitting. The function can be downloaded from this https URL