%0 Generic %1 citeulike:14462081 %A Cho, Jungyeon %D 2017 %K imported %T A technique of removing large-scale variations in astronomical observations %U http://arxiv.org/abs/1710.06901 %X In many astrophysical systems, smoothly-varying large-scale variations coexist with small-scale fluctuations. For example, a large-scale velocity or density gradient can exist in molecular clouds that exhibit small-scale turbulence. In redshifted 21cm observations, we also have two types of signals - the Galactic foreground emissions that change smoothly and the redshifted 21cm signals that change fast in frequency space. Sometimes the large-scale variations make it difficult to extract information on small-scale fluctuations. We propose a simple technique to remove smoothly varying large-scale variations. Our technique relies on multi-point structure functions and can obtain the magnitudes of small-scale fluctuations. It can also help us to filter out large-scale variations and retrieve small-scale maps. We discuss applications of our technique to astrophysical observations.

@misc{citeulike:14462081, abstract = {{In many astrophysical systems, smoothly-varying large-scale variations coexist with small-scale fluctuations. For example, a large-scale velocity or density gradient can exist in molecular clouds that exhibit small-scale turbulence. In redshifted 21cm observations, we also have two types of signals - the Galactic foreground emissions that change smoothly and the redshifted 21cm signals that change fast in frequency space. Sometimes the large-scale variations make it difficult to extract information on small-scale fluctuations. We propose a simple technique to remove smoothly varying large-scale variations. Our technique relies on multi-point structure functions and can obtain the magnitudes of small-scale fluctuations. It can also help us to filter out large-scale variations and retrieve small-scale maps. We discuss applications of our technique to astrophysical observations.}}, added-at = {2019-03-25T08:20:55.000+0100}, archiveprefix = {arXiv}, author = {Cho, Jungyeon}, biburl = {https://www.bibsonomy.org/bibtex/20ce49e3d694a75fc3f8eb8049f72f414/ericblackman}, citeulike-article-id = {14462081}, citeulike-linkout-0 = {http://arxiv.org/abs/1710.06901}, citeulike-linkout-1 = {http://arxiv.org/pdf/1710.06901}, day = 18, eprint = {1710.06901}, interhash = {b5bcec7a17b9db5b4f115f753b1bc9dd}, intrahash = {0ce49e3d694a75fc3f8eb8049f72f414}, keywords = {imported}, month = oct, posted-at = {2017-10-22 04:47:29}, priority = {2}, timestamp = {2019-03-25T08:20:55.000+0100}, title = {{A technique of removing large-scale variations in astronomical observations}}, url = {http://arxiv.org/abs/1710.06901}, year = 2017 }