Waveletbased techniques for the gammaray sky
Abstract
Here, we demonstrate how the image analysis technique of wavelet decomposition can be applied to the gammaray sky to separate emission on different angular scales. New structures on scales that differ from the scales of the conventional astrophysical foreground and background uncertainties can be robustly extracted, allowing a modelindependent characterization with no presumption of exact signal morphology. As a test case, we generate mock gammaray data to demonstrate our ability to extract extended signals without assuming a fixed spatial template. For some point source luminosity functions, our technique also allows us to differentiate a diffuse signal in gammarays from dark matter annihilation and extended gammaray point source populations in a datadriven way.
 Authors:
 SUNY Stony Brook, Stony Brook, NY (United States)
 Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
 The Johns Hopkins Univ., Baltimore, MD (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
 Broad Institute, Cambridge, MA (United States); Princeton Univ., Princeton, NJ (United States)
 Publication Date:
 Research Org.:
 Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC), High Energy Physics (HEP) (SC25)
 OSTI Identifier:
 1341885
 Report Number(s):
 FERMILABPUB15504T; YITPSB1543; arXiv:1512.00012
Journal ID: ISSN 14757516; 1407425; TRN: US1701809
 Grant/Contract Number:
 AC0207CH11359
 Resource Type:
 Journal Article: Accepted Manuscript
 Journal Name:
 Journal of Cosmology and Astroparticle Physics
 Additional Journal Information:
 Journal Volume: 2016; Journal Issue: 07; Journal ID: ISSN 14757516
 Publisher:
 Institute of Physics (IOP)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 79 ASTRONOMY AND ASTROPHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; dark matter theory; gamma ray detectors
Citation Formats
McDermott, Samuel D., Fox, Patrick J., Cholis, Ilias, and Lee, Samuel K. Waveletbased techniques for the gammaray sky. United States: N. p., 2016.
Web. doi:10.1088/14757516/2016/07/045.
McDermott, Samuel D., Fox, Patrick J., Cholis, Ilias, & Lee, Samuel K. Waveletbased techniques for the gammaray sky. United States. doi:10.1088/14757516/2016/07/045.
McDermott, Samuel D., Fox, Patrick J., Cholis, Ilias, and Lee, Samuel K. 2016.
"Waveletbased techniques for the gammaray sky". United States.
doi:10.1088/14757516/2016/07/045. https://www.osti.gov/servlets/purl/1341885.
@article{osti_1341885,
title = {Waveletbased techniques for the gammaray sky},
author = {McDermott, Samuel D. and Fox, Patrick J. and Cholis, Ilias and Lee, Samuel K.},
abstractNote = {Here, we demonstrate how the image analysis technique of wavelet decomposition can be applied to the gammaray sky to separate emission on different angular scales. New structures on scales that differ from the scales of the conventional astrophysical foreground and background uncertainties can be robustly extracted, allowing a modelindependent characterization with no presumption of exact signal morphology. As a test case, we generate mock gammaray data to demonstrate our ability to extract extended signals without assuming a fixed spatial template. For some point source luminosity functions, our technique also allows us to differentiate a diffuse signal in gammarays from dark matter annihilation and extended gammaray point source populations in a datadriven way.},
doi = {10.1088/14757516/2016/07/045},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 07,
volume = 2016,
place = {United States},
year = 2016,
month = 7
}
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