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Title: NPTFit: A Code Package for Non-Poissonian Template Fitting

Abstract

Here, we present NPTFit, an open-source code package, written in python and cython, for performing non-Poissonian template fits (NPTFs). The NPTF is a recently-developed statistical procedure for characterizing the contribution of unresolved point sources (PSs) to astrophysical data sets. The NPTF was first applied to Fermi gamma-ray data to give evidence that the excess of ~GeV gamma-rays observed in the inner regions of the Milky Way likely arises from a population of sub-threshold point sources, and the NPTF has since found additional applications studying sub-threshold extragalactic sources at high Galactic latitudes. The NPTF generalizes traditional astrophysical template fits to allow for the ability to search for populations of unresolved PSs that may follow a given spatial distribution. NPTFit builds upon the framework of the fluctuation analyses developed in X-ray astronomy, and thus likely has applications beyond those demonstrated with gamma-ray data. The NPTFit package utilizes novel computational methods to perform the NPTF efficiently.

Authors:
ORCiD logo [1];  [2];  [2]
  1. Princeton Univ., NJ (United States). Dept. of Physics
  2. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Center for Theoretical Physics
Publication Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); American Australian Association; National Science Foundation (NSF)
OSTI Identifier:
1473879
Grant/Contract Number:  
SC0012567; SC-0013999; PHY-1066293
Resource Type:
Accepted Manuscript
Journal Name:
Astronomical Journal (Online)
Additional Journal Information:
Journal Name: Astronomical Journal (Online); Journal Volume: 153; Journal Issue: 6; Journal ID: ISSN 1538-3881
Publisher:
IOP Publishing - AAAS
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 79 ASTRONOMY AND ASTROPHYSICS; methods; statistical

Citation Formats

Mishra-Sharma, Siddharth, Rodd, Nicholas L., and Safdi, Benjamin R. NPTFit: A Code Package for Non-Poissonian Template Fitting. United States: N. p., 2017. Web. doi:10.3847/1538-3881/aa6d5f.
Mishra-Sharma, Siddharth, Rodd, Nicholas L., & Safdi, Benjamin R. NPTFit: A Code Package for Non-Poissonian Template Fitting. United States. doi:10.3847/1538-3881/aa6d5f.
Mishra-Sharma, Siddharth, Rodd, Nicholas L., and Safdi, Benjamin R. Tue . "NPTFit: A Code Package for Non-Poissonian Template Fitting". United States. doi:10.3847/1538-3881/aa6d5f. https://www.osti.gov/servlets/purl/1473879.
@article{osti_1473879,
title = {NPTFit: A Code Package for Non-Poissonian Template Fitting},
author = {Mishra-Sharma, Siddharth and Rodd, Nicholas L. and Safdi, Benjamin R.},
abstractNote = {Here, we present NPTFit, an open-source code package, written in python and cython, for performing non-Poissonian template fits (NPTFs). The NPTF is a recently-developed statistical procedure for characterizing the contribution of unresolved point sources (PSs) to astrophysical data sets. The NPTF was first applied to Fermi gamma-ray data to give evidence that the excess of ~GeV gamma-rays observed in the inner regions of the Milky Way likely arises from a population of sub-threshold point sources, and the NPTF has since found additional applications studying sub-threshold extragalactic sources at high Galactic latitudes. The NPTF generalizes traditional astrophysical template fits to allow for the ability to search for populations of unresolved PSs that may follow a given spatial distribution. NPTFit builds upon the framework of the fluctuation analyses developed in X-ray astronomy, and thus likely has applications beyond those demonstrated with gamma-ray data. The NPTFit package utilizes novel computational methods to perform the NPTF efficiently.},
doi = {10.3847/1538-3881/aa6d5f},
journal = {Astronomical Journal (Online)},
number = 6,
volume = 153,
place = {United States},
year = {2017},
month = {5}
}

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