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The NANOGrav 15-year Gravitational-Wave Background Analysis Pipeline

Authors :
Johnson, Aaron D.
Meyers, Patrick M.
Baker, Paul T.
Cornish, Neil J.
Hazboun, Jeffrey S.
Littenberg, Tyson B.
Romano, Joseph D.
Taylor, Stephen R.
Vallisneri, Michele
Vigeland, Sarah J.
Olum, Ken D.
Siemens, Xavier
Ellis, Justin A.
van Haasteren, Rutger
Hourihane, Sophie
Agazie, Gabriella
Anumarlapudi, Akash
Archibald, Anne M.
Arzoumanian, Zaven
Blecha, Laura
Brazier, Adam
Brook, Paul R.
Burke-Spolaor, Sarah
Bécsy, Bence
Casey-Clyde, J. Andrew
Charisi, Maria
Chatterjee, Shami
Chatziioannou, Katerina
Cohen, Tyler
Cordes, James M.
Crawford, Fronefield
Cromartie, H. Thankful
Crowter, Kathryn
DeCesar, Megan E.
Demorest, Paul B.
Dolch, Timothy
Drachler, Brendan
Ferrara, Elizabeth C.
Fiore, William
Fonseca, Emmanuel
Freedman, Gabriel E.
Garver-Daniels, Nate
Gentile, Peter A.
Glaser, Joseph
Good, Deborah C.
Gültekin, Kayhan
Jennings, Ross J.
Jones, Megan L.
Kaiser, Andrew R.
Kaplan, David L.
Kelley, Luke Zoltan
Kerr, Matthew
Key, Joey S.
Laal, Nima
Lam, Michael T.
Lamb, William G.
Lazio, T. Joseph W.
Lewandowska, Natalia
Liu, Tingting
Lorimer, Duncan R.
Lynch, Ryan S.
Ma, Chung-Pei
Madison, Dustin R.
McEwen, Alexander
McKee, James W.
McLaughlin, Maura A.
McMann, Natasha
Meyers, Bradley W.
Mingarelli, Chiara M. F.
Mitridate, Andrea
Ng, Cherry
Nice, David J.
Ocker, Stella Koch
Pennucci, Timothy T.
Perera, Benetge B. P.
Pol, Nihan S.
Radovan, Henri A.
Ransom, Scott M.
Ray, Paul S.
Sardesai, Shashwat C.
Schmiedekamp, Carl
Schmiedekamp, Ann
Schmitz, Kai
Shapiro-Albert, Brent J.
Simon, Joseph
Siwek, Magdalena S.
Stairs, Ingrid H.
Stinebring, Daniel R.
Stovall, Kevin
Susobhanan, Abhimanyu
Swiggum, Joseph K.
Turner, Jacob E.
Unal, Caner
Wahl, Haley M.
Witt, Caitlin A.
Young, Olivia
Johnson, Aaron D.
Meyers, Patrick M.
Baker, Paul T.
Cornish, Neil J.
Hazboun, Jeffrey S.
Littenberg, Tyson B.
Romano, Joseph D.
Taylor, Stephen R.
Vallisneri, Michele
Vigeland, Sarah J.
Olum, Ken D.
Siemens, Xavier
Ellis, Justin A.
van Haasteren, Rutger
Hourihane, Sophie
Agazie, Gabriella
Anumarlapudi, Akash
Archibald, Anne M.
Arzoumanian, Zaven
Blecha, Laura
Brazier, Adam
Brook, Paul R.
Burke-Spolaor, Sarah
Bécsy, Bence
Casey-Clyde, J. Andrew
Charisi, Maria
Chatterjee, Shami
Chatziioannou, Katerina
Cohen, Tyler
Cordes, James M.
Crawford, Fronefield
Cromartie, H. Thankful
Crowter, Kathryn
DeCesar, Megan E.
Demorest, Paul B.
Dolch, Timothy
Drachler, Brendan
Ferrara, Elizabeth C.
Fiore, William
Fonseca, Emmanuel
Freedman, Gabriel E.
Garver-Daniels, Nate
Gentile, Peter A.
Glaser, Joseph
Good, Deborah C.
Gültekin, Kayhan
Jennings, Ross J.
Jones, Megan L.
Kaiser, Andrew R.
Kaplan, David L.
Kelley, Luke Zoltan
Kerr, Matthew
Key, Joey S.
Laal, Nima
Lam, Michael T.
Lamb, William G.
Lazio, T. Joseph W.
Lewandowska, Natalia
Liu, Tingting
Lorimer, Duncan R.
Lynch, Ryan S.
Ma, Chung-Pei
Madison, Dustin R.
McEwen, Alexander
McKee, James W.
McLaughlin, Maura A.
McMann, Natasha
Meyers, Bradley W.
Mingarelli, Chiara M. F.
Mitridate, Andrea
Ng, Cherry
Nice, David J.
Ocker, Stella Koch
Pennucci, Timothy T.
Perera, Benetge B. P.
Pol, Nihan S.
Radovan, Henri A.
Ransom, Scott M.
Ray, Paul S.
Sardesai, Shashwat C.
Schmiedekamp, Carl
Schmiedekamp, Ann
Schmitz, Kai
Shapiro-Albert, Brent J.
Simon, Joseph
Siwek, Magdalena S.
Stairs, Ingrid H.
Stinebring, Daniel R.
Stovall, Kevin
Susobhanan, Abhimanyu
Swiggum, Joseph K.
Turner, Jacob E.
Unal, Caner
Wahl, Haley M.
Witt, Caitlin A.
Young, Olivia
Publication Year :
2023

Abstract

This paper presents rigorous tests of pulsar timing array methods and software, examining their consistency across a wide range of injected parameters and signal strength. We discuss updates to the 15-year isotropic gravitational-wave background analyses and their corresponding code representations. Descriptions of the internal structure of the flagship algorithms \texttt{Enterprise} and \texttt{PTMCMCSampler} are given to facilitate understanding of the PTA likelihood structure, how models are built, and what methods are currently used in sampling the high-dimensional PTA parameter space. We introduce a novel version of the PTA likelihood that uses a two-step marginalization procedure that performs much faster when the white noise parameters remain fixed. We perform stringent tests of consistency and correctness of the Bayesian and frequentist analysis software. For the Bayesian analysis, we test prior recovery, injection recovery, and Bayes factors. For the frequentist analysis, we test that the cross-correlation-based optimal statistic, when modified to account for a non-negligible gravitational-wave background, accurately recovers the amplitude of the background. We also summarize recent advances and tests performed on the optimal statistic in the literature from both GWB detection and parameter estimation perspectives. The tests presented here validate current and future analyses of PTA data.<br />Comment: 30 pages, 10 figures, 1 table; Companion paper to "The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background"; For questions or comments, please email comments@nanograv.org

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1405316619
Document Type :
Electronic Resource