Matches in SemOpenAlex for { <https://semopenalex.org/work/W2592842931> ?p ?o ?g. }
- W2592842931 endingPage "1823" @default.
- W2592842931 startingPage "1812" @default.
- W2592842931 abstract "The Wiener Filter (WF) technique enables the reconstruction of density and velocity fields from observed radial peculiar velocities. This paper aims at identifying the optimal design of peculiar velocity surveys within the WF framework. The prime goal is to test the dependence of the quality of the reconstruction on the distribution and nature of data points. Mock datasets, extending to 250 Mpc/h, are drawn from a constrained simulation that mimics the local Universe to produce realistic mock catalogs. Reconstructed fields obtained with these mocks are compared to the reference simulation. Comparisons, including residual distributions, cell-to-cell and bulk velocities, imply that the presence of field data points is essential to properly measure the flows. The fields reconstructed from mocks that consist only of galaxy cluster data points exhibit poor quality bulk velocities. In addition, the quality of the reconstruction depends strongly on the grouping of individual data points into single points to suppress virial motions in high density regions. Conversely, the presence of a Zone of Avoidance hardly affects the reconstruction. For a given number of data points, a uniform sample does not score any better than a sample with decreasing number of data points with the distance. The best reconstructions are obtained with a grouped survey containing field galaxies: Assuming no error, they differ from the simulated field by less than 100 km/s up to the extreme edge of the catalogs or up to a distance of three times the mean distance of data points for non-uniform catalogs. The overall conclusions hold when errors are added." @default.
- W2592842931 created "2017-03-16" @default.
- W2592842931 creator A5031745565 @default.
- W2592842931 creator A5039347456 @default.
- W2592842931 creator A5050368575 @default.
- W2592842931 date "2017-03-04" @default.
- W2592842931 modified "2023-10-09" @default.
- W2592842931 title "Towards an optimal sampling of peculiar velocity surveys for Wiener Filter reconstructions" @default.
- W2592842931 cites W1886868625 @default.
- W2592842931 cites W1947575852 @default.
- W2592842931 cites W1984631803 @default.
- W2592842931 cites W2013403927 @default.
- W2592842931 cites W2019468284 @default.
- W2592842931 cites W2026987466 @default.
- W2592842931 cites W2031263070 @default.
- W2592842931 cites W2042956136 @default.
- W2592842931 cites W2045026061 @default.
- W2592842931 cites W2049144203 @default.
- W2592842931 cites W2049203344 @default.
- W2592842931 cites W2050931051 @default.
- W2592842931 cites W2056330005 @default.
- W2592842931 cites W2062513449 @default.
- W2592842931 cites W2069557863 @default.
- W2592842931 cites W2076494303 @default.
- W2592842931 cites W2087517229 @default.
- W2592842931 cites W2089311248 @default.
- W2592842931 cites W2111810805 @default.
- W2592842931 cites W2113391777 @default.
- W2592842931 cites W2139937287 @default.
- W2592842931 cites W2142243016 @default.
- W2592842931 cites W2168033111 @default.
- W2592842931 cites W2214077841 @default.
- W2592842931 cites W2244337956 @default.
- W2592842931 cites W2253396437 @default.
- W2592842931 cites W2257695025 @default.
- W2592842931 cites W2271981369 @default.
- W2592842931 cites W2330542632 @default.
- W2592842931 cites W2343637250 @default.
- W2592842931 cites W2384032856 @default.
- W2592842931 cites W2401966916 @default.
- W2592842931 cites W2506103047 @default.
- W2592842931 cites W2964217547 @default.
- W2592842931 cites W3098333342 @default.
- W2592842931 cites W3099469848 @default.
- W2592842931 cites W3100655566 @default.
- W2592842931 cites W3101168514 @default.
- W2592842931 cites W3102188644 @default.
- W2592842931 cites W3104019486 @default.
- W2592842931 cites W3105900570 @default.
- W2592842931 doi "https://doi.org/10.1093/mnras/stx557" @default.
- W2592842931 hasPublicationYear "2017" @default.
- W2592842931 type Work @default.
- W2592842931 sameAs 2592842931 @default.
- W2592842931 citedByCount "12" @default.
- W2592842931 countsByYear W25928429312018 @default.
- W2592842931 countsByYear W25928429312019 @default.
- W2592842931 countsByYear W25928429312020 @default.
- W2592842931 countsByYear W25928429312021 @default.
- W2592842931 countsByYear W25928429312023 @default.
- W2592842931 crossrefType "journal-article" @default.
- W2592842931 hasAuthorship W2592842931A5031745565 @default.
- W2592842931 hasAuthorship W2592842931A5039347456 @default.
- W2592842931 hasAuthorship W2592842931A5050368575 @default.
- W2592842931 hasBestOaLocation W25928429312 @default.
- W2592842931 hasConcept C106131492 @default.
- W2592842931 hasConcept C11413529 @default.
- W2592842931 hasConcept C120665830 @default.
- W2592842931 hasConcept C121332964 @default.
- W2592842931 hasConcept C121864883 @default.
- W2592842931 hasConcept C124101348 @default.
- W2592842931 hasConcept C127529279 @default.
- W2592842931 hasConcept C140779682 @default.
- W2592842931 hasConcept C192975764 @default.
- W2592842931 hasConcept C198531522 @default.
- W2592842931 hasConcept C202444582 @default.
- W2592842931 hasConcept C21080849 @default.
- W2592842931 hasConcept C2779530757 @default.
- W2592842931 hasConcept C2780009758 @default.
- W2592842931 hasConcept C31972630 @default.
- W2592842931 hasConcept C33024259 @default.
- W2592842931 hasConcept C33923547 @default.
- W2592842931 hasConcept C41008148 @default.
- W2592842931 hasConcept C44870925 @default.
- W2592842931 hasConcept C62520636 @default.
- W2592842931 hasConcept C94915269 @default.
- W2592842931 hasConcept C9652623 @default.
- W2592842931 hasConcept C97355855 @default.
- W2592842931 hasConcept C98444146 @default.
- W2592842931 hasConceptScore W2592842931C106131492 @default.
- W2592842931 hasConceptScore W2592842931C11413529 @default.
- W2592842931 hasConceptScore W2592842931C120665830 @default.
- W2592842931 hasConceptScore W2592842931C121332964 @default.
- W2592842931 hasConceptScore W2592842931C121864883 @default.
- W2592842931 hasConceptScore W2592842931C124101348 @default.
- W2592842931 hasConceptScore W2592842931C127529279 @default.
- W2592842931 hasConceptScore W2592842931C140779682 @default.
- W2592842931 hasConceptScore W2592842931C192975764 @default.
- W2592842931 hasConceptScore W2592842931C198531522 @default.