Gaia Data Release 3 Gaia scan-angle-dependent signals and spurious periods

被引:36
|
作者
Holl, B. [1 ,2 ]
Fabricius, C. [3 ,4 ]
Portell, J. [3 ,4 ]
Lindegren, L. [5 ]
Panuzzo, P. [6 ]
Bernet, M. [3 ,4 ]
Castaneda, J. [3 ,4 ]
de Fombelle, G. Jevardat [1 ]
Audard, M. [1 ,2 ]
Ducourant, C. [7 ]
Harrison, D. L. [8 ,9 ]
Evans, D. W. [8 ]
Busso, G. [8 ]
Sozzetti, A. [10 ]
Gosset, E. [11 ,12 ]
Arenou, F.
De Angeli, F. [8 ]
Riello, M. [8 ]
Eyer, L. [1 ]
Rimoldini, L. [2 ]
Gavras, P. [13 ]
Mowlavi, N. [1 ]
Nienartowicz, K. [2 ,14 ]
Lecoeur-Taiebi, I. [2 ]
Garcia-Lario, P. [15 ]
Pourbaix, D. [12 ,16 ]
机构
[1] Univ Geneva, Dept Astron, Chemin Pegasi 51, CH-1290 Versoix, Switzerland
[2] Univ Geneva, Dept Astron, Chemin Ecogia 16, CH-1290 Versoix, Switzerland
[3] Inst Estudis Espacials Catalunya IEEC, C Gran Capita 2-4, Barcelona 08034, Spain
[4] Univ Barcelona, Inst Ciencies Cosmos ICCUB, C Marti i Franques 1, Barcelona 08028, Spain
[5] Lund Univ, Dept Astron & Theoret Phys, Lund Observ, Box 43, S-22100 Lund, Sweden
[6] Univ PSL, CNRS, GEPI, Observ Paris, 5 Pl Jules, F-92190 Meudon, France
[7] Univ Bordeaux, CNRS, Lab Astrophys Bordeaux, B18N Allee Geoffroy St Hilaire, F-33615 Pessac, France
[8] Univ Cambridge, Inst Astron, Madingley Rd, Cambridge CB3 0HA, England
[9] Kavli Inst Cosmol, Inst Astron, Madingley Rd, Cambridge CB3 0HA, England
[10] INAF Osservatorio Astrofis Torino, Via Osservatorio 20, I-10025 Pino Torinese, Italy
[11] Univ Liege, Inst Astrophys & Geophys, 19C Allee 6 Aout, B-4000 Liege, Belgium
[12] FRS FNRS, Rue Egmont 5, B-1000 Brussels, Belgium
[13] RHEA European Space Agcy ESA, Camino Bajo Castillo,S-N, Madrid 28692, Spain
[14] Sednai Sarl, 4 Rue Marbiers, CH-1204 Geneva, Switzerland
[15] European Space Agcy ESA, European Space Astron Ctr ESAC, Camino Bajo Castillo,S-N, Madrid 28692, Spain
[16] Univ Libre Bruxelles, Inst Astron & Astrophys, CP 226,Blvd Triomphe, B-1050 Brussels, Belgium
关键词
methods: data analysis; techniques: photometric; methods: numerical; techniques: radial velocities; astrometry; ALGORITHM; STARS; IDENTIFICATION; SEARCH;
D O I
10.1051/0004-6361/202245353
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Context. Gaia Data Release 3 (Gaia DR3) time series data may contain spurious signals related to the time-dependent scan angle. Aims. We aim to explain the origin of scan-angle-dependent signals and how they can lead to spurious periods, provide statistics to identify them in the data, and suggest how to deal with them in Gaia DR3 data and in future releases. Methods. Using real Gaia (DR3) data alongside numerical and analytical models, we visualise and explain the features observed in the data. Results. We demonstrated with Gaia (DR3) data that source structure (multiplicity or extendedness) or pollution from close-by bright objects can cause biases in the image parameter determination from which photometric, astrometric, and (indirectly) radial velocity time series are derived. These biases are a function of the time-dependent scan direction of the instrument and thus can introduce scan-angle-dependent signals, which due to the scanning-law-induced sampling of Gaia can result in specific spurious periodic signals. Numerical simulations in which a period search is performed on Gaia time series with a scan-angle-dependent signal qualitatively reproduce the general structure observed in the spurious period distribution of photometry and astrometry, and the associated spatial distributions on the sky. A variety of statistics allows for the deeper understanding and identification of a ffected sources. Conclusions. The origin of the scan-angle-dependent signals and subsequent spurious periods is well understood and is mostly caused by fixed-orientation optical pairs with a separation <0:500 (including binaries with P >> 5 y) and (cores of) distant galaxies. Although most of the sources with a ffected derived parameters have been filtered out from the Gaia archive nss_two_body_orbit and several vari-tables, Gaia DR3 data remain that should be treated with care (no sources were filtered from gaia_source). Finally, the various statistics discussed in the paper can be used to identify and filter a ffected sources and also reveal new information about them that is not available through other means, especially in terms of binarity on sub-arcsecond scale.
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页数:52
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