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Modern Astronomical Surveys for Parameterization of Stars and Interstellar Medium

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019)

Abstract

Developing methods for analyzing and extracting information from modern sky surveys is a challenging task in astrophysical studies and is important for many investigations of galactic and extragalactic objects. We have designed a method for determination of stellar parameters and interstellar extinctions from multicolor photometry. This method was applied to objects drawn from modern large photometric surveys. In this work, we give a review of the surveys and discuss problems of cross-identification, paying particular attention to the information flags contained in the surveys. Also we have determined new statistical relations to estimate the stellar atmospheric parameters using MK spectral classification.

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References

  1. Alam, A., et al.: The eleventh and twelfth data releases of the sloan digital sky survey: final data from SDSS-III. Astrophys. J. Suppl. Ser. 219, 12 (2015). https://doi.org/10.1088/0067-0049/219/1/12

    Article  Google Scholar 

  2. Bailer-Jones, C.A.L., Rybizki, J., Fouesneau, M., Mantelet, G., Andrae, R.: Estimating distance from parallaxes. IV. distances to 1.33 billion stars in gaia data release 2. Astron. J. 156, 58 (2018). https://doi.org/10.3847/1538-3881/aacb21

    Article  Google Scholar 

  3. Barentsen, G., et al.: VizieR online data catalog: IPHAS DR2 source catalogue (Barentsen+, 2014). VizieR Online Data Catalog, 2321 (2014)

    Google Scholar 

  4. Bianchi, L., Shiao, B., Thilker, D.: Revised catalog of GALEX ultraviolet sources. I. The all-sky survey: GUVcat\(\_\)AIS. Astrophys. J. Suppl. Ser. 230, 24 (2017). https://doi.org/10.3847/1538-4365/aa7053

    Article  Google Scholar 

  5. Cardelli, J.A., Clayton, G.C., Mathis, J.S.: The relationship between infrared, optical, and ultraviolet extinction. Astrophys. J. 345, 245–256 (1989). https://doi.org/10.1086/167900

    Article  Google Scholar 

  6. Castelli, F., Kurucz, R.L.: New grids of ATLAS9 model atmospheres. In: Piskunov, N., Weiss, W.W., Gray, D.F. (eds.) Modelling of Stellar Atmospheres, IAU Symposium, vol. 210, p. A20 (2003)

    Google Scholar 

  7. Chambers, K.C., et al.: The Pan-STARRS1 surveys. arXiv e-prints (2016)

    Google Scholar 

  8. Cirasuolo, M.: MOONS consortium: MOONS: a new powerful multi-object spectrograph for the VLT. In: Skillen, I., Balcells, M., Trager, S. (eds.) Multi-Object Spectroscopy in the Next Decade: Big Questions, Large Surveys, and Wide Fields, Astronomical Society of the Pacific Conference Series, vol. 507, p. 109 (2016)

    Google Scholar 

  9. Cutri, R.M., et al.: VizieR online data catalog: 2MASS all-sky catalog of point sources (Cutri+ 2003). VizieR Online Data Catalog, 2246 (2003)

    Google Scholar 

  10. Cutri, R.M., et al.: VizieR online data catalog: AllWISE data release (Cutri+ 2013). VizieR Online Data Catalog, 2328 (2014)

    Google Scholar 

  11. de Jong, R.S., et al.: 4MOST: project overview and information for the first call for proposals. Messenger 175, 3–11 (2019). https://doi.org/10.18727/0722-6691/5117

    Article  Google Scholar 

  12. DENIS Consortium: VizieR online data catalog: the DENIS database (DENIS Consortium, 2005). VizieR Online Data Catalog, 1 (2005)

    Google Scholar 

  13. Drew, J.E., et al.: The VST photometric H\(\alpha \) survey of the southern galactic plane and bulge (VPHAS+). Mon. Not. R. Astron. Soc. 440(3), 2036–2058 (2014). https://doi.org/10.1093/mnras/stu394

    Article  Google Scholar 

  14. Eker, Z., et al.: Interrelated main-sequence mass-luminosity, mass-radius, and mass-effective temperature relations. Mon. Not. R. Astron. Soc. 479, 5491–5511 (2018). https://doi.org/10.1093/mnras/sty1834

    Article  Google Scholar 

  15. Falcón-Barroso, J., et al.: An updated MILES stellar library and stellar population models. Astron. Astrophys. 532, A95 (2011). https://doi.org/10.1051/0004-6361/201116842

    Article  Google Scholar 

  16. Findeisen, K., Hillenbrand, L., Soderblom, D.: Stellar activity in the broadband ultraviolet. Astron. J. 142, 23 (2011). https://doi.org/10.1088/0004-6256/142/1/23

    Article  Google Scholar 

  17. Fitzpatrick, E.L., Massa, D.: An analysis of the shapes of interstellar extinction curves. V. The IR-through-UV curve morphology. Astrophys. J. 663, 320–341 (2007). https://doi.org/10.1086/518158

    Article  Google Scholar 

  18. Fluks, M.A., Plez, B., The, P.S., de Winter, D., Westerlund, B.E., Steenman, H.C.: On the spectra and photometry of M-giant stars. Astron. Astrophys. Suppl. Ser. 105, 311–336 (1994)

    Google Scholar 

  19. Gaia Collaboration, Brown, A.G.A., et al.: Gaia data release 2. Summary of the contents and survey properties. Astron. Astrophys. 616, A1 (2018). https://doi.org/10.1051/0004-6361/201833051

  20. Green, G.M., et al.: A three-dimensional map of milky way dust. Astrophys. J. 810, 25 (2015). https://doi.org/10.1088/0004-637X/810/1/25

    Article  Google Scholar 

  21. Gustafsson, B., Edvardsson, B., Eriksson, K., Jørgensen, U.G., Nordlund, Å., Plez, B.: A grid of MARCS model atmospheres for late-type stars. I. Methods and general properties. Astron. Astrophys. 486, 951–970 (2008). https://doi.org/10.1051/0004-6361:200809724

    Article  Google Scholar 

  22. Ivezić, Ž., et al.: LSST: from science drivers to reference design and anticipated data products. Astrophys. J. 873, 111 (2019). https://doi.org/10.3847/1538-4357/ab042c

    Article  Google Scholar 

  23. Karpov, S.V., Malkov, O.Y., Mironov, A.V.: Cross-identification of large surveys for finding interstellar extinction. Astrophys. Bull. 67, 82–89 (2012). https://doi.org/10.1134/S1990341312010087

    Article  Google Scholar 

  24. Kilpio, E.Y., Malkov, O.Y., Mironov, A.V.: Comparative analysis of modern empirical spectro-photometric atlases with multicolor photometric catalogues. In: Prugniel, P., Singh, H.P. (eds.) Astronomical Society of India Conference Series, vol. 6, p. 31 (2012)

    Google Scholar 

  25. Kraus, A.L., Hillenbrand, L.A.: The stellar populations of praesepe and coma berenices. Astron. J. 134, 2340–2352 (2007). https://doi.org/10.1086/522831

    Article  Google Scholar 

  26. Kunder, A., et al.: The radial velocity experiment (RAVE): fifth data release. Astron. J. 153, 75 (2017). https://doi.org/10.3847/1538-3881/153/2/75

    Article  Google Scholar 

  27. Lallement, R., et al.: Three-dimensional maps of interstellar dust in the local arm: using Gaia, 2MASS, and APOGEE-DR14. Astron. Astrophys. 616, A132 (2018). https://doi.org/10.1051/0004-6361/201832832

    Article  Google Scholar 

  28. Lawrence, A., et al.: The UKIRT infrared deep sky survey (UKIDSS). Mon. Not. R. Astron. Soc. 379, 1599–1617 (2007). https://doi.org/10.1111/j.1365-2966.2007.12040.x

    Article  Google Scholar 

  29. Le Borgne, J.F., et al.: STELIB: a library of stellar spectra at R \(\tilde{}\) 3000. Astron. Astrophys. 402, 433–442 (2003). https://doi.org/10.1051/0004-6361:20030243

    Article  Google Scholar 

  30. Lejeune, T., Cuisinier, F., Buser, R.: Standard stellar library for evolutionary synthesis. I. Calibration of theoretical spectra. Astron. Astrophys. Suppl. Ser. 125, 229–246 (1997). https://doi.org/10.1051/aas:1997373

    Article  Google Scholar 

  31. Luo, A.L., et al.: The first data release (DR1) of the LAMOST regular survey. Res. Astron. Astrophys. 15, 1095 (2015). https://doi.org/10.1088/1674-4527/15/8/002

    Article  Google Scholar 

  32. Luo, A.L., Zhao, Y.H., Zhao, G., et al.: VizieR online data catalog: LAMOST DR5 catalogs (Luo+, 2019). VizieR Online Data Catalog V/164 (2019)

    Google Scholar 

  33. Malkov, O., et al.: Cross catalogue matching with virtual observatory and parametrization of stars. Baltic Astron. 21, 319–330 (2012). https://doi.org/10.1515/astro-2017-0390

    Article  Google Scholar 

  34. Malkov, O., Karpov, S.: Cross-matching large photometric catalogs for parameterization of single and binary stars. In: Evans, I.N., Accomazzi, A., Mink, D.J., Rots, A.H. (eds.) Astronomical Data Analysis Software and Systems XX. Astronomical Society of the Pacific Conference Series, vol. 442, p. 583 (2011)

    Google Scholar 

  35. Malkov, O., et al.: Interstellar extinction from photometric surveys: application to four high-latitude areas. Open Astron. 27, 62–69 (2018). https://doi.org/10.1515/astro-2018-0002

    Article  Google Scholar 

  36. Malkov, O., et al.: Verification of photometric parallaxes with gaia DR2 data. Galaxies 7, 7 (2018). https://doi.org/10.3390/galaxies7010007

    Article  Google Scholar 

  37. Malkov, O., Kilpio, E.: A synthetic map of the galactic interstellar extinction. Astrophys. Space Sci. 280, 115–118 (2002). https://doi.org/10.1023/A:1015526811574

    Article  Google Scholar 

  38. Malkov, O., Mironov, A., Sichevskij, S.: Single-binary star separation by ultraviolet color index diagrams. Astrophys. Space Sci. 335, 105–111 (2011). https://doi.org/10.1007/s10509-011-0613-1

    Article  Google Scholar 

  39. Malkov, O.Y., et al.: Cross-matching of objects in large sky surveys. In: CEUR Workshop Proceedings, vol. 2523, pp. 217–228 (2019)

    Google Scholar 

  40. Malkov, O.Y., Sichevskij, S.G., Kovaleva, D.A.: Parametrization of single and binary stars. Mon. Not. R. Astron. Soc. 401, 695–704 (2010). https://doi.org/10.1111/j.1365-2966.2009.15696.x

    Article  Google Scholar 

  41. Ochsenbein, F., et al.: VOTable: tabular data for the virtual observatory. In: Quinn, P.J., Górski, K.M. (eds.) Toward an International Virtual Observatory. ESO, pp. 118–123. Springer, Heidelberg (2004). https://doi.org/10.1007/10857598_18

    Chapter  Google Scholar 

  42. Parenago, P.P.: On interstellar extinction of light. Astron. Zh. 13, 3 (1940)

    Google Scholar 

  43. Pecaut, M.J., Mamajek, E.E.: Intrinsic colors, temperatures, and bolometric corrections of pre-main-sequence stars. Astrophys. J. Suppl. Ser. 208, 9 (2013). https://doi.org/10.1088/0067-0049/208/1/9

    Article  Google Scholar 

  44. Perlmutter, S., et al.: Measurements of \(\varOmega \) and \(\varLambda \) from 42 high-redshift supernovae. Astrophys. J. 517, 565–586 (1999). https://doi.org/10.1086/307221

    Article  MATH  Google Scholar 

  45. Pickles, A.J.: A stellar spectral flux library: 1150–25000 Å. Publ. Astron. Soc. Pac. 110, 863–878 (1998). https://doi.org/10.1086/316197

    Article  Google Scholar 

  46. Prugniel, P., Soubiran, C., Koleva, M., Le Borgne, D.: New release of the ELODIE library: Version 3.1. arXiv Astrophysics e-prints (2007)

    Google Scholar 

  47. Reis, I., Poznanski, D., Baron, D., Zasowski, G., Shahaf, S.: Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars. Mon. Not. R. Astron. Soc. 476, 2117–2136 (2018). https://doi.org/10.1093/mnras/sty348

    Article  Google Scholar 

  48. Sale, S.E., et al.: A 3D extinction map of the northern Galactic plane based on IPHAS photometry. Mon. Not. R. Astron. Soc. 443, 2907–2922 (2014). https://doi.org/10.1093/mnras/stu1090

    Article  Google Scholar 

  49. Samus’, N.N., Kazarovets, E.V., Durlevich, O.V., Kireeva, N.N., Pastukhova, E.N.: General catalogue of variable stars: version GCVS 5.1. Astron. Rep. 61, 80–88 (2017). https://doi.org/10.1134/S1063772917010085

    Article  Google Scholar 

  50. Schlegel, D.J., Finkbeiner, D.P., Davis, M.: Maps of dust infrared emission for use in estimation of reddening and cosmic microwave background radiation foregrounds. Astrophys. J. 500, 525–553 (1998). https://doi.org/10.1086/305772

    Article  Google Scholar 

  51. Sichevskij, S.G.: Applicability of broad-band photometry for determining the properties of stars and interstellar extinction. Astrophys. Bull. 73, 98–107 (2018). https://doi.org/10.1134/S199034131801008X

    Article  Google Scholar 

  52. Sichevskij, S.G., Mironov, A.V., Malkov, O.Y.: Accuracy of stellar parameters determined from multicolor photometry. Astrophys. Bull. 69, 160–168 (2014). https://doi.org/10.1134/S1990341314020035

    Article  Google Scholar 

  53. Sichevskiy, S.G., Mironov, A.V., Malkov, O.Y.: Classification of stars with WBVR photometry. Astron. Nachr. 334, 832 (2013). https://doi.org/10.1002/asna.201311932

    Article  Google Scholar 

  54. Sichevsky, S., Malkov, O.: Estimating stellar parameters and interstellar extinction from evolutionary tracks. Baltic Astron. 25, 67–74 (2016). https://doi.org/10.1515/astro-2017-0112

    Article  Google Scholar 

  55. Skvortsov, N.A., et al.: Conceptual approach to astronomical problems. Astrophys. Bull. 71(1), 114–124 (2016). https://doi.org/10.1134/S1990341316010120

    Article  Google Scholar 

  56. Smith, D.J.B., et al.: The WEAVE-LOFAR survey. In: Reylé, C., et al. (eds.) SF2A-2016: Proceedings of the Annual Meeting of the French Society of Astronomy and Astrophysics, pp. 271–280 (2016)

    Google Scholar 

  57. Straižys, V.: Multicolor stellar photometry (1992)

    Google Scholar 

  58. Tandon, S.N., et al.: In-orbit calibrations of the ultraviolet imaging telescope. Astron. J. 154, 128 (2017). https://doi.org/10.3847/1538-3881/aa8451

    Article  Google Scholar 

  59. Valdes, F., Gupta, R., Rose, J.A., Singh, H.P., Bell, D.J.: The Indo-US library of Coudé feed stellar spectra. Astrophys. J. Suppl. Ser. 152, 251–259 (2004). https://doi.org/10.1086/386343

    Article  Google Scholar 

  60. Wu, Y., Singh, H.P., Prugniel, P., Gupta, R., Koleva, M.: Coudé-feed stellar spectral library - atmospheric parameters. Astron. Astrophys. 525, A71 (2011). https://doi.org/10.1051/0004-6361/201015014

    Article  Google Scholar 

  61. Yanny, B., et al.: SEGUE: a spectroscopic survey of 240,000 stars with g = 14–20. Astron. J. 137, 4377–4399 (2009). https://doi.org/10.1088/0004-6256/137/5/4377

    Article  Google Scholar 

  62. Zheng, J., et al.: The SAGE photometric survey: technical description. Res. Astron. Astrophys. 18, 147 (2018). https://doi.org/10.1088/1674-4527/18/12/147

    Article  Google Scholar 

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Acknowledgement

We thank our reviewers whose comments greatly helped us to improve the paper. OM thanks the CAS President’s International Fellowship Initiative (PIFI). The work was partly supported by the Russian Foundation for Basic Researches (projects 17-52-45076, 18-07-01434, 19-07-01198) and by DST grant INT/RUS/RFBR/P-265 to JM. S.K. was supported by European Structural and Investment Fund and the Czech Ministry of Education, Youth and Sports (Project CoGraDS – CZ.02.1.01/0.0/0.0/15 003/0000437). The work is partially performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. This research has made use of NASA’s Astrophysics Data System, and use of the VizieR catalogue access tool, CDS, Strasbourg, France.

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Malkov, O. et al. (2020). Modern Astronomical Surveys for Parameterization of Stars and Interstellar Medium. In: Elizarov, A., Novikov, B., Stupnikov, S. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2019. Communications in Computer and Information Science, vol 1223. Springer, Cham. https://doi.org/10.1007/978-3-030-51913-1_8

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