Journal Club

Determination of HII region metallicity in the context of estimating the primordial helium abundance

Europe/Rome
0/0-3 - Sala Rosino (Dipartimento di Fisica e Astronomia - Edificio ex-Rizzato)

0/0-3 - Sala Rosino

Dipartimento di Fisica e Astronomia - Edificio ex-Rizzato

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Description

Speakers: Silvio Di Rosa (UniversitΓ  degli Studi di Padova)

The primordial 4He abundance (Y𝑝) is one of the key characteristics of Primordial Nucleosynthesis processes that occurred in the first minutes after the Big Bang. Its value depends on the baryon/photon ratio πœ‚β‰‘π‘›π‘/𝑛𝛾, and is also sensitive to the relativistic degrees of freedom which affect the expansion rate of the Universe at the radiation-dominated era. At the moment, the most used method of the determination of Y𝑝 is the study of the metal deficient H II regions located in blue compact dwarf galaxies (BCDs). In this paper, we discuss in detail various methods of the determination of H II region metallicity in the context of Y𝑝 analyses. We show that some procedures used in the methods lead to biases in the metallicity estimates and underestimation of their uncertainties. We propose a modified method for the metallicity determination, as well as an additional criterion for selecting objects. We have selected 69 objects (26 objects with high quality spectra from the HeBCD+NIR database and 43 objects from the SDSS catalog), for which we estimate Y and O/H using the proposed method. We have estimated Y𝑝=0.2470Β±0.0020 which is one of the most accurate estimates obtained up to date. Its comparison with the value Y𝑝=0.2470Β±0.0002 obtained as a result of numerical modelling of Primordial Nucleosynthesis with the value of Ω𝑏 taken from the analysis of the CMB anisotropy (Planck mission), is an important tool for studying the self-consistency of the Standard cosmological model (a possible discrepancy between these estimates could be an indicator of a new physics). The application of the proposed method allows one to more correctly estimate Y𝑝 and the slope 𝑑Y/𝑑(O/H). Further analysis of the data from the SDSS catalog can significantly increase the statistics of objects for the regression analysis, which in turn can refine the Y𝑝 estimate.