Geometrical compression: a new method to enhance the BOSS galaxy bispectrum monopole constraints
| العنوان: | Geometrical compression: a new method to enhance the BOSS galaxy bispectrum monopole constraints |
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| المؤلفون: | Héctor Gil-Marín, Marc Manera, Benjamin Joachimi, Davide Gualdi, Ofer Lahav |
| المساهمون: | Institut Lagrange de Paris, Sorbonne Universités, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU) |
| المصدر: | Mon.Not.Roy.Astron.Soc. Mon.Not.Roy.Astron.Soc., 2019, 484 (1), pp.L29-L34. ⟨10.1093/mnrasl/sly242⟩ Monthly Notices of the Royal Astronomical Society Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2019, 484 (1), pp.L29-L34. ⟨10.1093/mnrasl/sly242⟩ |
| بيانات النشر: | Oxford University Press (OUP), 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, methods: analytical, 0103 physical sciences, Range (statistics), Trigonometric functions, Cluster analysis, 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, methods: statistical, 010308 nuclear & particles physics, Covariance matrix, Mathematical analysis, Astronomy and Astrophysics, methods: data analysis, cosmology: large-scale structure of Universe, Galaxy, Redshift, Space and Planetary Science, cosmology: cosmological parameters, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Bispectrum, Astrophysics - Cosmology and Nongalactic Astrophysics |
| الوصف: | We present a novel method to compress galaxy clustering three-point statistics and apply it to redshift space galaxy bispectrum monopole measurements from BOSS DR12 CMASS data considering a $k$-space range of $0.03-0.12\,h/\mathrm{Mpc}$. The method consists in binning together bispectra evaluated at sets of wave-numbers forming closed triangles with similar geometrical properties: the area, the cosine of the largest angle and the ratio between the cosines of the remaining two angles. This enables us to increase the number of bispectrum measurements for example by a factor of $23$ over the standard binning (from 116 to 2734 triangles used), which is otherwise limited by the number of mock catalogues available to estimate the covariance matrix needed to derive parameter constraints. The $68\%$ credible intervals for the inferred parameters $\left(b_1,b_2,f,\sigma_8\right)$ are thus reduced by $\left(-39\%,-49\%,-29\%,-22\%\right)$, respectively. We find very good agreement with the posteriors recently obtained by alternative maximal compression methods. This new method does not require the a-priori computation of the data-vector covariance matrix and has the potential to be directly applicable to other three-point statistics (e.g. glaxy clustering, weak gravitational lensing, 21 cm emission line) measured from future surveys such as DESI, Euclid, PFS and SKA. Comment: 5 pages, 2 figures, Accepted by MNRAS: Letters |
| تدمد: | 1745-3933 1745-3925 0035-8711 1365-2966 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e664a9f8fe43b9458ce5052a0733d362Test https://doi.org/10.1093/mnrasl/sly242Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e664a9f8fe43b9458ce5052a0733d362 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17453933 17453925 00358711 13652966 |
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