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General
The Cosmic Microwave Background (CMB) contains the statistical information about the early seeds of the structure formation in our Universe. Its natural counterpart in the local universe is the distribution of galaxies that arises as a result of gravitational growth of those primordial and small density fluctuations. The characterization of the distribution of inhomogeneities at large-scale in the local Universe provides a powerful tool, complementary to the CMB, to determine the origin and the energy content of the Universe, the expansion rate of the Universe during the cosmic history, and the detailed process of formation of the large-scale structures (LSS). The study of the LSS in the coming years will attempt to address the following open questions in cosmology:
What is the dark matter, and which is its detailed contribution to the energy content of the Universe?
What is the dark energy, and how it affects the dynamics of the Universe?
What is the connection between large scale structure and galaxy formation?
Do fundamental constants vary along the history of the Universe?
Is there evidence for primordial non-Gaussianities giving information on the details of the inflationary expansion epoch of the Universe?
In order to contribute to the possible answer to those questions, in this project we will use several large scale structure probes:
The distribution and large-scale clustering of the galaxies, and its evolution with time. The matter power spectrum (P(k)) and the two-point correlation function (ξ(r)) contain certain geometric features associated to some characteristic length-scales in the Universe, as the horizon at matter-radiation equality, or the acoustic horizon at last scattering. In particular, the latter determines the Baryon Acoustic Oscillation (BAO) scale.
The higher order statistics: the three-point statistics characterizes the deviation from Gaussinity and therefore the structure formation through gravitational instability, the galaxy bias, and the primordial non-Gaussianities.
The distribution of the cosmic voids in the Universe. Both the statistics of big voids, as well as the characterization of the void expansion, provides a complementary tool to determine the matter density and the equation of state of the dark energy. Cosmic voids contain information of the higher order statistics of galaxies and can be used to further constrain the BAO scale.
The cosmic web can be used to characterize the formation of structures and relate the large scale structure with galaxy formation processes.
The distribution and abundance of galaxy clusters, as well as the evolution with time. Among other parameters, the cluster mass function depends both on the matter density as well as in the amplitude of the power spectrum. The time evolution of the mass function n(M,z) is also govern by the growth of structures in the Universe, thus being also sensitive to the equation of state of the dark energy.
Members
Results
- eBOSS: cosmological analysis from the quasar sample. Marcos Pellejero Ibañez and F. S. Kitaura participated in the construction of the likelihood and the cosmological parameter estimation (including as coauthors Kitaura & Pellejero Ibañez: 2018MNRAS.473.4773A).
- EUCLID: comparison project of mock galaxy catalogue generating codes showing the accuracy and speed of the PATCHY code (including as coauthors Balaguera-Antolínez, Kitaura & Pellejero Ibañez:https://arxiv.org/abs/1806.09497, https://arxiv.org/abs/1806.09477, https://arxiv.org/abs/1806.09499)
- Development of an accurate Bias mapping method for large scale structure analysis (Balaguera-Antolínez, Kitaura, Pellejero Ibañez et al 2018:https://arxiv.org/abs/1806.05870)
- Presentation of the UNITSIM project to provide simulations for the theoretical model comparison for DESI and EUCLID (including as coauthors Kitaura & Pellejero Ibañez:http://www.unitsims.org/ https://arxiv.org/abs/1811.02111)
- Presentation of BARCODE (Bos, Kitaura & Weygaert 2018: https://arxiv.org/abs/1810.05189, http://adsabs.harvard.edu/abs/2018ascl.soft10002B)
Scientific activity
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LiteBIRD science goals and forecasts. Mapping the hot gas in the UniverseWe assess the capabilities of the LiteBIRD mission to map the hot gas distribution in the Universe through the thermal Sunyaev-Zeldovich (SZ) effect. Our analysis relies on comprehensive simulations incorporating various sources of Galactic and extragalactic foreground emission, while accounting for the specific instrumental characteristics of theRemazeilles, M. et al.
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J-PLUS: The fraction of calcium white dwarfs along the cooling sequenceAims. We used the Javalambre Photometric Local Universe Survey (J-PLUS) second data release (DR2) photometry in 12 optical bands over 2176 deg 2 to estimate the fraction of white dwarfs with the presence of Ca II H+K absorption along the cooling sequence. Methods. We compared the J-PLUS photometry against metal-free theoretical models to estimateLópez-Sanjuan, C. et al.
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J-PLUS: Bayesian object classification with a strum of BANNJOSContext. With its 12 optical filters, the Javalambre-Photometric Local Universe Survey (J-PLUS) provides an unprecedented multicolor view of the local Universe. The third data release (DR3) covers 3192 deg 2 and contains 47.4 million objects. However, the classification algorithms currently implemented in the J-PLUS pipeline are deterministic anddel Pino, A. et al.
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J-PLUS: Beyond Spectroscopy. III. Stellar Parameters and Elemental-abundance Ratios for Five Million Stars from DR3We present a catalog of stellar parameters (effective temperature T eff, surface gravity , age, and metallicity [Fe/H]) and elemental-abundance ratios ([C/Fe], [Mg/Fe], and [α/Fe]) for some five million stars (4.5 million dwarfs and 0.5 million giant stars) in the Milky Way, based on stellar colors from the Javalambre Photometric Local UniverseAngulo, Raul E. et al.
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Fast simulation mapping: From standard to modified gravity cosmologies using the bias assignment methodContext. We assess the effectiveness of a non-parametric bias model in generating mock halo catalogues for modified gravity (MG) cosmologies, relying on the distribution of dark matter from either MG or Λ cold dark matter (ΛCDM) simulations. Aims. We aim to generate halo catalogues that effectively capture the distinct impact of MG, ensuring highGarcía-Farieta, Jorge Enrique et al.
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Galaxy Ages with Redshift z = 2–4: Stellar Population Synthesis for Candidates in FourStar Galaxy Evolution SurveyObservations of large amounts of massive galaxies with relatively old populations found at high redshifts are challenging galaxy formation scenarios within the standard cosmology. Precise determinations of the average age of these galaxies would be useful for the discussion of this problem. Here we carry out a better constraint of the age of 200 VGao, Chong-Yu et al.
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The Negative Baryon Acoustic Oscillation Shift in the Lyα Forest from Cosmological SimulationsWe present the first measurement of the Lyα forest baryon acoustic oscillations (BAO) shift parameter from cosmological simulations. In particular, we generate a suite of 1000 accurate effective field-level bias-based Lyα forest simulations of volume at z = 2, both in real and redshift space, calibrated upon two fixed-and-paired cosmologicalSinigaglia, Francesco et al.
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The hierarchical cosmic web and assembly biasAccurate modeling of galaxy distributions is paramount for cosmological analysis using galaxy redshift surveys. However, this endeavor is often hindered by the computational complexity of resolving the dark matter halos that host these galaxies. To address this challenge, we propose the development of effective assembly bias models down to smallColoma-Nadal, J. M. et al.
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Age of Massive Galaxies at Redshift 8Recent James Webb Space Telescope data analyses have shown that massive red galaxies existed at redshifts z ≳ 6, a discovery that is difficult to understand in the context of standard cosmology (ΛCDM). Here, we analyze these observations more deeply, by fitting a stellar population model to the optical and near-infrared photometric data. These fitsLópez-Corredoira, M. et al.
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The Early Data Release of the Dark Energy Spectroscopic InstrumentThe Dark Energy Spectroscopic Instrument (DESI) completed its 5 month Survey Validation in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute the first major data sample from the DESI survey. This paper describes the public release of those spectra, the catalogs of derived properties, and the intermediate dataDESI Collaboration et al.
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CosmoMIA: cosmic web-based redshift space halo distributionModern galaxy surveys demand extensive survey volumes and resolutions surpassing current dark matter-only simulations' capabilities. To address this, many methods employ effective bias models on the dark matter field to approximate object counts on a grid. However, realistic catalogs necessitate specific coordinates and velocities for aForero Sánchez, D. et al.
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Bayesian deep learning for cosmic volumes with modified gravityContext. The new generation of galaxy surveys will provide unprecedented data that will allow us to test gravity deviations at cosmological scales at a much higher precision than could be achieved previously. A robust cosmological analysis of the large-scale structure demands exploiting the nonlinear information encoded in the cosmic web. MachineGarcía-Farieta, Jorge Enrique et al.
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The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflationWe present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probability distributions (PDZs) obtained independently from each survey. The conflation of the PDZs has several advantages over the usual method of modelling all the photometryHernán-Caballero, A. et al.
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The cosmic web from perturbation theoryContext. Analysing the large-scale structure (LSS) in the Universe with galaxy surveys demands accurate structure formation models. Such models should ideally be fast and have a clear theoretical framework in order to rapidly scan a variety of cosmological parameter spaces without requiring large training data sets. Aims: This study aims to extendKitaura, F. -S. et al.
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32024 -
Validation of the Scientific Program for the Dark Energy Spectroscopic InstrumentThe Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg 2 over 5 yr to constrain the cosmic expansion history through precise measurements of baryon acoustic oscillations (BAO). The scientific program for DESI was evaluated during a 5 month survey validation (SV) campaign before beginning full operationsDESI Collaboration et al.
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J-PLUS: Toward a homogeneous photometric calibration using Gaia BP/RP low-resolution spectraAims: We present the photometric calibration of the 12 optical passbands for the Javalambre Photometric Local Universe Survey (J-PLUS) third data release (DR3) comprising 1642 pointings of two square degrees each. Methods: We selected nearly 1.5 million main sequence stars with a signal-to-noise ratio larger than ten in the 12 J-PLUS passbands andLópez-Sanjuan, C. et al.
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Characterizing the ELG luminosity functions in the nearby UniverseContext. Nebular emission lines are powerful diagnostics for the physical processes at play in galaxy formation and evolution. Moreover, emission-line galaxies (ELGs) are one of the main targets of current and forthcoming spectroscopic cosmological surveys. Aims: We investigate the contributions to the line luminosity functions (LFs) of differentFavole, G. et al.
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Field-level Lyman-α forest modeling in redshift space via augmented nonlocal Fluctuating Gunn-Peterson ApproximationContext. Devising fast and accurate methods of predicting the Lyman-α forest at the field level, avoiding the computational burden of running large-volume cosmological hydrodynamic simulations, is of fundamental importance to quickly generate the massive set of simulations needed by the state-of-the-art galaxy and Lyα forest spectroscopic surveysSinigaglia, F. et al.
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J-PLUS: galaxy-star-quasar classification for DR3The Javalambre Photometric Local Universe Survey (J-PLUS) is a 12-band photometric survey using the 83-cm JAST telescope. Data Release 3 includes 47.4 million sources. J-PLUS DR3 only provides star-galaxy classification so that quasars are not identified from the other sources. Given the size of the data set, machine learning methods could providevon Marttens, R. et al.
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The Hubble tension survey: A statistical analysis of the 2012-2022 measurementsIn order to investigate the potential Hubble tension, we compile a catalogue of 216 measurements of the Hubble-Lemaître constant H 0 between 2012 and 2022, which includes 109 model-independent measurements and 107 ΛCDM model-based measurements. Statistical analyses of these measurements show that the deviations of the results with respect to theWang, Bao et al.
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Related talks
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