60 research outputs found
Testing synchrotron models and frequency resolution in BINGO 21 cm simulated maps using GNILC
To recover the 21 cm hydrogen line, it is essential to separate the
cosmological signal from the much stronger foreground contributions at radio
frequencies. The BINGO radio telescope is designed to measure the 21 cm line
and detect BAOs using the intensity mapping technique. This work analyses the
performance of the GNILC method, combined with a power spectrum debiasing
procedure. The method was applied to a simulated BINGO mission, building upon
previous work from the collaboration. It compares two different synchrotron
emission models and different instrumental configurations, in addition to the
combination with ancillary data to optimize both the foreground removal and
recovery of the 21 cm signal across the full BINGO frequency band, as well as
to determine an optimal number of frequency bands for the signal recovery. We
have produced foreground emissions maps using the Planck Sky Model, the
cosmological Hi emission maps are generated using the FLASK package and thermal
noise maps are created according to the instrumental setup. We apply the GNILC
method to the simulated sky maps to separate the Hi plus thermal noise
contribution and, through a debiasing procedure, recover an estimate of the
noiseless 21 cm power spectrum. We found a near optimal reconstruction of the
Hi signal using a 80 bins configuration, which resulted in a power spectrum
reconstruction average error over all frequencies of 3%. Furthermore, our tests
showed that GNILC is robust against different synchrotron emission models.
Finally, adding an extra channel with CBASS foregrounds information, we reduced
the estimation error of the 21 cm signal. The optimisation of our previous
work, producing a configuration with an optimal number of channels for binning
the data, impacts greatly the decisions regarding BINGO hardware configuration
before commissioning.Comment: Submitted to A&
The BINGO Project VI: HI Halo Occupation Distribution and Mock Building
BINGO (Baryon Acoustic Oscillations from Integrated Neutral Gas
Observations.) is a radio telescope designed to survey from 980 MHz to 1260
MHz, observe the neutral Hydrogen (HI) 21-cm line and detect BAO (Baryon
Acoustic Oscillation) signal with Intensity Mapping technique. Here we present
our method to generate mock maps of the 21-cm Intensity Mapping signal covering
the BINGO frequency range and related test results. (Abridged)Comment: 16 pages, 20 figures, 1 table. Accepted for publication in A&
The BINGO Project IV: Simulations for mission performance assessment and preliminary component separation steps
The large-scale distribution of neutral hydrogen (HI) in the Universe is
luminous through its 21 cm emission. The goal of the Baryon Acoustic
Oscillations from Integrated Neutral Gas Observations -- BINGO -- radio
telescope is to detect baryon acoustic oscillations (BAOs) at radio frequencies
through 21 cm intensity mapping (IM). The telescope will span the redshift
range 0.127 0.449 with an instantaneous field-of-view of . In this work we investigate different constructive and
operational scenarios of the instrument by generating sky maps as they would be
produced by the instrument. In doing this we use a set of end-to-end IM mission
simulations. The maps will additionally be used to evaluate the efficiency of a
component separation method (GNILC). We have simulated the kind of data that
would be produced in a single-dish IM experiment such as BINGO. According to
the results obtained, we have optimized the focal plane design of the
telescope. In addition, the application of the GNILC method on simulated data
shows that it is feasible to extract the cosmological signal across a wide
range of multipoles and redshifts. The results are comparable with the standard
principal component analysis method.Comment: 16 pages. Version to appear in A&
Data standardization of plant-pollinator interactions
Background: Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results: Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions: The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of terms.Fil: Salim, José A. Universidade de Sao Paulo; BrasilFil: Saraiva, Antonio M.. Universidade de Sao Paulo; BrasilFil: Zermoglio, Paula Florencia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Patagonia Norte. Instituto de Investigaciones En Recursos Naturales, Agroecologia y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones En Recursos Naturales, Agroecologia y Desarrollo Rural.; ArgentinaFil: Agostini, Kayna. Universidade Federal do São Carlos; BrasilFil: Wolowski, Marina. Universidade Federal de Alfenas; BrasilFil: Drucker, Debora P.. Empresa Brasileira de Pesquisa Agropecuaria (embrapa);Fil: Soares, Filipi M.. Universidade de Sao Paulo; BrasilFil: Bergamo, Pedro J.. Jardim Botânico do Rio de Janeiro; BrasilFil: Varassin, Isabela G.. Universidade Federal do Paraná; BrasilFil: Freitas, Leandro. Jardim Botânico do Rio de Janeiro; BrasilFil: Maués, Márcia M.. Empresa Brasileira de Pesquisa Agropecuaria (embrapa);Fil: Rech, Andre R.. Universidade Federal dos Vales do Jequitinhonha e Mucuri; BrasilFil: Veiga, Allan K.. Universidade de Sao Paulo; BrasilFil: Acosta, Andre L.. Instituto Tecnológico Vale; BrasilFil: Araujo, Andréa C. Universidade Federal do Mato Grosso do Sul; BrasilFil: Nogueira, Anselmo. Universidad Federal do Abc; BrasilFil: Blochtein, Betina. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Freitas, Breno M.. Universidade Estadual do Ceará; BrasilFil: Albertini, Bruno C.. Universidade de Sao Paulo; BrasilFil: Maia Silva, Camila. Universidade Federal Rural Do Semi Arido; BrasilFil: Nunes, Carlos E. P.. University of Stirling; BrasilFil: Pires, Carmen S. S.. Empresa Brasileira de Pesquisa Agropecuaria (embrapa);Fil: Dos Santos, Charles F.. Pontificia Universidade Católica do Rio Grande do Sul; BrasilFil: Queiroz, Elisa P.. Universidade de Sao Paulo; BrasilFil: Cartolano, Etienne A.. Universidade de Sao Paulo; BrasilFil: de Oliveira, Favízia F. Universidade Federal da Bahia; BrasilFil: Amorim, Felipe W.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Fontúrbel, Francisco E.. Pontificia Universidad Católica de Valparaíso; ChileFil: da Silva, Gleycon V.. Ministério da Ciência, Tecnologia, Inovações. Instituto Nacional de Pesquisas da Amazônia; BrasilFil: Consolaro, Hélder. Universidade Federal de Catalão; Brasi
Data standardization of plant–pollinator interactions
Background: Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems
and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now
available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological
data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently
not suitable to fully support interaction data sharing.
Results: Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin
Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to
capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML,
and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open
access to standardized data on plant–pollinator interactions.
Conclusions: The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal
distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We
expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator
communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is
flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of termsinfo:eu-repo/semantics/publishedVersio
Report from Working Group 3: Beyond the standard model physics at the HL-LHC and HE-LHC
This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of the High Luminosity (HL) phase of the LHC, defined as ab of data taken at a centre-of-mass energy of 14 TeV, and of a possible future upgrade, the High Energy (HE) LHC, defined as ab of data at a centre-of-mass energy of 27 TeV. We consider a large variety of new physics models, both in a simplified model fashion and in a more model-dependent one. A long list of contributions from the theory and experimental (ATLAS, CMS, LHCb) communities have been collected and merged together to give a complete, wide, and consistent view of future prospects for BSM physics at the considered colliders. On top of the usual standard candles, such as supersymmetric simplified models and resonances, considered for the evaluation of future collider potentials, this report contains results on dark matter and dark sectors, long lived particles, leptoquarks, sterile neutrinos, axion-like particles, heavy scalars, vector-like quarks, and more. Particular attention is placed, especially in the study of the HL-LHC prospects, to the detector upgrades, the assessment of the future systematic uncertainties, and new experimental techniques. The general conclusion is that the HL-LHC, on top of allowing to extend the present LHC mass and coupling reach by on most new physics scenarios, will also be able to constrain, and potentially discover, new physics that is presently unconstrained. Moreover, compared to the HL-LHC, the reach in most observables will, generally more than double at the HE-LHC, which may represent a good candidate future facility for a final test of TeV-scale new physics
Genetic mechanisms of critical illness in COVID-19.
Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 × 10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice
Candidemia em um hospital terciário brasileiro: incidência, freqüência das diferentes espécies, fatores de risco e suscetibilidade aos antifúngicos
Towards a Muon Collider
A muon collider would enable the big jump ahead in energy reach that is
needed for a fruitful exploration of fundamental interactions. The challenges
of producing muon collisions at high luminosity and 10 TeV centre of mass
energy are being investigated by the recently-formed International Muon
Collider Collaboration. This Review summarises the status and the recent
advances on muon colliders design, physics and detector studies. The aim is to
provide a global perspective of the field and to outline directions for future
work.Comment: 118 pages, 103 figure
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