First cosmology results using SNe Ia from the dark energy survey: analysis, systematic uncertainties, and validation

International audienceWe present the analysis underpinning the measurement of cosmological parameters from 207 spectroscopically classified type Ia supernovae (SNe Ia) from the first three years of the Dark Energy Survey Supernova Program (DES-SN), spanning a redshift range of 0.01

First cosmology results using type Ia supernovae from the Dark Energy Survey: constraints on cosmological parameters

We present the first cosmological parameter constraints using measurements of type Ia supernovae (SNe Ia) from the Dark Energy Survey Supernova Program (DES-SN). The analysis uses a subsample of 207 spectroscopically confirmed SNe Ia from the first three years of DES-SN, combined with a low-redshift sample of 122 SNe from the literature. Our "DES-SN3YR" result from these 329 SNe Ia is based on a series of companion analyses and improvements covering SN Ia discovery, spectroscopic selection, photometry, calibration, distance bias corrections, and evaluation of systematic uncertainties. For a flat LCDM model we find a matter density Omega_m = 0.331 +_ 0.038. For a flat wCDM model, and combining our SN Ia constraints with those from the cosmic microwave background (CMB), we find a dark energy equation of state w = -0.978 +_ 0.059, and Omega_m = 0.321 +_ 0.018. For a flat w0waCDM model, and combining probes from SN Ia, CMB and baryon acoustic oscillations, we find w0 = -0.885 +_ 0.114 and wa = -0.387 +_ 0.430. These results are in agreement with a cosmological constant and with previous constraints using SNe Ia (Pantheon, JLA)

Identificação diferencial de Rhodococcus equi e Dietzia maris em bubalinos Differential identification of Rhodococcus equi and Dietzia maris in buffaloes

Foram analisados 24 isolados bacterianos oriundos de leite e pele de búfalas (Bubalus bubalis), os quais foram previamente identificados como Rhodococcus equi com o auxílio de fenotipia concisa. Testes fenotípicos complementares e ferramentas moleculares foram utilizados com o objetivo de caracterizar esses isolados, bem como diferenciá-los de outros microrganismos intimamente relacionados. Observaram-se três fenótipos distintos, porém a identificação dos isolados foi inconclusiva. Apenas um dos isolados foi comprovado como sendo R. equi com a realização da PCR espécie-específica, sequenciamento e análise dos fragmentos de DNA. Os demais isolados só foram identificados pelo sequenciamento de fragmento do gene que codifica a região 16S do rRNA universal de bactérias, indicando tratar-se de Dietzia maris. O perfil de susceptibilidade aos antimicrobianos revelou maior resistência dos isolados de D. maris para oxacilina (96%) e rifampicina (87%). O isolado de R. equi apresentou resistência à amicacina, oxacilina, penicilina, rifampicina e tetraciclina. Alerta-se para o risco da incorreta identificação dos isolados baseados em testes fenotípicos concisos e para a necessidade de utilização de testes complementares para diferenciação entre R. equi e D. maris.<br>Twenty-four bacterial isolates from milk and skin of buffalo females (Bubalus bubalis), which previously had been identified as Rhodococcus equi by using a restricted number of phenotypical tests for bacterial characterization, were analyzed. The goal of this study was to perform the characterization of these isolates, as well as the differentiation of other microorganisms closely related by using additional phenotypical tests and molecular tools. Based on the phenotypical results, three different biotypes were obtained. However, the identification of the isolates was inconclusive. Only one of the isolates was confirmed as R. equi by the PCR specifically for this species, as well DNA sequencing and DNA fragment analysis. All the other isolates only could be precisely identified after the DNA sequencing, and they were characterized as Dietzia maris. The sensitivity profile to antimicrobials demonstrated the highest resistance of D. maris to oxacillin and rifampin, 96% and 87%, respectively. R. equi isolate, presented resistance to amikacin, oxacillin, penicillin, rifampin, and tetracycline. Thus, it is important to alert for the risk of the incorrect identification of the bacterial isolates by using diagnostic analysis based on phenotypical tests in order to differentiate R. equi and D. maris, besides the necessity to use complementary tests for differentiation of these microorganisms

Survey Operations for the Dark Energy Spectroscopic Instrument

International audienceThe Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at $0 < z < 3.5$ covering 14,000 square degrees of the sky. In its first 1.1 years of survey operations, it has observed more than 14 million galaxies and 4 million stars. We describe the processes that govern DESI's observations of the 15,000 fields composing the survey. This includes the planning of each night's observations in the afternoon; automatic selection of fields to observe during the night; real-time assessment of field completeness on the basis of observing conditions during each exposure; reduction, redshifting, and quality assurance of each field of targets in the morning following observation; and updates to the list of future targets to observe on the basis of these results. We also compare the performance of the survey with historical expectations, and find good agreement. Simulations of the weather and of DESI observations using the real field-selection algorithm show good agreement with the actual observations. After accounting for major unplanned shutdowns, the dark time survey is progressing about 7% faster than forecast