Cross-correlation analysis of CMB with foregrounds for residuals

Aluri, Pavan K.; Rath, Pranati K.

doi:10.1093/mnras/stw283

Cited by 11 publications

(6 citation statements)

References 64 publications

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“…The extragalactic non-Gaussian contributions, including for example the Sunyaev-Zel'dovich (SZ) and lensing effects, besides point sources (secondary CMB anisotropies), are not relevant for the scales considered. In addition, the Planck Galactic mask used here, termed U73, includes the point-sources mask [14,[23][24][25][26]. In this way, our main goal is to test the efficiency of our estimator to constrain primordial NG in the presence of non-Gaussian foreground contaminations from diverse Galactic emissions.…”

Section: Jcap09(2015)064mentioning

confidence: 99%

A neural-network based estimator to search for primordial non-Gaussianity in Planck CMB maps

Novaes

Bernui

Ferreira

et al. 2015

J. Cosmol. Astropart. Phys.

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Abstract. We present an upgraded combined estimator, based on Minkowski Functionals and Neural Networks, with excellent performance in detecting primordial non-Gaussianity in simulated maps that also contain a weighted mixture of Galactic contaminations, besides real pixel's noise from Planck cosmic microwave background radiation data. We rigorously test the efficiency of our estimator considering several plausible scenarios for residual non-Gaussianities in the foreground-cleaned Planck maps, with the intuition to optimize the training procedure of the Neural Network to discriminate between contaminations with primordial and secondary non-Gaussian signatures. We look for constraints of primordial local non-Gaussianity at large angular scales in the foreground-cleaned Planck maps. For the SMICA map we found f NL = 33 ± 23, at 1σ confidence level, in excellent agreement with the WMAP-9yr and Planck results. In addition, for the other three Planck maps we obtain similar constraints with values in the interval f NL ∈ [33, 41], concomitant with the fact that these maps manifest distinct features in reported analyses, like having different pixel's noise intensities.

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Section: Jcap09(2015)064mentioning

confidence: 99%

A neural-network based estimator to search for primordial non-Gaussianity in Planck CMB maps

Novaes

Bernui

Ferreira

et al. 2015

J. Cosmol. Astropart. Phys.

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“…To study Ser-CARTs, we developed a polymerization method that avoids the control issues and harsh conditions previously reported for oligo(serine ester) synthesis. 30,[33][34][35][36][37] Our procedure benefits from the commercial availability of the N-trityl-L-serine lactone monomer (serine lactone) and an organocatalytic ring-opening polymerization (OROP) [38][39][40][41][42][43] strategy, utilizing a thiourea anion catalyst recently developed for the OROP of lactones and cyclic carbonates (Figure 1). 44 Specifically, we found that the OROP of serine lactone with 1 (3,5bis(trifluoromethyl)phenyl)-3-cyclohexylthiourea (TU) and potassium hydride (KH) in the presence of an alcohol initiator proceeds at room temperature in hours to generate tritylprotected poly(serine esters) 5a−9a with predictable molecular weights (M n = 7−17 kDa) and narrow dispersities (Đ = 1.11−1.24), avoiding the previously reported multimodal distributions (Tables 1 and S1).…”

mentioning

confidence: 99%

Oligo(serine ester) Charge-Altering Releasable Transporters: Organocatalytic Ring-Opening Polymerization and their Use for in Vitro and in Vivo mRNA Delivery

et al. 2019

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RNA technology is transforming life science research and medicine, but many applications are limited by the accessibility, cost, efficacy, and tolerability of delivery systems. Here we report the first members of a new class of dynamic RNA delivery vectors, oligo(serine ester)-based chargealtering releasable transporters (Ser-CARTs). Composed of lipid-containing oligocarbonates and cationic oligo(serine esters), Ser-CARTs are readily prepared (one flask) by a mild ring-opening polymerization using thiourea anions and, upon simple mixing with mRNA, readily form complexes that degrade to neutral serine-based products, efficiently releasing their mRNA cargo. mRNA/Ser-CART transfection efficiencies of >95% are achieved in vitro. Intramuscular or intravenous (iv) injections of mRNA/Ser-CARTs into living mice result in in vivo expression of a luciferase reporter protein, with spleen localization observed after iv injection.Messenger RNA (mRNA) is advancing fundamental research and medicine through its ability to induce the transient catalytic expression of target proteins in vitro, in vivo, and ex vivo. Applications of mRNA include protein replacement therapy, gene editing, vaccination, and cancer immunotherapy. 1 However, the challenge of developing synthetically accessible, affordable, safe, and effective delivery vectors that extracellularly protect and intracellularly release mRNA have hampered applications, driving demand for improved delivery systems. 2,3 Current delivery strategies focus on mechanical methods and viral and nonviral vectors. [4][5][6] Mechanical methods that temporarily render the cellular membrane permeable are limited to accessible tissues and ex vivo techniques, often suffer from poor cell viability, and *

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“…The most accurate current measurements of the CMB temperature fluctuations are part of the third public data release of the Planck collaboration [48], precise data that allow to re-examine many interesting features already reported with diverse CMB data sets [2,[18][19][20][21][22][23][24][25][26][27][28][29][30]51]. Further, CMB products combined with data sets from other cosmological tracers are being used to study models alternative to the flat-ΛCDM model (see, e.g.…”

Section: Datamentioning

confidence: 99%

Excess of lensing amplitude in the Planck CMB power spectrum

Mokeddem

Hipólito-Ricaldi

Bernui

2023

J. Cosmol. Astropart. Phys.

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Precise measurements of the Planck cosmic microwave background (CMB) angular power spectrum (APS) at small angles have stimulated accurate statistical analyses of the lensing amplitude parameter A L. To confirm if it satisfies the value expected by the flat-ΛCDM concordance model, i.e. A L = 1, we investigate the spectrum difference obtained as the difference of the measured Planck CMB APS and the Planck best-fit ΛCDM APS model. To know if this residual spectrum corresponds to statistical noise or if it has a hidden signature that can be accounted for with a larger lensing amplitude A L > 1, we apply the Ljung-Box statistical test and find, with high statistical significance, that the spectrum difference is not statistical noise. This spectrum difference is then analysed in detail using simulated APS, based on the Planck ΛCDM best-fit model, where the lensing amplitude is a free parameter. We explore different binnations of the multipole order ℓ and look for the best-fit lensing amplitude parameter that accounts for the spectrum difference in a χ 2 procedure. We find that there is an excess of signal that is well explained by a ΛCDM APS with a non-null lensing amplitude parameter A lens, with values in the interval [0.10,0.29] at 68% confidence level. Furthermore, the lensing parameter in the Planck APS should be 1 + A lens > 1 at ∼ 3σ of statistical confidence. Additionally, we perform statistical tests that confirm the robustness of this result. Important to say that this excess of lensing amplitude, not accounted in the Planck's flat-ΛCDM model, could have an impact on the theoretical expectation of large-scale structures formation once the scales where it was detected correspond to these matter clustering processes.

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Cross-correlation analysis of CMB with foregrounds for residuals

Cited by 11 publications

References 64 publications

A neural-network based estimator to search for primordial non-Gaussianity in Planck CMB maps

A neural-network based estimator to search for primordial non-Gaussianity in Planck CMB maps

Oligo(serine ester) Charge-Altering Releasable Transporters: Organocatalytic Ring-Opening Polymerization and their Use for in Vitro and in Vivo mRNA Delivery

Excess of lensing amplitude in the Planck CMB power spectrum

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