S. Paradiso
A5059343561- Cosmology and Gravitation Theories
- Radio Astronomy Observations and Technology
- Geophysics and Gravity Measurements
- Galaxies: Formation, Evolution, Phenomena
- Astrophysics and Cosmic Phenomena
- Superconducting and THz Device Technology
- Dark Matter and Cosmic Phenomena
- Statistical Methods and Inference
- Solar and Space Plasma Dynamics
- Precipitation Measurement and Analysis
- Scientific Research and Discoveries
- Structural Health Monitoring Techniques
- Climate variability and models
- Algorithms and Data Compression
- Monetary Policy and Economic Impact
- Markov Chains and Monte Carlo Methods
- Particle physics theoretical and experimental studies
- Statistical and numerical algorithms
- Neural Networks and Applications
- Blind Source Separation Techniques
- Model Reduction and Neural Networks
- Soil Geostatistics and Mapping
- Big Data Technologies and Applications
- Gaussian Processes and Bayesian Inference
- Hydrology and Drought Analysis
University of Waterloo
2023-2024
University of Milan
2021-2024
Istituto Nazionale di Fisica Nucleare, Sezione di Milano
2021-2024
University of Helsinki
2022-2023
University of Oslo
2023
National Institute for Astrophysics
2022-2023
Lapland University of Applied Sciences
2023
Helsinki Institute of Physics
2023
Indian Institute of Technology BHU
2023
Banaras Hindu University
2023
We forecast the main cosmological parameter constraints achievable with CORE space mission which is dedicated to mapping polarisation of Cosmic Microwave Background (CMB). was recently submitted in response ESA's fifth call for medium-sized proposals (M5). Here we report results from our pre-submission study impact various instrumental options, particular telescope size and sensitivity level, review great, transformative potential as proposed. Specifically, assess on a broad range...
We describe the computational infrastructure for end-to-end Bayesian CMB analysis implemented by BeyondPlanck collaboration. This code is called commander3, and provides a statistically consistent framework global of microwave observations, may be useful wide range legacy, current, future experiments. The paper has three main goals. Firstly, we provide high-level overview existing base, aiming to guide readers who wish extend adapt according their own needs, or reimplement it from scratch in...
We describe the BeyondPlanck project in terms of motivation, methodology and main products, provide a guide to set companion papers that each result fuller detail. implement complete end-to-end Bayesian analysis framework for Planck LFI observations. The primary product is full joint posterior distribution $P(\omega|d)$, where $\omega$ represents all free instrumental, astrophysical, cosmological parameters. Notable advantages this approach are seamless propagation uncertainties; accurate...
Cosmic birefringence is a parity-violating effect that might have rotated the plane of linearly polarized light cosmic microwave background (CMB) by an angle $β$ since its emission. This has recently been measured to be non-zero at statistical significance $3.6σ$ in official Planck PR4 and 9-year WMAP data. In this work, we constrain using reprocessed BeyondPlanck LFI Cosmoglobe DR1 polarization maps. These novel maps both lower systematic residuals more complete error description than...
We present the intensity foreground algorithms and model employed within BeyondPlanck analysis framework. The is aimed at integrating component separation instrumental parameter sampling a global framework, leading to complete end-to-end error propagation in $Planck$ Low Frequency Instrument (LFI) data analysis. Given scope of analysis, limited set included process, degeneracies. In order properly constrain Galactic parameters, we improve upon previous $\texttt{Commander}$ implementation by...
We present a Bayesian calibration algorithm for CMB observations as implemented within the global end-to-end BeyondPlanck (BP) framework, and apply this to Planck Low Frequency Instrument (LFI) data. Following most recent analysis, we decompose full time-dependent gain into sum of three orthogonal components: One absolute term, common all detectors; one time-independent term that can vary between component is allowed one-hour pointing periods. Each then sampled conditionally on other...
We discuss the treatment of bandpass and beam leakage corrections in Bayesian BeyondPlanck CMB analysis pipeline as applied to Planck LFI measurements. As a preparatory step, we first apply three nominal profiles including removal known systematic effect ground measuring equipment at 61 GHz; smoothing standing wave ripples; edge regularization. The main net impact these modifications is an overall shift 70 GHz +0.6 argue that any data products, either from or BeyondPlanck, should use new...
Abstract To improve the performance of full-shape analyses large-scale structure, we consider using a halo occupation distribution (HOD)-informed prior for effective field theory (EFT) nuisance parameters. We generate 320 000 mock galaxy catalogs 10 sets HOD parameters across 32 simulation boxes with different cosmologies. measure and fit redshift-space power spectra fast emulator EFT model, resulting best-fit parameter distributions are used to create prior. This effectively constrains...
We present the first application of Cosmoglobe analysis framework by analyzing 9-year $\mathit{WMAP}$ time-ordered observations using similar machinery as BeyondPlanck utilizes for $\mathit{Planck}$ LFI. analyze only $\mathit Q$-band (41 GHz) data and report on low-level process from uncalibrated to calibrated maps. Most existing pipeline may be reused with minimal changes codebase. The main modification is implementation same preconditioned biconjugate gradient mapmaker used team. Producing...
We present a Bayesian method for estimating instrumental noise parameters and propagating uncertainties within the global BeyondPlanck Gibbs sampling framework, apply this to Planck Low Frequency Instrument (LFI) time-ordered data. Following previous literature, we initially adopt $1/f$ model power spectral density (PSD), but find need an additional lognormal component in 30 44\,GHz bands. implement optimal Wiener-filter (or constrained realization) gap-filling procedure account masked then...
We present Cosmoglobe Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework builds directly on similar measurements by BeyondPlanck collaboration, approaches CMB challenge through Gibbs sampling global posterior distribution, simultaneously accounting for calibration, mapmaking, component separation. The computational cost producing one complete WMAP+LFI sample is 812 CPU-hr,...
ABSTRACT Despite increasingly precise observations and sophisticated theoretical models, the discrepancy between measurements of H0 from cosmic microwave background or baryon acoustic oscillations combined with big bang nucleosynthesis versus those local distance ladder probes – commonly known as ‘H0 tension’ continues to perplex scientific community. To address this tension, early dark energy (EDE) models have been proposed alternatives Lambda cold matter, they can change observed sound...
To improve the performance of full-shape analyses large-scale structure, we consider using a halo occupation distribution (HOD)-informed prior for effective field theory (EFT) nuisance parameters. We generate 320 000 mock galaxy catalogs 10 sets HOD parameters across 32 simulation boxes with different cosmologies. measure and fit redshift-space power spectra fast emulator EFT model, resulting best-fit parameter distributions are used to create prior. This effectively constrains space,...
We present cosmological parameter constraints as estimated using the Bayesian BeyondPlanck (BP) analysis framework. This method supports seamless end-to-end error propagation from raw time-ordered data to final parameters. As a first demonstration of method, we analyze Planck LFI observations, combined with selected external (WMAP 33-61GHz, HFI DR4 353 and 857GHz, Haslam 408MHz) in form pixelized maps which are used break critical astrophysical degeneracies. Overall, all results generally...
We constrain polarized foreground emission between 30 and 70 GHz with the Planck Low Frequency Instrument (LFI) WMAP data within global Bayesian BeyondPlanck framework. combine for first time full-resolution LFI time-ordered low-resolution sky maps at 33, 40 61 GHz. Spectral parameters are fit a likelihood defined native resolution of each frequency channel. This analysis represents implementation true multi-resolution component separation applied to CMB observations both amplitude spectral...
[Abridged] The measurement of the polarization Cosmic Microwave Background radiation is one current frontiers in cosmology. In particular, detection primordial B-modes, could reveal presence gravitational waves early Universe. such component at moment most promising technique to probe inflationary theory describing very evolution We present updated performance forecast Large Scale Polarization Explorer (LSPE), a program dedicated CMB polarization. LSPE composed two instruments: Strip,...
End-to-end simulations play a key role in the analysis of any high-sensitivity CMB experiment, providing high-fidelity systematic error propagation capabilities unmatched by other means. In this paper, we address an important issue regarding such simulations, namely how to define inputs terms sky model and instrument parameters. These may either be taken as constrained realization derived from data, or random independent data. We refer these Bayesian frequentist respectively. show that two...
We present Planck LFI frequency sky maps derived within the BeyondPlanck framework. This framework draws samples from a global posterior distribution that includes instrumental, astrophysical and cosmological parameters, main product is an entire ensemble of map samples. allows for computationally convenient end-to-end propagation low-level instrumental uncertainties into higher-level science products. show two dominant sources systematic are correlated noise gain fluctuations, products...
We constrained the level of polarized anomalous microwave emission (AME) on large angular scales using Planck Low-Frequency Instrument (LFI) and WMAP polarization data within a Bayesian cosmic background (CMB) analysis framework. modeled synchrotron with power-law spectral energy distribution, as well sum AME thermal dust through linear regression High-Frequency (HFI) 353 GHz data. This template-based model allowed us to constrain while making minimal assumptions its frequency dependence....
We introduce a new formulation of the Conviqt convolution algorithm in terms spin harmonics, and apply this to problem sidelobe correction for BeyondPlanck, first end-to-end Bayesian Gibbs sampling framework CMB analysis. compare our implementation previous Planck LevelS implementation, find good agreement between two codes accuracy, but with speed-up reaching factor 3--10, depending on frequency bandlimits, $l_{\textrm{max}}$ $m_{\textrm{max}}$. The is significantly simpler implement...
The Q&U Bolometric Interferometer for Cosmology (QUBIC) is the first bolometric interferometer designed to measure primordial B-mode polarization of Cosmic Microwave Background (CMB). interferometry a novel technique that combines sensitivity detectors with control systematic effects typical interferometry, both key features in quest faint signal B-modes. A unique feature so-called "spectral imaging", i.e., ability recover sky several sub-bands within physical band during data analysis. This...
Abstract In this paper we describe the global on-sky calibration strategy of LSPE-Strip instrument. Strip is a microwave telescope operating in Q- and W-bands (central frequencies 43 95 GHz respectively) from Observatorio del Teide Tenerife, with goal to observe characterise polarised Galactic foreground emission, complement observations polarisation cosmic background be performed by LSPE-SWIPE instrument other similar experiments at higher target detection B-mode signal inflationary epoch...
Abstract We present a powerful and innovative statistical framework to address key cosmological questions about the universe's fundamental properties, performing Bayesian model averaging (BMA) selection. Utilizing this framework, we systematically explore extensions beyond standard ΛCDM model, considering varying curvature density parameter Ω K , spectral index n s = 1 run constant dark energy equation of state (EOS) w 0 CDM time-dependent one CDM. also assess data against effective number...
We present a Gibbs sampling solution to the map-making problem for CMB measurements, building on existing destriping methodology. breaks computationally heavy into two separate steps; noise filtering and map binning. Considered as steps, both are much cheaper than solving combined problem. This provides huge performance benefit compared traditional methods, allows us first time bring baseline length single sample. apply procedure simulated Planck 30 GHz data. find that gaps in time-ordered...