B. Morin

ORCID: 0000-0001-9291-4413
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Galaxies: Formation, Evolution, Phenomena
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • COVID-19 epidemiological studies
  • Astronomy and Astrophysical Research
  • Cosmology and Gravitation Theories
  • Complex Network Analysis Techniques
  • Evolution and Genetic Dynamics
  • Radio Astronomy Observations and Technology
  • Stellar, planetary, and galactic studies
  • Animal Disease Management and Epidemiology
  • Statistical and numerical algorithms
  • Evolutionary Game Theory and Cooperation
  • Structural Analysis and Optimization
  • Statistical Methods and Inference
  • Railway Engineering and Dynamics
  • Food Supply Chain Traceability
  • Gamma-ray bursts and supernovae
  • Particle physics theoretical and experimental studies
  • Gaussian Processes and Bayesian Inference
  • Stochastic processes and statistical mechanics
  • Food Safety and Hygiene
  • Zoonotic diseases and public health
  • Scientific Research and Discoveries
  • Adaptive optics and wavefront sensing
  • Opinion Dynamics and Social Influence

Centre National de la Recherche Scientifique
2021-2025

Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2021-2025

CEA Paris-Saclay
2006-2025

Université Paris-Saclay
2021-2025

Université Paris Cité
2021-2025

Astrophysique, Instrumentation et Modélisation
2021-2025

Institut de Recherche sur les Lois Fondamentales de l'Univers
2021

Sorbonne Paris Cité
2021

Délégation Paris 7
2021

Vassar College
2016-2020

The science and management of infectious disease are entering a new stage. Increasingly public policy to manage epidemics focuses on motivating people, through social distancing policies, alter their behavior reduce contacts risk. Person-to-person drive human dynamics. People value such willing accept some risk gain contact-related benefits. cost–benefit trade-offs that shape contact behavior, hence the course epidemics, often only implicitly incorporated in epidemiological models. This...

10.1073/pnas.1011250108 article EN Proceedings of the National Academy of Sciences 2011-03-28

We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), fast and accurate predictor for nonlinear correction matter power spectrum. Percent-level emulation is now supported in eight-dimensional parameter space $w_0w_a$CDM$+\sum m_\nu$models between redshift $z=0$ $z=3$ spatial scales within range 0.01 $h$/Mpc $\leq k \leq$ 10 $h$/Mpc. In order to achieve this level accuracy, we have had improve quality underlying N-body simulations used as training data: (1) use...

10.1093/mnras/stab1366 article EN Monthly Notices of the Royal Astronomical Society 2021-05-12

Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding how pathogens emerge, evolve, spread. Classical epidemiological models, standard for predicting managing spread infectious disease, assume that contacts between susceptible individuals depend on their relative frequency population. The behavioral factors underpin contact rates are not generally addressed. There is, however, an emerging a class models addresses...

10.1007/s10393-014-0963-6 article EN cc-by EcoHealth 2014-09-18

Abstract The metamaterial paradigm has allowed an unprecedented space-time control of various physical fields, including elastic and acoustic waves. Despite the wide variety configurations proposed so far, most existing solutions display a frequency response that cannot be tuned, once structures are fabricated. Few exceptions include systems controlled by electric or magnetic temperature, radio waves mechanical stimuli, which may often unpractical for real-world implementations. To overcome...

10.1038/s41467-020-16272-y article EN cc-by Nature Communications 2020-05-22

The dynamics, control, and evolution of communicable vector-borne diseases are intimately connected to the joint dynamics epidemiological, behavioral, mobility processes that operate across multiple spatial, temporal, organizational scales. identification a theoretical explanatory framework accounts for pattern regularity exhibited by large number host-parasite systems, including those sustained host-vector epidemiological is but one challenges facing coevolving fields computational,...

10.1073/pnas.1604994113 article EN Proceedings of the National Academy of Sciences 2016-12-13

We present a tomographic weak lensing analysis of the Kilo Degree Survey Data Release 4 (KiDS-1000), using new pseudo angular power spectrum estimator (pseudo- C ℓ ) under development for ESA Euclid mission. Over 21 million galaxies with shape information are divided into five redshift bins, ranging from 0.1 to 1.2 in photometric redshift. measured pseudo- eight bands multipole range 76 < 1500 auto- and cross-power spectra between bins. A series tests were carried out check systematic...

10.1051/0004-6361/202142481 article EN cc-by Astronomy and Astrophysics 2022-07-05

We aimed to test the hypothesized role of shared body size norms in social contagion and obesity.

10.2105/ajph.2010.300053 article EN American Journal of Public Health 2011-11-09

The susceptible-infected-recovered (SIR) model has greatly evidenced epidemiology despite its apparent simplicity. Most applications of the SIR framework use a form nonlinear incidence to describe number new cases per instant. We adapt theorems analyze stability models with generalized structure. These are then applied case standard and resulting from adaptive behavioral response based on epidemiological-economic theory. When behavior is included in multiple equilibria oscillatory...

10.1111/nrm.12011 article EN Natural Resource Modeling 2013-03-23

In this paper we present the framework for measuring angular power spectra in Euclid mission. The observables galaxy surveys, such as clustering and cosmic shear, are not continuous fields, but discrete sets of data, obtained only at positions galaxies. We show how to compute data sets, without treating observations maps an underlying field that is overlaid with a noise component. This formalism allows us exact theoretical expectations our measured spectra, under number assumptions track...

10.1051/0004-6361/202452018 article EN cc-by Astronomy and Astrophysics 2025-02-01

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines control on galaxy shape parameters offered by analytic models with surface brightness distributions learned from real Hubble Space Telescope observations deep generative models. field of $0.4\,\rm{deg}^2$ as it will be seen visible imager VIS and show that structural are recovered similar accuracy pure S\'ersic profiles. Based these simulations, we estimate Wide Survey...

10.1051/0004-6361/202141393 article EN cc-by Astronomy and Astrophysics 2021-11-23

L ENS MC is a weak lensing shear measurement method developed for Euclid and Stage-IV surveys. It based on forward modelling in order to deal with convolution by point spread function (PSF) comparable size many galaxies, sampling the posterior distribution of galaxy parameters via Markov chain Monte Carlo, marginalisation over nuisance each 1.5 billion galaxies observed . We quantified scientific performance through high-fidelity images Flagship simulations emulation VIS images, realistic...

10.1051/0004-6361/202450617 article EN cc-by Astronomy and Astrophysics 2024-10-14

The problem of who is mixing with whom great theoretical importance in the context heterosexual mixing. In this article, we publish for first time, data from a study carried out 1989 that had goal estimating whom, heterosexually active college populations presence co-factors like drinking. gathering these and challenges involved modelling interaction between among individuals are highlighted manuscript. based on assumptions at least two processes involved: individual affinities or...

10.1080/17513758.2010.510212 article EN Journal of Biological Dynamics 2010-09-01

Upcoming surveys will map the growth of large-scale structure with unprecented precision, improving our understanding dark sector Universe. Unfortunately, much cosmological information is encoded by small scales, where clustering matter and effects astrophysical feedback processes are not fully understood. This can bias estimates parameters, which we study here for a joint analysis mock Euclid cosmic shear Planck microwave background data. We use different implementations modelling signal on...

10.1051/0004-6361/202039835 article EN Astronomy and Astrophysics 2021-04-23

We discuss explicit solutions of the logistic model with variable parameters. Classical data on sunflower seeds growth are revisited as a simple application periodic coefficients. Some applications to related biological systems briefly reviewed.

10.48550/arxiv.1008.2534 preprint EN other-oa arXiv (Cornell University) 2010-01-01
Coming Soon ...