Clément Leloup
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Clément Leloup has a total of 153 co-authors. Here are the top co-authors by number of shared publications:
- Josquin Errard
Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France
3 shared publications A. Adler
The Oskar Klein Centre, Department of Physics, Stockholm University, Stockholm SE-106 91, Sweden
2 shared publicationsA. Basyrov
13 Institute of Theoretical Astrophysics, University of Oslo, Blindern, Oslo, Norway
2 shared publicationsA. Carones
28 Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma 00133, Italy
2 shared publicationsA. Coppolecchia
35 Dipartimento di Fisica, Università La Sapienza, Piazzale A. Moro 2, Roma, Italy
2 shared publicationsA. Gruppuso
19 INAF, OAS Bologna, Via Piero Gobetti 93/3, Bologna 40129, Italy
2 shared publications
Latest Publications
- 3 April 2026
- Published by Agence Bibliographique de l'Enseignement Supérieur
Contraintes expérimentales sur des modèles avec champ scalaire léger dans le secteur sombre en cosmologie et physique des particules
Les travaux présentés dans cette thèse contraignent les paramètres d'un modèle de cosmologie, le modèle du galileon, et d'un modèle de physique des particules, le modèle du branon, qui sont des extensions des modèles standards. Ces modèles, qui supposent l'existence d'un champ scalaire additionnel et peuvent trouver leurs origines dans les théories à dimensions supplémentaires, offrent des explications élégantes aux questions de la nature de l'énergie noire et de la matière noire respectivement. La première partie de cette thèse présente les prédictions du modèle du galileon et les résultats obtenus par leur comparaison aux observations cosmologiques et astrophysiques récentes. Cette étude montre que le modèle du galileon a de sérieuses difficultés à reproduire ces observations, qui regroupent le fond diffus cosmologique, les mesures liées aux distances cosmologiques, et l'observation d'un évènement par ondes gravitationnelles et contrepartie électromagnétique. La seconde partie décrit la recherche de branons dans les collisions proton-proton enregistrées en 2016 par le Solénoïde Compact à Muons au Grand Collisionneur de Hadrons, à une énergie dans le centre de masse de 13 TeV. Des évènements qui présentent un jet de haute énergie, produit par un quark ou gluon ou bien par désintégration hadronique d'un boson vecteur, et de l'énergie transverse manquante dans l'état final sont sélectionnés et comparés aux estimations pour les évènements de bruits de fond. Aucun excès d'évènements n'est observé, ce qui permet de poser des contraintes sur les valeurs possibles des paramètres du modèle du branon.
- 3 April 2026
- Published by Agence Bibliographique de l'Enseignement Supérieur
Contraintes expérimentales sur des modèles avec champ scalaire léger dans le secteur sombre en cosmologie et physique des particules
Les travaux présentés dans cette thèse contraignent les paramètres d'un modèle de cosmologie, le modèle du galileon, et d'un modèle de physique des particules, le modèle du branon, qui sont des extensions des modèles standards. Ces modèles, qui supposent l'existence d'un champ scalaire additionnel et peuvent trouver leurs origines dans les théories à dimensions supplémentaires, offrent des explications élégantes aux questions de la nature de l'énergie noire et de la matière noire respectivement. La première partie de cette thèse présente les prédictions du modèle du galileon et les résultats obtenus par leur comparaison aux observations cosmologiques et astrophysiques récentes. Cette étude montre que le modèle du galileon a de sérieuses difficultés à reproduire ces observations, qui regroupent le fond diffus cosmologique, les mesures liées aux distances cosmologiques, et l'observation d'un évènement par ondes gravitationnelles et contrepartie électromagnétique. La seconde partie décrit la recherche de branons dans les collisions proton-proton enregistrées en 2016 par le Solénoïde Compact à Muons au Grand Collisionneur de Hadrons, à une énergie dans le centre de masse de 13 TeV. Des évènements qui présentent un jet de haute énergie, produit par un quark ou gluon ou bien par désintégration hadronique d'un boson vecteur, et de l'énergie transverse manquante dans l'état final sont sélectionnés et comparés aux estimations pour les évènements de bruits de fond. Aucun excès d'évènements n'est observé, ce qui permet de poser des contraintes sur les valeurs possibles des paramètres du modèle du branon.
- 26 August 2025
- Published by American Physical Society (APS) in Physical Review D
- Vol. 112 (4)
Forecasting the performance of the minimally informed foreground cleaning method for CMB polarization observations
- 26 August 2025
- Published by American Physical Society (APS) in Physical Review D
- Vol. 112 (4)
Forecasting the performance of the minimally informed foreground cleaning method for CMB polarization observations
- 20 December 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Applied Superconductivity
- Vol. 35 (5) , 1-5
Experimental Energy Loss Analysis of the SMB-Based Rotation Mechanism Below 10 K
We present the experimental characterization of energy loss in a rotation mechanism using a superconducting magnetic bearing (SMB), designed for the polarimeter of a cosmic microwave background polarization experiment. The design specification aims to achieve mW-level heat dissipation at 5 K with a rotation speed of 46 rpm. We estimated the heat dissipation from the SMB-based rotation mechanism, constructed a loss-mechanism model, and narrowed down the causes of the loss. The results indicate that the loss is predominantly caused by eddy currents in the drive mechanism.
- 20 December 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Applied Superconductivity
- Vol. 35 (5) , 1-5
Experimental Energy Loss Analysis of the SMB-Based Rotation Mechanism Below 10 K
We present the experimental characterization of energy loss in a rotation mechanism using a superconducting magnetic bearing (SMB), designed for the polarimeter of a cosmic microwave background polarization experiment. The design specification aims to achieve mW-level heat dissipation at 5 K with a rotation speed of 46 rpm. We estimated the heat dissipation from the SMB-based rotation mechanism, constructed a loss-mechanism model, and narrowed down the causes of the loss. The results indicate that the loss is predominantly caused by eddy currents in the drive mechanism.
- 14 November 2024
- Published by American Physical Society (APS) in Physical Review D
- Vol. 110 (10)
Pixel domain implementation of the minimally informed CMB map foreground cleaning method
- 14 November 2024
- Published by American Physical Society (APS) in Physical Review D
- Vol. 110 (10)
Pixel domain implementation of the minimally informed CMB map foreground cleaning method
- 1 June 2024
- Published by IOP Publishing in Journal of Cosmology and Astroparticle Physics
- Vol. 2024 (06)
Impact of beam far side-lobe knowledge in the presence of foregrounds for LiteBIRD
We present a study of the impact of a beam far side-lobe lack of knowledge on the measurement of the Cosmic Microwave Background B-mode signal at large scale. Beam far side-lobes induce a mismatch in the transfer function of Galactic foregrounds between the dipole and higher multipoles which degrads the performances of component separation methods. This leads to foreground residuals in the CMB map. It is expected to be one of the main source of systematic effects in future CMB polarization observations. Thus, it becomes crucial for all-sky survey missions to take into account the interplays between beam systematic effects and all the data analysis steps. LiteBIRD is the ISAS/JAXA second strategic large-class satellite mission and is dedicated to target the measurement of CMB primordial B modes by reaching a sensitivity on the tensor-to-scalar ratio r of σ(r) ≤ 10-3 assuming r = 0. The primary goal of this paper is to provide the methodology and develop the framework to carry out the end-to-end study of beam far side-lobe effects for a space-borne CMB experiment. We introduce uncertainties in the beam model, and propagate the beam effects through all the steps of the analysis pipeline, most importantly including component separation, up to the cosmological results in the form of a bias δr. As a demonstration of our framework, we derive requirements on the calibration and modeling for the LiteBIRD's beams under given assumptions on design, simulation, component separation method and allocated error budget. In particular, we assume a parametric method of component separation with no mitigation of the far side-lobes effect at any stage of the analysis pipeline. We show that δr is mostly due to the integrated fractional power difference between the estimated beams and the true beams in the far side-lobes region, with little dependence on the actual shape of the beams, for low enough δr. Under our set of assumptions, in particular considering the specific foreground cleaning method we used, we find that the integrated fractional power in the far side-lobes should be known at the level of ∼ 10-4, to achieve the required limit on the bias δr < 1.9 × 10-5. The framework and tools developed for this study can be easily adapted to provide requirements under different design, data analysis frameworks and for other future space-borne experiments, such as PICO or CMB-Bharat. We further discuss the limitations of this framework and potential extensions to circumvent them.
- 1 June 2024
- Published by IOP Publishing in Journal of Cosmology and Astroparticle Physics
- Vol. 2024 (06)
Impact of beam far side-lobe knowledge in the presence of foregrounds for LiteBIRD
We present a study of the impact of a beam far side-lobe lack of knowledge on the measurement of the Cosmic Microwave Background B-mode signal at large scale. Beam far side-lobes induce a mismatch in the transfer function of Galactic foregrounds between the dipole and higher multipoles which degrads the performances of component separation methods. This leads to foreground residuals in the CMB map. It is expected to be one of the main source of systematic effects in future CMB polarization observations. Thus, it becomes crucial for all-sky survey missions to take into account the interplays between beam systematic effects and all the data analysis steps. LiteBIRD is the ISAS/JAXA second strategic large-class satellite mission and is dedicated to target the measurement of CMB primordial B modes by reaching a sensitivity on the tensor-to-scalar ratio r of σ(r) ≤ 10-3 assuming r = 0. The primary goal of this paper is to provide the methodology and develop the framework to carry out the end-to-end study of beam far side-lobe effects for a space-borne CMB experiment. We introduce uncertainties in the beam model, and propagate the beam effects through all the steps of the analysis pipeline, most importantly including component separation, up to the cosmological results in the form of a bias δr. As a demonstration of our framework, we derive requirements on the calibration and modeling for the LiteBIRD's beams under given assumptions on design, simulation, component separation method and allocated error budget. In particular, we assume a parametric method of component separation with no mitigation of the far side-lobes effect at any stage of the analysis pipeline. We show that δr is mostly due to the integrated fractional power difference between the estimated beams and the true beams in the far side-lobes region, with little dependence on the actual shape of the beams, for low enough δr. Under our set of assumptions, in particular considering the specific foreground cleaning method we used, we find that the integrated fractional power in the far side-lobes should be known at the level of ∼ 10-4, to achieve the required limit on the bias δr < 1.9 × 10-5. The framework and tools developed for this study can be easily adapted to provide requirements under different design, data analysis frameworks and for other future space-borne experiments, such as PICO or CMB-Bharat. We further discuss the limitations of this framework and potential extensions to circumvent them.
- Open Access
Non-parametric maximum likelihood component separation for CMB polarization data
Mitigation of the impact of foreground contributions to measurements of Cosmic Microwave Background (CMB) polarization is a crucial step in modern CMB data analysis and is of particular importance for a detection of large-scale CMB $B$ modes. A large variety of techniques, based on different assumptions and aiming at either a full component separation or merely cleaning the foreground signals from the CMB maps, have been described in the literature. In this work, we consider this problem within a unified framework based on the maximum likelihood principle, under the assumption that the signal at each frequency can be represented as a linear mixture of sky templates. We discuss the impact of various additional assumptions on the final outcome of the procedure. We find that the component separation problem can be fully solved in two specific situations: when we either know the frequency scaling of all the components or can correctly model them with a limited number of unknown parameters, as is the case in the parametric component separation techniques; or when we either know the statistical properties of all the components, the foregrounds and CMB, or can correctly model them with a limited number of parameters, as for instance in SMICA-like approaches. However, we also show that much less stringent assumptions are sufficient if we only aim at recovering the cleaned CMB signal. In particular, we discuss a ``minimally informed'' non-parametric method based on maximum likelihood. The method only assumes that the component properties are independent on the sky direction, at least over some region of the sky, and that the CMB covariance is known up to some limited number of parameters. We apply this method to recover the CMB $B$ modes polarization signal in the context of forthcoming CMB experiments and compare its performance with that of the standard parametric... (abridged)Open AccessNon-parametric maximum likelihood component separation for CMB polarization data
Mitigation of the impact of foreground contributions to measurements of Cosmic Microwave Background (CMB) polarization is a crucial step in modern CMB data analysis and is of particular importance for a detection of large-scale CMB $B$ modes. A large variety of techniques, based on different assumptions and aiming at either a full component separation or merely cleaning the foreground signals from the CMB maps, have been described in the literature. In this work, we consider this problem within a unified framework based on the maximum likelihood principle, under the assumption that the signal at each frequency can be represented as a linear mixture of sky templates. We discuss the impact of various additional assumptions on the final outcome of the procedure. We find that the component separation problem can be fully solved in two specific situations: when we either know the frequency scaling of all the components or can correctly model them with a limited number of unknown parameters, as is the case in the parametric component separation techniques; or when we either know the statistical properties of all the components, the foregrounds and CMB, or can correctly model them with a limited number of parameters, as for instance in SMICA-like approaches. However, we also show that much less stringent assumptions are sufficient if we only aim at recovering the cleaned CMB signal. In particular, we discuss a ``minimally informed'' non-parametric method based on maximum likelihood. The method only assumes that the component properties are independent on the sky direction, at least over some region of the sky, and that the CMB covariance is known up to some limited number of parameters. We apply this method to recover the CMB $B$ modes polarization signal in the context of forthcoming CMB experiments and compare its performance with that of the standard parametric... (abridged) - 29 December 2023
- Published by American Physical Society (APS) in Physical Review D
- Vol. 108 (12) , 123547
Nonparametric maximum likelihood component separation for CMB polarization data
Mitigation of the impact of foreground contributions to measurements of cosmic microwave background (CMB) polarization is a crucial step in modern CMB data analysis and is of particular importance for a detection of large-scale CMB modes. A large variety of techniques, based on different assumptions and aiming at either a full component separation or merely cleaning the foreground signals from the CMB maps, have been described in the literature. In this work, we consider this problem within a unified framework based on the maximum likelihood principle, under the assumption that the signal at each frequency can be represented as a linear mixture of sky templates. We discuss the impact of various additional assumptions on the final outcome of the procedure. We find that the component separation problem can be fully solved in two specific situations: when we either know the frequency scaling of all the components or can correctly model them with a limited number of unknown parameters, as is the case in the parametric component separation techniques; or when we either know the statistical properties of all the components, the foregrounds and CMB, or can correctly model them with a limited number of parameters, as for instance in the spectral matching independent component analysis (SMICA) approach. However, we also show that much less stringent assumptions are sufficient if we only aim at recovering the cleaned CMB signal. In particular, we discuss a “minimally informed” nonparametric method based on maximum likelihood. The method only assumes that the component properties are independent on the sky direction in some, possibly limited, region of the sky and that the CMB covariance is known up to some limited number of parameters. We apply this method to recover the CMB modes polarization signal in the context of forthcoming CMB experiments and compare its performance with that of the standard parametric maximum likelihood approach. We show that the minimally informed method performs as well as the parametric one when the parametric model is correct, and supersedes it when the it is incorrect.- 29 December 2023
- Published by American Physical Society (APS) in Physical Review D
- Vol. 108 (12) , 123547
Nonparametric maximum likelihood component separation for CMB polarization data
Mitigation of the impact of foreground contributions to measurements of cosmic microwave background (CMB) polarization is a crucial step in modern CMB data analysis and is of particular importance for a detection of large-scale CMB modes. A large variety of techniques, based on different assumptions and aiming at either a full component separation or merely cleaning the foreground signals from the CMB maps, have been described in the literature. In this work, we consider this problem within a unified framework based on the maximum likelihood principle, under the assumption that the signal at each frequency can be represented as a linear mixture of sky templates. We discuss the impact of various additional assumptions on the final outcome of the procedure. We find that the component separation problem can be fully solved in two specific situations: when we either know the frequency scaling of all the components or can correctly model them with a limited number of unknown parameters, as is the case in the parametric component separation techniques; or when we either know the statistical properties of all the components, the foregrounds and CMB, or can correctly model them with a limited number of parameters, as for instance in the spectral matching independent component analysis (SMICA) approach. However, we also show that much less stringent assumptions are sufficient if we only aim at recovering the cleaned CMB signal. In particular, we discuss a “minimally informed” nonparametric method based on maximum likelihood. The method only assumes that the component properties are independent on the sky direction in some, possibly limited, region of the sky and that the CMB covariance is known up to some limited number of parameters. We apply this method to recover the CMB modes polarization signal in the context of forthcoming CMB experiments and compare its performance with that of the standard parametric maximum likelihood approach. We show that the minimally informed method performs as well as the parametric one when the parametric model is correct, and supersedes it when the it is incorrect.- Open Access
Impact of beam far side-lobe knowledge in the presence of foregrounds for LiteBIRD
We present a study of the impact of an uncertainty in the beam far side-lobe knowledge on the measurement of the Cosmic Microwave Background $B$-mode signal at large scale. It is expected to be one of the main source of systematic effects in future CMB observations. Because it is crucial for all-sky survey missions to take into account the interplays between beam systematic effects and all the data analysis steps, the primary goal of this paper is to provide the methodology to carry out the end-to-end study of their effect for a space-borne CMB polarization experiment, up to the cosmological results in the form of a bias $δr$ on the tensor-to-scalar ratio $r$. LiteBIRD is dedicated to target the measurement of CMB primordial $B$ modes by reaching a sensitivity of $σ\left( r \right) \leq 10^{-3}$ assuming $r=0$. As a demonstration of our framework, we derive the relationship between the knowledge of the beam far side-lobes and the tentatively allocated error budget under given assumptions on design, simulation and component separation method. We assume no mitigation of the far side-lobes effect at any stage of the analysis pipeline. We show that $δr$ is mostly due to the integrated fractional power difference between the estimated beams and the true beams in the far side-lobes region, with little dependence on the actual shape of the beams, for low enough $δr$. Under our set of assumptions, in particular considering the specific foreground cleaning method we used, we find that the integrated fractional power in the far side-lobes should be known at a level as tight as $\sim 10^{-4}$, to achieve the required limit on the bias $δr < 1.9 \times 10^{-5}$. The framework and tools developed for this study can be easily adapted to provide requirements under different design, data analysis frameworks and for other future space-borne experiments beyond LiteBIRD.Open AccessImpact of beam far side-lobe knowledge in the presence of foregrounds for LiteBIRD
We present a study of the impact of an uncertainty in the beam far side-lobe knowledge on the measurement of the Cosmic Microwave Background $B$-mode signal at large scale. It is expected to be one of the main source of systematic effects in future CMB observations. Because it is crucial for all-sky survey missions to take into account the interplays between beam systematic effects and all the data analysis steps, the primary goal of this paper is to provide the methodology to carry out the end-to-end study of their effect for a space-borne CMB polarization experiment, up to the cosmological results in the form of a bias $δr$ on the tensor-to-scalar ratio $r$. LiteBIRD is dedicated to target the measurement of CMB primordial $B$ modes by reaching a sensitivity of $σ\left( r \right) \leq 10^{-3}$ assuming $r=0$. As a demonstration of our framework, we derive the relationship between the knowledge of the beam far side-lobes and the tentatively allocated error budget under given assumptions on design, simulation and component separation method. We assume no mitigation of the far side-lobes effect at any stage of the analysis pipeline. We show that $δr$ is mostly due to the integrated fractional power difference between the estimated beams and the true beams in the far side-lobes region, with little dependence on the actual shape of the beams, for low enough $δr$. Under our set of assumptions, in particular considering the specific foreground cleaning method we used, we find that the integrated fractional power in the far side-lobes should be known at a level as tight as $\sim 10^{-4}$, to achieve the required limit on the bias $δr < 1.9 \times 10^{-5}$. The framework and tools developed for this study can be easily adapted to provide requirements under different design, data analysis frameworks and for other future space-borne experiments beyond LiteBIRD. - 25 September 2023
- Published by IOP Publishing in Classical and Quantum Gravity
- Vol. 40 (20) , 205014
Instability of the cosmological DBI-Galileon in the non-relativistic limit
The DBI-Galileon model is a scalar-tensor theory of gravity which is defined as the most general theory of the dynamics of a 4D brane embedded in a 5D bulk. It is of particular interest as it introduces only a few free parameters, all with a clear physical meaning, such as the brane tension which is related to the cosmological constant. From the tight constraints on the gravitational waves speed, we are naturally led to consider the non-relativistic limit of the model where the kinetic energy of the brane is small compared to its tension, that we study in the context of late-time cosmology. We show that the Dirac–Born–Infeld-Galileon in the non-relativistic limit is an expansion around General Relativity which can be expressed as a shift-symmetric Horndeski theory. We develop the description of this theory at the background and perturbation level. However, by studying the scalar and tensor perturbations around a flat FLRW background, we find that they contain a ghost degree of freedom leading to a fatal instability of the vacuum for every combination of the free parameters. In order to avoid it in the more general cases of shift-symmetric Horndeski theories, we emphasize which of the Horndeski terms are in competition to produce this instability.
- 25 September 2023
- Published by IOP Publishing in Classical and Quantum Gravity
- Vol. 40 (20) , 205014
Instability of the cosmological DBI-Galileon in the non-relativistic limit
The DBI-Galileon model is a scalar-tensor theory of gravity which is defined as the most general theory of the dynamics of a 4D brane embedded in a 5D bulk. It is of particular interest as it introduces only a few free parameters, all with a clear physical meaning, such as the brane tension which is related to the cosmological constant. From the tight constraints on the gravitational waves speed, we are naturally led to consider the non-relativistic limit of the model where the kinetic energy of the brane is small compared to its tension, that we study in the context of late-time cosmology. We show that the Dirac–Born–Infeld-Galileon in the non-relativistic limit is an expansion around General Relativity which can be expressed as a shift-symmetric Horndeski theory. We develop the description of this theory at the background and perturbation level. However, by studying the scalar and tensor perturbations around a flat FLRW background, we find that they contain a ghost degree of freedom leading to a fatal instability of the vacuum for every combination of the free parameters. In order to avoid it in the more general cases of shift-symmetric Horndeski theories, we emphasize which of the Horndeski terms are in competition to produce this instability.