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1. Essential elements, conceptual foundations and workflow design in crowd-powered projects.

Author: Celso A. S. Santos, Alessandro M. Baldi, Fábio R. Assis Neto, and Monalessa P. Barcellos
Published: 2023
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2. A Blockchain Approach for eHealth Situation-Aware Data Processing.

Author: Alessandro M. Baldi, Jordano Ribeiro Celestrini, Rodrigo Varejão Andreão, Vinícius F. S. Mota, and Celso A. S. Santos
Published: 2022
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3. Euclid: Identification of asteroid streaks in simulated images using deep learning.

Author: Mikko Pöntinen, Mikael Granvik, Achille A. Nucita, L. Conversi, Bruno Altieri, B. Carry, Conor M. O'Riordan, D. Scott, N. Aghanim, Adam Amara, Luca Amendola, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, Massimo Brescia, S. Camera, Vito Capobianco, C. Carbone, J. Carretero, M. Castellano, Stefano Cavuoti, A. Cimatti, R. Cledassou, Giuseppe Congedo, Y. Copin, L. Corcione, Frédéric Courbin, Mark Cropper, A. Da Silva, Hubert Degaudenzi, J. Dinis, Florian Dubath, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, Marco Frailis, Enrico Franceschi, M. Fumana, S. Galeotta, and et al.
Published: 2023
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4. Crowd-Auto: Locating Theft Vehicles Through Urban Crowdsensing.

Author: Alessandro M. Baldi, Vinícius F. S. Mota, and Celso A. S. Santos
Published: 2020
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5. Flow-Based Situation-Aware Approach for eHealth Data Processing.

Author: Jordano Ribeiro Celestrini, Alessandro M. Baldi, Rodrigo Varejão Andreão, José Gonçalves Pereira Filho, and Celso A. S. Santos
Published: 2020
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6. Competencies based innovative learning solutions for co-development of climate services in West Africa

Author: V. Tarchiani, E. Rapisardi, P. Parrish, E. Di Giuseppe, M. Bacci, M. Baldi, and M. Pasqui
Subjects: Science, Physics, QC1-999, Meteorology. Climatology, QC851-999
Abstract: In developing countries, and particularly in West Africa, the role of Climate Services (CS) for sustainable development is growing thanks to wide spreading collaboration among European institutions, including National Meteorological and Hydrological Services (NMHS) research centers, universities, and homologue local institutions. Operationally, the implementation of CSs in developing countries is mainly pivoted on NMHS, which, according to the World Meteorological Organization (WMO), are dramatically affected by unmet learning demand. The global scale of learning needs for co-development of CSs calls for innovative solutions and a range of flexible modalities to reach learners in a variety of ways, and for sharing resources and successful strategies within the global education and training community. In order to harmonize expected learning outcomes, WMO defined a competency framework (CF) for CSs to be used in the implementation of training initiatives and knowledge sharing tools. This paper presents the strategic and methodological approach adopted in the implementation of the TOPaCS, a new knowledge-based distance learning initiative, aiming to provide a flexible learning environment within the CSs CF of WMO ensuring coherence with other WMO education initiatives (Global Campus, other RTCs, etc.). The methodological approach adopted is based on the competency-based approach to training, where competencies are composed by elements of knowledge and skill. TOPaCS integrates the WMO CF for CSs into a taxonomy co-designed with stakeholders at different levels, and allows the definition of learning paths, which are a further interactive opportunity for co-development of CSs within the TOPaCS learning ecosystem. Indeed, the approach aims also to guide further instructional strategies and assessments and becomes a starting point to build a common language enabling a better cooperation and exchange between the different CSs training initiatives.
Published: 2020
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7. Situations in Simulations: An Initial Appraisal.

Author: Alessandro M. Baldi, Patricia Dockhorn Costa, Eduardo Zambon, and João Paulo A. Almeida
Published: 2018
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8. Learning and teaching about seasonal climate forecasts: a Mediterranean educational experience toward operational climate services

Author: V. Tarchiani, M. Pasqui, P. Parrish, E. Rapisardi, E. Di Giuseppe, and M. Baldi
Subjects: Science, Physics, QC1-999, Meteorology. Climatology, QC851-999
Abstract: During the World Climate Conference-3, Capacity Development has been acknowledged as a transversal component underpinning all the other Pillars of the Global Framework for Climate Services. Within the Mediterranean basin, the interest of climate services based on seasonal climate forecasts is rising because they provide an opportunity for developing a proactive approach towards water management. In 2014, the Regional Training Center (RTC) in Italy, in agreement with World Meteorological Organization (WMO) and member countries of Region I and VI, identified seasonal climate forecasts as a strategic subject of capacity development for the Mediterranean Region. Following design-based research methods, this paper presents the evolution of the training approaches adopted, from classroom lessons to a blend of practical and theoretical classroom and distance learning. This evolution, as well as the rising satisfaction of trainees' expectations encouraged WMO and the RTC to widen the spectrum of beneficiaries and to make the resulting course materials available for other regions and RTCs as a course package. The course package provides essential guidelines to facilitate adoption and adaptation of the course by different institutions and instructors, including those in other WMO Regions, based on regional or institutional learning needs and standards, while also serving the needs of individual learners.
Published: 2019
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9. Euclid : Calibrating photometric redshifts with spectroscopic cross-correlations

Author: K. Naidoo, H. Johnston, B. Joachimi, J. L. van den Busch, H. Hildebrandt, O. Ilbert, O. Lahav, N. Aghanim, B. Altieri, A. Amara, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, J. Dinis, F. Dubath, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, P. Franzetti, M. Fumana, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Kümmel, A. Kiessling, M. Kilbinger, T. Kitching, R. Kohley, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Maurogordato, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, C. Rosset, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, J.-L. Starck, C. Surace, P. Tallada-Crespí, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, M. Wetzstein, A. Zacchei, G. Zamorani, J. Zoubian, S. Andreon, D. Maino, V. Scottez, A. H. Wright, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Paul Painlevé (LPP), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Euclid, Department of Physics, Helsinki Institute of Physics, Naidoo, K., Johnston, H., Joachimi, B., van den Busch, J. L., Hildebrandt, H., Ilbert, O., Lahav, O., Aghanim, N., Altieri, B., Amara, A., Baldi, M., Bender, R., Bodendorf, C., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Dubath, F., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Hornstrup, A., Jahnke, K., Kümmel, M., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Maurogordato, S., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Nakajima, R., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Rosset, C., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Seidel, G., Sirignano, C., Sirri, G., Starck, J. -L., Surace, C., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Weller, J., Wetzstein, M., Zacchei, A., Zamorani, G., Zoubian, J., Andreon, S., Maino, D., Scottez, V., Wright, A. H., K. Naidoo, H. Johnston, B. Joachimi, J. L. van den Busch, H. Hildebrandt, O. Ilbert, O. Lahav, N. Aghanim, B. Altieri, A. Amara, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, J. Dini, F. Dubath, X. Dupac, S. Dusini, S. Farren, S. Ferriol, P. Fosalba, M. Fraili, E. Franceschi, P. Franzetti, M. Fumana, S. Galeotta, B. Garilli, W. Gillard, B. Gilli, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holme, F. Hormuth, A. Hornstrup, K. Jahnke, M. K??mmel, A. Kiessling, M. Kilbinger, T. Kitching, R. Kohley, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Maurogordato, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pire, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhode, G. Riccio, E. Romelli, C. Rosset, E. Rossetti, R. Saglia, D. Sapone, B. Sartori, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, J.-L. Starck, C. Surace, P. Tallada-Cresp??, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusau, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, M. Wetzstein, A. Zacchei, G. Zamorani, J. Zoubian, S. Andreon, D. Maino, V. Scottez, A. H. Wright, European Space Astronomy Centre (ESAC), Agence Spatiale Européenne = European Space Agency (ESA), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (INFN), Istituto Nazionale di Fisica Nucleare (INFN), INAF-IASF Milano, and Istituto Nazionale di Astrofisica (INAF)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, distributions, photometric [Techniques], FOS: Physical sciences, Euclid, Astronomy and Astrophysics, des, 115 Astronomy, Space science, Cosmology, [SDU]Sciences of the Universe [physics], clustering redshifts, Space and Planetary Science, Methods: data analysis, methods: data analysis / techniques: photometric / large-scale structure of Universe, large-scale structure of Universe, data analysis [Methods], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], sdss, Techniques: photometric, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Cosmological constraints from key probes of the Euclid imaging survey rely critically on the accurate determination of the true redshift distributions, $n(z)$, of tomographic redshift bins. We determine whether the mean redshift, $$, of ten Euclid tomographic redshift bins can be calibrated to the Euclid target uncertainties of $\sigma()$ is measured in each tomographic redshift bin to an accuracy of order 0.01 or better. By measuring the clustering redshifts on subsets of the full Flagship area, we construct scaling relations that allow us to extrapolate the method performance to larger sky areas than are currently available in the mock. For the full expected Euclid, BOSS, and DESI overlap region of approximately 6000 deg$^{2}$, the uncertainties attainable by clustering redshifts exceeds the Euclid requirement by at least a factor of three for both $n(z)$ models considered, although systematic biases limit the accuracy. Clustering redshifts are an extremely effective method for redshift calibration for Euclid if the sources of systematic biases can be determined and removed, or calibrated-out with sufficiently realistic simulations. We outline possible future work, in particular an extension to higher redshifts with quasar reference samples., Comment: 14 pages, 8 figures, accepted for publication in A&A
Published: 2023

10. Linking maize yields in Veneto Italy, to large-scale atmospheric variability, circulation regimes and weather types

Author: M. J. Salinger, L. Verdi, A. Dalla Marta, G. Dalu, M. Baldi, G. Messeri, R. Vallorani, M. Morabito, A. Crisci, F. Altobelli, S. Orlandini, B. Gozzini, and A. Messeri
Subjects: Genetics, Animal Science and Zoology, Agronomy and Crop Science
Abstract: This paper describes the relationships between large-scale modes of climate variability and its related weather types with the fluctuations in the yield of maize crops in Veneto, Italy. The teleconnections analysed in this work are the winter North Atlantic Oscillation (NAO) and the summer North Atlantic Oscillation (SNAO); the West African monsoon (WAM) and the Intertropical Front (ITF). Despite that these indices are not rigorously linked to one another, they result in being considerably related to atmospheric circulation regimes and associated weather types. They have an impact on temperature and precipitation patterns in Italy and on yields of maize crops in Veneto, a region located in northeast Italy. Yields are strongly affected by large-scale temperate and tropical variability directly through three main circulation regimes. Troughing weather regimes that produced below average temperatures depress yields over the entire Veneto region, as does the zonal regime that affects rainfall. Results confirm the relevance of large-scale modes and associated weather regimes and types on maize crop yields fluctuations in Veneto.
Published: 2022

11. Euclid: Forecasts from the void-lensing cross-correlation

Author: M. Bonici, C. Carbone, S. Davini, P. Vielzeuf, L. Paganin, V. Cardone, N. Hamaus, A. Pisani, A. J. Hawken, A. Kovacs, S. Nadathur, S. Contarini, G. Verza, I. Tutusaus, F. Marulli, L. Moscardini, M. Aubert, C. Giocoli, A. Pourtsidou, S. Camera, S. Escoffier, A. Caminata, S. Di Domizio, M. Martinelli, M. Pallavicini, V. Pettorino, Z. Sakr, D. Sapone, G. Testera, S. Tosi, V. Yankelevich, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, P. Gómez-Alvarez, B. Garilli, B. Gillis, A. Grazian, F. Grupp, L. Guzzo, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Kümmel, S. Kermiche, A. Kiessling, M. Kilbinger, M. Kunz, H. Kurki-Suonio, R. Laureijs, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, R. Massey, E. Medinaceli, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, S. Pires, G. Polenta, M. Poncet, L. Popa, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, E. Rossetti, R. Saglia, B. Sartoris, M. Scodeggio, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, J.-L. Starck, C. Surace, P. Tallada-Crespí, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Euclid, Bonici M., Carbone C., Davini S., Vielzeuf P., Paganin L., Cardone V., Hamaus N., Pisani A., Hawken A.J., Kovacs A., Nadathur S., Contarini S., Verza G., Tutusaus I., Marulli F., Moscardini L., Aubert M., Giocoli C., Pourtsidou A., Camera S., Escoffier S., Caminata A., Di Domizio S., Martinelli M., Pallavicini M., Pettorino V., Sakr Z., Sapone D., Testera G., Tosi S., Yankelevich V., Amara A., Auricchio N., Baldi M., Bonino D., Branchini E., Brescia M., Brinchmann J., Capobianco V., Carretero J., Castellano M., Cavuoti S., Cledassou R., Congedo G., Conversi L., Copin Y., Corcione L., Courbin F., Cropper M., Da Silva A., Degaudenzi H., Douspis M., Dubath F., Duncan C.A.J., Dupac X., Dusini S., Ealet A., Farrens S., Ferriol S., Fosalba P., Frailis M., Franceschi E., Fumana M., Gomez-Alvarez P., Garilli B., Gillis B., Grazian A., Grupp F., Guzzo L., Haugan S.V.H., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Kummel M., Kermiche S., Kiessling A., Kilbinger M., Kunz M., Kurki-Suonio H., Laureijs R., Ligori S., Lilje P.B., Lloro I., Maiorano E., Mansutti O., Marggraf O., Markovic K., Massey R., Medinaceli E., Melchior M., Meneghetti M., Meylan G., Moresco M., Munari E., Niemi S.M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W.J., Pires S., Polenta G., Poncet M., Popa L., Raison F., Rebolo R., Renzi A., Rhodes J., Rossetti E., Saglia R., Sartoris B., Scodeggio M., Secroun A., Seidel G., Sirignano C., Sirri G., Stanco L., Starck J.-L., Surace C., Tallada-Crespi P., Tavagnacco D., Taylor A.N., Tereno I., Toledo-Moreo R., Torradeflot F., Valentijn E.A., Valenziano L., Wang Y., Weller J., Zamorani G., Zoubian J., Andreon S., Bonici, M., Carbone, C., Vielzeuf, P., Paganin, L., Cardone, V., Hamaus, N., Pisani, A., Hawken, A. J., Kovacs, A., Nadathur, S., Contarini, S., Verza, G., Tutusaus, I., Marulli, F., Moscardini, L., Aubert, M., Giocoli, C., Pourtsidou, A., Camera, S., Escoffier, S., Caminata, A., Martinelli, M., Pallavicini, M., Pettorino, V., Sakr, Z., Sapone, D., Testera, G., Tosi, S., Yankelevich, V., Amara, A., Auricchio, N., Baldi, M., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Fumana, M., Gomez-Alvarez, P., Garilli, B., Gillis, B., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Holmes, W., Hormuth, F., Hornstrup, A., Jahnke, K., Kummel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kunz, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Massey, R., Medinaceli, E., Melchior, M., Meneghetti, M., Meylan, G., Moresco, M., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pires, S., Polenta, G., Poncet, M., Popa, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Rossetti, E., Saglia, R., Sartoris, B., Scodeggio, M., Secroun, A., Seidel, G., Sirignano, C., Sirri, G., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespi, P., Tavagnacco, D., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Wang, Y., Weller, J., Zamorani, G., Zoubian, J., Andreon, S., and Astronomy
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Space and Planetary Science, FOS: Physical sciences, Euclid, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics::Galaxy Astrophysics, gravitational lensing: weak / cosmological parameters / large-scale structure of Universe, Cosmology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Euclid space telescope will survey a large dataset of cosmic voids traced by dense samples of galaxies. In this work we estimate its expected performance when exploiting angular photometric void clustering, galaxy weak lensing and their cross-correlation. To this aim, we implement a Fisher matrix approach tailored for voids from the Euclid photometric dataset and present the first forecasts on cosmological parameters that include the void-lensing correlation. We examine two different probe settings, pessimistic and optimistic, both for void clustering and galaxy lensing. We carry out forecast analyses in four model cosmologies, accounting for a varying total neutrino mass, $M_\nu$, and a dynamical dark energy (DE) equation of state, $w(z)$, described by the CPL parametrisation. We find that void clustering constraints on $h$ and $\Omega_b$ are competitive with galaxy lensing alone, while errors on $n_s$ decrease thanks to the orthogonality of the two probes in the 2D-projected parameter space. We also note that, as a whole, the inclusion of the void-lensing cross-correlation signal improves parameter constraints by $10-15\%$, and enhances the joint void clustering and galaxy lensing Figure of Merit (FoM) by $10\%$ and $25\%$, in the pessimistic and optimistic scenarios, respectively. Finally, when further combining with the spectroscopic galaxy clustering, assumed as an independent probe, we find that, in the most competitive case, the FoM increases by a factor of 4 with respect to the combination of weak lensing and spectroscopic galaxy clustering taken as independent probes. The forecasts presented in this work show that photometric void-clustering and its cross-correlation with galaxy lensing deserve to be exploited in the data analysis of the Euclid galaxy survey and promise to improve its constraining power, especially on $h$, $\Omega_b$, the neutrino mass, and the DE evolution., Comment: 22 pages, 9 figures - published in A&A
Published: 2023

12. KiDS and Euclid

Author: A. Loureiro, L. Whittaker, A. Spurio Mancini, B. Joachimi, A. Cuceu, M. Asgari, B. Stölzner, T. Tröster, A. H. Wright, M. Bilicki, A. Dvornik, B. Giblin, C. Heymans, H. Hildebrandt, H. Shan, A. Amara, N. Auricchio, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, M. Cropper, A. Da Silva, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, M. Kümmel, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, K. Kuijken, M. Kunz, H. Kurki-Suonio, S. Ligori, P.B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, M. Meneghetti, G. Meylan, M. Moresco, B. Morin, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, M. Poncet, L. Popa, F. Raison, J. Rhodes, H. Rix, M. Roncarelli, R. Saglia, P. Schneider, A. Secroun, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, J. L. Starck, P. Tallada-Crespí, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, Y. Wang, N. Welikala, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, M. Baldi, S. Camera, R. Farinelli, G. Polenta, N. Tessore, National Aeronautics and Space Administration (US), European Research Council, European Space Agency, European Commission, Centre National d'Études Spatiales [Toulouse] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), KiDS, Euclid, A. Loureiro, L. Whittaker, A. Spurio Mancini, B. Joachimi, A. Cuceu, M. Asgari, B. St??lzner, T. Tr??ster, A. H. Wright, M. Bilicki, A. Dvornik, B. Giblin, C. Heyman, H. Hildebrandt, H. Shan, A. Amara, N. Auricchio, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, M. Cropper, A. Da Silva, M. Douspi, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farren, S. Ferriol, P. Fosalba, M. Fraili, E. Franceschi, M. Fumana, B. Garilli, B. Gilli, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holme, F. Hormuth, K. Jahnke, M. K??mmel, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, K. Kuijken, M. Kunz, H. Kurki-Suonio, S. Ligori, P.B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, M. Meneghetti, G. Meylan, M. Moresco, B. Morin, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pire, M. Poncet, L. Popa, F. Raison, J. Rhode, H. Rix, M. Roncarelli, R. Saglia, P. Schneider, A. Secroun, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, J. L. Starck, P. Tallada-Cresp??, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, Y. Wang, N. Welikala, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, M. Baldi, S. Camera, R. Farinelli, G. Polenta, N. Tessore, Astronomy, Loureiro, A., Whittaker, L., Spurio Mancini, A., Joachimi, B., Cuceu, A., Asgari, M., Stölzner, B., Tröster, T., Wright, A. H., Bilicki, M., Dvornik, A., Giblin, B., Heymans, C., Hildebrandt, H., Shan, H., Amara, A., Auricchio, N., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Capobianco, V., Carbone, C., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Cropper, M., Da Silva, A., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kümmel, M., Kuijken, K., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Meneghetti, M., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Raison, F., Rhodes, J., Rix, H., Roncarelli, M., Saglia, R., Schneider, P., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Andreon, S., Baldi, M., Camera, S., Farinelli, R., Polenta, G., Tessore, N., Department of Physics, and Helsinki Institute of Physics
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), kilo-degree survey, Large-scale structure of Universe, statistical-analysis, spectroscopic survey measurement, Cosmological parameters, FOS: Physical sciences, 2-point statistics, parameter constraints, Astrophysics::Cosmology and Extragalactic Astrophysics, 114 Physical sciences, Gravitational lensing: weak, dark energy survey, data release, cosmology: observation, weak lensing surveys, Cosmology: observations, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, 115 Astronomy, Space science, galaxy shape measurement, Space and Planetary Science, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], growth-rate, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: A. Loureiro et al., We present a tomographic weak lensing analysis of the Kilo Degree Survey Data Release 4 (KiDS-1000), using a new pseudo angular power spectrum estimator (pseudo-Cℓ) under development for the ESA Euclid mission. Over 21 million galaxies with shape information are divided into five tomographic redshift bins, ranging from 0.1 to 1.2 in photometric redshift. We measured pseudo-Cℓ using eight bands in the multipole range 76, M.A. and T.T. acknowledge support from the European Research Council under grant number 647112. A.H.W. and A.D. acknowledge support from the European Research Council Consolidator Grant (No. 770935). M.B. is supported by the Polish National Science Center through grants no. 2020/38/E/ST9/00395, 2018/30/E/ST9/00698 and 2018/31/G/ST9/03388, and by the Polish Ministry of Science and Higher Education through grant DIR/WK/2018/12. B.G. acknowledges support from the European Research Council under grant number 647112 and from the Royal Society through an Enhancement Award (RGF/EA/181006). C.H. acknowledges support from the European Research Council under grant number 647112, and support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. H. Hildebrandt is supported by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) as well as an ERC Consolidator Grant (No. 770935). H.Y.S. acknowledges the support from NSFC of China under grant 11973070, the Shanghai Committee of Science and Technology grant No. 19ZR1466600 and Key Research Program of Frontier Sciences, CAS, Grant No. ZDBS-LY-7013. The KiDS-1000 data products in this paper are based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme IDs 177.A-3016, 177.A-3017 and 177.A-3018, and on data products produced by Target/OmegaCEN, INAF-OACN, INAF-OAPD and the KiDS production team, on behalf of the KiDS consortium. The authors acknowledge the Euclid Consortium, the European Space Agency, and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the French Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org). Author Contributions: All authors contributed to the development and writing of this paper. The authorship list is given in several groups: the lead authors (A.L., L.W., A.S.M., B.J., A.C.), followed by an alphabetical group that includes those who are key contributors to both the scientific analysis and the KiDS data products, and a further alphabetical group covering those who have either made a significant contribution to the KiDS data products or to the scientific analysis.
Published: 2022

13. MR Micro-Neurography and a Segmentation Protocol Applied to Diabetic Neuropathy

Author: P. F. Felisaz, G. Maugeri, V. Busi, R. Vitale, F. Balducci, S. Gitto, P. Leporati, A. Pichiecchio, M. Baldi, F. Calliada, L. Chiovato, and S. Bastianello
Subjects: Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: The aim of this study was to assess with MRI morphometric ultrastructural changes in nerves affected by diabetic peripheral neuropathy (DPN). We used an MR micro-neurography imaging protocol and a semiautomated technique of tissue segmentation to visualize and measure the volume of internal nerve components, such as the epineurium and nerve fascicles. The tibial nerves of 16 patients affected by DPN and of 15 healthy volunteers were imaged. Nerves volume (NV), fascicles volume (FV), fascicles to nerve ratio (FNR), and nerves cross-sectional areas (CSA) were obtained. In patients with DPN the NV was increased and the FNR was decreased, as a result of an increase of the epineurium (FNR in diabetic neuropathy 0,665; in controls 0,699, p=0,040). CSA was increased in subjects with DPN (12,84 mm2 versus 10,22 mm2, p=0,003). The FV was increased in patients with moderate to severe DPN. We have demonstrated structural changes occurring in nerves affected by DPN, which otherwise are assessable only with an invasive biopsy. MR micro-neurography appears to be suitable for the study of microscopic changes in tibial nerves of diabetic patients.
Published: 2017
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14. Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy

Author: M. S. Cagliari, B. R. Granett, L. Guzzo, M. Bolzonella, L. Pozzetti, I. Tutusaus, S. Camera, A. Amara, N. Auricchio, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, M. Cropper, H. Degaudenzi, M. Douspis, F. Dubath, S. Dusini, A. Ealet, S. Ferriol, N. Fourmanoit, M. Frailis, E. Franceschi, P. Franzetti, B. Garilli, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, H. Hoekstra, W. Holmes, F. Hormuth, P. Hudelot, K. Jahnke, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, M. Kümmel, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, R. Massey, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, M. Poncet, L. Popa, F. Raison, R. Rebolo, J. Rhodes, H.-W. Rix, M. Roncarelli, E. Rossetti, R. Saglia, R. Scaramella, P. Schneider, M. Scodeggio, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, E. A. Valentijn, L. Valenziano, Y. Wang, N. Welikala, J. Weller, G. Zamorani, J. Zoubian, M. Baldi, R. Farinelli, E. Medinaceli, S. Mei, G. Polenta, E. Romelli, T. Vassallo, A. Humphrey, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Cagliari, M. S., Granett, B. R., Guzzo, L., Bolzonella, M., Pozzetti, L., Tutusaus, I., Camera, S., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Capobianco, V., Carbone, C., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Cropper, M., Degaudenzi, H., Douspis, M., Dubath, F., Dusini, S., Ealet, A., Ferriol, S., Fourmanoit, N., Frailis, M., Franceschi, E., Franzetti, P., Garilli, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kummel, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Massey, R., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Poncet, M., Popa, L., Raison, F., Rebolo, R., Rhodes, J., Rix, H. -W., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Scodeggio, M., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Tavagnacco, D., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Valentijn, E. A., Valenziano, L., Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Baldi, M., Farinelli, R., Medinaceli, E., Mei, S., Polenta, G., Romelli, E., Vassallo, T., Humphrey, A., ITA, Department of Physics, Helsinki Institute of Physics, European Space Agency, Academy of Finland, Agenzia Spaziale Italiana, Fundação para a Ciência e a Tecnologia (Portugal), Centre National D'Etudes Spatiales (France), Ministerio de Economía y Competitividad (España), and National Aeronautics and Space Administration (US)
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, data analysis, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 114 Physical sciences, methods, scale, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Galaxies: distances and redshifts, Settore FIS/05 - Astronomia e Astrofisica, Methods: data analysis, galaxies, distances and redshifts [Galaxies], Galaxies: distances and redshift, Large-scale structure of the Universe, distances and redshifts, data analysis [Methods], dark energy survey, Methods: statistical, Astrophysics::Galaxy Astrophysics, Computer Science::Information Retrieval, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, 115 Astronomy, Space science, Space and Planetary Science, complete calibration, statistical, Methods: data analysi, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Euclid Consortium: M. S. Cagliari et al., [Context] The ESA Euclid mission will produce photometric galaxy samples over 15 000 square degrees of the sky that will be rich for clustering and weak lensing statistics. The accuracy of the cosmological constraints derived from these measurements will depend on the knowledge of the underlying redshift distributions based on photometric redshift calibrations., [Aims] A new approach is proposed to use the stacked spectra from Euclid slitless spectroscopy to augment broad-band photometric information to constrain the redshift distribution with spectral energy distribution fitting. The high spectral resolution available in the stacked spectra complements the photometry and helps to break the colour-redshift degeneracy and constrain the redshift distribution of galaxy samples., [Methods] We modelled the stacked spectra as a linear mixture of spectral templates. The mixture may be inverted to infer the underlying redshift distribution using constrained regression algorithms. We demonstrate the method on simulated Vera C. Rubin Observatory and Euclid mock survey data sets based on the Euclid Flagship mock galaxy catalogue. We assess the accuracy of the reconstruction by considering the inference of the baryon acoustic scale from angular two-point correlation function measurements., [Results] We selected mock photometric galaxy samples at redshift z > 1 using the self-organising map algorithm. Considering the idealised case without dust attenuation, we find that the redshift distributions of these samples can be recovered with 0.5% accuracy on the baryon acoustic scale. The estimates are not significantly degraded by the spectroscopic measurement noise due to the large sample size. However, the error degrades to 2% when the dust attenuation model is left free. We find that the colour degeneracies introduced by attenuation limit the accuracy considering the wavelength coverage of Euclid near-infrared spectroscopy., The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft-und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org). This work has made use of CosmoHub. CosmoHub has been developed by the Port d’Informació Científica (PIC), maintained through a collaboration of the Institut de Física d’Altes Energies (IFAE) and the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) and the Institute of Space Sciences (CSIC & IEEC), and was partially funded by the “Plan Estatal de Investigación Científica y Técnica y de Innovación” programme of the Spanish government.
Published: 2022

15. Euclid: Forecast constraints on consistency tests of the ΛCDM model

Author: S. Nesseris, D. Sapone, M. Martinelli, D. Camarena, V. Marra, Z. Sakr, J. Garcia-Bellido, C. J. A. P. Martins, C. Clarkson, A. Da Silva, P. Fleury, L. Lombriser, J. P. Mimoso, S. Casas, V. Pettorino, I. Tutusaus, A. Amara, N. Auricchio, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Farrens, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, S. Kermiche, A. Kiessling, T. Kitching, M. Kümmel, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, M. Poncet, L. Popa, G. D. Racca, F. Raison, J. Rhodes, M. Roncarelli, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, J.-L. Starck, P. Tallada-Crespí, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, N. Welikala, G. Zamorani, J. Zoubian, S. Andreon, M. Baldi, S. Camera, E. Medinaceli, S. Mei, A. Renzi, Nesseris, S., Sapone, D., Martinelli, M., Camarena, D., Marra, V., Sakr, Z., Garcia-Bellido, J., Martins, C. J. A. P., Clarkson, C., Da Silva, A., Fleury, P., Lombriser, L., Mimoso, J. P., Casas, S., Pettorino, V., Tutusaus, I., Amara, A., Auricchio, N., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Capobianco, V., Carbone, C., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kiessling, A., Kitching, T., Kummel, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Poncet, M., Popa, L., Racca, G. D., Raison, F., Rhodes, J., Roncarelli, M., Saglia, R., Sartoris, B., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Starck, J. -L., Tallada-Crespi, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Wang, Y., Welikala, N., Zamorani, G., Zoubian, J., Andreon, S., Baldi, M., Camera, S., Medinaceli, E., Mei, S., Renzi, A., Helsinki Institute of Physics, Department of Physics, Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Euclid, Astronomy, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), Fundación 'la Caixa', Fundação para a Ciência e a Tecnologia (Portugal), European Commission, Swiss National Science Foundation, Science and Technology Facilities Council (UK), and European Space Agency
Subjects: cosmological model, Cosmology: Observations, Dark energy, Large-scale structure of universe, copernican principle, constraint, gr-qc, parametric, Astrophysics::Cosmology and Extragalactic Astrophysics, 114 Physical sciences, General Relativity and Quantum Cosmology, null-test, dark matter, expansion, dark energy survey, cosmological constant, new physics, parametrization, Astronomy and Astrophysics, hep-ph, space, redshift, sensitivity, 115 Astronomy, Space science, current, High Energy Physics - Phenomenology, observations, homogeneity, Space and Planetary Science, constant, Cosmology: Observation, cosmology: observations, [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc], astro-ph.CO, baryon acoustic-oscillations, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], cosmology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Euclid Consortium: S. Nesseris et al., [Context] The standard cosmological model is based on the fundamental assumptions of a spatially homogeneous and isotropic universe on large scales. An observational detection of a violation of these assumptions at any redshift would immediately indicate the presence of new physics., [Aims] We quantify the ability of the Euclid mission, together with contemporary surveys, to improve the current sensitivity of null tests of the canonical cosmological constant Λ and the cold dark matter (ΛCDM) model in the redshift range 0, [Methods] We considered both currently available data and simulated Euclid and external data products based on a ΛCDM fiducial model, an evolving dark energy model assuming the Chevallier-Polarski-Linder parameterization or an inhomogeneous Lemaître-Tolman-Bondi model with a cosmological constant Λ, and carried out two separate but complementary analyses: a machine learning reconstruction of the null tests based on genetic algorithms, and a theory-agnostic parametric approach based on Taylor expansion and binning of the data, in order to avoid assumptions about any particular model., [Results] We find that in combination with external probes, Euclid can improve current constraints on null tests of the ΛCDM by approximately a factor of three when using the machine learning approach and by a further factor of two in the case of the parametric approach. However, we also find that in certain cases, the parametric approach may be biased against or missing some features of models far from ΛCDM., [Conclusions] Our analysis highlights the importance of synergies between Euclid and other surveys. These synergies are crucial for providing tighter constraints over an extended redshift range for a plethora of different consistency tests of some of the main assumptions of the current cosmological paradigm., J.G.B., M.M. and S.N. acknowledge support from the research project PGC2018-094773-B-C32, and the Centro de Excelencia Severo Ochoa Program SEV-2016-059. S.N. also acknowledges support from the Ramón y Cajal program through Grant No. RYC-2014-15843. M.M. also received support from “la Caixa” Foundation (ID 100010434), with fellowship code LCF/BQ/PI19/11690015. D.S. acknowledges financial support from the Fondecyt Regular project number 1200171. The work of CJM was financed by FEDER – Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 – Operational Programme for Competitiveness and Internationalisation (POCI), and by Portuguese funds through FCT – Fundação para a Ciência e a Tecnologia in the framework of the project POCI-01-0145-FEDER-028987. D.C. thanks CAPES for financial support. V.M. thanks CNPq and FAPES for partial financial support. L.L. was supported by a Swiss National Science Foundation (SNSF) Professorship grant (No. 170547). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 888258. C.C. is supported by the UK Science and Technology Facilities Council (STFC) Consolidated Grant ST/P000592/1. A.dS. acknowledges support from the Fundação para a Ciência e a Tecnologia (FCT) through the Investigador FCT Contract No. IF/01135/2015 and POCH/FSE (EC) and in the form of an exploratory project with the same reference. J.P.M. and A.dS. acknowledge support from FCT Projects with references EXPL/FIS-AST/1368/2021, PTDC/FIS-AST/0054/2021, UIDB/04434/2020, UIDP/04434/2020, CERN/FIS-PAR/0037/2019, PTDC/FIS-OUT/29048/2017. Z.S. acknowledges support from the IRAP and IN2P3 Lyon computing centers. P.F. received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/PI19/11690018. I.T. acknowledges support from the Spanish Ministry of Science, Innovation and Universities through grant ESP2017-89838, and the H2020 programme of the European Commission through grant 776247. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft-und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency.
Published: 2022

16. Floods and climate: emerging perspectives for flood risk assessment and management

Author: B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Subjects: Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Flood estimation and flood management have traditionally been the domain of hydrologists, water resources engineers and statisticians, and disciplinary approaches abound. Dominant views have been shaped; one example is the catchment perspective: floods are formed and influenced by the interaction of local, catchment-specific characteristics, such as meteorology, topography and geology. These traditional views have been beneficial, but they have a narrow framing. In this paper we contrast traditional views with broader perspectives that are emerging from an improved understanding of the climatic context of floods. We come to the following conclusions: (1) extending the traditional system boundaries (local catchment, recent decades, hydrological/hydraulic processes) opens up exciting possibilities for better understanding and improved tools for flood risk assessment and management. (2) Statistical approaches in flood estimation need to be complemented by the search for the causal mechanisms and dominant processes in the atmosphere, catchment and river system that leave their fingerprints on flood characteristics. (3) Natural climate variability leads to time-varying flood characteristics, and this variation may be partially quantifiable and predictable, with the perspective of dynamic, climate-informed flood risk management. (4) Efforts are needed to fully account for factors that contribute to changes in all three risk components (hazard, exposure, vulnerability) and to better understand the interactions between society and floods. (5) Given the global scale and societal importance, we call for the organization of an international multidisciplinary collaboration and data-sharing initiative to further understand the links between climate and flooding and to advance flood research.
Published: 2014
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17. The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning

Author: L. Cabayol, M. Eriksen, J. Carretero, R. Casas, F. J. Castander, E. Fernández, J. Garcia-Bellido, E. Gaztanaga, H. Hildebrandt, H. Hoekstra, B. Joachimi, R. Miquel, C. Padilla, A. Pocino, E. Sanchez, S. Serrano, I. Sevilla, M. Siudek, P. Tallada-Crespí, N. Aghanim, A. Amara, N. Auricchio, M. Baldi, R. Bender, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, P. Fosalba, M. Frailis, E. Franceschi, P. Franzetti, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnke, M. Kümmel, S. Kermiche, A. Kiessling, M. Kilbinger, R. Kohley, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Mei, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, J. Rhodes, G. Riccio, C. Rosset, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. Valentijn, L. Valenziano, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, V. Scottez, A. Tramacere, UAM. Departamento de Física Teórica, Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Centre National d'Études Spatiales [Toulouse] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Euclid, HEP, INSPIRE, Department of Physics, and Helsinki Institute of Physics
Subjects: data analysis, surveys, methods, techniques, image processing, photometric, observational, Surveys, Methods: Data Analysis, Techniques: Image Processing, Methods: Observational, image processing [Techniques], observational [Methods], [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], data analysis [Methods], photometric [Techniques], Techniques: Photometric, Física, Astronomy and Astrophysics, 115 Astronomy, Space science, Astrophysics - Astrophysics of Galaxies, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Space and Planetary Science, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Artículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboración, si lo hubiere, Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is needed to advance our understanding of cosmology. In this paper we explore how the synergies between narrow-band photometric data and large imaging surveys can be exploited to improve broadband photometric redshifts. We used a multi-task learning (MTL) network to improve broadband photo-z estimates by simultaneously predicting the broadband photo-z and the narrow-band photometry from the broadband photometry. The narrow-band photometry is only required in the training field, which also enables better photo-z predictions for the galaxies without narrow-band photometry in the wide field. This technique was tested with data from the Physics of the Accelerating Universe Survey (PAUS) in the COSMOS field. We find that the method predicts photo-zs that are 13% more precise down to magnitude iAB < 23; the outlier rate is also 40% lower when compared to the baseline network. Furthermore, MTL reduces the photo-z bias for high-redshift galaxies, improving the redshift distributions for tomographic bins with z > 1. Applying this technique to deeper samples is crucial for future surveys such as Euclid or LSST. For simulated data, training on a sample with iAB < 23, the method reduces the photo-z scatter by 16% for all galaxies with iAB < 25. We also studied the effects of extending the training sample with photometric galaxies using PAUS high-precision photo-zs, which reduces the photo-z scatter by 20% in the COSMOS field, The PAU Survey is partially supported by MINECO under grants CSD2007-00060, AYA2015-71825, ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509, PID2019-111317GB-C31 and Juan de la Cierva fellowship and LACEGAL and EWC Marie Sklodowska-Curie grant No 734374 and no.776247 with ERDF funds from the EU Horizon 2020 Programme, some of which include ERDF funds from the European Union. IEEC and IFAE are partially funded by the CERCA and Beatriu de Pinos program of the Generalitat de Catalunya. Funding for PAUS has also been provided by Durham University (via the ERC StG DEGAS-259586), ETH Zurich, Leiden University (via ERC StG ADULT279396 and Netherlands Organisation for Scientific Research (NWO) Vici grant 639.043.512), Bochum University (via a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) as well as an ERC Consolidator Grant (No. 770935)), University College London, Portsmouth support through the Royal Society Wolfson fellowship and from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 776247 EWC. The results published were also funded by the Polish National Agency for Academic Exchange (Bekker grant BPN/BEK/2021/1/00298/DEC/1), the European Union’s Horizon 2020 research and innovation programme under the Maria Skłodowska-Curie (grant agreement No 754510) and by the Spanish Ministry of Science and Innovation through Juan de la Cierva-formacion program (reference FJC2018-038792-I)
Published: 2023

18. Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

Author: N. Hamaus, M. Aubert, A. Pisani, S. Contarini, G. Verza, M.-C. Cousinou, S. Escoffier, A. Hawken, G. Lavaux, G. Pollina, B. D. Wandelt, J. Weller, M. Bonici, C. Carbone, L. Guzzo, A. Kovacs, F. Marulli, E. Massara, L. Moscardini, P. Ntelis, W. J. Percival, S. Radinović, M. Sahlén, Z. Sakr, A. G. Sánchez, H. A. Winther, N. Auricchio, S. Awan, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, V. Capobianco, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, P. Franzetti, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, M. Kümmel, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Marggraf, K. Markovic, R. Massey, S. Maurogordato, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, M. Poncet, L. Popa, L. Pozzetti, R. Rebolo, J. Rhodes, H. Rix, M. Roncarelli, E. Rossetti, R. Saglia, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, J.-L. Starck, P. Tallada-Crespí, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, N. Welikala, G. Zamorani, J. Zoubian, S. Andreon, M. Baldi, S. Camera, S. Mei, C. Neissner, E. Romelli, Hamaus, N., Aubert, M., Pisani, A., Contarini, S., Verza, G., Cousinou, M. -C., Escoffier, S., Hawken, A., Lavaux, G., Pollina, G., Wandelt, B. D., Weller, J., Bonici, M., Carbone, C., Guzzo, L., Kovacs, A., Marulli, F., Massara, E., Moscardini, L., Ntelis, P., Percival, W. J., Radinovic, S., Sahlen, M., Sakr, Z., Sanchez, A. G., Winther, H. A., Auricchio, N., Awan, S., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Cropper, M., Da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kummel, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Marggraf, O., Markovic, K., Massey, R., Maurogordato, S., Melchior, M., Meneghetti, M., Meylan, G., Moresco, M., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Rebolo, R., Rhodes, J., Rix, H., Roncarelli, M., Rossetti, E., Saglia, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Starck, J. -L., Tallada-Crespi, P., Tavagnacco, D., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Wang, Y., Welikala, N., Zamorani, G., Zoubian, J., Andreon, S., Baldi, M., Camera, S., Mei, S., Neissner, C., Romelli, E., Department of Physics, Helsinki Institute of Physics, Universitats-Sternwarte [München], Ludwig-Maximilians-Universität München (LMU), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Department of Astrophysical Sciences [Princeton], Princeton University, Dipartimento di Fisica e Astronomia [Bologna], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (INFN, Sezione di Bologna), Istituto Nazionale di Fisica Nucleare (INFN), INAF - Osservatorio Astronomico di Bologna (OABO), Istituto Nazionale di Astrofisica (INAF), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (INFN, Sezione di Padova), Dipartimento di Fisica e Astronomia 'Galileo Galilei', Università degli Studi di Padova = University of Padua (Unipd), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Istituto Nazionale di Fisica Nucleare, Sezione di Genova (INFN, Sezione di Genova), Università degli studi di Genova = University of Genoa (UniGe), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (INFN), INAF-IASF Milano, INAF - Osservatorio Astronomico di Brera (OAB), Università degli Studi di Milano = University of Milan (UNIMI), Universidad de La Laguna [Tenerife - SP] (ULL), Instituto de Astrofisica de Canarias (IAC), University of Bologna/Università di Bologna, University of Waterloo [Waterloo], Department of Physics and Astronomy [Waterloo], Perimeter Institute for Theoretical Physics [Waterloo], Institute of Theoretical Astrophysics [Oslo], University of Oslo (UiO), Swedish Collegium for Advanced Study [Uppsala], Uppsala University, Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Unité de Recherche Environnement, Génomique Fonctionnelle et Études Mathématiques [Beyrouth] (UR-EGFEM), Université Saint-Joseph de Beyrouth (USJ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National d'Études Spatiales [Toulouse] (CNES), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Observatoire de la Côte d'Azur (OCA), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), ANR-16-CE23-0002,BIG4,Grosses données, Grosses simulations, Big Bang et Grands problèmes: Algorithes de reconstruction bayésiennes contraintes par la physique et application à l'analyse de données cosmologiques(2016), Agence Nationale de la Recherche (France), German Research Foundation, European Space Agency, National Aeronautics and Space Administration (US), Agenzia Spaziale Italiana, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Universita degli Studi di Padova, Universita degli studi di Genova, Università degli Studi di Milano [Milano] (UNIMI), Università di Bologna Dipartimento di Fisca e Astronomia, INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, University of Bologna, Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), and Astronomy
Subjects: Void (astronomy), Methods: data analysis / surveys, Cosmological parameter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Cosmological parameters, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, 01 natural sciences, Cosmology: observations, Dark energy, Methods: data analysis, 114 Physical sciences, Cosmology: observation, Cosmology, Redshift-space distortions, real-space, 0103 physical sciences, Dark matter, Large-scale structure of the Universe, luminosity function, observations [Cosmology], data analysis [Methods], 010303 astronomy & astrophysics, dark energy survey, Physics, survey cosmological implications, galaxy troughs, density, COSMIC cancer database, 010308 nuclear & particles physics, Angular diameter distance, Astronomy and Astrophysics, oscillation spectroscopic survey, 115 Astronomy, Space science, Redshift, Galaxy, matter, gravity, Space and Planetary Science, gravitational-instability, Astrophysics - Cosmology and Nongalactic Astrophysics, Methods: data analysi
Abstract: Euclid Consortium: N. Hamaus et al., Euclid is poised to survey galaxies across a cosmological volume of unprecedented size, providing observations of more than a billion objects distributed over a third of the full sky. Approximately 20 million of these galaxies will have their spectroscopy available, allowing us to map the three-dimensional large-scale structure of the Universe in great detail. This paper investigates prospects for the detection of cosmic voids therein and the unique benefit they provide for cosmological studies. In particular, we study the imprints of dynamic (redshift-space) and geometric (Alcock–Paczynski) distortions of average void shapes and their constraining power on the growth of structure and cosmological distance ratios. To this end, we made use of the Flagship mock catalog, a state-of-the-art simulation of the data expected to be observed with Euclid. We arranged the data into four adjacent redshift bins, each of which contains about 11 000 voids and we estimated the stacked void-galaxy cross-correlation function in every bin. Fitting a linear-theory model to the data, we obtained constraints on f/b and DMH, where f is the linear growth rate of density fluctuations, b the galaxy bias, DM the comoving angular diameter distance, and H the Hubble rate. In addition, we marginalized over two nuisance parameters included in our model to account for unknown systematic effects in the analysis. With this approach, Euclid will be able to reach a relative precision of about 4% on measurements of f/b and 0.5% on DMH in each redshift bin. Better modeling or calibration of the nuisance parameters may further increase this precision to 1% and 0.4%, respectively. Our results show that the exploitation of cosmic voids in Euclid will provide competitive constraints on cosmology even as a stand-alone probe. For example, the equation-of-state parameter, w, for dark energy will be measured with a precision of about 10%, consistent with previous more approximate forecasts., NH, GP and JW are supported by the Excellence Cluster ORIGINS, which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2094 – 390783311. MA, MCC and SE are supported by the eBOSS ANR grant (under contract ANR-16-CE31-0021) of the French National Research Agency, the OCEVU LABEX (Grant No. ANR-11-LABX-0060) and the A*MIDEX project (Grant No. ANR-11-IDEX-0001-02) funded by the Investissements d’Avenir French government program, and by CNES, the French National Space Agency. AP is supported by NASA ROSES grant 12-EUCLID12-0004, and NASA grant 15-WFIRST15-0008 to the Nancy Grace Roman Space Telescope Science Investigation Team “Cosmology with the High Latitude Survey”. GL is supported by the ANR BIG4 project, grant ANR-16-CE23-0002 of the French Agence Nationale de la Recherche. PN is funded by the Centre National d’Etudes Spatiales (CNES). We acknowledge use of the Python libraries NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), Matplotlib (Hunter 2007), Astropy (Astropy Collaboration 2013, 2018), emcee (Foreman-Mackey et al. 2019), GetDist (Lewis 2019), healpy (Górski et al. 2005; Zonca et al. 2019), and PyAbel (Hickstein et al. 2019). This work has made use of CosmoHub (Carretero et al. 2017; Tallada et al. 2020). CosmoHub has been developed by the Port d’Informació Científica (PIC), maintained through a collaboration of the Institut de Física d’Altes Energies (IFAE) and the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) and the Institute of Space Sciences (CSIC & IEEC), and was partially funded by the “Plan Estatal de Investigación Científica y Técnica y de Innovación” program of the Spanish government. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency.
Published: 2022

19. Euclid: Covariance of weak lensing pseudo- C -estimates: Calculation, comparison to simulations, and dependence on survey geometry

Author: R. E. Upham, M. L. Brown, L. Whittaker, A. Amara, N. Auricchio, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, F. Grupp, S. V. H. Haugan, H. Hoekstra, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, M. Kümmel, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Marggraf, K. Markovic, F. Marulli, M. Meneghetti, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, M. Poncet, L. Popa, F. Raison, J. Rhodes, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, J.-L. Starck, P. Tallada-Crespí, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, L. Valenziano, Y. Wang, G. Zamorani, J. Zoubian, S. Andreon, M. Baldi, S. Camera, V. F. Cardone, G. Fabbian, G. Polenta, A. Renzi, B. Joachimi, A. Hall, A. Loureiro, E. Sellentin, Centre National d'Études Spatiales [Toulouse] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Euclid, Upham, R. E., Brown, M. L., Whittaker, L., Amara, A., Auricchio, N., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carbone, C., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Cropper, M., Da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grupp, F., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hornstrup, A., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kummel, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Marggraf, O., Markovic, K., Marulli, F., Meneghetti, M., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Raison, F., Rhodes, J., Rossetti, E., Saglia, R., Sartoris, B., Schneider, P., Secroun, A., Seidel, G., Sirignano, C., Sirri, G., Stanco, L., Starck, J. -L., Tallada-Crespi, P., Tavagnacco, D., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Baldi, M., Camera, S., Cardone, V. F., Fabbian, G., Polenta, G., Renzi, A., Joachimi, B., Hall, A., Loureiro, A., and Sellentin, E.
Subjects: FOS: Computer and information sciences, Cosmology and Nongalactic Astrophysics (astro-ph.CO), likelihood, 2-point statistics, FOS: Physical sciences, Cosmology: observations, Gravitational lensing: weak, Methods: statistical, Astrophysics::Cosmology and Extragalactic Astrophysics, Cosmology: observation, Statistics - Applications, errors, Statistics::Methodology, Applications (stat.AP), [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Instrumentation and Methods for Astrophysics (astro-ph.IM), [PHYS]Physics [physics], polarization, temperature, Astronomy and Astrophysics, matrix, power spectrum covariance, Space and Planetary Science, impact, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, cosmology, cosmic shear, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: An accurate covariance matrix is essential for obtaining reliable cosmological results when using a Gaussian likelihood. In this paper we study the covariance of pseudo-$C_\ell$ estimates of tomographic cosmic shear power spectra. Using two existing publicly available codes in combination, we calculate the full covariance matrix, including mode-coupling contributions arising from both partial sky coverage and non-linear structure growth. For three different sky masks, we compare the theoretical covariance matrix to that estimated from publicly available N-body weak lensing simulations, finding good agreement. We find that as a more extreme sky cut is applied, a corresponding increase in both Gaussian off-diagonal covariance and non-Gaussian super-sample covariance is observed in both theory and simulations, in accordance with expectations. Studying the different contributions to the covariance in detail, we find that the Gaussian covariance dominates along the main diagonal and the closest off-diagonals, but further away from the main diagonal the super-sample covariance is dominant. Forming mock constraints in parameters describing matter clustering and dark energy, we find that neglecting non-Gaussian contributions to the covariance can lead to underestimating the true size of confidence regions by up to 70 per cent. The dominant non-Gaussian covariance component is the super-sample covariance, but neglecting the smaller connected non-Gaussian covariance can still lead to the underestimation of uncertainties by 10--20 per cent. A real cosmological analysis will require marginalisation over many nuisance parameters, which will decrease the relative importance of all cosmological contributions to the covariance, so these values should be taken as upper limits on the importance of each component., 15 pages, 8 figures; matches version accepted by A&A; code available at https://github.com/robinupham/shear_pcl_cov
Published: 2022

20. Euclid: Cosmological forecasts from the void size function

Author: S. Contarini, G. Verza, A. Pisani, N. Hamaus, M. Sahlén, C. Carbone, S. Dusini, F. Marulli, L. Moscardini, A. Renzi, C. Sirignano, L. Stanco, M. Aubert, M. Bonici, G. Castignani, H. M. Courtois, S. Escoffier, D. Guinet, A. Kovacs, G. Lavaux, E. Massara, S. Nadathur, G. Pollina, T. Ronconi, F. Ruppin, Z. Sakr, A. Veropalumbo, B. D. Wandelt, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, F. Dubath, C. A. J. Duncan, X. Dupac, A. Ealet, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, L. Guzzo, S. Haugan, W. Holmes, F. Hormuth, K. Jahnke, M. Kümmel, S. Kermiche, A. Kiessling, M. Kilbinger, M. Kunz, H. Kurki-Suonio, R. Laureijs, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, R. Massey, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, J. Rhodes, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, G. Sirri, C. Surace, P. Tallada-Crespí, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, D. Maino, S. Mei, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Euclid, Department of Physics, Helsinki Institute of Physics, Agenzia Spaziale Italiana, Università degli Studi di Padova, Ministero dell'Istruzione, dell'Università e della Ricerca, National Aeronautics and Space Administration (US), German Research Foundation, Astronomy, Contarini, S., Verza, G., Pisani, A., Hamaus, N., Sahlén, M., Carbone, C., Dusini, S., Marulli, F., Moscardini, L., Renzi, A., Sirignano, C., Stanco, L., Aubert, M., Bonici, M., Castignani, G., Courtois, H. M., Escoffier, S., Guinet, D., Kovacs, A., Lavaux, G., Massara, E., Nadathur, S., Pollina, G., Ronconi, T., Ruppin, F., Sakr, Z., Veropalumbo, A., Wandelt, B. D., Amara, A., Auricchio, N., Baldi, M., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Ealet, A., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S., Holmes, W., Hormuth, F., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kunz, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Massey, R., Melchior, M., Meneghetti, M., Meylan, G., Moresco, M., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rhodes, J., Rossetti, E., Saglia, R., Sartoris, B., Schneider, P., Secroun, A., Seidel, G., Sirri, G., Surace, C., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Wang, Y., Weller, J., Zamorani, G., Zoubian, J., Andreon, S., Maino, D., and Mei, S.
Subjects: isw, Cosmology and Nongalactic Astrophysics (astro-ph.CO), bias, Galaxies: statistics, dark energy / cosmology: theory / galaxies: statistics / catalogs / surveys / methods: data analysis, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, Catalogs, Cosmology: Theory, Dark energy, Methods: data analysis, 114 Physical sciences, redshift-space distortions, Astronomi, astrofysik och kosmologi, statistics [Galaxies], galaxies, Astronomy, Astrophysics and Cosmology, luminosity function, data analysis [Methods], Astrophysics::Galaxy Astrophysics, dark energy survey, density, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, cosmic voids, matter, gravity, Space and Planetary Science, Theory [Cosmology], Cosmology: theory, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Euclid Consortium: S. Contarini et al., The Euclid mission – with its spectroscopic galaxy survey covering a sky area over 15 000 deg2 in the redshift range 0.9, We acknowledge the grant ASI n.2018-23-HH.0. SC, FM and LM acknowledge the use of computational resources from the parallel computing cluster of the Open Physics Hub (https://site.unibo.it/openphysicshub/en) at the Physics and Astronomy Department in Bologna. GV is supported by Universitá degli Studi di Padova and in part by the project “Combining Cosmic Microwave Background and Large Scale Structure data: an Integrated Approach for Addressing Fundamental Questions in Cosmology”, funded by the MIUR Progetti di Rilevante Interesse Nazionale (PRIN) Bando 2017 – grant 2017YJYZAH. AP is supported by NASA ROSES grant 12-EUCLID12-0004, and NASA grant 15-WFIRST15-0008 to the Nancy Grace Roman Space Telescope Science Investigation Team “Cosmology with the High Latitude Survey”. NH is supported by the Excellence Cluster ORIGINS, which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2094 – 390783311. MS acknowledges support by the P. E. Filén fellowship and a fellowship at the Swedish Collegium for Advanced Study (SCAS). LM acknowledges support from PRIN MIUR 2017 WSCC32 “Zooming into dark matter and proto-galaxies with massive lensing clusters”. AR acknowledges funding from Italian Ministry of Education, University and Research (MIUR) through the ‘Dipartimenti di eccellenza’ project Science of the Universe. He is supported in part by the project “Combining Cosmic Microwave Background and Large Scale Structure data: an Integrated Approach for Addressing Fundamental Questions in Cosmology”, funded by the MIUR Progetti di Rilevante Interesse Nazionale (PRIN) Bando 2017 – grant 2017YJYZAH We acknowledge use of the Python libraries NumPy (Harris et al. 2020), Matplotlib (Hunter 2007) and ChainConsumer (Hinton 2016). This work has made use of Cosmo-Hub (Carretero et al. 2017; Tallada et al. 2020). CosmoHub has been developed by the Port d’Informació Científica (PIC), maintained through a collaboration ofthe Institut de Física d’Altes Energies (IFAE) and the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) and the Institute of Space Sciences (CSIC & IEEC), and was partially funded by the “Plan Estatalde Investigación Científica y Técnica y de Innovación” program of the Spanish government. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the French Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Ciencia e Innovación, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency.
Published: 2022

21. Jetstream and rainfall distribution in the Mediterranean region

Author: M. Gaetani, M. Baldi, G. A. Dalu, and G. Maracchi
Subjects: Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: This is a study on the impact of the jetstream in the Euro-Atlantic region on the rainfall distribution in the Mediterranean region; the study, based on data analysis, is restricted to the Mediterranean rainy season, which lasts from September to May. During this season, most of the weather systems originate over the Atlantic, and are carried towards the Mediterranean region by the westerly flow. In the upper troposphere of the Euro-Atlantic region this flow is characterized by two jets: the Atlantic jet, which crosses the ocean with a northeasterly tilt, and the African jet, which flows above the coast of North Africa. This study shows that the cross-jet circulation of the Atlantic jet favors storm activity in its exit region, while the cross-jet circulation of the African jet suppresses this kind of activity in its entrance region, with the 1st jet-stormtrack covariance mode explaining nearly 50% of the variability. It follows that the rainfall distribution downstream to these cross-jet circulations is strongly influenced by their relative positions. Specifically, in fall, rainfall is abundant in the western Mediterranean basin (WM), when the Atlantic jet is relatively strong but its northeasterly tilt is small, and the African jet is in its easternmost position. In winter, rainfall is abundant in the eastern Mediterranean basin (EM); this is when the Atlantic jet reaches the Scandinavian peninsula and the African jet is in its westernmost position. In spring, when the two jets weaken, the Atlantic jet retreats over the ocean, but the African jet stays in its winter position, rainfall is abundant in the Alpine region and in the Balkans. In addition, the covariance between precipitation and the jetstream has been evaluated. In fall, the latitudinal displacement of the Atlantic jet and the longitudinal displacement of the African jet modulate rainfall anomalies in the WM, with 38% explained covariance. In winter, the latitudinal displacement of the Atlantic jet produces rainfall anomalies in the western and central Mediterranean, with 45% explained covariance. In spring, the latitudinal displacement of the African jet produces rainfall anomalies, with 38% explained covariance.
Published: 2011
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22. Flow-Based Situation-Aware Approach for eHealth Data Processing

Author: Celso A. S. Santos, Jordano R. Celestrini, Alessandro M. Baldi, Rodrigo Varejão Andreão, and José Gonçalves Pereira Filho
Subjects: Flexibility (engineering), Data processing, Situation awareness, Remote patient monitoring, business.industry, Computer science, Distributed computing, Health care, eHealth, State (computer science), business, Personalization
Abstract: A major challenge for remote patient monitoring (RPM) systems is processing data collected from a large number of healthcare devices and developing suitable algorithms and approaches to react accordingly to a wide spectrum of situations of interest, which must be properly detected. Flow-based programming, whose operation is based on state changes, is a promising approach to overcome this challenge, facilitating the personalization of data processing according to patients' health conditions. However, this approach is not suited to the detection of complex contextual situations, thereby hindering its adoption in RPM systems for data processing. In this regard, we propose an approach that combines situation awareness and flow-based programming to widen the capability of RPM systems to handle many-sided scenarios, which requires the monitoring of complex patient healthcare conditions. An evaluation of the proposed approach was conducted to demonstrate the flexibility of the solution for processing heterogeneous health information.
Published: 2021

23. Crowd-Auto

Author: Alessandro M. Baldi, Celso A. S. Santos, and Vinicius F. S. Mota
Subjects: business.industry, Computer science, Face (sociological concept), 020206 networking & telecommunications, 02 engineering and technology, Computer security, computer.software_genre, Vehicle theft, Environmental data, Crowdsensing, Camera network, Work (electrical), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Internet of Things, business, computer
Abstract: Several cities around the world face security problems, such as vehicle theft. Locate and recover these vehicles are challengers for authorities. In smart cities, citizens can collaborate with authorities by sensing urban and environmental data, so-called crowdsensing. This work introduces Crowd-Auto, a crowdsensing approach that utilizes a crowded camera network from houses and commerce to identify vehicle plates, query on official databases and inform the authorities when stolen vehicles are identified. We've developed a prototype and demonstrated that Crowd-Auto is viable for allowing citizens to cooperate and improve security in cities.
Published: 2020

24. The κ-statistics approach to epidemiology

Author: Giorgio Kaniadakis, Mauro M. Baldi, Thomas S. Deisboeck, Giulia Grisolia, Dionissios T. Hristopulos, Antonio M. Scarfone, Amelia Sparavigna, Tatsuaki Wada, and Umberto Lucia
Subjects: FOS: Computer and information sciences, Pandemics, Epidemics, Thermodynamics, Irreversibility, Statistics, Constructal Law, Statistical thermodynamics, Bio-thermodynamics, lcsh:Medicine, $\kappa$-deformed Weibull, 01 natural sciences, Power law, 010305 fluids & plasmas, Econometrics, Statistical physics, thermodynamics and nonlinear dynamics, lcsh:Science, Empirical evidence, Mathematics, Multidisciplinary, $\kappa$-Statistics, Pareto principle, survival function, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Exponential function, Biological Physics (physics.bio-ph), Probability distribution, Adaptation and Self-Organizing Systems (nlin.AO), Algorithms, Physics - Physics and Society, kappa-statistics,κ-statistics, FOS: Physical sciences, Epidemiological analysis, Physics and Society (physics.soc-ph), COVID-19 Pandemic, 2020, Plague (disease), Statistics - Applications, Article, 0103 physical sciences, Humans, Applications (stat.AP), Physics - Biological Physics, Quantitative Biology - Populations and Evolution, 010306 general physics, Florence plague, Plague, Models, Statistical, lcsh:R, Order statistic, Populations and Evolution (q-bio.PE), COVID-19, Distribution function, FOS: Biological sciences, lcsh:Q, Statistical physics
Abstract: A great variety of complex physical, natural and artificial systems are governed by statistical distributions, which often follow a standard exponential function in the bulk, while their tail obeys the Pareto power law. The recently introduced $\kappa$-statistics framework predicts distribution functions with this feature. A growing number of applications in different fields of investigation are beginning to prove the relevance and effectiveness of $\kappa$-statistics in fitting empirical data. In this paper, we use $\kappa$-statistics to formulate a statistical approach for epidemiological analysis. We validate the theoretical results by fitting the derived $\kappa$-Weibull distributions with data from the plague pandemic of 1417 in Florence as well as data from the COVID-19 pandemic in China over the entire cycle that concludes in April 16, 2020. As further validation of the proposed approach we present a more systematic analysis of COVID-19 data from countries such as Germany, Italy, Spain and United Kingdom, obtaining very good agreement between theoretical predictions and empirical observations. For these countries we also study the entire first cycle of the pandemic which extends until the end of July 2020. The fact that both the data of the Florence plague and those of the Covid-19 pandemic are successfully described by the same theoretical model, even though the two events are caused by different diseases and they are separated by more than 600 years, is evidence that the $\kappa$-Weibull model has universal features., Comment: 15 pages, 1 table, 5 figures
Published: 2020

25. Incidental SOS1 variant identified by non-invasive prenatal screening: Prenatal diagnosis and family clinical reassessment

Author: M. Baldi, Antonio Pizzuti, Daniele Guadagnolo, Laura Gigante, Gioia Mastromoro, Paolo Versacci, Enrica Marchionni, Flavia Ventriglia, and Francesca Di Palma
Subjects: medicine.medical_specialty, Obstetrics, business.industry, Non invasive, MEDLINE, Obstetrics and Gynecology, Prenatal diagnosis, Aneuploidy, Prenatal screening, Reproductive Medicine, Pregnancy, Prenatal Diagnosis, medicine, Humans, Female, business
Published: 2020

26. Essential elements, conceptual foundations and workflow design in crowd-powered projects

Author: Celso A S Santos, Alessandro M Baldi, Fábio R de Assis Neto, and Monalessa P Barcellos
Subjects: Library and Information Sciences, Information Systems
Abstract: Crowdsourcing arose as a problem-solving strategy that uses a large number of workers to achieve tasks and solve specific problems. Although there are many studies that explore crowdsourcing platforms and systems, little attention has been paid to define what a crowd-powered project is. To address this issue, this article introduces a general-purpose conceptual model that represents the essential elements involved in this kind of project and how they relate to each other. We consider that the workflow in crowdsourcing projects is context-oriented and should represent the planning and coordination by the crowdsourcer in the project, instead of only facilitating decomposing a complex task into subtask sets. Since structural models are limited to cannot properly represent the execution flow, we also introduce the use of behavioural conceptual models, specifically Unified Modeling Language (UML) activity diagrams, to represent the user, tasks, assets, control activities and products involved in a specific project.
Published: 2022

27. Health orientation and individual tendencies of a sample of Italian genetic testing consumers

Author: Clizia Cincidda, Ilaria Cutica, Alessandra Gorini, M. Baldi, Serena Oliveri, Francesca Spinella, Ilaria Durosini, and Gabriella Pravettoni
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, lcsh:QH426-470, media_common.quotation_subject, Decision Making, Population, Genetic Counseling, Sample (statistics), risk propensity, Pessimism, genetic testing, Power (social and political), Direct-To-Consumer Screening and Testing, Perception, Genetics, medicine, Humans, Medical History Taking, education, Molecular Biology, Genetics (clinical), Aged, Genetic testing, media_common, Motivation, education.field_of_study, medicine.diagnostic_test, Public health, public health, Original Articles, Consumer Behavior, Middle Aged, health orientation, lcsh:Genetics, Italy, Socioeconomic Factors, Order (business), Original Article, Female, decision‐making, Psychology, Attitude to Health, Social psychology
Abstract: Background Over the last decade, genetic testing (GT) had markedly spread in European countries and struggled the debate concerning the psychological effects on the population. The aim of this study was to investigate the individual tendencies of GT consumers in a sample of Italian citizens. Methods A total of 152 Italian clients from GenomaLab, a private genetic company, were enrolled from February 2016 to September 2018 and completed an ad hoc survey. Results Results showed that GT consumers were motivated to preserve their well‐being, they felt responsible for their health, they were neither pessimistic nor optimistic toward negative occurrences, and poorly inclined to take high risks in their lives. Participants who had suffered from a disease in the past appear to be less tolerant to the uncertainty for future negative events. Conclusion Our results depict Italian GT consumers as health‐oriented, focused on prevention, who do not have a pessimistic perception of their condition but do not like to “bet” on their health, and probably their intention (and belief) is to acquire genetic information in order to reduce uncertainty and increase their decision‐making “power” related to their health. Taken together, all these results contribute to describe the population of GT users in European countries, to regulate the provision of GT results and to entail the communication of genetic risk information based on a consumers’ personal profile., Italian GT consumers are health‐oriented, focused on prevention, do not have a pessimistic perception of their condition but do not like to "bet" on their health. Their main intention (and belief) is to acquire genetic information in order to reduce uncertainty and increase their decision‐making “power” on their health.
Published: 2020

28. Euclid preparation

Author: A. Blanchard, S. Camera, C. Carbone, V. F. Cardone, S. Casas, S. Clesse, S. Ilić, M. Kilbinger, T. Kitching, M. Kunz, F. Lacasa, E. Linder, E. Majerotto, K. Markovič, M. Martinelli, V. Pettorino, A. Pourtsidou, Z. Sakr, A. G. Sánchez, D. Sapone, I. Tutusaus, S. Yahia-Cherif, V. Yankelevich, S. Andreon, H. Aussel, A. Balaguera-Antolínez, M. Baldi, S. Bardelli, R. Bender, A. Biviano, D. Bonino
Published: 2020
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29. Euclid preparation

Author: V. Guglielmo, R. Saglia, F. J. Castander, A. Galametz, S. Paltani, R. Bender, M. Bolzonella, P. Capak, O. Ilbert, D. C. Masters, D. Stern, S. Andreon, N. Auricchio, A. Balaguera-Antolínez, M. Baldi, S. Bardelli, A. Biviano, C. Bodendorf, D. Bonino, E. Bozzo, E. Branchini, S. Brau-Nogue, M. Brescia, C. Burigana, R. A. Cabanac, S. Camera, V. Capobianco, A. Cappi, C. Carbone, J. Carretero, C. S. Car
Published: 2020
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30. The clinical utility of genome-wide non invasive prenatal screening

Author: Arianna Polverari, Sara Bono, M. Baldi, Francesca Spinella, Francesco Fiorentino, Laura Diano, Sara Duca, Francesca Pizzuti, and Monica Faieta
Subjects: 0301 basic medicine, Oncology, Gynecology, medicine.medical_specialty, Pregnancy, education.field_of_study, 030219 obstetrics & reproductive medicine, Fetal dna, business.industry, Maternal Serum Screening Tests, Non invasive, Population, Obstetrics and Gynecology, 030105 genetics & heredity, medicine.disease, Genome, Clinical trial, 03 medical and health sciences, 0302 clinical medicine, Prenatal screening, Internal medicine, Medicine, business, education, Genetics (clinical)
Abstract: Objective In this study, we expanded conventional cell-free fetal DNA (cfDNA)-based non-invasive prenatal testing (NIPT) to cover the entire genome. We aimed to compare the performance of the two tests in a large general population of pregnant women, in order to assess the clinical utility of the genome-wide screening. Method Genome-wide cfDNA analysis was offered to 12 114 pregnant women undergoing NIPT for common fetal aneuploidy. Sequencing data were analyzed using an algorithm optimized to identify aneuploidies and subchromosomal aberrations. Results Genome-wide screening allowed detection of 12 (7.4%) potentially viable clinically relevant chromosomal abnormalities, which would have remained overlooked if only conventional NIPT had been performed. This resulted in a statistically significant higher sensitivity (100% vs 92.64%, p
Published: 2017

31. Improvement and automation of a real-time PCR assay for vaginal fluids

Author: E. De Vittori, Andrea Berti, Luigi Ripani, V. Romano Spica, Filippo Barni, S. Giampaoli, and M. Baldi
Subjects: Adult, DNA, Bacterial, 0301 basic medicine, Positive control, Computational biology, Biology, Real-Time Polymerase Chain Reaction, Pathology and Forensic Medicine, Automation, 03 medical and health sciences, 0302 clinical medicine, Multiplex polymerase chain reaction, Humans, 030216 legal & forensic medicine, Saliva, Aged, business.industry, Forensic Medicine, Middle Aged, Molecular biology, 030104 developmental biology, Real-time polymerase chain reaction, Vagina, Vaginal fluid, Feasibility Studies, Female, business, Law
Abstract: The identification of vaginal fluids is crucial in forensic science. Several molecular protocols based on PCR amplification of mfDNA (microflora DNA) specific for vaginal bacteria are now available. Unfortunately mfDNA extraction and PCR reactions require manual optimization of several steps. The aim of present study was the verification of a partial automatization of vaginal fluids identification through two instruments widely diffused in forensic laboratories: EZ1 Advanced robot and Rotor Gene Q 5Plex HRM. Moreover, taking advantage of 5-plex thermocycler technology, the ForFluid kit performances were improved by expanding the mfDNA characterization panel with a new bacterial target for vaginal fluids and with an internal positive control (IPC) to monitor PCR inhibition. Results underlined the feasibility of a semi-automated extraction of mfDNA using a BioRobot and demonstrated the analytical improvements of the kit.
Published: 2016

32. The importance of determining the limit of detection of non-invasive prenatal testing methods

Author: Martina Mariano, Francesco Fiorentino, Laura Diano, Mariateresa Sessa, Arianna Polverari, Francesca Spinella, Sara Bono, Francesca Pizzuti, Sara Duca, and M. Baldi
Subjects: 0301 basic medicine, Detection limit, Fetus, Pregnancy, medicine.medical_specialty, 030219 obstetrics & reproductive medicine, business.industry, Obstetrics, Experimental model, Non invasive, Obstetrics and Gynecology, Aneuploidy, 030105 genetics & heredity, medicine.disease, Bioinformatics, 03 medical and health sciences, 0302 clinical medicine, Medicine, business, Genetics (clinical)
Abstract: Objective Several non-invasive prenatal testing (NIPT) methods, which analyze circulating fetal cell-free DNA (cfDNA) in maternal plasma, suggest a fetal fraction (FF) ≥4% for a reportable result, with the assumption that fetal aneuploidies may not be detectable at lower FF. This study determined the actual limit of detection (LOD) of a massively parallel sequencing-based NIPT method and evaluated its performance in testing samples with low FF. Method An experimental model, involving the creation of artificial plasma mixtures with a final aneuploid FF ranging from 1% to 4%, simulated samples at different proportions of fetal cfDNA. We then analyzed 7103 blood samples, from pregnant women undergoing NIPT, to assess the impact of low FF on the performance of cfDNA testing. Results Detection of common aneuploidies in samples with an FF as low as 2% is well within the ability of this technology. Of 105 pregnancies confirmed chromosomally abnormal, 25 (23.8%) involving a 2%
Published: 2016

33. Estudio comparativo radiológico de los parámetros cardiacos entre imágenes alineadas y con desviación en la vista dorsoventral del tórax

Author: Diego Díaz C, Bianca M. Baldi Aste, Jesús Chilón, and Isaac Chipayo
Subjects: General Veterinary
Abstract: El objetivo de este estudio fue comparar los parámetros cardiacos de radiografías de tórax de vista dorsoventral alineada con los de vista dorsoventral girada de un mismo paciente para determinar el grado de giro aceptable para dicha vista. Se utilizaron 53 placas dorsoventrales giradas de 32 pacientes caninos y se compararon los parámetros de dichas placas con sus respectivas muestras control o placas dorsoventrales alineadas. Para ello, se usaron las pruebas de analogía del reloj y relación cardio-torácica y complementadas con su respectiva vista latero-lateral derecha, permitiendo la obtención del ángulo de giro. Los resultados de las muestras giradas fueron asignadas a un grupo de 0.1º a 6º de giro y a otro de 6º a 12º de giro. Cada cámara cardiaca fue evaluada con su respectiva placa control mediante la prueba de McNemar. El grupo de 0.1º a 6º de giro presenta un valor de probabilidad de 0.1025 al evaluar la aurícula derecha, 0.6547 para la aurícula izquierda, 0.1573 para el ventrículo derecho y 0.3173 para el ventrículo izquierdo, siendo válido para diagnóstico; a diferencia del grupo de 6º a 12º de giro que obtuvo 0.0196 para la aurícula derecha, 0.0578 para la aurícula izquierda, 0.0114 para el ventrículo derecho y 0.0126 para el ventrículo izquierdo, no siendo aceptables para diagnóstico.
Published: 2020

34. 479Age-specific prevalence of cardiac structural alterations in a large consecutive cohort of athletes by pre-participation screening

Author: M Galli, Niccolò Maurizi, Francesca Cecchi, I Olivotto, N Mochi, F Panzera, Gianfranco Parati, C Lisi, S Bianchi, M Baldi, and Silvia Castelletti
Subjects: medicine.medical_specialty, biology, business.industry, Athletes, Internal medicine, Cohort, Medicine, Cardiology and Cardiovascular Medicine, business, biology.organism_classification
Published: 2018

35. Situations in Simulations: An Initial Appraisal

Author: João Paulo A. Almeida, Alessandro M. Baldi, Patricia Dockhorn Costa, and Eduardo Zambon
Subjects: Modeling and simulation, Range (mathematics), Operations research, Scope (project management), Java, Order (exchange), computer, Execution time, computer.programming_language, Simula, Application lifecycle management
Abstract: Approaches to simulation in the literature range from conventional object-orientation programming, which dates back to the seminal Simula programming language, to the more recent graphical modeling environments in the scope of agent-based modeling and simulation. Despite their clear impact and benefits, we have observed that these approaches have not yet provided support for situation lifecycle management, and do not address a notion of “situation” explicitly. In this paper, we perform a case study in order to examine how the various approaches support the design and execution of simulations. We are particularly interested in contrasting existing approaches to simulation with a declarative rule-based approach that supports situations explicitly. We take into account design time concerns as well as execution time performance. The study focuses on the simulation of populations of Aedes aegypti mosquitoes in urban environments.
Published: 2018

36. 7. IMPACT OF CHROMOSOMAL MOSAICISM IN IVF OUTCOMES: EXPERIENCE FROM TWO HUNDRED MOSAIC EMBRYOS TRANSFERRED PROSPECTIVELY

Author: P. Viganò, Ettore Cotroneo, Laura Corti, Anil Biricik, M. Baldi, Francesco Fiorentino, M.T. Varrichhio, Ermanno Greco, Maria Giulia Minasi, Matteo Surdo, and Francesca Spinella
Subjects: Monosomy, In vitro fertilisation, medicine.diagnostic_test, medicine.medical_treatment, Obstetrics and Gynecology, Aneuploidy, Chromosome, Embryo, Biology, medicine.disease, Andrology, Reproductive Medicine, embryonic structures, Biopsy, medicine, Ploidy, Trisomy, Developmental Biology
Abstract: Introduction Chromosomal mosaic embryos are characterized by the presence of chromosomally different cell lines within the same embryo. In a recent published study, we have demonstrated that mosaic embryos hold the potential to implant and result in the birth of healthy babies. Therefore, the transfer of these embryos is now offered as an option for women who undergo in vitro fertilization (IVF) resulting in only mosaic embryos but no euploid embryos for transfer. However, there is still few data concerning the impact of mosaicism on viability, and the classification of such embryos in relation with their reproductive potential is unclear. Here we investigated if chromosomal constitution of mosaic embryos influences the clinical outcome of in vitro fertilization treatments Material and methods The transfer of mosaic embryos was offered to 200 women for whom IVF had resulted in no euploid embryos between May 2016-May 2018. Trophectoderm (TE) biopsy was performed on Day-5 of development or Day6/7 for slow growing embryos. The clinical outcome obtained after transfer of mosaic embryos with different chromosomal constitution was compared with each other and with that obtained from a control group of 500 euploid blastocysts. Comprehensive chromosome testing PGT-A was performed using high resolution next generation sequencing (NGS) methodology. TE biopsies were classified as mosaic if they had 20%-80% abnormal cells. For statistical analysis mosaic embryos were divided in four groups based on chromosomal constitution: mosaic monosomy (single and double monosomies; MM), mosaic trisomy (single and double trisomies, MT), mosaic complex aneuploidy (more than two different aneuploidies; MC) and mosaic segmental aneuploidy (single and double deletion or insertion >5Mb, MS). Results MM showed significant higher birth rate compared to MT (46% vs 24%,p=0.02), MC (46% vs 23%,p=0.03) and MS (46% vs 22%,p=0.02). No significant difference was observed in clinical outcome between the groups MT, MC and MS. A comparison of the clinical outcomes with control euploid group showed no significant difference between euploid control and MM, while a significant low implantation rate (55.4% vs 37% MT, vs 31% MC, vs 23% MS,p Conclusion The study demonstrated that embryos with MT, MS and MC aneuploidies have lower chances of resulting with birth of healthy babies compared to embryos with MM. More interestingly, no difference has been find in clinical results between MM and euploid control group. These findings should be considered for genetic counseling.
Published: 2019

37. Myeloid-derived suppressor cells regulate T cell and B cell responses during autoimmune disease

Author: Denise Esserman, Mengyao Jin, Rishi R. Rampersad, Peng Liu, Todd A. Schwartz, Michael F. Weeks, Robert M. Baldi, Yajuan Shen, Kristen R. Crook, Amy S. Glekas, and Paul Little
Subjects: CD4-Positive T-Lymphocytes, Male, Adoptive cell transfer, CCR2, Receptors, CCR2, animal diseases, T-Lymphocytes, medicine.medical_treatment, T cell, Immunology, Nitric Oxide Synthase Type II, Biology, Dinoprostone, Monocytes, Autoimmune Diseases, Interferon-gamma, Chemokine receptor, parasitic diseases, medicine, Animals, Immunology and Allergy, Myeloid Cells, B cell, Cell Proliferation, Autoimmune disease, B-Lymphocytes, Interleukin-17, Cell Biology, Immunotherapy, Host Defense & Pathophysiology, medicine.disease, Arthritis, Experimental, Mice, Inbred C57BL, Phenotype, medicine.anatomical_structure, Mice, Inbred DBA, Antibody Formation, Myeloid-derived Suppressor Cell, Female, Immunization
Abstract: MDSCs are a heterogeneous group of myeloid cells that suppress T cell activity in cancer and autoimmune disease. The effect of MDSCs on B cell function is not clear. Using the CIA model of autoimmune disease, we found an increase in M-MDSCs in the periphery of WT mice with CIA compared with nai¨ve mice. These MDSCs were absent from the periphery of CCR2−/− mice that developed exacerbated disease. M-MDSCs, isolated from immunized mice, inhibited autologous CD4+ T cell proliferation. The M-MDSC-mediated suppression of T cell proliferation was NO and IFN-γ dependent but IL-17 independent. Furthermore, we demonstrated for the first time that M-MDSCs from CIA mice also inhibited autologous B cell proliferation and antibody production. The suppression of B cells by M-MDSCs was dependent on the production of NO and PGE2 and required cell–cell contact. Administration of M-MDSCs rescued CCR2−/− mice from the exacerbated CIA phenotype and ameliorated disease in WT mice. Furthermore, adoptive transfer of M-MDSCs reduced autoantibody production by CCR2−/− and WT mice. In summary, M-MDSCs inhibit T cell and B cell function in CIA and may serve as a therapeutic approach in the treatment of autoimmune arthritis.
Published: 2015

38. Simulação de Aplicação de Armadilhas no Combate ao Aedes aegypti

Author: Alessandro M. Baldi, Patricia Dockhorn Costa, Eduarda Mirela da Silva Montiel, and Eduardo Zambon
Abstract: O mosquito Aedes aegypti é o principal vetor das doenças Zika, Dengue, Chicungunha e Febre Amarela. Este artigo descreve a pesquisa em simulação computacional sobre o comportamento deste mosquito e sobre a eficácia de armadilhas em um certo cenário geográfico predefinido. A simulação computacional modela três aspectos fundamentais: (i) a reprodução dos mosquitos em focos, (ii) o crescimento da população de mosquitos, e (iii) o combate do vetor através de armadilhas. O objetivo principal desta simulação é a verificação dos locais mais adequados para a implantação de armadilhas com o propósito de combater os mosquitos, diminuindo as possibilidades de uma epidemia. Como resultado do trabalho foi desenvolvida uma ferramenta que contribui para o planejamento do combate ao vetor, melhorando a eficácia das ações de prevenção.
Published: 2017

39. Extent of chromosomal mosaicism influences the clinical outcome of in vitro fertilization treatments

Author: Ermanno Greco, Maria Giulia Minasi, M. Baldi, Francesco Fiorentino, Elisabetta Cursio, Anil Biricik, Alessandra Ruberti, Francesca Spinella, Ettore Cotroneo, and Sara Bono
Subjects: 0301 basic medicine, Adult, medicine.medical_specialty, Pregnancy Rate, medicine.medical_treatment, media_common.quotation_subject, Aneuploidy, Fertilization in Vitro, Biology, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Pregnancy, Risk Factors, medicine, Humans, Blastocyst, Embryo Implantation, Prospective Studies, Prospective cohort study, Preimplantation Diagnosis, media_common, Gynecology, Comparative Genomic Hybridization, 030219 obstetrics & reproductive medicine, In vitro fertilisation, Mosaicism, Obstetrics and Gynecology, Chromosome, High-Throughput Nucleotide Sequencing, Embryo, Middle Aged, medicine.disease, 030104 developmental biology, medicine.anatomical_structure, Fertility, Treatment Outcome, Reproductive Medicine, Infertility, embryonic structures, Female, Reproduction, Live Birth, Comparative genomic hybridization
Abstract: To assess whether the extent of chromosomal mosaicism can influence the success rate of IVF treatments.Prospective study.Private genetic and assisted reproduction centers.The transfer of mosaic embryos was offered to 77 women for which IVF resulted in no euploid embryos available for transfer.All embryos were cultured to blastocyst stage; trophectoderm biopsy was performed on day 5/6 of development. Comprehensive chromosome screening was performed using either next-generation sequencing or array-comparative genomic hybridization methodologies.The clinical outcome obtained after transfer of mosaic embryos with low (50%) and high (≥50%) aneuploidy percentage was compared with that resulting from a control group of 251 euploid blastocysts.A significantly higher implantation rate (48.9% vs. 24.2%), clinical pregnancy rate/ET (40.9% vs. 15.2%), and live-birth rate (42.2% vs. 15.2%) were observed comparing embryos with mosaicism50% and ≥50%. Mosaic embryos with high aneuploidy percentage (≥50%) showed a significantly lower clinical pregnancy rate/ET (15.2% vs. 46.4%), implantation rate (24.4% vs. 54.6%), and live-birth rate (15.2% vs. 46.6%) than euploid blastocysts. In contrast, embryos with lower aneuploidy percentage (50%) have a clinical outcome similar to euploid embryos.The results of this study further confirm that mosaic embryos can develop into healthy euploid newborns. We demonstrated that the extent of mosaicism influences the IVF success rate. Mosaic embryos with low aneuploidy percentage have higher chances of resulting in the birth of healthy babies compared with embryos with higher mosaicism levels.
Published: 2017

40. Author's reply to Grati and Benn

Author: Arianna Polverari, Monica Faieta, Sara Bono, Francesca Spinella, Sara Duca, Francesco Fiorentino, Laura Diano, M. Baldi, and Francesca Pizzuti
Subjects: 0301 basic medicine, 03 medical and health sciences, 030219 obstetrics & reproductive medicine, 0302 clinical medicine, business.industry, Obstetrics and Gynecology, Medicine, 030105 genetics & heredity, business, Genetics (clinical)
Published: 2017

41. Sperimentare sui testi. Cardano nel web

Author: Damiana Luzzi and M. Baldi
Published: 2013

42. Chromosomal microarray analysis as a first-line test in pregnancies with a priori low risk for the detection of submicroscopic chromosomal abnormalities

Author: Fiorina Caiazzo, Giuseppe Rizzo, Letizia Spizzichino, Anthony Gordon, Sara Bono, Andrea Nuccitelli, Francesco Fiorentino, M. Baldi, Stefania Napoletano, and Mariateresa Sessa
Subjects: medicine.medical_specialty, Abnormal Karyotype, Chromosome Disorders, Prenatal diagnosis, Biology, Ultrasonography, Prenatal, Article, Pregnancy, Prenatal Diagnosis, Genetics, medicine, Humans, Genetic Testing, Advanced maternal age, Family history, Genetics (clinical), Genetic testing, Chromosome Aberrations, Fetus, medicine.diagnostic_test, Obstetrics, Karyotype, Microarray Analysis, medicine.disease, Female, Settore MED/40 - Ginecologia e Ostetricia, Abnormality, Maternal Age
Abstract: In this study, we aimed to explore the utility of chromosomal microarray analysis (CMA) in groups of pregnancies with a priori low risk for detection of submicroscopic chromosome abnormalities, usually not considered an indication for testing, in order to assess whether CMA improves the detection rate of prenatal chromosomal aberrations. A total of 3000 prenatal samples were processed in parallel using both whole-genome CMA and conventional karyotyping. The indications for prenatal testing included: advanced maternal age, maternal serum screening test abnormality, abnormal ultrasound findings, known abnormal fetal karyotype, parental anxiety, family history of a genetic condition and cell culture failure. The use of CMA resulted in an increased detection rate regardless of the indication for analysis. This was evident in high risk groups (abnormal ultrasound findings and abnormal fetal karyotype), in which the percentage of detection was 5.8% (7/120), and also in low risk groups, such as advanced maternal age (6/1118, 0.5%), and parental anxiety (11/1674, 0.7%). A total of 24 (0.8%) fetal conditions would have remained undiagnosed if only a standard karyotype had been performed. Importantly, 17 (0.6%) of such findings would have otherwise been overlooked if CMA was offered only to high risk pregnancies.The results of this study suggest that more widespread CMA testing of fetuses would result in a higher detection of clinically relevant chromosome abnormalities, even in low risk pregnancies. Our findings provide substantial evidence for the introduction of CMA as a first-line diagnostic test for all pregnant women undergoing invasive prenatal testing, regardless of risk factors.
Published: 2012

43. Sequential comprehensive chromosome analysis on polar bodies, blastomeres and trophoblast: insights into female meiotic errors and chromosomal segregation in the preimplantation window of embryo development

Author: Antonio Capalbo, Anil Biricik, Sara Bono, Laura Rienzi, Francesco Fiorentino, M. Baldi, Letizia Spizzichino, Silvia Colamaria, and Filippo Maria Ubaldi
Subjects: Genetics, Rehabilitation, Obstetrics and Gynecology, Aneuploidy, Embryo, Biology, medicine.disease, Polycystic ovary, Chromosomal Loss, Andrology, Polar body, medicine.anatomical_structure, Reproductive Medicine, medicine, Chromatid, Polar body biopsy, Blastocyst
Abstract: STUDY QUESTION: What is the optimal stage from oocyte through preimplantation embryo development for biopsy and preimplantation genetic screening (PGS) to detect abnormal chromosome segregation patterns in eggs or embryos from advanced maternal age (AMA) patients? SUMMARY ANSWER: Testing at the polar body (PB) stage was the least accurate mainly due to the high incidence of post-zygotic events. This suggests that postponing the time of biopsy to the blastocyst stage of preimplantation embryo development may provide the most reliable results for PGS. WHAT IS KNOWN ALREADY: In the PGS field there is an ongoing debate about the optimal biopsy stage for PGS. This is a result of the lack of understanding of how aneuploidy arises in the human embryo. To date, most of the cytogenetic data obtained during PGS investigations have been derived through the analysis of cells at isolated points in the preimplantation window, thus potentially missing critical information on chromosomal segregation. Understanding the chromosome segregation patterns during preimplantation development holds the potential to significantly increase the success rates of IVF. In this study, a sequential comprehensive chromosome analysis of both the PBs and the corresponding embryos at both the cleavage and the blastocyst stages is presented. STUDY DESIGN, SIZE, DURATION: This is a prospective longitudinal cohort study performed between October 2009 and August 2011 involving 9 infertile couples and 21 sets of complete comprehensive chromosomal screening data, including PB1, PB2, corresponding blastomeres and trophectoderm (TE) samples. PARTICIPANTS/MATERIALS, SETTING, METHODS: Infertile couples undergoing IVF cycles with PGS where the female partner was older than 40 years and with a good response to controlled ovarian stimulation (>10 MII oocytes retrieved) were enrolled into the study. The exclusion criteria were (i) patients presenting with abnormal karyotype; (ii) specific ovarian pathologies including polycystic ovary syndrome, endometriosis grade III or higher and premature ovarian failure and (iii) severe male factor infertility (motile sperm count of
Published: 2012

44. Introducing array comparative genomic hybridization into routine prenatal diagnosis practice: a prospective study on over 1000 consecutive clinical cases

Author: Fiorina Caiazzo, Sara Bono, Letizia Spizzichino, Andrea Nuccitelli, Stefania Napolitano, Mariateresa Sessa, Giuseppe Rizzo, Anthony Gordon, Francesco Fiorentino, Anil Biricik, and M. Baldi
Subjects: medicine.medical_specialty, Pathology, Amniotic fluid, medicine.diagnostic_test, Obstetrics, Concordance, Obstetrics and Gynecology, Chorionic villus sampling, Prenatal diagnosis, Biology, stomatognathic diseases, Amniocentesis, medicine, Copy-number variation, Prospective cohort study, neoplasms, Genetics (clinical), Comparative genomic hybridization
Abstract: Objective To assess the feasibility of offering array-based comparative genomic hybridization testing for prenatal diagnosis as a first-line test, a prospective study was performed, comparing the results achieved from array comparative genomic hybridization (aCGH) with those obtained from conventional karyotype. Method Women undergoing amniocentesis or chorionic villus sampling were offered aCGH analysis. A total of 1037 prenatal samples were processed in parallel using both aCGH and G-banding for standard karyotyping. Specimen types included amniotic fluid (89.0%), chorionic villus sampling (9.5%) and cultured amniocytes (1.5%). Results Chromosomal abnormalities were identified in 34 (3.3%) samples; in 9 out of 34 cases (26.5%) aCGH detected pathogenic copy number variations that would not have been found if only a standard karyotype had been performed. aCGH was also able to detect chromosomal mosaicism at as low as a 10% level. There was complete concordance between the conventional karyotyping and aCGH results, except for 2 cases that were only correctly diagnosed by aCGH. Conclusions This study demonstrates that aCGH represents an improved diagnostic tool for prenatal detection of chromosomal abnormalities. Although larger studies are needed, our results provide further evidence on the feasibility of introducing aCGH as a first-line diagnostic test in routine prenatal diagnosis practice. Copyright © 2011 John Wiley & Sons, Ltd. Supporting information may be found in the online version of this article.
Published: 2011

45. Temperature and storage effects on antioxidant activity of juice from red and white grapes

Author: Luca Sebastiani, Annamaria Ranieri, M. Baldi, P. Iacopini, Paolo Storchi, and Giuseppe Genova
Subjects: Antioxidant, medicine.medical_treatment, Tyrosine Nitration, Malvidin, Industrial and Manufacturing Engineering, chemistry.chemical_compound, chemistry, Polyphenol, Botany, medicine, Composition (visual arts), Dry matter, Cultivar, Food science, Peroxynitrite, Food Science
Abstract: Summary The effect of temperature and storage time on the phenolic composition and on the antioxidant activity of grape (Vitis vinifera L.) juices made using a red (Sangiovese, SG) and a white (Muscat of Alexandria, MA) variety was studied. Total phenolics, flavonoids, flavan-3-ols and hydroxycinnamoyl-tartrates (HCT) were determined on grape extracts (GE) and juices. Total anthocyanins and anthocyanins composition were measured on GE. The antioxidant activity was assessed by means of two different in vitro tests: scavenging of the stable 2,2-diphenyl-1-picrylhydrazyl radical and the inhibition of tyrosine nitration mediated by authentic peroxynitrite (ONOO−). All the juices were analysed after 24 h and 2 weeks of storage by means of two-way anova (factors being cultivar and temperature). Anthocyanins were not detected in MA extract, whereas in SG their content was 534 mg malvidin-equivalent per 100 g of dry matter (d.m.) and malvidin derivatives (glycosylated and coumaroylated) were the most represented (respectively 169 and 41 malvidin-equivalent per 100 g of d.m.). HCT content of the extracts was higher in SG (overall +33%). Also in grape juices, HCT were lower in MA and in this variety, the trans-fertaric and cis-coutaric acids were also undetectable. Cultivar effect proved to be highly significant, while no significant differences in the phenolic composition were observed for storage temperatures (4 and −20 °C) and cultivar × temperature interaction. However, when statistical analysis was focused on each cultivar, MA was found to be more sensible to storage conditions and a significant reduction in total phenolics (−20%) and flavonoids (−53%) content and in the ONOO− scavenging potential (−32%) was evident after 2 weeks at 4 °C (when compared with the same storage temperature after 24 h). On the contrary, SG juices did not show significant differences among the four storage treatments investigated. These results could be explained suggesting that anthocyanins presence in red grape plays a key role in juice stability.
Published: 2011

46. The extent of chromosomal mosaicism influences the clinical outcome of in vitro fertilization treatments

Author: M. Baldi, Ermanno Greco, Maria Giulia Minasi, Ettore Cotroneo, Francesco Fiorentino, Laura Diano, Elisabetta Cursio, Francesca Spinella, Anil Biricik, and Sara Bono
Subjects: Andrology, In vitro fertilisation, Reproductive Medicine, medicine.medical_treatment, medicine, Obstetrics and Gynecology, Biology, Outcome (game theory), Developmental Biology
Published: 2018

47. Climate and wine quality: Chianti in Tuscany

Author: M. Baldi, M.J. Salinger, D. Grifoni, G. Jones, G. Bartolini, S. Cecchi, G. Messeri, A. Dalla Marta, S. Orlandini, G.A. Dalu, and G. Maracchi
Subjects: Consensus ranking, Climate, Wine, Weather types
Abstract: Vintages consensus rankings are used to investigate climate patterns influencing good and poor quality vintages for Bordeaux reds in France and Tuscany Chianti in Italy. The good and poor ranked vintages have quite contrasting climate anomalies and differentiated weather patterns throughout the growing season. For both cases of reds in Bordeaux and Tuscany the growing season temperatures and heat units were significantly higher for the good, compared with the poor ranked vintages. For Tuscany specific weather types (WT) are associated with each group. The European lessons have applicability to other Countries situation where diverse climatic patterns occur across different wine growing districts and to implement forecast systems specific for grapes.
Published: 2015

48. 'Sul campo', a fianco dei ricercatori

Author: Ugolini, F. Sabatini, and M. Baldi
Subjects: ambiente, Formazione, cambiamenti climatici
Abstract: Passeggiare per le vie della città per capire come cambia la percezione termica a seconda che ci si trovi in una strada trafficata, un giardino pubblico, o una zona assolata. È una delle esperienze che hanno coinvolto i ragazzi del liceo scientifico 'Nicola Sensale' di Nocera Inferiore (Salerno), ospitati presso l'Istituto di biometeorologia (Ibimet) del Cnr di Firenze.
Published: 2015

49. Markers of hypercoagulability and inflammation predict mortality in patients with heart failure

Author: Valerio Verdiani, Anna Maria Gori, Rossella Marcucci, M. Baldi, F. Giannotti, Rosanna Abbate, S. Del Pace, and Carlo Nozzoli
Subjects: Male, medicine.medical_specialty, Cardiac output, Antithrombin III, Cardiac Output, Low, Fibrin Fibrinogen Degradation Products, Risk Factors, Internal medicine, Natriuretic Peptide, Brain, D-dimer, medicine, Humans, Aged, Subclinical infection, Aged, 80 and over, Inflammation, biology, Interleukin-6, Proportional hazards model, business.industry, C-reactive protein, Hazard ratio, Hematology, Blood Coagulation Disorders, medicine.disease, Confidence interval, Surgery, C-Reactive Protein, Heart failure, Heart Function Tests, biology.protein, Cardiology, Female, business, Biomarkers, Peptide Hydrolases
Abstract: Summary. Background and aims: Plasma levels of inflammatory markers are increased in chronic heart failure (HF) and are also subclinical indicators of future HF. Inflammation is strictly correlated with clotting activation, but the association between inflammation, hypercoagulability and prognosis in HF has not been previously reported. Methods and results: Markers of inflammation (interleukin-6; IL-6, and C-reactive protein; CRP) and hypercoagulability (D-dimer; DD, and thrombin-antithrombin III complex; TAT) were prospectively assessed in 214 subjects with New York Heart Association (NYHA) functional class II–IV HF. During a median follow-up of 8.5 months, 32 patients had an event: 13 died and 19 were hospitalized because of worsening of HF. IL-6, DD and TAT levels were all significantly associated with increased risk of death after adjustment for other known HF prognostic factors (age, gender, traditional cardiovascular risk factors, NYHA class, systolic left ventricular function, renal failure, hemoglobin, serum sodium) in a Cox multivariate proportional hazard model (P = 0.003, P = 0.01 and P = 0.02, respectively). When these markers were added simultaneously to the known prognostic factors in a new Cox multivariate model, only DD levels were significant predictors of mortality (hazard ratio [95% confidence interval; CI]: 11 [2.7–45.1], P = 0.001). The Kaplan–Meier curve revealed a significantly better outcome in patients with DD below 450 ng mL−1. NT-pro-BNP was the only significant predictor of rehospitalization (HR [95% CI]: 5.3 [2.0–13.8], P
Published: 2006

50. Strategies and clinical outcome of 250 cycles of Preimplantation Genetic Diagnosis for single gene disorders

Author: R. De Palma, Donatella Caserta, M. Iacobelli, V. Trengia, Anil Biricik, M. Baldi, Andrea Nuccitelli, Semra Kahraman, M.A. Bonu, A. Borini, and Francesco Fiorentino
Subjects: Adult, Genes, Recessive, Fertilization in Vitro, Biology, Bioinformatics, Preimplantation genetic diagnosis, Polymerase Chain Reaction, Pregnancy, Genetic linkage, Multiplex polymerase chain reaction, medicine, Humans, Multiplex, X-linked recessive inheritance, DNA Primers, Genes, Dominant, Genetics, Base Sequence, Rehabilitation, Genetic Diseases, Inborn, Infant, Newborn, Pregnancy Outcome, Genetic disorder, Obstetrics and Gynecology, medicine.disease, Embryo transfer, Pedigree, Blastocyst, Reproductive Medicine, Mutation, Mutation (genetic algorithm), Female, Maternal Age
Abstract: BACKGROUND: We report on our experience with preimplantation genetic diagnosis (PGD) for single gene disorders (SGDs), from 1999 to 2004, describing strategies and overall clinical outcome of 250 cycles in 174 couples for 23 different genetic conditions. METHODS: PGD cycles included 15 for autosomal dominant, 148 for autosomal recessive and 19 for X-linked SGDs. In addition, 68 cycles of PGD for SGDs were performed in combination with HLA matching. The strategy in each case used an initial multiplex PCR, followed by minisequencing to identify the mutation(s) combined with multiplex PCR for closely linked informative markers to increase accuracy. Linkage analysis, using intragenic and/or extragenic polymorphic microsatellite markers, was performed in cases where the disease-causing mutation(s) was unknown or undetectable. RESULTS: In 250 PGD cycles, a total of 1961 cleavage stage embryos were biopsied. PCR was successful in 3409 out of 3149 (92.4%) biopsied blastomeres and a diagnosis was possible in 1849 (94.3%) embryos. Four hundred and twenty-seven embryos were transferred in 211 cycles, resulting in 71 pregnancies (33.6% per embryo transfer), including 15 biochemical pregnancies, six spontaneous miscarriages, two ectopic pregnancies, which were terminated, and nine pregnancies which are still ongoing. The remaining pregnancies were confirmed to be unaffected and went to term without complications, resulting in the birth of 35 healthy babies. CONCLUSIONS: Minisequencing for mutation detection combined with multiplex fluorescence PCR for linkage analysis is an efficient, accurate and widely applicable strategy for PGD of SGDs. Our experience provides a further demonstration that PGD is an effective clinical tool and a useful option for many couples with a high risk of transmitting a genetic disease.
Published: 2005

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