Author: "Stein Vidar Hagfors Haugan" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Stein Vidar Hagfors Haugan"' showing total 27 results

Start Over Author "Stein Vidar Hagfors Haugan"

27 results on '"Stein Vidar Hagfors Haugan"'

1. Euclid: Validation of the MontePython forecasting tools

Author: Santiago Casas, Julien Lesgourgues, Nils Schöneberg, Sabarish V.M., Lena Rathmann, Doerenkamp, M., Archidiacono, M., Bellini, E., Sebastien Clesse, Frusciante, N., Matteo Martinelli, Francesco Pace, Domenico Sapone, ziad sakr, Alain Blanchard, Thejs Brinckmann, Stefano Camera, Carmelita Carbone, Ilić, S., Dida Markovic, Pettorino, V., Isaac Tutusaus, Aghanim, N., Amara, A., Luca Amendola, Natalia Auricchio, Marco Baldi, Bonino, D., Enzo Branchini, Massimo Brescia, Jarle Brinchmann, Vito Capobianco, Cardone, V. F., Carretero, J., Marco Castellano, Stefano Cavuoti, Cimatti, A., Cledassou, Rodolphe, Giuseppe Congedo, Luca Conversi, Yannick Copin, leonardo corcione, Frederic Courbin, Mark Cropper, Hubert Degaudenzi, Dinis, J., Douspis, M., Florian Dubath, Dupac, X., stefano dusini, Samuel Farrens, Marco Frailis, Enrico Franceschi, Marco Fumana, Samuele Galeotta, Bianca Garilli, Bryan Gillis, Giocoli, C., Andrea Grazian, Grupp, F., Stein Vidar Hagfors Haugan, Hormuth, F., Allan Hornstrup, Knud Jahnke, Martin Kuemmel, Alina Kiessling, Martin Kilbinger, Thomas Kitching, Martin Kunz, Hannu Antero Kurki-Suonio, Sebastiano Ligori, Per Lilje, Lloro, I., Oriana Mansutti, Ole Marggraf, Federico Marulli, Richard Massey, Eduardo Medinaceli, Simona Mei, Massimo Meneghetti, Emiliano Merlin, Meylan, G., Michele Moresco, Lauro Moscardini, Emiliano Munari, Niemi, S. -M, Cristobal Padilla, Paltani, S., Pasian, F., Pedersen, K., Will Percival, Pires, S., Gianluca Polenta, Poncet, M., Popa, L. A., Frederic Raison, Alessandro Renzi, Rhodes, J., Riccio, G., Erik Romelli, Mauro Roncarelli, Rossetti, E., Roberto Saglia, Sartoris, B., Schneider, P., Aurélia Secroun, Gregor Seidel, Santiago Serrano Elorduy, Sirignano, Chiara, Gabriele Sirri, Luca Stanco, Jean-Luc Starck, christian surace, Pau Tallada Crespí, Taylor, A. N., Tereno, I., Rafael Toledo-Moreo, Assís Torradeflot, Francesc D., Valentijn, E. A., Luca Valenziano, Thomas Vassallo, Yun Wang, Jochen Weller, Zamorani, G., Zoubian, J., Scottez, V., Alfonso Veropalumbo, 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), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (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), 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), 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), 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), 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), 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 de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Euclid
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Euclid mission of the European Space Agency will perform a survey of weak lensing cosmic shear and galaxy clustering in order to constrain cosmological models and fundamental physics. We expand and adjust the mock Euclid likelihoods of the MontePython software in order to match the exact recipes used in previous Euclid Fisher matrix forecasts for several probes: weak lensing cosmic shear, photometric galaxy clustering, the cross-correlation between the latter observables, and spectroscopic galaxy clustering. We also establish which precision settings are required when running the Einstein-Boltzmann solvers CLASS and CAMB in the context of Euclid. For the minimal cosmological model, extended to include dynamical dark energy, we perform Fisher matrix forecasts based directly on a numerical evaluation of second derivatives of the likelihood with respect to model parameters. We compare our results with those of other forecasting methods and tools. We show that such MontePython forecasts agree very well with previous Fisher forecasts published by the Euclid Collaboration, and also, with new forecasts produced by the CosmicFish code, now interfaced directly with the two Einstein-Boltzmann solvers CAMB and CLASS. Moreover, to establish the validity of the Gaussian approximation, we show that the Fisher matrix marginal error contours coincide with the credible regions obtained when running Monte Carlo Markov Chains with MontePython while using the exact same mock likelihoods. The new Euclid forecast pipelines presented here are ready for use with additional cosmological parameters, in order to explore extended cosmological models., 45 pages, 24 figures
Published: 2023

2. Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

Author: P. Tallada Crespí, Alina Kiessling, L. Stanco, Y. Copin, E. Zucca, Edwin A. Valentijn, L. Moscardini, C. A. J. Duncan, F. Torradeflot, G. Sirri, Bahram Mobasher, F. J. Castander, Harry I. Teplitz, F. Pasian, H. Degaudenzi, Marian Douspis, Santiago Serrano, E. Munari, Henk Hoekstra, Stefano Cavuoti, C. Sirignano, Jean Coupon, G. Mainetti, Massimo Brescia, S. Bardelli, Ariel G. Sánchez, Stefano Camera, Matteo Viel, Pablo Fosalba, V. Scottez, A. Balaguera-Antolínez, D. Di Ferdinando, G. Polenta, R. B. Metcalf, J. Nightingale, Andrea Zacchei, G. A. Verdoes Kleijn, Jason Rhodes, V. Capobianco, Enrico Bozzo, Gianluca Castignani, Florent Sureau, Natalia Auricchio, L. Patrizii, Ivan Lloro, L. Whittaker, Doug Potter, C. S. Carvalho, B. Kubik, S. Casas, M. Fabricius, R. Cledassou, Andrea Biviano, J. Valiviita, Nabila Aghanim, E. Borsato, Peter Schneider, K. Pedersen, M. Frailis, Carlo Baccigalupi, Lucia Pozzetti, I. Davidzon, Sandrine Pires, Andrea Cimatti, Domenico Sapone, Eugenio Maiorano, Massimo Meneghetti, C. C. Kirkpatrick, S. de la Torre, J. Carretero, S. Dusini, Roberto Scaramella, M. Farina, R. Nakajima, G. Congedo, Ralf Bender, Pedro G. Ferreira, David B. Sanders, B. Morin, Ole Marggraf, Peter Capak, Martin Kunz, P. Flose-Reimberg, Luca Conversi, Giuseppe Riccio, A. Balestra, Stéphane Paltani, M. Tenti, W. Gillard, Luca Valenziano, M. Schultheis, Carlo Giocoli, Martin Kilbinger, Carlo Burigana, P. B. Lilje, P. Hudelot, Ken Ganga, Marco Baldi, A. Da Silva, P. Franzetti, D. Masters, S. Kermiche, N. Hernitschek, F. Raison, Anne Costille, S. A. Stanford, C. Bodendorf, Leonardo Corcione, Daniel Stern, Frank Grupp, Romain Teyssier, Stefano Andreon, Herve Aussel, Mischa Schirmer, Cristobal Padilla, Adam Amara, E. Romelli, Ghassem Gozaliasl, Yu Wang, Marco Castellano, Enzo Branchini, N. Martinet, Mark Cropper, M. Poncet, Sami-Matias Niemi, G. Seidel, Ismael Tereno, F. Dubath, Hélène M. Courtois, C. J. Conselice, Katarina Markovic, Davide Maino, Felix Hormuth, A. Cappi, S. Maurogordato, D. Bonino, Roberto P. Saglia, Simona Mei, V. Lindholm, E. Keihänen, Richard Massey, Knud Jahnke, Georges Meylan, Mauro Roncarelli, S. Farrens, Sotiria Fotopoulou, A. N. Taylor, Matteo Maturi, W. Holmes, A. Renzi, Federico Marulli, M. Fumana, Ricard Casas, C. Colodro-Conde, Bianca Garilli, Michele Moresco, Jarle Brinchmann, G. Zamorani, M. Kümmel, R. Kohley, Sebastiano Ligori, E. Franceschi, Rafael Toledo-Moreo, Achille A. Nucita, X. Dupac, Stein Vidar Hagfors Haugan, L. Popa, Javier Graciá-Carpio, C. Neissner, Remi A. Cabanac, Hannu Kurki-Suonio, S. Galeotta, Jean-Gabriel Cuby, Thomas D. Kitching, Behnam Darvish, Emanuel Rossetti, Julien Zoubian, T. Vassallo, A. Secroun, E. Medinaceli, J. G. Cohen, Valeria Pettorino, Carmelita Carbone, René J. Laureijs, Fabio Finelli, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), 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), 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 de Paris (UP), Centre de Calcul de l'IN2P3 (CC-IN2P3), 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 Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), 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), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), 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), 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), Stanford, S. A., Masters, D., Darvish, B., Stern, D., Cohen, J. G., Capak, P., Hernitschek, N., Davidzon, I., Rhodes, J., Sanders, D. B., Mobasher, B., Castander, F. J., Paltani, S., Aghanim, N., Amara, A., Auricchio, N., Balestra, A., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brinchmann, J., Capobianco, V., Carbone, C., Carretero, J., Casas, R., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Conselice, C. J., Corcione, L., Costille, A., Cropper, M., Degaudenzi, H., Douspis, M., Dubath, F., Dusini, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Giocoli, C., Grupp, F., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kiessling, A., Kilbinger, M., Kitching, T., Kubik, B., Kummel, M., Kunz, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Marggraf, O., Markovic, K., Massey, R., Meneghetti, M., Meylan, G., Moscardini, L., Niemi, S. M., Padilla, C., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Taylor, A. N., Teplitz, H. I., Tereno, I., Toledo-Moreo, R., Valentijn, E. A., Valenziano, L., Verdoes Kleijn, G. A., Wang, Y., Zamorani, G., Zoubian, J., Brescia, M., Congedo, G., Conversi, L., Copin, Y., Kermiche, S., Kohley, R., Medinaceli, E., Mei, S., Moresco, M., Morin, B., Munari, E., Polenta, G., Sureau, F., Tallada Crespi, P., Vassallo, T., Zacchei, A., Andreon, S., Aussel, H., Baccigalupi, C., Balaguera-Antolinez, A., Baldi, M., Bardelli, S., Biviano, A., Borsato, E., Bozzo, E., Burigana, C., Cabanac, R., Camera, S., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J. -G., Da Silva, A., De La Torre, S., Di Ferdinando, D., Duncan, C. A. J., Dupac, X., Fabricius, M., Farina, M., Farrens, S., Ferreira, P. G., Finelli, F., Flose-Reimberg, P., Fotopoulou, S., Galeotta, S., Ganga, K., Gillard, W., Gozaliasl, G., Gracia-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Martinet, N., Marulli, F., Maturi, M., Maurogordato, S., Metcalf, R. B., Nakajima, R., Neissner, C., Nightingale, J. W., Nucita, A. A., Patrizii, L., Potter, D., Renzi, A., Riccio, G., Romelli, E., Sanchez, A. G., Sapone, D., Schirmer, M., Schultheis, M., Scottez, V., Stanco, L., Tenti, M., Teyssier, R., Torradeflot, F., Valiviita, J., Viel, M., Whittaker, L., Zucca, E., Astronomy, Stanford S.A., Masters D., Darvish B., Stern D., Cohen J.G., Capak P., Hernitschek N., Davidzon I., Rhodes J., Sanders D.B., Mobasher B., Castander F.J., Paltani S., Aghanim N., Amara A., Auricchio N., Balestra A., Bender R., Bodendorf C., Bonino D., Branchini E., Brinchmann J., Capobianco V., Carbone C., Carretero J., Casas R., Castellano M., Cavuoti S., Cimatti A., Cledassou R., Conselice C.J., Corcione L., Costille A., Cropper M., Degaudenzi H., Douspis M., Dubath F., Dusini S., Fosalba P., Frailis M., Franceschi E., Franzetti P., Fumana M., Garilli B., Giocoli C., Grupp F., Haugan S.V.H., Hoekstra H., Holmes W., Hormuth F., Hudelot P., Jahnke K., Kiessling A., Kilbinger M., Kitching T., Kubik B., Kummel M., Kunz M., Kurki-Suonio H., Laureijs R., Ligori S., Lilje P.B., Lloro I., Maiorano E., Marggraf O., Markovic K., Massey R., Meneghetti M., Meylan G., Moscardini L., Niemi S.M., Padilla C., Pasian F., Pedersen K., Pettorino V., Pires S., Poncet M., Popa L., Pozzetti L., Raison F., Roncarelli M., Rossetti E., Saglia R., Scaramella R., Schneider P., Secroun A., Seidel G., Serrano S., Sirignano C., Sirri G., Taylor A.N., Teplitz H.I., Tereno I., Toledo-Moreo R., Valentijn E.A., Valenziano L., Verdoes Kleijn G.A., Wang Y., Zamorani G., Zoubian J., Brescia M., Congedo G., Conversi L., Copin Y., Kermiche S., Kohley R., Medinaceli E., Mei S., Moresco M., Morin B., Munari E., Polenta G., Sureau F., Tallada Crespi P., Vassallo T., Zacchei A., Andreon S., Aussel H., Baccigalupi C., Balaguera-Antolinez A., Baldi M., Bardelli S., Biviano A., Borsato E., Bozzo E., Burigana C., Cabanac R., Camera S., Cappi A., Carvalho C.S., Casas S., Castignani G., Colodro-Conde C., Coupon J., Courtois H.M., Cuby J.-G., Da Silva A., De La Torre S., Di Ferdinando D., Duncan C.A.J., Dupac X., Fabricius M., Farina M., Farrens S., Ferreira P.G., Finelli F., Flose-Reimberg P., Fotopoulou S., Galeotta S., Ganga K., Gillard W., Gozaliasl G., Gracia-Carpio J., Keihanen E., Kirkpatrick C.C., Lindholm V., Mainetti G., Maino D., Martinet N., Marulli F., Maturi M., Maurogordato S., Metcalf R.B., Nakajima R., Neissner C., Nightingale J.W., Nucita A.A., Patrizii L., Potter D., Renzi A., Riccio G., Romelli E., Sanchez A.G., Sapone D., Schirmer M., Schultheis M., Scottez V., Stanco L., Tenti M., Teyssier R., Torradeflot F., Valiviita J., Viel M., Whittaker L., and Zucca E.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), [PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], Calibration (statistics), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Color space, 01 natural sciences, Cosmology, Large-scale structure, 010309 optics, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], galaxy, spectroscopy, Settore FIS/05 - Astronomia e Astrofisica, Spitzer Space Telescope, 0103 physical sciences, DISTRIBUTIONS, Astrophysics::Solar and Stellar Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), PHOTOMETRIC REDSHIFTS, 010303 astronomy & astrophysics, Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Physics, Hardware_MEMORYSTRUCTURES, Astrophysics::Instrumentation and Methods for Astrophysics, Euclid, Astronomy and Astrophysics, Redshift, Galaxy, Space and Planetary Science, Galaxy spectroscopy, Dark energy, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Stanford, S. A., et al., The Complete Calibration of the Color–Redshift Relation (C3R2) survey is obtaining spectroscopic redshifts in order to map the relation between galaxy color and redshift to a depth of i ∼ 24.5 (AB). The primary goal is to enable sufficiently accurate photometric redshifts for Stage iv dark energy projects, particularly Euclid and the Nancy Grace Roman Space Telescope (Roman), which are designed to constrain cosmological parameters through weak lensing. We present 676 new high-confidence spectroscopic redshifts obtained by the C3R2 survey in the 2017B–2019B semesters using the DEIMOS, LRIS, and MOSFIRE multiobject spectrographs on the Keck telescopes. Combined with the 4454 redshifts previously published by this project, the C3R2 survey has now obtained and published 5130 high-quality galaxy spectra and redshifts. If we restrict consideration to only the 0.2 < zp < 2.6 range of interest for the Euclid cosmological goals, then with the current data release, C3R2 has increased the spectroscopic redshift coverage of the Euclid color space from 51% (as reported by Masters et al.) to the current 91%. Once completed and combined with extensive data collected by other spectroscopic surveys, C3R2 should provide the spectroscopic calibration set needed to enable photometric redshifts to meet the cosmology requirements for Euclid, and make significant headway toward solving the problem for Roman.
Published: 2021

3. Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

Author: C. Colodro-Conde, Marco Baldi, K. Pedersen, F. Sureau, Sebastiano Ligori, M. Fabricius, F. Torradeflot, Chiara Sirignano, L. Whittaker, Michele Moresco, J. Valiviita, Sandrine Pires, Christopher J. Conselice, Andrea Zacchei, Natalia Auricchio, A. Renzi, Peter Schneider, M. Tenti, E. Romelli, Elisabetta Maiorano, P. Tallada Crespa, A. Ealet, Eric Jullo, Yu Wang, Marco Castellano, Hendrik Hildebrandt, S. Paltani, K. Markovic, Fabio Pasian, Hélène M. Courtois, E. Franceschi, Enzo Branchini, A. Secroun, N. Martinet, Mark Cropper, Stein Vidar Hagfors Haugan, Adam Amara, Ghassem Gozaliasl, D. Masters, Martin Kunz, G. Seidel, Ismael Tereno, A. Cappi, Leonardo Corcione, Emanuel Rossetti, Ralf Bender, Pedro G. Ferreira, Giuseppe Riccio, Massimo Brescia, D. Di Ferdinando, G. Zamorani, Stefano Borgani, D. Bonino, X. Dupac, Lauro Moscardini, C. Baccigalupi, B. Morin, Rafael Toledo-Moreo, Federico Marulli, C. Padilla, A. Boucaud, Jason Rhodes, F. Dubath, Javier Graciá-Carpio, Remi A. Cabanac, S. Casas, Roberto P. Saglia, F. Grupp, S. Galeotta, Enrico Bozzo, V. Scottez, Luca Valenziano, B. Gillis, Alina Kiessling, L. Popa, R. Cledassou, V. Capobianco, L. Patrizii, Julien Zoubian, Iary Davidzon, Carlo Burigana, Hannu Kurki-Suonio, Jean Coupon, L. Conversi, H. J. McCracken, Lucia Pozzetti, T. Vassallo, Edwin A. Valentijn, G. Sirri, Jean-Gabriel Cuby, N. Welikala, S. Dusini, R. Nakajima, Matteo Maturi, H. Degaudenzi, P. Franzetti, A. Balestra, Stefano Cavuoti, Ole Marggraf, C. S. Carvalho, S. Bardelli, Ruyman Azzollini, W. Gillard, E. Keihänen, A. Da Silva, R. Benton Metcalf, G. Polenta, Gianluca Castignani, S. Maurogordato, M. Poncet, O. Ilbert, Stefano Andreon, Richard Massey, Knud Jahnke, E. Zucca, E. Medinaceli, Mauro Roncarelli, S. Farrens, C. A. J. Duncan, C. Neissner, Doug Potter, Andrea Tramacere, Jochen Weller, Sotiria Fotopoulou, F. J. Castander, J. Carretero, S. Serrano, Pablo Fosalba, Andrea Cimatti, E. Munari, R. Pello, Anne Costille, Tim Schrabback, Stefano Camera, Y. Copin, L. Stanco, W. A. Holmes, Domenico Sapone, I. Lloro, Harry I. Teplitz, B. Garilli, Clotilde Laigle, Ariel G. Sánchez, Luigi Guzzo, F. Raison, N. Mauri, P. B. Lilje, C. Bodendorf, A. Balaguera-Antolínez, Valeria Pettorino, Carmelita Carbone, Fabio Finelli, Andrea Biviano, Angus H. Wright, J. Nightingale, S. de la Torre, S. Niemi, Carlo Giocoli, G. Congedo, S. Kermiche, C. C. Kirkpatrick, Davide Maino, Felix Hormuth, Simona Mei, Astronomy, Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), University of New South Wales [Sydney] (UNSW), 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), California Institute of Technology (CALTECH), University of Copenhagen = Københavns Universitet (KU), INAF - Osservatorio Astronomico di Bologna (OABO), Istituto Nazionale di Astrofisica (INAF), 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 de Paris (UP), Laboratoire Astrophysique de Toulouse-Tarbes (LATT), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Laboratoire de Cosmologie, Astrophysique Stellaire & Solaire, de Planétologie et de Mécanique des Fluides (CASSIOPEE), Université Nice Sophia Antipolis (... - 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, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), University of California [Merced], University of California, Centre National d'Études Spatiales [Toulouse] (CNES), Herschel Science Center [Madrid], European Space Astronomy Centre (ESAC), European Space Agency (ESA)-European Space Agency (ESA), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), 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), University of Geneva [Switzerland], Centre d'étude spatiale des rayonnements (CESR), Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), 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 de Paris (UP), University of Oxford [Oxford], 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 Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), University of Bordeaux, CNRS, UMR 5805 EPOC, Pessac, France, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Fondation FondaMental [Créteil], Université Paris-Sorbonne - Paris 4 - École des hautes études en sciences de l'information et de la communication (UP4 CELSA), Université Paris-Sorbonne (UP4), Laboratoire Européen Performance Santé Altitude (LEPSA), Université de Perpignan Via Domitia (UPVD), Wuhan University [China], Euclid Collaboration, Department of Physics, Research Program in Systems Oncology, Helsinki Institute of Physics, Ilbert, O., De La Torre, S., Martinet, N., Wright, A. H., Paltani, S., Laigle, C., Davidzon, I., Jullo, E., Hildebrandt, H., Masters, D. C., Amara, A., Conselice, C. J., Andreon, S., Auricchio, N., Azzollini, R., Baccigalupi, C., Balaguera-Antolinez, A., Baldi, M., Balestra, A., Bardelli, S., Bender, R., Biviano, A., Bodendorf, C., Bonino, D., Borgani, S., Boucaud, A., Bozzo, E., Branchini, E., Brescia, M., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, S., Castander, F. J., Castellano, M., Castignani, G., Cavuoti, S., Cimatti, A., Cledassou, R., Colodro-Conde, C., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Costille, A., Coupon, J., Courtois, H. M., Cropper, M., Cuby, J., Da Silva, A., Degaudenzi, H., Di Ferdinando, D., Dubath, F., Duncan, C., Dupac, X., Dusini, S., Ealet, A., Fabricius, M., Farrens, S., Ferreira, P. G., Finelli, F., Fosalba, P., Fotopoulou, S., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Gozaliasl, G., Gracia-Carpio, J., Grupp, F., Guzzo, L., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Keihanen, E., Kermiche, S., Kiessling, A., Kirkpatrick, C. C., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Maiorano, E., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Maturi, M., Mauri, N., Maurogordato, S., Mccracken, H. J., Medinaceli, E., Mei, S., Benton Metcalf, R., Moresco, M., Morin, B., Moscardini, L., Munari, E., Nakajima, R., Neissner, C., Niemi, S., Nightingale, J., Padilla, C., Pasian, F., Patrizii, L., Pedersen, K., Pello, R., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Potter, D., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sanchez, A. G., Sapone, D., Schneider, P., Schrabback, T., Scottez, V., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Sureau, F., Tallada Crespa, P., Tenti, M., Teplitz, H. I., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tramacere, A., Valentijn, E. A., Valenziano, L., Valiviita, J., Vassallo, T., Wang, Y., Welikala, N., Weller, J., Whittaker, L., Zacchei, A., Zamorani, G., Zoubian, J., Zucca, E., 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), University of Copenhagen = Københavns Universitet (UCPH), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), 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)-Université Fédérale Toulouse Midi-Pyrénées-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), 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), 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), Université de Genève = University of Geneva (UNIGE), 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), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA (UMR_8112)), 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), University of Zurich, Ilbert, O, Ilbert O., De La Torre S., Martinet N., Wright A.H., Paltani S., Laigle C., Davidzon I., Jullo E., Hildebrandt H., Masters D.C., Amara A., Conselice C.J., Andreon S., Auricchio N., Azzollini R., Baccigalupi C., Balaguera-Antolinez A., Baldi M., Balestra A., Bardelli S., Bender R., Biviano A., Bodendorf C., Bonino D., Borgani S., Boucaud A., Bozzo E., Branchini E., Brescia M., Burigana C., Cabanac R., Camera S., Capobianco V., Cappi A., Carbone C., Carretero J., Carvalho C.S., Casas S., Castander F.J., Castellano M., Castignani G., Cavuoti S., Cimatti A., Cledassou R., Colodro-Conde C., Congedo G., Conversi L., Copin Y., Corcione L., Costille A., Coupon J., Courtois H.M., Cropper M., Cuby J., Da Silva A., Degaudenzi H., Di Ferdinando D., Dubath F., Duncan C., Dupac X., Dusini S., Ealet A., Fabricius M., Farrens S., Ferreira P.G., Finelli F., Fosalba P., Fotopoulou S., Franceschi E., Franzetti P., Galeotta S., Garilli B., Gillard W., Gillis B., Giocoli C., Gozaliasl G., Gracia-Carpio J., Grupp F., Guzzo L., Haugan S.V.H., Holmes W., Hormuth F., Jahnke K., Keihanen E., Kermiche S., Kiessling A., Kirkpatrick C.C., Kunz M., Kurki-Suonio H., Ligori S., Lilje P.B., Lloro I., Maino D., Maiorano E., Marggraf O., Markovic K., Marulli F., Massey R., Maturi M., Mauri N., Maurogordato S., McCracken H.J., Medinaceli E., Mei S., Benton Metcalf R., Moresco M., Morin B., Moscardini L., Munari E., Nakajima R., Neissner C., Niemi S., Nightingale J., Padilla C., Pasian F., Patrizii L., Pedersen K., Pello R., Pettorino V., Pires S., Polenta G., Poncet M., Popa L., Potter D., Pozzetti L., Raison F., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Rossetti E., Saglia R., Sanchez A.G., Sapone D., Schneider P., Schrabback T., Scottez V., Secroun A., Seidel G., Serrano S., Sirignano C., Sirri G., Stanco L., Sureau F., Tallada Crespa P., Tenti M., Teplitz H.I., Tereno I., Toledo-Moreo R., Torradeflot F., Tramacere A., Valentijn E.A., Valenziano L., Valiviita J., Vassallo T., Wang Y., Welikala N., Weller J., Whittaker L., Zacchei A., Zamorani G., Zoubian J., Zucca E., German Research Foundation, European Commission, Centre National D'Etudes Spatiales (France), and Duncan, C
Subjects: statistical [Methods], IMPACT, UNIVERSE, Astrophysics, 01 natural sciences, Dark energy, Galaxies: distances and redshift, dark energy, PHOTOMETRIC REDSHIFTS, 010303 astronomy & astrophysics, Weak gravitational lensing, Photometric redshift, media_common, Physics, distances and redshift [Galaxies], Galaxies: distances and redshifts, Methods: statistical, SIMULATION, astro-ph.CO, 3103 Astronomy and Astrophysics, Probability distribution, Spectral energy distribution, galaxies: distances and redshifts, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 530 Physics, astro-ph.GA, media_common.quotation_subject, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 1912 Space and Planetary Science, 0103 physical sciences, distances and redshifts [Galaxies], DISTRIBUTIONS, methods: statistical, 010308 nuclear & particles physics, Astronomy and Astrophysics, PERFORMANCE, 115 Astronomy, Space science, Astrophysics - Astrophysics of Galaxies, EVOLUTION, Galaxy, Universe, Redshift, STELLAR, RESOLUTION, Space and Planetary Science, 10231 Institute for Computational Science, Astrophysics of Galaxies (astro-ph.GA), [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract: Ilbert, O., et al. (Euclid Collaboration), The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy equation of state relies on an accurate knowledge of the galaxy mean redshift ⟨ z⟩. We investigate the possibility of measuring ⟨ z»with an accuracy better than 0.002(1 + z) in ten tomographic bins spanning the redshift interval 0.2 99.8%. The zPDF approach can also be successful if the zPDF is de-biased using a spectroscopic training sample. This approach requires deep imaging data but is weakly sensitive to spectroscopic redshift failures in the training sample. We improve the de-biasing method and confirm our finding by applying it to real-world weak-lensing datasets (COSMOS and KiDS+VIKING-450)., 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). A.H. Wright is supported by the ERC Consolidator Grant (No. 770935). This work relied on the HPC resources of CINES (Jade) under the allocation 2013047012 and c2014047012 made by GENCI and on the Horizon Cluster hosted by Institut d’Astrophysique de Paris. ID acknowledges that he received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 896225. We warmly thank S. Rouberol for running the cluster on which the simulation was post-processed. This research is also partly supported by the Centre National d’Etudes Spatiales (CNES). We would also like to recognise the contributions from all of the members of the COSMOS team who helped in obtaining and reducing the large amount of multi-wavelength and spectroscopic data. Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme IDs 177.A-3016, 177.A-3017, 177.A-3018, 179.A-2004, and on data products produced by the KiDS consortium. The KiDS production team acknowledges support from: Deutsche Forschungsgemeinschaft, ERC, NOVA and NWO-M grants; Target; the University of Padova, and the University Federico II (Naples). SA thank the support PRIN MIUR2015 “Cosmology and Fundamental Physics: Illuminating the Dark Universe with Euclid”.
Published: 2021

4. Euclid: Forecasts for k-cut 3×2 Point Statistics

Author: Richard Massey, Knud Jahnke, Harry Teplitz, J. Carretero, R. P. Saglia, Domenico Sapone, I. Lloro, Natalia Auricchio, M. Martinelli, Massimo Brescia, B. Garilli, F. Raison, Carmelita Carbone, Yu Wang, P. Tallada Crespí, Jochen Weller, Stefano Camera, L. Moscardini, S. Kermiche, Leonardo Corcione, Daniele Tavagnacco, B. Gillis, Stein Vidar Hagfors Haugan, B. Morin, Ole Marggraf, C. Giocoli, Edwin A. Valentijn, G. Sirri, I. Tutusaus, Stefano Cavuoti, S. Casas, K. Pedersen, S. Pires, W. A. Holmes, V. Yankelevich, A. Boucaud, V. Capobianco, S. Paltani, L. Conversi, C. Bodendorf, T. Kitching, G. Polenta, L. Popa, R. Cledassou, M. Poncet, T. Vassallo, A. Zacchei, M. Kilbinger, A. Balestra, Andy Taylor, Will J. Percival, E. Branchini, M. Castellano, V. Pettorino, Mauro Roncarelli, Luigi Guzzo, Massimo Meneghetti, Agnès Ferté, F. Bernardeau, E. M. Huff, G. Congedo, A. Secroun, Mark Cropper, K. Markovic, G. Seidel, Ismael Tereno, A. Cimatti, G. Meylan, S. Niemi, Felix Hormuth, F. Sureau, Sebastiano Ligori, Michele Moresco, P. B. Lilje, Simona Mei, Hannu Kurki-Suonio, S. Serrano, V. F. Cardone, Emanuel Rossetti, C. Padilla, A. C. Deshpande, Julien Zoubian, E. Franceschi, Alkistis Pourtsidou, Jason Rhodes, E. Medinaceli, Rafael Toledo-Moreo, Luca Valenziano, Peter Taylor, D. Bonino, Chiara Sirignano, M. Kunz, Z. Sakr, Peter Schneider, Fabio Pasian, Taylor, Peter L., Kitching, T., Cardone, V. F., Ferté, A., Huff, E. M., Bernardeau, F., Rhodes, J., Deshpande, A. C., Tutusaus, I., Pourtsidou, Alkisti, Camera, S., Carbone, C., Casas, S., Martinelli, M., Pettorino, V., Sakr, Z., Sapone, D., Yankelevich, V., Auricchio, N., Balestra, A., Bodendorf, C., Bonino, D., Boucaud, A., Branchini, Enzo, Brescia, M., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Corcione, L., Cropper, Mark, Franceschi, E., Garilli, B., Gillis, B., Giocoli, C., Guzzo, L., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, Knud, Kermiche, S., Kilbinger, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, Per B., Lloro, I., Marggraf, O., Markovic, K., Massey, R., Mei, S., Medinaceli, E., Meneghetti, M., Meylan, G., Moresco, M., Morin, B., Moscardini, Lauro, Niemi, S., Padilla, C., Pasian, F., Paltani, S., Pedersen, K., Pires, S., Percival, Will J., Polenta, G., Poncet, M., Popa, L., Raison, F., Roncarelli, M., Rossetti, E., Saglia, R., Schneider, Peter, Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Sureau, F., Crespí, P. Tallada, Tavagnacco, D., Taylor, A. N., Teplitz, H. I., Tereno, I., Toledo-Moreo, R., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Yun, Weller, Jochen, Zacchei, A., and Zoubian, J.
Subjects: Physics, Spectral density, Astrophysics::Cosmology and Extragalactic Astrophysics, Galaxy, Baryon, Statistics, Dark energy, astro-ph.CO, Matrix analysis, Sensitivity (control systems), Cluster analysis, Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Modelling uncertainties at small scales, i.e. high $k$ in the power spectrum $P(k)$, due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining power of the {\it Euclid} wide-field survey. $k$-cut cosmic shear has recently been proposed as a method to optimally remove sensitivity to these scales while preserving usable information. In this paper we generalise the $k$-cut cosmic shear formalism to $3 \times 2$ point statistics and estimate the loss of information for different $k$-cuts in a $3 \times 2$ point analysis of the {\it Euclid} data. Extending the Fisher matrix analysis of~\citet{blanchard2019euclid}, we assess the degradation in constraining power for different $k$-cuts. We work in the idealised case and assume the galaxy bias is linear, the covariance is Gaussian, while neglecting uncertainties due to photo-z errors and baryonic feedback. We find that taking a $k$-cut at $2.6 \ h \ {\rm Mpc} ^{-1}$ yields a dark energy Figure of Merit (FOM) of 1018. This is comparable to taking a weak lensing cut at $\ell = 5000$ and a galaxy clustering and galaxy-galaxy lensing cut at $\ell = 3000$ in a traditional $3 \times 2$ point analysis. We also find that the fraction of the observed galaxies used in the photometric clustering part of the analysis is one of the main drivers of the FOM. Removing $50 \% \ (90 \%)$ of the clustering galaxies decreases the FOM by $19 \% \ (62 \%)$. Given that the FOM depends so heavily on the fraction of galaxies used in the clustering analysis, extensive efforts should be made to handle the real-world systematics present when extending the analysis beyond the luminous red galaxy (LRG) sample....
Published: 2021
Full Text: View/download PDF

5. Euclid preparation

Author: Stein Vidar Hagfors Haugan, S. Paltani, S. de la Torre, W. A. Holmes, Javier Graciá-Carpio, Ghassem Gozaliasl, Remi A. Cabanac, S. Niemi, Ibrahim Almosallam, S. Galeotta, X. Dupac, Natalia Auricchio, Lauro Moscardini, Carlo Giocoli, Giuseppe Longo, Valeria Pettorino, Carmelita Carbone, E. Zucca, Luigi Guzzo, C. Bodendorf, Enzo Branchini, A. Secroun, N. Martinet, H. Degaudenzi, M. Kilbinger, F. Raison, M. Kuemmel, Roberto P. Saglia, Stefano Cavuoti, Audrey Galametz, B. Gillis, Fabio Finelli, N. Mauri, Massimo Meneghetti, S. Kermiche, M. H. Fabricius, Ismael Tereno, D. Stern, Frank Grupp, P. B. Lilje, Pablo Fosalba, V. Scottez, Andy Taylor, A. Cappi, W. G. Hartley, Giulio Fabbian, E. Keihänen, V. Capobianco, C. C. Kirkpatrick, L. Patrizii, Martin Kunz, Doug Potter, Andrea Tramacere, P. Tallada Crespí, M. Poncet, A. Alvarez-Ayllon, Sandrine Pires, Andrea Biviano, S. Serrano, C. Colodro-Conde, Chiara Sirignano, Joshua S. Speagle, K. Markovic, Yu Wang, Marco Castellano, Andrea Zacchei, Gianluca Castignani, G. Congedo, Emiliano Merlin, G. Desprez, G. Zamorani, F. Sureau, Sebastiano Ligori, Domenico Sapone, I. Lloro, A. Renzi, S. Bardelli, O. Ilbert, Stefano Andreon, A. Da Silva, M. Tenti, Michele Moresco, V. Amaro, Davide Maino, R. Saha, Felix Hormuth, A. Ealet, P. W. Hatfield, Ole Marggraf, G. Polenta, A. Balaguera-Antolinez, S. Farrens, M. Frailis, Carlo Baccigalupi, R. Benton Metcalf, Simona Mei, Sotiria Fotopoulou, Andrew Humphrey, Mark Brodwin, Federico Marulli, M. Fumana, E. Medinaceli, Rafael Toledo-Moreo, Ralf Bender, Pedro G. Ferreira, Emanuel Rossetti, Jarle Brinchmann, G. Meylan, Hannu Kurki-Suonio, C. Padilla, Leonardo Corcione, M. Hailey, Jason Rhodes, Jean-Gabriel Cuby, N. Welikala, L. Conversi, J. De Vicente-Albendea, Thomas D. Kitching, Peter Schneider, Andrea Cimatti, Luca Valenziano, Hélène M. Courtois, Matt J. Jarvis, D. Tavagnacco, Julien Zoubian, T. Vassallo, N. Fourmanoit, S. Pilo, Joseph J. Mohr, Enrico Bozzo, F. Dubath, F. J. Castander, D. Bonino, Marian Douspis, Carlo Burigana, L. Stanco, Elisabetta Maiorano, E. Munari, C. S. Carvalho, G. Sirri, L. Whittaker, Stefano Camera, Matteo Viel, L. Popa, R. Cledassou, Matteo Maturi, Ricard Casas, Fabio Pasian, Jussi-Pekka Väliviita, Jean Coupon, Marco Baldi, F. Torradeflot, Y. Copin, Massimo Brescia, D. Di Ferdinando, C. A. J. Duncan, Mara Salvato, C. J. Conselice, B. Garilli, Clotilde Laigle, B. Kubik, S. Maurogordato, Richard Massey, Knud Jahnke, M. M. Rau, Giuseppe Riccio, S. Casas, R. Kohley, Lucia Pozzetti, W. Gillard, J. Carretero, E. Franceschi, Swiss National Science Foundation, German Research Foundation, Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca, European Commission, Academy of Finland, Agenzia Spaziale Italiana, Belgian Science Policy Office, Canadian Euclid Consortium, Centre National D'Etudes Spatiales (France), German Centre for Air and Space Travel, Danish Space Research Institute, Fundação para a Ciência e a Tecnologia (Portugal), Ministerio de Economía y Competitividad (España), National Aeronautics and Space Administration (US), Netherlands Research School for Astronomy, Norwegian Space Agency, Romanian Space Agency, State Secretariat for Education, Research and Innovation (Switzerland), UK Space Agency, 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 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), 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), 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), 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), Laboratoire d'Etudes et Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d'Ingénieurs (EMI), EUCLID Collaboration, Department of Physics, Helsinki Institute of Physics, ITA, USA, GBR, FRA, DEU, ESP, 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), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-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), 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), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Desprez, G., Paltani, S., Coupon, J., Almosallam, I., Alvarez-Ayllon, A., Amaro, V., Brescia, M., Brodwin, M., Cavuoti, S., De Vicente-Albendea, J., Fotopoulou, S., Hatfield, P. W., Hartley, W. G., Ilbert, O., Jarvis, M. J., Longo, G., Rau, M. M., Saha, R., Speagle, J. S., Tramacere, A., Castellano, M., Dubath, F., Galametz, A., Kuemmel, M., Laigle, C., Merlin, E., Mohr, J. J., Pilo, S., Salvato, M., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolinez, A., Baldi, M., Bardelli, S., Bender, R., Biviano, A., Bodendorf, C., Bonino, D., Bozzo, E., Branchini, E., Brinchmann, J., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castander, F. J., Castignani, G., Cimatti, A., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courtois, H. M., Cuby, J. -G., Da Silva, A., De La Torre, S., Degaudenzi, H., DI Ferdinando, D., Douspis, M., Duncan, C. A. J., Dupac, X., Ealet, A., Fabbian, G., Fabricius, M., Farrens, S., Ferreira, P. G., Finelli, F., Fosalba, P., Fourmanoit, N., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Gozaliasl, G., Gracia-Carpio, J., Grupp, F., Guzzo, L., Hailey, M., Haugan, S. V. H., Holmes, W., Hormuth, F., Humphrey, A., Jahnke, K., Keihanen, E., Kermiche, S., Kilbinger, M., Kirkpatrick, C. C., Kitching, T. D., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Maiorano, E., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maturi, M., Mauri, N., Maurogordato, S., Medinaceli, E., Mei, S., Meneghetti, M., Benton Metcalf, R., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S., Padilla, C., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Potter, D., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Rossetti, E., Saglia, R., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Stern, D., Sureau, F., Tallada Crespi, P., Tavagnacco, D., Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zamorani, G., Zoubian, J., Zucca, E., Desprez G., Paltani S., Coupon J., Almosallam I., Alvarez-Ayllon A., Amaro V., Brescia M., Brodwin M., Cavuoti S., De Vicente-Albendea J., Fotopoulou S., Hatfield P.W., Hartley W.G., Ilbert O., Jarvis M.J., Longo G., Rau M.M., Saha R., Speagle J.S., Tramacere A., Castellano M., Dubath F., Galametz A., Kuemmel M., Laigle C., Merlin E., Mohr J.J., Pilo S., Salvato M., Andreon S., Auricchio N., Baccigalupi C., Balaguera-Antolinez A., Baldi M., Bardelli S., Bender R., Biviano A., Bodendorf C., Bonino D., Bozzo E., Branchini E., Brinchmann J., Burigana C., Cabanac R., Camera S., Capobianco V., Cappi A., Carbone C., Carretero J., Carvalho C.S., Casas R., Casas S., Castander F.J., Castignani G., Cimatti A., Cledassou R., Colodro-Conde C., Congedo G., Conselice C.J., Conversi L., Copin Y., Corcione L., Courtois H.M., Cuby J.-G., Da Silva A., De La Torre S., Degaudenzi H., DI Ferdinando D., Douspis M., Duncan C.A.J., Dupac X., Ealet A., Fabbian G., Fabricius M., Farrens S., Ferreira P.G., Finelli F., Fosalba P., Fourmanoit N., Frailis M., Franceschi E., Fumana M., Galeotta S., Garilli B., Gillard W., Gillis B., Giocoli C., Gozaliasl G., Gracia-Carpio J., Grupp F., Guzzo L., Hailey M., Haugan S.V.H., Holmes W., Hormuth F., Humphrey A., Jahnke K., Keihanen E., Kermiche S., Kilbinger M., Kirkpatrick C.C., Kitching T.D., Kohley R., Kubik B., Kunz M., Kurki-Suonio H., Ligori S., Lilje P.B., Lloro I., Maino D., Maiorano E., Marggraf O., Markovic K., Martinet N., Marulli F., Massey R., Maturi M., Mauri N., Maurogordato S., Medinaceli E., Mei S., Meneghetti M., Benton Metcalf R., Meylan G., Moresco M., Moscardini L., Munari E., Niemi S., Padilla C., Pasian F., Patrizii L., Pettorino V., Pires S., Polenta G., Poncet M., Popa L., Potter D., Pozzetti L., Raison F., Renzi A., Rhodes J., Riccio G., Rossetti E., Saglia R., Sapone D., Schneider P., Scottez V., Secroun A., Serrano S., Sirignano C., Sirri G., Stanco L., Stern D., Sureau F., Tallada Crespi P., Tavagnacco D., Taylor A.N., Tenti M., Tereno I., Toledo-Moreo R., Torradeflot F., Valenziano L., Valiviita J., Vassallo T., Viel M., Wang Y., Welikala N., Whittaker L., Zacchei A., Zamorani G., Zoubian J., and Zucca E.
Subjects: PREDICTION, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Astrophysics, Surveys, 01 natural sciences, TELESCOPE ADVANCED CAMERA, Cosmology, galaxies, Galaxies: distances and redshift, PROBABILITY DENSITY-ESTIMATION, Survey, 010303 astronomy & astrophysics, Photometric redshift, COSMOS, Physics, Ground truth, distances and redshift [Galaxies], distances and redshifts -surveys -techniques, Outlier, astro-ph.CO, Probability distribution, Catalog, [SDU.ASTR.GA]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA], Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), astro-ph.GA, miscellaneous [Techniques], Catalogs, Galaxies: distances and redshifts, Techniques: miscellaneous, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Photometry (optics), Settore FIS/05 - Astronomia e Astrofisica, 0103 physical sciences, distances and redshifts [Galaxies], 010308 nuclear & particles physics, Astronomy and Astrophysics, 115 Astronomy, Space science, Catalogues, Astrophysics - Astrophysics of Galaxies, Redshift, Galaxy, EVOLUTION, miscellaneous -catalogs, MACHINE, Space and Planetary Science, [SDU]Sciences of the Universe [physics], Astrophysics of Galaxies (astro-ph.GA), EMISSION
Abstract: Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-zs at the required accuracy using only the broad-band photometry that those surveys will provide. An assessment of the strengths and weaknesses of current methods is a crucial step in the eventual development of an approach to meet this challenge. We report on the performance of 13 photometric redshift code single value redshift estimates and redshift probability distributions (PDZs) on a common set of data, focusing particularly on the 0.2pdbl-pdbl2.6 redshift range that the Euclid mission will probe. We designed a challenge using emulated Euclid data drawn from three photometric surveys of the COSMOS field. The data was divided into two samples: one calibration sample for which photometry and redshifts were provided to the participants; and the validation sample, containing only the photometry to ensure a blinded test of the methods. Participants were invited to provide a redshift single value estimate and a PDZ for each source in the validation sample, along with a rejection flag that indicates the sources they consider unfit for use in cosmological analyses. The performance of each method was assessed through a set of informative metrics, using cross-matched spectroscopic and highly-accurate photometric redshifts as the ground truth. We show that the rejection criteria set by participants are efficient in removing strong outliers, that is to say sources for which the photo-z deviates by more than 0.15(1pdbl+pdblz) from the spectroscopic-redshift (spec-z). We also show that, while all methods are able to provide reliable single value estimates, several machine-learning methods do not manage to produce useful PDZs. We find that no machine-learning method provides good results in the regions of galaxy color-space that are sparsely populated by spectroscopic-redshifts, for example zpdbl> pdbl1. However they generally perform better than template-fitting methods at low redshift (zpdbl< pdbl0.7), indicating that template-fitting methods do not use all of the information contained in the photometry. We introduce metrics that quantify both photo-z precision and completeness of the samples (post-rejection), since both contribute to the final figure of merit of the science goals of the survey (e.g., cosmic shear from Euclid). Template-fitting methods provide the best results in these metrics, but we show that a combination of template-fitting results and machine-learning results with rejection criteria can outperform any individual method. On this basis, we argue that further work in identifying how to best select between machine-learning and template-fitting approaches for each individual galaxy should be pursued as a priority., GD and AG acknowledge the support from the Sinergia program of the Swiss National Science Foundation. Part of this work was supported by the German Deutsche Forschungsgemeinschaft, DFG project number Ts 17/2–1. MB acknowledges the financial contribution from the agreement ASI/INAF 2018-23-HH.0, Euclid ESA mission – Phase D and the INAF PRIN-SKA 2017 program 1.05.01.88.04. SC acknowledges the financial contribution from FFABR 2017. 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. A complete and detailed list is available on the Euclid website (http://www.euclid-ec.org).
Published: 2020

6. The Solar Orbiter SPICE instrument: An extreme UV imaging spectrometer

Author: P. Schlatter, Craig DeForest, A. H. Gabriel, M. Anderson, S. Meining, Richard A. Harrison, Eckart Marsch, C. Tamiatto, Udo Schühle, S. Guest, David R. Williams, C. Mercier, G. Del Zanna, Sami K. Solanki, Martin E. Caldwell, S. Tustain, R. Speight, Stein Vidar Hagfors Haugan, Gareth J. Marshall, J. Davenne, Robert F. Wimmer-Schweingruber, Donald M. Hassler, Karine Bocchialini, D. Drummond, C. Dumesnil, B. Borgo, J. Dubau, D. Kouliche, M. Gyo, Luca Teriaca, Werner Curdt, F. Baudin, Eric Buchlin, J. Barbay, G. Burton, C. Howe, A. Philippon, Jean-Claude Vial, Miho Janvier, Roman Klein, S. Parenti, Daniel Pfiffner, Hardi Peter, Joseph M. Davila, Sarah A. Matthews, Ian Tosh, T. Grundy, K. Rogers, B. Walls, S. Woodward, N. Szwec, A. Marshall, Mats Carlsson, N. Waltham, Werner Schmutz, Paul Eccleston, R. Aznar Cuadrado, T. Fredvik, Andrzej Fludra, Douglas Griffin, C. Sawyer, S. Caminade, S. Koller, Peter R. Young, G. Dunn, S. Beardsley, Viggo Hansteen, C. Pastor-Santos, G. Munro, T. Morse, A. Richards, William T. Thompson, A. De Groof, M. Haberreiter, Therese A. Kucera, C. McQuirk, A. Giunta, Alexander Gottwald, M. Spescha, F. Auchere, A. Pacros, B. Shaughnessy, N. Morris, D. Bruzzi, Sunil Sidher, Daniel Müller, P. Phelan, V. Büchel, T. Appourchaux, Space Science and Technology Department [Didcot] (RAL Space), STFC Rutherford Appleton Laboratory (RAL), Science and Technology Facilities Council (STFC)-Science and Technology Facilities Council (STFC), 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), Max Planck Institute for Solar System Research (MPS), Max-Planck-Gesellschaft, Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), University of Oslo (UiO), NASA Goddard Space Flight Center (GSFC), Southwest Research Institute [Boulder] (SwRI), Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge [UK] (CAM), Physikalisch-Technische Bundesanstalt [Berlin] (PTB), Science and Technology Facilities Council (STFC), Max-Planck-Institut für Sonnensystemforschung (MPS), Mullard Space Science Laboratory (MSSL), University College of London [London] (UCL), ESR Technology Ltd (ESR), Southwest Research Institute [San Antonio] (SwRI), School of Space Research, Kyung Hee University (KHU), ADNET Systems, Inc., Institut für Experimentelle und Angewandte Physik [Kiel] (IEAP), Christian-Albrechts-Universität zu Kiel (CAU), Newcastle University [Newcastle], European Space Astronomy Centre (ESAC), European Space Agency (ESA), and European Space Research and Technology Centre (ESTEC)
Subjects: medicine.medical_specialty, 010504 meteorology & atmospheric sciences, Spice, Imaging spectrometer, FOS: Physical sciences, Astrophysics, 7. Clean energy, 01 natural sciences, law.invention, Orbiter, Data acquisition, law, 0103 physical sciences, medicine, Calibration, Electronics, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Solar and Stellar Astrophysics (astro-ph.SR), 0105 earth and related environmental sciences, Physics, [SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Astronomy and Astrophysics, Spectral imaging, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Extreme ultraviolet, Systems engineering, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The Spectral Imaging of the Coronal Environment (SPICE) instrument is a high-resolution imaging spectrometer operating at extreme ultraviolet (EUV) wavelengths. In this paper, we present the concept, design, and pre-launch performance of this facility instrument on the ESA/NASA Solar Orbiter mission. The goal of this paper is to give prospective users a better understanding of the possible types of observations, the data acquisition, and the sources that contribute to the instrument's signal. The paper discusses the science objectives, with a focus on the SPICE-specific aspects, before presenting the instrument's design, including optical, mechanical, thermal, and electronics aspects. This is followed by a characterisation and calibration of the instrument's performance. The paper concludes with descriptions of the operations concept and data processing. The performance measurements of the various instrument parameters meet the requirements derived from the mission's science objectives. The SPICE instrument is ready to perform measurements that will provide vital contributions to the scientific success of the Solar Orbiter mission., Comment: A&A, accepted 19 August 2019; 26 pages, 25 figures
Published: 2020

7. Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes

Author: Jochen Weller, Rafael Toledo-Moreo, Frank Grupp, Stefano Camera, Enzo Branchini, M. Poncet, Ismael Tereno, A. Secroun, Lauro Moscardini, C. Padilla, F. Raison, Richard Massey, Knud Jahnke, Roberto P. Saglia, M. Frailis, Natalia Auricchio, T. Vassallo, Katarina Markovic, L. Popa, R. Cledassou, Ole Marggraf, Jason Rhodes, L. Conversi, Martin Kilbinger, V. Pettorino, M. Fumana, Luca Valenziano, Martin Kunz, Massimo Meneghetti, Niraj Welikala, Matteo Martinelli, Santiago Serrano, Massimo Brescia, Franck Sureau, P. B. Lilje, C. Bodendorf, Bianca Garilli, E. Franceschi, Stein Vidar Hagfors Haugan, F. Pasian, Stefano Cavuoti, Andrea Zacchei, I. Tutusaus, Hannu Kurki-Suonio, Thomas D. Kitching, V. Yankelevich, W. Holmes, Savvas Nesseris, Stéphane Paltani, G. Polenta, Ivan Lloro, Peter Schneider, Georges Meylan, Sandrine Pires, S. Ilić, S. Casas, J. Carretero, Carmelita Carbone, B. Gillis, Yu Wang, Marco Castellano, Carlos Martins, Lucia Pozzetti, D. Bonino, B. Kubik, C. Sirignano, Z. Sakr, Anne Ealet, Jarle Brinchmann, Mauro Roncarelli, A. N. Taylor, V. Capobianco, A. Balestra, F. Dubath, Domenico Sapone, Anastasios Avgoustidis, Leonardo Corcione, G. Sirri, S. Kermiche, Sebastiano Ligori, Felix Hormuth, Simona Mei, G. Congedo, Carlo Giocoli, Sami Niemi, La Caixa, Agencia Estatal de Investigación (España), European Commission, Fundação para a Ciência e a Tecnologia (Portugal), Fundación Severo Ochoa, Ministerio de Ciencia, Innovación y Universidades (España), Science and Technology Facilities Council (UK), Martinelli M., Martins C.J.A.P., Nesseris S., Sapone D., Tutusaus I., Avgoustidis A., Camera S., Carbone C., Casas S., Ilic S., Sakr Z., Yankelevich V., Auricchio N., Balestra A., Bodendorf C., Bonino D., Branchini E., Brescia M., Brinchmann J., Capobianco V., Carretero J., Castellano M., Cavuoti S., Cledassou R., Congedo G., Conversi L., Corcione L., Dubath F., Ealet A., Frailis M., Franceschi E., Fumana M., Garilli B., Gillis B., Giocoli C., Grupp F., Haugan S.V.H., Holmes W., Hormuth F., Jahnke K., Kermiche S., Kilbinger M., Kitching T.D., Kubik B., Kunz M., Kurki-Suonio H., Ligori S., Lilje P.B., Lloro I., Marggraf O., Markovic K., Massey R., Mei S., Meneghetti M., Meylan G., Moscardini L., Niemi S., Padilla C., Paltani S., Pasian F., Pettorino V., Pires S., Polenta G., Poncet M., Popa L., Pozzetti L., Raison F., Rhodes J., Roncarelli M., Saglia R., Schneider P., Secroun A., Serrano S., Sirignano C., Sirri G., Sureau F., Taylor A.N., Tereno I., Toledo-Moreo R., Valenziano L., Vassallo T., Wang Y., Welikala N., Weller J., Zacchei A., Department of Physics, Helsinki Institute of Physics, Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut de recherche en astrophysique et planétologie (IRAP), 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), Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), 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), 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, ITA, USA, GBR, FRA, DEU, ESP, 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 des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), 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), 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), Martinelli, M., Martins, C. J. A. P., Nesseris, S., Sapone, D., Tutusaus, I., Avgoustidis, A., Camera, S., Carbone, C., Casas, S., Ilic, S., Sakr, Z., Yankelevich, V., Auricchio, N., Balestra, A., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conversi, L., Corcione, L., Dubath, F., Ealet, A., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kilbinger, M., Kitching, T. D., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Marggraf, O., Markovic, K., Massey, R., Mei, S., Meneghetti, M., Meylan, G., Moscardini, L., Niemi, S., Padilla, C., Paltani, S., Pasian, F., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rhodes, J., Roncarelli, M., Saglia, R., Schneider, P., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Sureau, F., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Valenziano, L., Vassallo, T., Wang, Y., Welikala, N., Weller, J., and Zacchei, A.
Subjects: cosmological model, Cosmological parameter, statistical [Methods], SAMPLE, Physics beyond the Standard Model, Cosmological parameters, Cosmology: observations, Methods: data analysis, Methods: statistical, Space vehicles: instruments, Surveys, Astrophysics, 01 natural sciences, INTERGALACTIC DUST, Cosmology: observation, current: constraint, parameter space, space vehicles: instruments, observations [Cosmology], data analysis [Methods], 010303 astronomy & astrophysics, SCALE, Parametric statistics, Physics, new physics, photon, EXPANSION, GALAXIES, Metric (mathematics), astro-ph.CO, duality, Baryon acoustic oscillations, cosmology: observations / cosmological parameters / surveys / methods: data analysis / methods: statistical / space vehicles: instruments, Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), REDSHIFT, Duality (optimization), FOS: Physical sciences, observation [Cosmology], Context (language use), Lambda-CDM model, gravitation: metric, parametric, Astrophysics::Cosmology and Extragalactic Astrophysics, Space vehicles: instrument, instruments [Space vehicles], statistical analysis, instrument [Space vehicles], 0103 physical sciences, conservation law, Point (geometry), cosmological parameters, 010308 nuclear & particles physics, Astronomy and Astrophysics, MICROWAVE BACKGROUND TEMPERATURE, 115 Astronomy, Space science, methods: data analysis, data analysi [Methods], Space and Planetary Science, cosmology: observations, COSMOLOGY, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], BARYON ACOUSTIC-OSCILLATIONS, Methods: data analysi
Abstract: [Context] In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance duality relation (DDR). A violation of this relation would rule out the standard cosmological paradigm and point to the presence of new physics. Aims. We quantify the ability of Euclid, in combination with contemporary surveys, to improve the current constraints on deviations from the DDR in the redshift range 0 < z < 1.6., [Methods] We start with an analysis of the latest available data, improving previously reported constraints by a factor of 2.5. We then present a detailed analysis of simulated Euclid and external data products, using both standard parametric methods (relying on phenomenological descriptions of possible DDR violations) and a machine learning reconstruction using genetic algorithms., [Results] We find that for parametric methods Euclid can (in combination with external probes) improve current constraints by approximately a factor of six, while for non-parametric methods Euclid can improve current constraints by a factor of three.; [Conclusions] Our results highlight the importance of surveys like Euclid in accurately testing the pillars of the current cosmological paradigm and constraining physics beyond the standard cosmological model., MM has received the support of a fellowship from “la Caixa” Foundation (ID 100010434), with fellowship code LCF/BQ/PI19/11690015, and the support of the Spanish Agencia Estatal de Investigacion through the grant “IFT Centro de Excelencia Severo Ochoa SEV-2016-0597”. 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. S.N. acknowledges support from the research project PGC2018-094773-B-C32, the Centro de Excelencia Severo Ochoa Program SEV-2016-059 and the Ramón y Cajal program through Grant No. RYC-2014-15843. D.S. acknowledges financial support from the Fondecyt Regular project number 1200171. I.T. acknowledges support from the Spanish Ministry of Science, Innovation and Universities through grant ESP2017-89838-C3-1-R, and the H2020 programme of the European Commission through grant 776247. A.A. acknowledges support from the Science and Technology Facilities Council (STFC) grant ST/P000703/1. V.Y. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 769130)
Published: 2020

8. SSTRED: Data- and metadata-processing pipeline for CHROMIS and CRISP

Author: T. Fredvik, T. Hillberg, Göran B. Scharmer, Jaime de la Cruz Rodríguez, Mats G. Löfdahl, Oleksii Andriienko, G. J. M. Vissers, and Stein Vidar Hagfors Haugan
Subjects: Physics, 010504 meteorology & atmospheric sciences, Pipeline (computing), Imaging spectrometer, FOS: Physical sciences, Astronomy and Astrophysics, Context (language use), Astrophysics, Filter (signal processing), 01 natural sciences, Data cube, Metadata, Space and Planetary Science, Computer graphics (images), 0103 physical sciences, Instrumentation (computer programming), Astrophysics - Instrumentation and Methods for Astrophysics, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Image restoration, 0105 earth and related environmental sciences
Abstract: Context: Data from ground-based, high-resolution solar telescopes can only be used for science with calibrations and processing, which requires detailed knowledge about the instrumentation. [...] Aims: We aim to provide observers with a user-friendly data pipeline for data from the Swedish 1-meter Solar Telescope (SST) that delivers science-ready data together with the metadata needed for proper interpretation and archiving. Methods: We briefly describe the [instrumentation]. We summarize the processing steps from raw data to science-ready data cubes in FITS files. We report calibrations and compensations for data imperfections in detail. Misalignment of \ion{Ca}{ii} data due to wavelength-dependent dispersion is identified, characterized, and compensated for. We describe intensity calibrations that remove or reduce the effects of filter transmission profiles as well as solar elevation changes. We present REDUX, a new version of the MOMFBD image restoration code, with multiple enhancements and new features. [...] We describe how image restoration is used [...]. The science-ready output is delivered in FITS files, with metadata compliant with the SOLARNET recommendations. Data cube coordinates are specified within the World Coordinate System (WCS). Cavity errors are specified as distortions of the WCS wavelength coordinate with an extension of existing WCS notation. We establish notation for specifying the reference system for Stokes vectors [...]. [CRISPEX] has been extended to accept SSTRED output [...]. Results: SSTRED is a mature data-processing pipeline for imaging instruments, developed and used for the SST/CHROMIS imaging spectrometer and the SST/CRISP spectropolarimeter. SSTRED delivers well-characterized, science-ready, archival-quality FITS files with well-defined metadata. The SSTRED code, as well as REDUX and CRISPEX, is freely available through git repositories., Comment: Accepted for publication in A&A
Published: 2018
Full Text: View/download PDF

9. The design strategy of scientific data quality control software for Euclid mission

Author: Massimo Brescia, Stefano Cavuoti, Terje Fredvik, Stein Vidar Hagfors Haugan, Ghassem Gozaliasl, Charles Kirkpatrick, Hannu Kurki-Suonio, Giuseppe Longo, Kari Nilsson, Martin Wiesmann, Molinaro, M, Shortridge, K, Pasian, F, Department of Physics, Helsinki Institute of Physics, Particle Physics and Astrophysics, Marco Molinaro, Keith Shortridge, and Fabio Pasian, Brescia, Massimo, Cavuoti, Stefano, Fredvik, Terje, Vidar Hagfors Haugan, Stein, Gozaliasl, Ghassem, Kirkpatrick, Charle, Kurki-Suonio, Hannu, Longo, Giuseppe, Nilsson, Kari, Wiesmann, Martin, and Haugan, Stein Vidar Hagfor
Subjects: FOS: Physical sciences, 115 Astronomy, Space science, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM)
Abstract: The most valuable asset of a space mission like Euclid are the data. Due to their huge volume, the automatic quality control becomes a crucial aspect over the entire lifetime of the experiment. Here we focus on the design strategy for the Science Ground Segment (SGS) Data Quality Common Tools (DQCT), which has the main role to provide software solutions to gather, evaluate, and record quality information about the raw and derived data products from a primarily scientific perspective. The SGS DQCT will provide a quantitative basis for evaluating the application of reduction and calibration reference data, as well as diagnostic tools for quality parameters, flags, trend analysis diagrams and any other metadata parameter produced by the pipeline. In a large programme like Euclid, it is prohibitively expensive to process large amount of data at the pixel level just for the purpose of quality evaluation. Thus, all measures of quality at the pixel level are implemented in the individual pipeline stages, and passed along as metadata in the production. In this sense most of the tasks related to science data quality are delegated to the pipeline stages, even though the responsibility for science data quality is managed at a higher level. The DQCT subsystem of the SGS is currently under development, but its path to full realization will likely be different than that of other subsystems. Primarily because, due to a high level of parallelism and to the wide pipeline processing redundancy, for instance the mechanism of double Science Data Center for each processing function, the data quality tools have not only to be widely spread over all pipeline segments and data levels, but also to minimize the occurrences of potential diversity of solutions implemented for similar functions, ensuring the maximum of coherency and standardization for quality evaluation and reporting in the SGS., 4 pages, to appear in the Proceedings of ADASS 2016, Astronomical Society of the Pacific (ASP) Conference Series
Published: 2016

10. A virtual appliance as proxy pipeline for the Solar Orbiter/Metis coronagraph

Author: Mauro Focardi, Gianalfredo Nicolini, Daniele Spadaro, Stein Vidar Hagfors Haugan, Vincenzo Andretta, Cristian Baccani, Thomas Straus, Maurizio Pancrazzi, R. Carr, A. De Groof, Federico Landini, Marco Romoli, Ester Antonucci, ITA, ESP, and NOR
Subjects: Physics, Spacecraft, Virtual appliance, business.industry, Real-time computing, Launched, Polarimetry, Image processing, 01 natural sciences, law.invention, 010309 optics, Orbiter, law, 0103 physical sciences, Metis, business, 010303 astronomy & astrophysics, Coronagraph, Remote sensing
Abstract: Metis is the coronagraph on board Solar Orbiter, the ESA mission devoted to the study of the Sun that will be launched in October 2018. Metis is designed to perform imaging of the solar corona in the UV at 121.6 nm and in the visible range where it will accomplish polarimetry studies thanks to a variable retarder plate. Due to mission constraints, the telemetry downlink on the spacecraft will be limited and data will be downloaded with delays that could reach, in the worst case, several months. In order to have a quick overview on the ongoing operations and to check the safety of the 10 instruments on board, a high-priority downlink channel has been foreseen to download a restricted amount of data. These so-called Low Latency Data will be downloaded daily and, since they could trigger possible actions, they have to be quickly processed on ground as soon as they are delivered. To do so, a proper processing pipeline has to be developed by each instrument. This tool will then be integrated in a single system at the ESA Science Operation Center that will receive the downloaded data by the Mission Operation Center. This paper will provide a brief overview of the on board processing and data produced by Metis and it will describe the proxy-pipeline currently under development to deal with the Metis low-latency data.
Published: 2016

11. Coordinating with SOHO

Author: Stein Vidar Hagfors Haugan
Subjects: Trace (semiology), Atmospheric Science, Geophysics, Space and Planetary Science, Computer science, Ask price, Aerospace Engineering, General Earth and Planetary Sciences, Astronomy and Astrophysics, Data science
Abstract: I describe how to maximise the chances of achieving a successful coordinated observation campaign together with SOHO instruments (and TRACE). The ground rules, common pitfalls, useful resources and some essential “tricks of the trade” are covered. The most important hints are: start early, make contact with the instrument teams and the SOCs ( soc@soc.nascom.nasa.gov ), ask whenever in doubt, check the calendar, and be specific.
Published: 2005

12. Variability and dynamic state of active region loops

Author: T. Fredvik, Stein Vidar Hagfors Haugan, Joseph B. Gurman, O. Kjeldseth-Moe, P. Brekke, and Klaus Wilhelm
Subjects: Physics, Atmospheric Science, business.industry, Aerospace Engineering, Astronomy and Astrophysics, Plasma, Astrophysics, State (functional analysis), Atmospheric temperature range, Spectral line, Loop (topology), symbols.namesake, Geophysics, Optics, Space and Planetary Science, symbols, General Earth and Planetary Sciences, business, Doppler effect
Abstract: A set of 218 consecutive CDS rasters taken at the solar limb on October 26–28 1999 has been used to investigate the variability and plasma dynamics of active region loops. Each raster contains simultaneous images in 6 different lines, covering the full temperature range of CDS, 10 000 K (He I) to 2.7 MK (Fe XVI). Activity is seen to go on without breaks at temperatures below 1 MK for the full 39 hours of the series. Transition region loops or extended sections of loops, 50–200 Mm long, appear and disappear in intervals as short as 11 minutes, the observing cadence. In the corona the emission is less variable, but significant changes are seen. Measured Doppler shifts correspond to typical plasma velocities of 20 km s −1 to 100 km s −1 , at temperatures 10 000 K to 450 000 K, and siphon flows may occur in some of the loops. High velocities are frequently seen where the emitted intensities are weak, often on the outer edges of loops as defined in that particular spectral line. At coronal temperatures, 1 MK and higher, systematic loop velocities occur only occasionally. Simultaneous observations with EIT and SUMER were made during part of the raster series and are compared with the CDS result.
Published: 2002

13. Structure and dynamics in the atmosphere above sunspot regions

Author: P. Maltby, N. Brynildsen, P. Brekke, Stein Vidar Hagfors Haugan, Ø. Wikstøl, and O. Kjeldseth-Moe
Subjects: Physics, Atmospheric Science, Sunspot, Spectrometer, Astrophysics::High Energy Astrophysical Phenomena, Extreme ultraviolet lithography, Dynamics (mechanics), Aerospace Engineering, Astronomy, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Atmosphere, Geophysics, Space and Planetary Science, Observatory, Physics::Space Physics, Astrophysics::Solar and Stellar Astrophysics, General Earth and Planetary Sciences, Emission spectrum, Astrophysics::Galaxy Astrophysics, Line (formation)
Abstract: Based on simultaneous observations of 10 EUV emission lines with the Coronal Diagnostic Spectrometer — CDS on the Solar and Heliospheric Observatory — SOHO we study the spatial distributions of both line emission and line-of-sight velocity in the atmosphere above 17 sunspots. We find that both the enhanced EUV line emissions and the velocities are distributed non-uniformly over the sunspot regions. Areas with enhanced line emission tend to be red shifted, but they seldom coincide exactly with areas with enhanced velocity. Bright sunspot plumes with motion directed away from the observer are observed in most of the sunspot regions.
Published: 2000

14. [Untitled]

Author: Stein Vidar Hagfors Haugan
Subjects: Physics, Standard solar model, Toy model, Line fitting, business.industry, Gaussian, Detector, Astronomy and Astrophysics, Intensity (physics), Computational physics, symbols.namesake, Optics, Space and Planetary Science, symbols, Emission spectrum, business, Line (formation)
Abstract: Line shifts for some emission lines on the SOHO/CDS NIS detector appear to be strongly correlated with local intensity gradients along the slit in a way that seems impossible to explain with a physical solar model. Line widths also show a correlation with local intensity gradients. The most plausible instrumental explanation seems to be an elliptical, tilted point-spread function inducing the line shifts. A toy model demonstrating the essentials of the observed behaviour is presented. The effective point-spread function of the instrument appears to modify the line shape into something other than a Gaussian, leaving highly structured residuals after line fitting, including 'ghost' images in some pixel planes. The cause of these effects is yet unknown, but they should warrant experiments on the engineering model to reproduce the observed effects, shedding light on the nature of the aberrations.
Published: 1999

15. [Untitled]

Author: Stein Vidar Hagfors Haugan, O. Kjeldseth-Moe, P. Brekke, N. Brynildsen, and P. Maltby
Subjects: Physics, Sunspot, business.industry, Flux, Astronomy and Astrophysics, Coronal loop, Astrophysics, Redshift, Plume, Optics, Space and Planetary Science, Physics::Space Physics, Astrophysics::Solar and Stellar Astrophysics, Emission spectrum, business, Chromosphere, Line (formation)
Abstract: We present results from a study of the spatial distributions of line emission and relative line-of-sight velocity in the atmosphere above 17 sunspot regions, from the chromosphere, through the transition region and into the corona, based on simultaneous observations of ten EUV emission lines with the Coronal Diagnostic Spectrometer – CDS on SOHO. We find that the spatial distributions are nonuniform over the sunspot region and introduce the notation 'sunspot loop' to describe an enhanced transition region emission feature that looks like a magnetic loop, extending from inside the sunspot to the surrounding regions. We find little evidence for the siphon flow. Attention is given to the time variations since we observe both a rapid variation with a characteristic time of a few to several minutes and a slow variation with a time constant of several hours to ≈ 1 day. The most prominent features in the transition region intensity maps are the sunspot plumes. We introduce an updated criterion for the presence of plumes and find that 15 out of 17 sunspots contain a plume in the temperature range logT≈5.2–5.6. The relative line-of-sight velocity in sunspot plumes is high and directed into the Sun in the transition region. Almost all the sunspot regions contain one or a few prominent, strongly redshifted velocity channels, several of the channels extend from the sunspot plume to considerable distances from the sunspot. The flow appears to be maintained by plasmas at transition region temperatures, moving from regions located at a greater height outside the sunspots and towards the sunspot. The spatial correlation is high to moderate between emission lines formed in the transition region lines, but low between the transition region lines and the coronal lines. From detailed comparisons of intensity and velocity maps we find transition region emission features without any sign of coronal emission in the vicinity. A possible explanation is that the emission originates in magnetic flux tubes that are too cold to emit coronal emission. The comparisons suggest that gas at transition region temperature occur in loops different from loops with coronal temperature. However, we cannot exclude the presence of transition region temperatures close to the footpoints of flux tubes emitting at coronal temperatures. Regions with enhanced transition region line emission tend to be redshifted, but the correlation between line emission and relative line-of-sight velocity is weak. We extend our conditional probability studies and confirm that there is a tendency for line profiles with large intensities and red shifts (blue shifts) above the average to constitute an increasing (decreasing) fraction of the profiles as the wavelength shift increases.
Published: 1999

16. [Untitled]

Author: Stein Vidar Hagfors Haugan, O. Kjeldseth-Moe, Richard A. Harrison, Klaus Wilhelm, William T. Thompson, Pål H. Brekke, N. Brynildsen, P. Maltby, T. Fredvik, T. Rimmele, and C. D. Pike
Subjects: Physics, Sunspot, Spectrometer, Space and Planetary Science, Observatory, Extreme ultraviolet lithography, Astronomy, Astronomy and Astrophysics, Spectroscopy, Corona, Spectral line, Line (formation)
Abstract: EUV spectra of a medium-size sunspot and its surroundings, NOAA 7981, were obtained on 2 August 1996 with the Coronal Diagnostic Spectrometer (CDS) and the Solar Ultraviolet Measurements of Emitted Radiation (SUMER) on the Solar and Heliospheric Observatory (SOHO). The spectral lines formed in the transition region and corona show considerable structure and large deviations from a uniform spatial distribution over the active region. Enhanced EUV emissions in transition region lines are concentrated in small regions outside the umbra of the sunspot throughout most of the observing sequence. Only during a short, active period do we find an enhanced line emission that reaches into the umbra. Preliminary values for the umbral intensity are given.
Published: 1998

17. [Untitled]

Author: Pål H. Brekke, Klaus Wilhelm, William T. Thompson, N. Brynildsen, Richard A. Harrison, O. Kjeldseth-Moe, T. Fredvik, C. D. Pike, Stein Vidar Hagfors Haugan, T. Rimmele, and P. Maltby
Subjects: Physics, Sunspot, Space and Planetary Science, Extreme ultraviolet lithography, Astronomy, Astronomy and Astrophysics, Emission spectrum, Spectroscopy, Chromosphere, Flow field, Spectral line, Line (formation)
Abstract: We have studied the dynamics in the sunspot transition region between the chromosphere and the corona and investigated the extension of the flow field into the corona. Based on EUV spectra of a medium size sunspot and its surroundings, NOAA 7981, observed with CDS and SUMER on SOHO, we derive line-of-sight velocities and study the line profiles for a series of emission lines.
Published: 1998

18. [Untitled]

Author: Stein Vidar Hagfors Haugan, Pål H. Brekke, Klaus Wilhelm, N. Brynildsen, O. Kjeldseth-Moe, P. Maltby, Richard A. Harrison, and T. Fredvik
Subjects: Physics, business.industry, Extreme ultraviolet lithography, Astronomy and Astrophysics, Astrophysics, Connection (mathematics), Red shift, Optics, Space and Planetary Science, QUIET, Astrophysics::Solar and Stellar Astrophysics, Emission spectrum, Spectral resolution, business, Intensity (heat transfer), Line (formation)
Abstract: We present high spatial and spectral resolution observations of one active and one quiet-Sun region, obtained with CDS and SUMER on SOHO. The connections between the line profile parameters are studied and a systematic wavelength shift towards the red with increasing peak line intensity (line broadening) is detected. The large scatter in the data calls for another approach. We apply conditional probability analysis to a series of EUV emission lines and find significant correlations between line profile parameters. For a given interval in wavelength shift we find that: (1) line profiles with large intensities (line widths) and red shifts above the average constitute an increasing fraction of the profiles as the relative wavelength shift increases, (2) line profiles with large intensities (line widths) and blue shifts compared to the average, on the other hand, constitute a decreasing fraction of the profiles as the relative wavelength shift increases. These results extend the findings of an earlier quiet-Sun study from one to several emission lines and expand the validity to include the active region. Interestingly, the active region observations show correlations between peak line intensity and wavelength shift in the coronal lines.
Published: 1998

19. SPICE EUV spectrometer for the Solar Orbiter mission

Author: John J. Hanley, C. McQuirk, J. Johnson, A. Gabriel, Werner Curdt, Roman Klein, Douglas Griffin, A. Richards, William T. Thompson, William F. Grainger, T. Appourchaux, Alexander Gottwald, Joseph M. Davila, Stein Vidar Hagfors Haugan, Y. Allemand, P. Greenway, D. Drummond, Sunil Sidher, P. Phelan, V. Büchel, Andrzej Fludra, S. Beardsley, Mats Carlsson, A. Philippon, J. Cornaby, N. Autissier, Udo Schühle, G. Paciotti, Werner Schmutz, Hardi Peter, T. Grundy, K. Rogers, C. Sawyer, F. Auchere, B. Shaughnessy, A. Butler, C. Howe, G. Munro, Jean-Claude Vial, O. Poyntz-Wright, A. Marshall, Ian Tosh, M. Gyo, S. Meining, Paul Eccleston, M. Haberreiter, L. Blecha, Craig DeForest, Sami K. Solanki, S. Woodward, Daniel Pfiffner, Luca Teriaca, G. Burton, Davina Innes, K. Relecom, H. Cottard, B. Walls, Martin E. Caldwell, Eric Buchlin, N. Waltham, Donald M. Hassler, Patrick R. Jordan, and K. Middleton
Subjects: Physics, Spectrometer, business.industry, Imaging spectrometer, 01 natural sciences, 7. Clean energy, Corona, law.invention, 010309 optics, Telescope, Orbiter, Solar wind, Optics, law, Extreme ultraviolet, Physics::Space Physics, 0103 physical sciences, Extreme ultraviolet Imaging Telescope, Astrophysics::Solar and Stellar Astrophysics, Optoelectronics, Astrophysics::Earth and Planetary Astrophysics, business, 010303 astronomy & astrophysics
Abstract: SPICE is a high resolution imaging spectrometer operating at extreme ultraviolet wavelengths, 70.4 – 79.0 nm and 97.3 - 104.9 nm. It is a facility instrument on the Solar Orbiter mission. SPICE will address the key science goals of Solar Orbiter by providing the quantitative knowledge of the physical state and composition of the plasmas in the solar atmosphere, in particular investigating the source regions of outflows and ejection processes which link the solar surface and corona to the heliosphere. By observing the intensities of selected spectral lines and line profiles, SPICE will derive temperature, density, flow and composition information for the plasmas in the temperature range from 10,000 K to 10MK. The instrument optics consists of a single-mirror telescope (off-axis paraboloid operating at near-normal incidence), feeding an imaging spectrometer. The spectrometer is also using just one optical element, a Toroidal Variable Line Space grating, which images the entrance slit from the telescope focal plane onto a pair of detector arrays, with a magnification of approximately x5. Each detector consists of a photocathode coated microchannel plate image intensifier, coupled to active-pixel-sensor (APS). Particular features of the instrument needed due to proximity to the Sun include: use of dichroic coating on the mirror to transmit and reject the majority of the solar spectrum, particle-deflector to protect the optics from the solar wind, and use of data compression due to telemetry limitations.
Published: 2013

20. Extreme-Ultraviolet Sunspot Plumes Observed with [ITAL]SOHO[/ITAL]

Author: P. Maltby, Stein Vidar Hagfors Haugan, Ø. Wikstøl, Pål H. Brekke, O. Kjeldseth-Moe, T. Rimmele, and N. Brynildsen
Subjects: Physics, Sunspot, Spectrometer, Space and Planetary Science, Observatory, Extreme ultraviolet, Astronomy, Astronomy and Astrophysics, Solar maximum, Line (formation)
Abstract: Bright EUV sunspot plumes have been observed in five out of nine sunspot regions with the Coronal Diagnostic Spectrometer on the Solar and Heliospheric Observatory. In the other four regions, the brightest line emissions may appear inside the sunspot but are mainly concentrated in small regions outside the sunspot areas. These results are in contrast to those obtained during the Solar Maximum Mission but are compatible with the Skylab mission results. The present observations show that sunspot plumes are formed in the upper part of the transition region, occur in both magnetic unipolar and bipolar regions, and may extend from the umbra into the penumbra.
Published: 1998

21. Flows and Dynamics in the Corona Observed with the Coronal Diagnostic Spectrometer (CDS)

Author: William T. Thompson, Richard A. Harrison, P. Brekke, P. Maltby, O. Kjeldseth-Moe, Stein Vidar Hagfors Haugan, C. D. Pike, and N. Brynildsen
Subjects: Physics, Physics::Space Physics, Doubly ionized oxygen, Astrophysics::Solar and Stellar Astrophysics, Coronal hole, Astronomy, Velocity dispersion, Astrophysics, Coronal loop, Coronal radiative losses, Corona, Spectral line, Nanoflares
Abstract: EUV spectra obtained with the Coronal Diagnostic Spectrometer (CDS) on the Solar and Heliospheric observatory (SOHO) show significant flows of plasma in active region loops, both at coronal and transition region temperatures. Wavelength shifts in the coronal lines Mg ix 36S A and Mg × 624 A corresponding to upflows in the plasma reaching velocities of 50 km s-1 have been observed in an active region. Smaller velocities are detected in the coronal lines Fe xvi 360 A and Si XII 520 A. Flows reaching 100 km s-1 are observed in spectral lines formed at transition region temperatures, i.e., O V 629 A and O III 599 A, demonstrating that both the transition region and the corona are clearly dynamic in nature. Some high velocity events show even higher velocities with line profiles corresponding to a velocity dispersion of 300-400 km s-1. Even in the quiet Sun there are velocity fluctuations of 20 km s-1 in transition region lines.
Published: 1997

22. The Microlensing Events in Q2237+0305A: No Case Against Small Masses/Large Sources

Author: Stein Vidar Hagfors Haugan
Subjects: Physics, Astrophysics, Gravitational microlensing, Light curve, Event (probability theory)
Abstract: Witt & Mao (1994) claim that the data reported by Racine (1992) contains “a quite well sampled M-shaped double event in image A of 0.3 and 0.4 mag, respectively”. They further state that the very low average mass scenario put forward by Refsdal & Stabell (1991) does not predict “well-resolved asymmetric events, as have been observed in image A”.
Published: 1996

23. Simulation of Microlensing Lightcurves by Combining Contouring and Rayshooting

Author: Stein Vidar Hagfors Haugan
Subjects: Physics, Contouring, Optics, Point source, business.industry, Track (disk drive), Magnification, Inverse, Source plane, Gravitational microlensing, Light curve, business
Abstract: The contouring methods described by Lewis et al. (1993) and Witt (1993) are very efficient for obtaining the magnification of a point source moving along a straight track in the source plane. For finite sources, however, the amplification must be computed for numerous parallel tracks and then convolved with the source profile. Rayshooting, on the other hand, is an efficient algorithm for relatively large sources, but the computing time increases with the inverse of the source area for a given noise level.
Published: 1996

24. The Microlensing Events In Q2237+0305A: No Case Against Small Masses/Large Sources

Author: Stein Vidar Hagfors Haugan
Abstract: Witt & Mao (1994) claim that the data reported by Racine (1992) contains “a quite well sampled M-shaped double event in image A of 0.3 and 0.4 mag, respectively”. They further state that the very low average mass scenario put forward by Refsdal & Stabell (1991) does not predict “well-resolved asymmetric events, as have been observed in image A”.
Published: 1996

25. Simulation Of Microlensing Lightcurves By Combining Contouring And Rayshooting

Author: Stein Vidar Hagfors Haugan
Abstract: The contouring methods described by Lewis et al. (1993) and Witt (1993) are very efficient for obtaining the magnification of a point source moving along a straight track in the source plane. For finite sources, however, the amplification must be computed for numerous parallel tracks and then convolved with the source profile. Rayshooting, on the other hand, is an efficient algorithm for relatively large sources, but the computing time increases with the inverse of the source area for a given noise level.
Published: 1996

26. Erratum

Author: O. Kjeldseth-Moe, N. Brynildsen, Ø. Wikstøl, Stein Vidar Hagfors Haugan, P. Maltby, Pål H. Brekke, and T. Fredvik
Subjects: Physics, Wavelength, Sunspot, Spectrometer, Flow (mathematics), Space and Planetary Science, Astronomy and Astrophysics, Astrophysics, Flow field
Abstract: Bright EUV sunspot plumes have been observed in eight out of eleven different sunspot regions with the Coronal Diagnostic Spectrometer -- CDS on SOHO. From wavelength shifts we derive the line-of-sight velocity, relative to the average velocity in the rastered area, 120 arcsec x 120 arcsec. In sunspot plumes we find that the motion is directed away from the observer and increases with increasing line formation temperature, reaches a maximum between 15 and 41 km~s$^{-1}$ close to log T $\approx$ 5.5, then decreases abruptly. The flow field in the corona is not well correlated with the flow in the transition region and we discuss briefly the implication of this finding.
Published: 1998

27. Euclid: Effect of sample covariance on the number counts of galaxy clusters

Author: Ole Marggraf, Yu Wang, Marco Castellano, Emanuel Rossetti, S. Serrano, Natalia Auricchio, C. Padilla, Andrea Cimatti, Michele Moresco, Julien Zoubian, Felix Hormuth, A. Ealet, T. Vassallo, M. Poncet, Christopher J. Conselice, Sandrine Pires, D. Bonino, L. Popa, R. Cledassou, A. Fumagalli, S. Paltani, Roberto Scaramella, Emiliano Sefusatti, W. A. Holmes, Luigi Guzzo, F. Raison, K. Markovic, G. Zamorani, Jarle Brinchmann, Peter Schneider, Lauro Moscardini, Alexandro Saro, Lucia Pozzetti, Chiara Sirignano, G. Meylan, B. Garilli, M. Kilbinger, Simona Mei, Roberto P. Saglia, F. Grupp, Mauro Roncarelli, Rafael Toledo-Moreo, Andy Taylor, Elisabetta Maiorano, Pierluigi Monaco, I. Lloro, Pablo Fosalba, Martin Kunz, Massimo Meneghetti, L. Conversi, P. B. Lilje, Fabio Pasian, Adam Amara, F. Dubath, Valeria Pettorino, Richard Massey, Knud Jahnke, Carmelita Carbone, Leonardo Corcione, E. Franceschi, V. Capobianco, Stein Vidar Hagfors Haugan, Alina Kiessling, René J. Laureijs, Edwin A. Valentijn, M. Kümmel, G. Sirri, S. Dusini, C. Bodendorf, P. Franzetti, A. Balestra, S. M. Niemi, H. Degaudenzi, Tiago Castro, Stefano Cavuoti, Enzo Branchini, A. Secroun, Mark Cropper, Stefano Borgani, G. Seidel, Ismael Tereno, M. Fumana, Jason Rhodes, Hannu Kurki-Suonio, Thomas D. Kitching, Luca Valenziano, Anne Costille, G. Congedo, Jochen Weller, Marian Douspis, E. Munari, Henk Hoekstra, K. Pedersen, Massimo Brescia, M. Costanzi, Carlo Giocoli, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), 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), 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 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), 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, Academy of Finland, Agenzia Spaziale Italiana, German Centre for Air and Space Travel, Danish Space Research Institute, Fundação para a Ciência e a Tecnologia (Portugal), Ministerio de Economía y Competitividad (España), National Aeronautics and Space Administration (US), Norwegian Space Agency, Romanian Space Agency, Swiss Space Office, UK Space Agency, Fumagalli, A., Saro, A., Borgani, S., Castro, T., Costanzi, M., Monaco, P., Munari, E., Sefusatti, E., Amara, A., Auricchio, N., Balestra, A., Bodendorf, C., Bonino, D., Branchini, E., Brinchmann, J., Capobianco, V., Carbone, C., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Conselice, C. J., Corcione, L., Costille, A., Cropper, M., Degaudenzi, H., Douspis, M., Dubath, F., Dusini, S., Ealet, A., Fosalba, P., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Giocoli, C., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Jahnke, K., Kiessling, A., Kilbinger, M., Kitching, T., Kummel, M., Kunz, M., Kurki-Suonio, H., Laureijs, R., Lilje, P. B., Lloro, I., Maiorano, E., Marggraf, O., Markovic, K., Massey, R., Meneghetti, M., Meylan, G., Moscardini, L., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Valentijn, E. A., Valenziano, L., Wang, Y., Weller, J., Zamorani, G., Zoubian, J., Brescia, M., Congedo, G., Conversi, L., Mei, S., Moresco, M., Vassallo, T., Astronomy, Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), 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), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Department of Physics, Helsinki Institute of Physics, Fumagalli A., Saro A., Borgani S., Castro T., Costanzi M., Monaco P., Munari E., Sefusatti E., Amara A., Auricchio N., Balestra A., Bodendorf C., Bonino D., Branchini E., Brinchmann J., Capobianco V., Carbone C., Castellano M., Cavuoti S., Cimatti A., Cledassou R., Conselice C.J., Corcione L., Costille A., Cropper M., Degaudenzi H., Douspis M., Dubath F., Dusini S., Ealet A., Fosalba P., Franceschi E., Franzetti P., Fumana M., Garilli B., Giocoli C., Grupp F., Guzzo L., Haugan S.V.H., Hoekstra H., Holmes W., Hormuth F., Jahnke K., Kiessling A., Kilbinger M., Kitching T., Kummel M., Kunz M., Kurki-Suonio H., Laureijs R., Lilje P.B., Lloro I., Maiorano E., Marggraf O., Markovic K., Massey R., Meneghetti M., Meylan G., Moscardini L., Niemi S.M., Padilla C., Paltani S., Pasian F., Pedersen K., Pettorino V., Pires S., Poncet M., Popa L., Pozzetti L., Raison F., Rhodes J., Roncarelli M., Rossetti E., Saglia R., Scaramella R., Schneider P., Secroun A., Seidel G., Serrano S., Sirignano C., Sirri G., Taylor A.N., Tereno I., Toledo-Moreo R., Valentijn E.A., Valenziano L., Wang Y., Weller J., Zamorani G., Zoubian J., Brescia M., Congedo G., Conversi L., Mei S., Moresco M., Vassallo T., ITA, USA, GBR, FRA, DEU, ESP, DNK, NLD, PRT, ROU, and CHE
Subjects: Cosmological parameter, statistical [Methods], bias, Large-scale structure of Universe, Gaussian, Astrophysics, clusters: general [Galaxies], 01 natural sciences, generation, galaxies, Statistical physics, clusters, dark energy, 010303 astronomy & astrophysics, Physics, Covariance matrix, Cosmological paremeters, Covariance, galaxies: clusters: general, symbols, impact, astro-ph.CO, large-scale structure of Universe, Likelihood function, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Context (language use), Astrophysics::Cosmology and Extragalactic Astrophysics, 114 Physical sciences, methods, symbols.namesake, 0103 physical sciences, Sample variance, halo mass function, cosmological parameters, Galaxy cluster, parameters, methods: statistical, model, 010308 nuclear & particles physics, Cosmological parameters, Galaxies: clusters: general, Methods: statistical, precision cosmology, Astronomy and Astrophysics, calibration, 115 Astronomy, Space science, Determining the number of clusters in a data set, general, Space and Planetary Science, cosmological constraints, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], statistical
Abstract: Fumagalli, A. et al. Euclid Consortium, [Aims] We investigate the contribution of shot-noise and sample variance to uncertainties in the cosmological parameter constraints inferred from cluster number counts, in the context of the Euclid survey., [Methods] By analysing 1000 Euclid-like light cones, produced with the PINOCCHIO approximate method, we validated the analytical model of Hu & Kravtsov (2003, ApJ, 584, 702) for the covariance matrix, which takes into account both sources of statistical error. Then, we used such a covariance to define the likelihood function that is better equipped to extract cosmological information from cluster number counts at the level of precision that will be reached by the future Euclid photometric catalogs of galaxy clusters. We also studied the impact of the cosmology dependence of the covariance matrix on the parameter constraints., [Results] The analytical covariance matrix reproduces the variance measured from simulations within the 10 percent; such a difference has no sizeable effect on the error of cosmological parameter constraints at this level of statistics. Also, we find that the Gaussian likelihood with full covariance is the only model that provides an unbiased inference of cosmological parameters without underestimating the errors, and that the cosmology-dependence of the covariance must be taken into account., SB, AS and AF acknowledge financial support from the ERC-StG ‘ClustersxCosmo’ grant agreement 716762, the PRIN-MIUR 2015W7KAWC grant, the ASI-Euclid contract and the INDARK grant. TC is supported by the INFN INDARK PD51 grant and by the PRIN-MIUR 2015W7KAWC grant. Our analyses have been carried out at: CINECA, with the projects INA17_C5B32 and IsC82_CosmGC; the computing center of INAF-Osservatorio Astronomico di Trieste, under the coordination of the CHIPP project (Bertocco et al. 2019; Taffoni et al. 2020). 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. A complete and detailed list is available on the Euclid website (http://www.euclid-ec.org).

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources

Refine your results

27 results on '"Stein Vidar Hagfors Haugan"'

1. Euclid: Validation of the MontePython forecasting tools

2. Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

3. Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

4. Euclid: Forecasts for k-cut 3×2 Point Statistics

5. Euclid preparation

6. The Solar Orbiter SPICE instrument: An extreme UV imaging spectrometer

7. Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes

8. SSTRED: Data- and metadata-processing pipeline for CHROMIS and CRISP

9. The design strategy of scientific data quality control software for Euclid mission

10. A virtual appliance as proxy pipeline for the Solar Orbiter/Metis coronagraph

11. Coordinating with SOHO

12. Variability and dynamic state of active region loops

13. Structure and dynamics in the atmosphere above sunspot regions

14. [Untitled]

15. [Untitled]

16. [Untitled]

17. [Untitled]

18. [Untitled]

19. SPICE EUV spectrometer for the Solar Orbiter mission

20. Extreme-Ultraviolet Sunspot Plumes Observed with [ITAL]SOHO[/ITAL]

21. Flows and Dynamics in the Corona Observed with the Coronal Diagnostic Spectrometer (CDS)

22. The Microlensing Events in Q2237+0305A: No Case Against Small Masses/Large Sources

23. Simulation of Microlensing Lightcurves by Combining Contouring and Rayshooting

24. The Microlensing Events In Q2237+0305A: No Case Against Small Masses/Large Sources

25. Simulation Of Microlensing Lightcurves By Combining Contouring And Rayshooting

26. Erratum

27. Euclid: Effect of sample covariance on the number counts of galaxy clusters

Catalog

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Journal

Database

Publisher

27 results on '"Stein Vidar Hagfors Haugan"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources