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4 results on '"Genova-Santos, RT"'

1. In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

Author

collaboration, The LiteBIRD, Krachmalnicoff, N, Matsumura, T, de la Hoz, E, Basak, S, Gruppuso, A, Minami, Y, Baccigalupi, C, Komatsu, E, Martínez-González, E, Vielva, P, Aumont, J, Aurlien, R, Azzoni, S, Banday, AJ, Barreiro, RB, Bartolo, N, Bersanelli, M, Calabrese, E, Carones, A, Casas, FJ, Cheung, K, Chinone, Y, Columbro, F, de Bernardis, P, Diego-Palazuelos, P, Errard, J, Finelli, F, Fuskeland, U, Galloway, M, Genova-Santos, RT, Gerbino, M, Ghigna, T, Giardiello, S, Gjerløw, E, Hazumi, M, Henrot-Versillé, S, Kisner, T, Lamagna, L, Lattanzi, M, Levrier, F, Luzzi, G, Maino, D, Masi, S, Migliaccio, M, Montier, L, Morgante, G, Mot, B, Nagata, R, Nati, F, Natoli, P, Pagano, L, Paiella, A, Paoletti, D, Patanchon, G, Piacentini, F, Polenta, G, Poletti, D, Puglisi, G, Remazeilles, M, Rubino-Martin, J, Sasaki, M, Shiraishi, M, Signorelli, G, Stever, S, Tartari, A, Tristram, M, Tsuji, M, Vacher, L, Wehus, IK, and Zannoni, M

Subjects
Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics
Abstract

We present a demonstration of the in-flight polarization angle calibration for the JAXA/ISAS second strategic large class mission, LiteBIRD, and estimate its impact on the measurement of the tensor-to-scalar ratio parameter, r, using simulated data. We generate a set of simulated sky maps with CMB and polarized foreground emission, and inject instrumental noise and polarization angle offsets to the 22 (partially overlapping) LiteBIRD frequency channels. Our in-flight angle calibration relies on nulling the EB cross correlation of the polarized signal in each channel. This calibration step has been carried out by two independent groups with a blind analysis, allowing an accuracy of the order of a few arc-minutes to be reached on the estimate of the angle offsets. Both the corrected and uncorrected multi-frequency maps are propagated through the foreground cleaning step, with the goal of computing clean CMB maps. We employ two component separation algorithms, the Bayesian-Separation of Components and Residuals Estimate Tool (B-SeCRET), and the Needlet Internal Linear Combination (NILC). We find that the recovered CMB maps obtained with algorithms that do not make any assumptions about the foreground properties, such as NILC, are only mildly affected by the angle miscalibration. However, polarization angle offsets strongly bias results obtained with the parametric fitting method. Once the miscalibration angles are corrected by EB nulling prior to the component separation, both component separation algorithms result in an unbiased estimation of the r parameter. While this work is motivated by the conceptual design study for LiteBIRD, its framework can be broadly applied to any CMB polarization experiment. In particular, the combination of simulation plus blind analysis provides a robust forecast by taking into account not only detector sensitivity but also systematic effects.

Published
2022

2. Planck intermediate results LIV. The Planck multi-frequency catalogue of non-thermal sources

Author

Akrami, Y, Argueso, F, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, J-P, Bersanelli, M, Bielewicz, P, Bonavera, L, Bond, JR, Borrill, J, Bouchet, FR, Burigana, C, Butler, RC, Calabrese, E, Carron, J, Chiang, HC, Combet, C, Crill, BP, Cuttaia, F, de Bernardis, P, de Rosa, A, de Zotti, G, Delabrouille, J, Delouis, J-M, Di Valentino, E, Dickinson, C, Diego, JM, Ducout, A, Dupac, X, Efstathiou, G, Elsner, F, Ensslin, TA, Eriksen, HK, Fantaye, Y, Finelli, F, Frailis, M, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Galli, S, Ganga, K, Genova-Santos, RT, Gerbino, M, Ghosh, T, Gonzalez-Nuevo, J, Gorski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Herranz, D, Hivon, E, Huang, Z, Jaffe, AH, Jones, WC, Keihanen, E, Keskitalo, R, Kiiveri, K, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lahteenmaki, A, Lamarre, J-M, Lasenby, A, Lattanzi, M, Lawrence, CR, Levrier, F, Liguori, M, Lilje, PB, Lindholm, V, Lopez-Caniego, M, Ma, Y-Z, Macias-Perez, JF, Maggio, G, Maino, D, Mandolesi, N, Mangilli, A, Maris, M, Martin, PG, Martinez-Gonzalez, E, Matarrese, S, McEwen, JD, Meinhold, PR, Melchiorri, A, Mennella, A, Migliaccio, M, Miville-Deschenes, M-A, Molinari, D, and Moneti, A

Subjects
catalogs, cosmology: observations, radio continuum: general, submillimeter: general, Astronomical And Space Sciences, Astronomy & Astrophysics, Astronomical and Space Sciences
Abstract

Context. The European Space Agency (ESA) Rosetta mission was the most comprehensive study of a comet ever performed. In particular, the Rosetta orbiter, which carried many instruments for monitoring the evolution of the dusty gas emitted by the cometary nucleus, returned an enormous volume of observational data collected from the close vicinity of the nucleus of comet 67P/Churyumov-Gerasimenko.Aims. Such data are expected to yield unique information on the physical processes of gas and dust emission, using current physical model fits to the data. We present such a model (the RZC model) and our procedure of adjustment of this model to the data.Methods. The RZC model consists of two components: (1) a numerical three-dimensional time-dependent code solving the Eulerian/Navier-Stokes equations governing the gas outflow, and a direct simulation Monte Carlo (DSMC) gaskinetic code with the same objective; and (2) an iterative procedure to adjust the assumed model parameters to best-fit the observational data at all times.Results. We demonstrate that our model is able to reproduce the overall features of the local neutral number density and composition measurements of Rosetta Orbiter Spectrometer for Ion and Neutral Analysis (ROSINA) Comet Pressure Sensor (COPS) and Double Focusing Mass Spectrometer (DFMS) instruments in the period August 1–November 30, 2014. The results of numerical simulations show that illumination conditions on the nucleus are the main driver for the gas activity of the comet. We present the distribution of surface inhomogeneity best-fitted to the ROSINA COPS and DFMS in situ measurements.

Published
2018

3. Planck intermediate results V. Pressure profiles of galaxy clusters from the Sunyaev-Zeldovich effect (vol 550, A131, 2013)

Author

Ade, PAR, Aghanim, N, Arnaud, M, Ashdown, M, Atrio-Barandela, F, Aumont, J, Baccigalupi, C, Balbi, A, Banday, AJ, Barreiro, RB, Bartlett, JG, Battaner, E, Benabed, K, Benoit, A, Bernard, J-P, Bersanelli, M, Bhatia, R, Bikmaev, I, Bobin, J, Boehringer, H, Bonaldi, A, Bond, JR, Borgani, S, Borrill, J, Bouchet, FR, Bourdin, H, Brown, ML, Burenin, R, Burigana, C, Cabella, P, Cardoso, J-F, Carvalho, P, Castex, G, Catalano, A, Cayon, L, Chamballu, A, Chiang, L-Y, Chon, G, Christensen, PR, Churazov, E, Clements, DL, Colafrancesco, S, Colombi, S, Colombo, LPL, Comis, B, Coulais, A, Crill, BP, Cuttaia, F, Da Silva, A, Dahle, H, Danese, L, Davis, RJ, de Bernardis, P, de Gasperis, G, de Zotti, G, Delabrouille, J, Democles, J, Desert, F-X, Diego, JM, Dolag, K, Dole, H, Donzelli, S, Dore, O, Doerl, U, Douspis, M, Dupac, X, Efstathiou, G, Ensslin, TA, Eriksen, HK, Finelli, F, Flores-Cacho, I, Forni, O, Fosalba, P, Frailis, M, Franceschi, E, Frommert, M, Galeotta, S, Ganga, K, Genova-Santos, RT, Giard, M, Giraud-Heraud, Y, Gonzalez-Nuevo, J, Gorski, KM, Gregorio, A, Gruppuso, A, Hansen, FK, Harrison, D, Hempel, A, Henrot-Versille, S, Hernandez-Monteagudo, C, Herranz, D, Hildebrandt, SR, Hivon, E, Hobson, M, Holmes, WA, Hurier, G, Jaffe, TR, Jaffe, AH, Jagemann, T, and Jones, WC

Subjects
cosmology: observations, galaxies: clusters: general, galaxies: clusters: intracluster medium, submillimeter: general, X-rays: general, errata, addenda, errata, addenda, Astronomy & Astrophysics, Astronomical and Space Sciences
Published
2013

4. In-flight polarization angle calibration for LiteBIRD: Blind challenge and cosmological implications

Author

Krachmalnicoff, N, Krachmalnicoff, N, Matsumura, T, De La Hoz, E, Basak, S, Gruppuso, A, Minami, Y, Baccigalupi, C, Komatsu, E, Martínez-González, E, Vielva, P, Aumont, J, Aurlien, R, Azzoni, S, Banday, AJ, Barreiro, RB, Bartolo, N, Bersanelli, M, Calabrese, E, Carones, A, Casas, FJ, Cheung, K, Chinone, Y, Columbro, F, De Bernardis, P, Diego-Palazuelos, P, Errard, J, Finelli, F, Fuskeland, U, Galloway, M, Genova-Santos, RT, Gerbino, M, Ghigna, T, Giardiello, S, Gjerlow, E, Hazumi, M, Henrot-Versillé, S, Kisner, T, Lamagna, L, Lattanzi, M, Levrier, F, Luzzi, G, Maino, D, Masi, S, Migliaccio, M, Montier, L, Morgante, G, Mot, B, Nagata, R, Nati, F, Natoli, P, Pagano, L, Paiella, A, Paoletti, D, Patanchon, G, Piacentini, F, Polenta, G, Poletti, D, Puglisi, G, Remazeilles, M, Rubino-Martin, J, Sasaki, M, Shiraishi, M, Signorelli, G, Stever, S, Tartari, A, Tristram, M, Tsuji, M, Vacher, L, Wehus, IK, Zannoni, M, Krachmalnicoff, N, Krachmalnicoff, N, Matsumura, T, De La Hoz, E, Basak, S, Gruppuso, A, Minami, Y, Baccigalupi, C, Komatsu, E, Martínez-González, E, Vielva, P, Aumont, J, Aurlien, R, Azzoni, S, Banday, AJ, Barreiro, RB, Bartolo, N, Bersanelli, M, Calabrese, E, Carones, A, Casas, FJ, Cheung, K, Chinone, Y, Columbro, F, De Bernardis, P, Diego-Palazuelos, P, Errard, J, Finelli, F, Fuskeland, U, Galloway, M, Genova-Santos, RT, Gerbino, M, Ghigna, T, Giardiello, S, Gjerlow, E, Hazumi, M, Henrot-Versillé, S, Kisner, T, Lamagna, L, Lattanzi, M, Levrier, F, Luzzi, G, Maino, D, Masi, S, Migliaccio, M, Montier, L, Morgante, G, Mot, B, Nagata, R, Nati, F, Natoli, P, Pagano, L, Paiella, A, Paoletti, D, Patanchon, G, Piacentini, F, Polenta, G, Poletti, D, Puglisi, G, Remazeilles, M, Rubino-Martin, J, Sasaki, M, Shiraishi, M, Signorelli, G, Stever, S, Tartari, A, Tristram, M, Tsuji, M, Vacher, L, Wehus, IK, and Zannoni, M

Abstract

We present a demonstration of the in-flight polarization angle calibration for the JAXA/ISAS second strategic large class mission, LiteBIRD, and estimate its impact on the measurement of the tensor-to-scalar ratio parameter, r, using simulated data. We generate a set of simulated sky maps with CMB and polarized foreground emission, and inject instrumental noise and polarization angle offsets to the 22 (partially overlapping) LiteBIRD frequency channels. Our in-flight angle calibration relies on nulling the EB cross correlation of the polarized signal in each channel. This calibration step has been carried out by two independent groups with a blind analysis, allowing an accuracy of the order of a few arc-minutes to be reached on the estimate of the angle offsets. Both the corrected and uncorrected multi-frequency maps are propagated through the foreground cleaning step, with the goal of computing clean CMB maps. We employ two component separation algorithms, the Bayesian-Separation of Components and Residuals Estimate Tool (B-SeCRET), and the Needlet Internal Linear Combination (NILC). We find that the recovered CMB maps obtained with algorithms that do not make any assumptions about the foreground properties, such as NILC, are only mildly affected by the angle miscalibration. However, polarization angle offsets strongly bias results obtained with the parametric fitting method. Once the miscalibration angles are corrected by EB nulling prior to the component separation, both component separation algorithms result in an unbiased estimation of the r parameter. While this work is motivated by the conceptual design study for LiteBIRD, its framework can be broadly applied to any CMB polarization experiment. In particular, the combination of simulation plus blind analysis provides a robust forecast by taking into account not only detector sensitivity but also systematic effects.

Published
2022

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