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Auteurs principaux: Tomasi, M., Pagano, L., Anand, A., Baccigalupi, C., Banday, A. J., Bortolami, M., Galloni, G., Galloway, M., Ghigna, T., Giardiello, S., Gomes, M., Hivon, E., Krachmalnicoff, N., Micheli, S., Monelli, M., Nagano, Y., Novelli, A., Patanchon, G., Poletti, D., Puglisi, G., Raffuzzi, N., Reinecke, M., Takase, Y., Weymann-Despres, G., Adak, D., Allys, E., Aumont, J., Aurvik, R., Ballardini, M., Barreiro, R. B., Bartolo, N., Basak, S., Bersanelli, M., Besnard, A., Brinckmann, T., Calabrese, E., Campeti, P., Carinos, E., Carones, A., Casas, F. J., Cheung, K., Citran, M., Clermont, L., Columbro, F., Coppi, G., Coppolecchia, A., Cuttaia, F., Bo, P. Dal, de Bernardis, P., de la Hoz, E., De Lucia, M., Della Torre, S., Diego-Palazuelos, P., Eriksen, H. K., Essinger-Hileman, T., Franceschet, C., Fuskeland, U., Gerbino, M., Gervasi, M., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Jost, B., Kohri, K., Lamagna, L., Lari, T., Lattanzi, M., Leloup, C., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Montier, L., Morgante, G., Mousset, L., Nagata, R., Noviello, F., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Piacentini, F., Pinchera, M., Polenta, G., Porcelli, L., Remazeilles, M., Ritacco, A., Rizzieri, A., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Sauvage, V., Shiraishi, M., Signorelli, G., Stever, S. L., Sullivan, R. M., Tassis, K., Terenzi, L., Vacher, L., van Tent, B., Vielva, P., Wehus, I. K., Zannoni, M., Zhou, Y.
Format: Preprint
Publié: 2025
Sujets:
Instrumentation and Methods for Astrophysics
Accès en ligne:https://arxiv.org/abs/2507.04918
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author Tomasi, M.
Pagano, L.
Anand, A.
Baccigalupi, C.
Banday, A. J.
Bortolami, M.
Galloni, G.
Galloway, M.
Ghigna, T.
Giardiello, S.
Gomes, M.
Hivon, E.
Krachmalnicoff, N.
Micheli, S.
Monelli, M.
Nagano, Y.
Novelli, A.
Patanchon, G.
Poletti, D.
Puglisi, G.
Raffuzzi, N.
Reinecke, M.
Takase, Y.
Weymann-Despres, G.
Adak, D.
Allys, E.
Aumont, J.
Aurvik, R.
Ballardini, M.
Barreiro, R. B.
Bartolo, N.
Basak, S.
Bersanelli, M.
Besnard, A.
Brinckmann, T.
Calabrese, E.
Campeti, P.
Carinos, E.
Carones, A.
Casas, F. J.
Cheung, K.
Citran, M.
Clermont, L.
Columbro, F.
Coppi, G.
Coppolecchia, A.
Cuttaia, F.
Bo, P. Dal
de Bernardis, P.
de la Hoz, E.
De Lucia, M.
Della Torre, S.
Diego-Palazuelos, P.
Eriksen, H. K.
Essinger-Hileman, T.
Franceschet, C.
Fuskeland, U.
Gerbino, M.
Gervasi, M.
Gimeno-Amo, C.
Gjerløw, E.
Gruppuso, A.
Hazumi, M.
Henrot-Versillé, S.
Hergt, L. T.
Jost, B.
Kohri, K.
Lamagna, L.
Lari, T.
Lattanzi, M.
Leloup, C.
Levrier, F.
Lonappan, A. I.
López-Caniego, M.
Luzzi, G.
Macias-Perez, J.
Maffei, B.
Martínez-González, E.
Masi, S.
Matarrese, S.
Matsumura, T.
Montier, L.
Morgante, G.
Mousset, L.
Nagata, R.
Noviello, F.
Obata, I.
Occhiuzzi, A.
Paiella, A.
Paoletti, D.
Pascual-Cisneros, G.
Piacentini, F.
Pinchera, M.
Polenta, G.
Porcelli, L.
Remazeilles, M.
Ritacco, A.
Rizzieri, A.
Rubiño-Martín, J. A.
Ruiz-Granda, M.
Sanghavi, J.
Sauvage, V.
Shiraishi, M.
Signorelli, G.
Stever, S. L.
Sullivan, R. M.
Tassis, K.
Terenzi, L.
Vacher, L.
van Tent, B.
Vielva, P.
Wehus, I. K.
Zannoni, M.
Zhou, Y.
author_facet Tomasi, M.
Pagano, L.
Anand, A.
Baccigalupi, C.
Banday, A. J.
Bortolami, M.
Galloni, G.
Galloway, M.
Ghigna, T.
Giardiello, S.
Gomes, M.
Hivon, E.
Krachmalnicoff, N.
Micheli, S.
Monelli, M.
Nagano, Y.
Novelli, A.
Patanchon, G.
Poletti, D.
Puglisi, G.
Raffuzzi, N.
Reinecke, M.
Takase, Y.
Weymann-Despres, G.
Adak, D.
Allys, E.
Aumont, J.
Aurvik, R.
Ballardini, M.
Barreiro, R. B.
Bartolo, N.
Basak, S.
Bersanelli, M.
Besnard, A.
Brinckmann, T.
Calabrese, E.
Campeti, P.
Carinos, E.
Carones, A.
Casas, F. J.
Cheung, K.
Citran, M.
Clermont, L.
Columbro, F.
Coppi, G.
Coppolecchia, A.
Cuttaia, F.
Bo, P. Dal
de Bernardis, P.
de la Hoz, E.
De Lucia, M.
Della Torre, S.
Diego-Palazuelos, P.
Eriksen, H. K.
Essinger-Hileman, T.
Franceschet, C.
Fuskeland, U.
Gerbino, M.
Gervasi, M.
Gimeno-Amo, C.
Gjerløw, E.
Gruppuso, A.
Hazumi, M.
Henrot-Versillé, S.
Hergt, L. T.
Jost, B.
Kohri, K.
Lamagna, L.
Lari, T.
Lattanzi, M.
Leloup, C.
Levrier, F.
Lonappan, A. I.
López-Caniego, M.
Luzzi, G.
Macias-Perez, J.
Maffei, B.
Martínez-González, E.
Masi, S.
Matarrese, S.
Matsumura, T.
Montier, L.
Morgante, G.
Mousset, L.
Nagata, R.
Noviello, F.
Obata, I.
Occhiuzzi, A.
Paiella, A.
Paoletti, D.
Pascual-Cisneros, G.
Piacentini, F.
Pinchera, M.
Polenta, G.
Porcelli, L.
Remazeilles, M.
Ritacco, A.
Rizzieri, A.
Rubiño-Martín, J. A.
Ruiz-Granda, M.
Sanghavi, J.
Sauvage, V.
Shiraishi, M.
Signorelli, G.
Stever, S. L.
Sullivan, R. M.
Tassis, K.
Terenzi, L.
Vacher, L.
van Tent, B.
Vielva, P.
Wehus, I. K.
Zannoni, M.
Zhou, Y.
contents LiteBIRD, the Lite (Light) satellite for the study of $B$-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission focused on primordial cosmology and fundamental physics. In this paper, we present the LiteBIRD Simulation Framework (LBS), a Python package designed for the implementation of pipelines that model the outputs of the data acquisition process from the three instruments on the LiteBIRD spacecraft: LFT (Low-Frequency Telescope), MFT (Mid-Frequency Telescope), and HFT (High-Frequency Telescope). LBS provides several modules to simulate the scanning strategy of the telescopes, the measurement of realistic polarized radiation coming from the sky (including the Cosmic Microwave Background itself, the Solar and Kinematic dipole, and the diffuse foregrounds emitted by the Galaxy), the generation of instrumental noise and the effect of systematic errors, like pointing wobbling, non-idealities in the Half-Wave Plate, et cetera. Additionally, we present the implementation of a simple but complete pipeline that showcases the main features of LBS. We also discuss how we ensured that LBS lets people develop pipelines whose results are accurate and reproducible. A full end-to-end pipeline has been developed using LBS to characterize the scientific performance of the LiteBIRD experiment. This pipeline and the results of the first simulation run are presented in Puglisi et al. (2025).
format Preprint
id arxiv_https___arxiv_org_abs_2507_04918
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Simulation Framework for the LiteBIRD Instruments
Tomasi, M.
Pagano, L.
Anand, A.
Baccigalupi, C.
Banday, A. J.
Bortolami, M.
Galloni, G.
Galloway, M.
Ghigna, T.
Giardiello, S.
Gomes, M.
Hivon, E.
Krachmalnicoff, N.
Micheli, S.
Monelli, M.
Nagano, Y.
Novelli, A.
Patanchon, G.
Poletti, D.
Puglisi, G.
Raffuzzi, N.
Reinecke, M.
Takase, Y.
Weymann-Despres, G.
Adak, D.
Allys, E.
Aumont, J.
Aurvik, R.
Ballardini, M.
Barreiro, R. B.
Bartolo, N.
Basak, S.
Bersanelli, M.
Besnard, A.
Brinckmann, T.
Calabrese, E.
Campeti, P.
Carinos, E.
Carones, A.
Casas, F. J.
Cheung, K.
Citran, M.
Clermont, L.
Columbro, F.
Coppi, G.
Coppolecchia, A.
Cuttaia, F.
Bo, P. Dal
de Bernardis, P.
de la Hoz, E.
De Lucia, M.
Della Torre, S.
Diego-Palazuelos, P.
Eriksen, H. K.
Essinger-Hileman, T.
Franceschet, C.
Fuskeland, U.
Gerbino, M.
Gervasi, M.
Gimeno-Amo, C.
Gjerløw, E.
Gruppuso, A.
Hazumi, M.
Henrot-Versillé, S.
Hergt, L. T.
Jost, B.
Kohri, K.
Lamagna, L.
Lari, T.
Lattanzi, M.
Leloup, C.
Levrier, F.
Lonappan, A. I.
López-Caniego, M.
Luzzi, G.
Macias-Perez, J.
Maffei, B.
Martínez-González, E.
Masi, S.
Matarrese, S.
Matsumura, T.
Montier, L.
Morgante, G.
Mousset, L.
Nagata, R.
Noviello, F.
Obata, I.
Occhiuzzi, A.
Paiella, A.
Paoletti, D.
Pascual-Cisneros, G.
Piacentini, F.
Pinchera, M.
Polenta, G.
Porcelli, L.
Remazeilles, M.
Ritacco, A.
Rizzieri, A.
Rubiño-Martín, J. A.
Ruiz-Granda, M.
Sanghavi, J.
Sauvage, V.
Shiraishi, M.
Signorelli, G.
Stever, S. L.
Sullivan, R. M.
Tassis, K.
Terenzi, L.
Vacher, L.
van Tent, B.
Vielva, P.
Wehus, I. K.
Zannoni, M.
Zhou, Y.
Instrumentation and Methods for Astrophysics
LiteBIRD, the Lite (Light) satellite for the study of $B$-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission focused on primordial cosmology and fundamental physics. In this paper, we present the LiteBIRD Simulation Framework (LBS), a Python package designed for the implementation of pipelines that model the outputs of the data acquisition process from the three instruments on the LiteBIRD spacecraft: LFT (Low-Frequency Telescope), MFT (Mid-Frequency Telescope), and HFT (High-Frequency Telescope). LBS provides several modules to simulate the scanning strategy of the telescopes, the measurement of realistic polarized radiation coming from the sky (including the Cosmic Microwave Background itself, the Solar and Kinematic dipole, and the diffuse foregrounds emitted by the Galaxy), the generation of instrumental noise and the effect of systematic errors, like pointing wobbling, non-idealities in the Half-Wave Plate, et cetera. Additionally, we present the implementation of a simple but complete pipeline that showcases the main features of LBS. We also discuss how we ensured that LBS lets people develop pipelines whose results are accurate and reproducible. A full end-to-end pipeline has been developed using LBS to characterize the scientific performance of the LiteBIRD experiment. This pipeline and the results of the first simulation run are presented in Puglisi et al. (2025).
title A Simulation Framework for the LiteBIRD Instruments
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2507.04918

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