Explanipedia

LiteBIRD science goals and forecasts: improved full-sky reconstruction of the gravitational lensing potential through the combination of Planck and LiteBIRD data Open

M. Ruiz-Granda, P. Diego-Palazuelos, C. Gimeno-Amo, P. Vielva, A.I. Lonappan , et al. · 2025

Cosmic microwave background (CMB) photons are deflected by large-scale structure through gravitational lensing. This secondary effect introduces higher-order correlations in CMB anisotropies, which are used to reconstruct lensing deflectio…

First release of <i>LiteBIRD</i> simulations from an end-to-end pipeline Open

M. Bortolami, N. Raffuzzi, Giuseppe Puglisi, P. Campeti, G. Weymann-Despres , et al. · 2025

The LiteBIRD satellite mission aims at detecting Cosmic Microwave Background B modes with unprecedented precision, targeting a total error on the tensor-to-scalar ratio r of δr ∼ 0.001. Operating from the L2 Lagrangian point of the Sun-Ear…

Requirements on bandpass resolution and measurement precision for LiteBIRD Open

S. Giardiello, A. Carones, T. Ghigna, L. Pagano, F. Piacentini , et al. · 2025

Systematic effects can hinder the sought-after detection of primordial gravitational waves, impacting the reconstruction of the B -mode polarization signal which they generate in the cosmic microwave background (CMB). In this work, we stud…

First release of LiteBIRD simulations from an end-to-end pipeline Open

M. Bortolami, N. Raffuzzi, L. Pagano, Giuseppe Puglisi, Ashish Anand , et al. · 2025

The LiteBIRD satellite mission aims at detecting Cosmic Microwave Background $B$ modes with unprecedented precision, targeting a total error on the tensor-to-scalar ratio $r$ of $δr \sim 0.001$. Operating from the L2 Lagrangian point of th…

On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe Open

R Aurvik, M. Galloway, E. Gjerløw, U Fuskeland, A. Basyrov , et al. · 2025

We assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors through the Cosmoglobe and Commander3 framework. The data …

LiteBIRD science goals and forecasts: constraining isotropic cosmic birefringence Open

E de la Hoz, P. Diego-Palazuelos, Josquin Errard, A. Gruppuso, Baptiste Jost , et al. · 2025

Cosmic birefringence (CB) is the rotation of the photons' linear polarisation plane during propagation. Such an effect is a tracer of parity-violating extensions of standard electromagnetism and would probe the existence of a new cosmologi…

The 30th Anniversary Initiatives of the Association for Natural Language Processing Open

Naoya Inoue, Hiroki Ouchi, Daisuke Kawahara, Sadao Kurohashi, Mamoru Komachi , et al. · 2025

Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation Open

F. Carralot, A. Carones, N. Krachmalnicoff, T. Ghigna, A. Novelli , et al. · 2025

The detection of primordial B modes of the cosmic microwave background (CMB) could provide information about the early stages of the Universe's evolution. The faintness of this signal requires exquisite calibration accuracy and control of …

Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport Open

Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira · 2024

Lexical semantic change detection aims to identify shifts in word meanings over time. While existing methods using embeddings from a diachronic corpus pair estimate the degree of change for target words, they offer limited insight into cha…

LiteBIRD science goals and forecasts. Mapping the hot gas in the Universe Open

M. Remazeilles, M. Douspis, J.A. Rubiño-Martín, A. J. Banday, J. Chluba , et al. · 2024

We assess the capabilities of the LiteBIRD mission to map the hot gas distribution in the Universe through the thermal Sunyaev-Zeldovich (SZ) effect. Our analysis relies on comprehensive simulations incorporating various sources of Galacti…

Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation Open

F. Carralot, A. Carones, N Krachmalnicoff, T. Ghigna, Andrea Novelli , et al. · 2024

Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements…

LiteBIRD Science Goals and Forecasts. Mapping the Hot Gas in the Universe Open

M. Remazeilles, M. Douspis, J. A. Rubiño-Martín, A. J. Banday, Jens Chluba , et al. · 2024

We assess the capabilities of the LiteBIRD mission to map the hot gas distribution in the Universe through the thermal Sunyaev-Zeldovich (SZ) effect. Our analysis relies on comprehensive simulations incorporating various sources of Galacti…

LiteBIRD science goals and forecasts: primordial magnetic fields Open

D. Paoletti, J. A. Rubiño-Martín, Maresuke Shiraishi, D. Molinari, Jens Chluba , et al. · 2024

We present detailed forecasts for the constraints on the characteristics of primordial magnetic fields (PMFs) generated prior to recombination that will be obtained with the LiteBIRD satellite. The constraints are driven by some of the mai…

LiteBIRD science goals and forecasts: a full-sky measurement of gravitational lensing of the CMB Open

A.I. Lonappan, Toshiya Namikawa, G. Piccirilli, P. Diego-Palazuelos, M. Ruiz-Granda , et al. · 2024

We explore the capability of measuring lensing signals in LiteBIRD full-sky polarization maps. With a 30 arcmin beam width and an impressively low polarization noise of 2.16 μ K-arcmin, LiteBIRD will be able to measure the full-sky polariz…

LiteBIRD science goals and forecasts: improving sensitivity to inflationary gravitational waves with multitracer delensing Open

Toshiya Namikawa, A.I. Lonappan, C. Baccigalupi, N. Bartolo, D. Beck , et al. · 2024

We estimate the efficiency of mitigating the lensing B -mode polarization, the so-called delensing, for the LiteBIRD experiment with multiple external data sets of lensing-mass tracers. The current best bound on the tensor-to-scalar ratio,…

LiteBIRD science goals and forecasts. A case study of the origin of primordial gravitational waves using large-scale CMB polarization Open

P. Campeti, Eiichiro Komatsu, C. Baccigalupi, M. Ballardini, N. Bartolo , et al. · 2024

We study the possibility of using the LiteBIRD satellite B -mode survey to constrain models of inflation producing specific features in CMB angular power spectra. We explore a particular model example, i.e. spectator axion-SU(2) gauge fiel…

LiteBIRD Science Goals and Forecasts: Primordial Magnetic Fields Open

D. Paoletti, J. A. Rubiño-Martín, Maresuke Shiraishi, D. Molinari, Jens Chluba , et al. · 2024

We present detailed forecasts for the constraints on primordial magnetic fields (PMFs) that will be obtained with the LiteBIRD satellite. The constraints are driven by the effects of PMFs on the CMB anisotropies: the gravitational effects …

Let us spend a bit different summer with the LSJ Summer Institute Open

Ryo Nagata · 2024

Report on the Theme Session “Linguistics and Natural Language Processing in the Era of Deep Learning” Open

Ryo Nagata, Naoki Otani, Yoshifumi Kawasaki, Hiroya Takamura · 2024

LiteBIRD Science Goals and Forecasts: Improving Sensitivity to Inflationary Gravitational Waves with Multitracer Delensing Open

Toshiya Namikawa, A.I. Lonappan, C. Baccigalupi, N. Bartolo, D. Beck , et al. · 2023

We estimate the efficiency of mitigating the lensing $B$-mode polarization, the so-called delensing, for the $LiteBIRD$ experiment with multiple external data sets of lensing-mass tracers. The current best bound on the tensor-to-scalar rat…

LiteBIRD Science Goals and Forecasts: A full-sky measurement of gravitational lensing of the CMB Open

A.I. Lonappan, Toshiya Namikawa, G. Piccirilli, P. Diego-Palazuelos, M. Ruiz-Granda , et al. · 2023

We explore the capability of measuring lensing signals in $LiteBIRD$ full-sky polarization maps. With a $30$ arcmin beam width and an impressively low polarization noise of $2.16\,μ$K-arcmin, $LiteBIRD$ will be able to measure the full-sky…

LiteBIRD Science Goals and Forecasts. A Case Study of the Origin of Primordial Gravitational Waves using Large-Scale CMB Polarization Open

P. Campeti, Eiichiro Komatsu, C. Baccigalupi, M. Ballardini, N. Bartolo , et al. · 2023

We study the possibility of using the $LiteBIRD$ satellite $B$-mode survey to constrain models of inflation producing specific features in CMB angular power spectra. We explore a particular model example, i.e. spectator axion-SU(2) gauge f…

Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations Open

U. Fuskeland, J. Aumont, R. Aurlien, C. Baccigalupi, A. J. Banday , et al. · 2023

LiteBIRD is a planned JAXA-led cosmic microwave background (CMB) B -mode satellite experiment aiming for launch in the late 2020s, with a primary goal of detecting the imprint of primordial inflationary gravitational waves. Its current bas…

Meetup for Study Abroad, 2023 Open

Katsuhito Sudoh, Keisuke Sakaguchi, Yohei Oseki, Ryo Nagata · 2023

Exploring how well Large-scale Masked Language Models can Recognize Grammatical Errors Open

Manabu Kimura, Ryo Nagata, Kazuaki Hanawa · 2023

In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail. We first show that 5 to 10% of training data are enough for a BERT-based error detection method to achieve performance equiv…

A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners Open

Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita · 2023

Generating Dialog Responses with Specified Grammatical Items for Second Language Learning Open

Yuki Okano, Kotaro Funakoshi, Ryo Nagata, Manabu Okumura · 2023

This paper proposes a new second language learning task of generating a response including specified grammatical items. We consider two approaches: 1) fine-tuning a pre-trained language model (DialoGPT) by reinforcement learning and 2) pro…

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

N. Krachmalnicoff, T. Matsumura, E de la Hoz, S. Basak, A. Gruppuso , et al. · 2022

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 sim…

Analyzing Methods for Generating Feedback Comments for Language Learners Open

Kazuaki Hanawa, Ryo Nagata, Kentaro Inui · 2022

Feedback comment generation is the task of generating explanatory notes for language learners. Although various generation techniques are available, little is known about which methods are appropriate for this task. Nagata (2019) demonstra…

Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors Open

Ryo Nagata, Manabu Kimura, Kazuaki Hanawa · 2022

In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail. We first show that 5 to 10% of training data are enough for a BERT-based error detection method to achieve performance equiv…

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