A mock data challenge for next-generation detectors

この論文は、第 3 世代重力波観測所「Einstein Telescope」のデータ解析パイプライン開発とテストを目的とした最初のモックデータチャレンジ(MDC)を概説し、注入された重力波信号の特性やガウスノイズを備えた模擬データセット、およびデータアクセスと基礎分析のためのチュートリアルを提供するものである。

Regimbau Tania, Suresh Jishnu2026-03-09🔭 astro-ph

DESI DR2 reference mocks: clustering results from Uchuu-BGS and LRG

DESI の第 2 回データリリース(DR2)に向けた Uchuu 大規模 N 体シミュレーションとサブハロー数密度一致法(SHAM)を用いた LRG および BGS 銀河のモックカタログを構築し、これらが観測された赤方偏移進化や星質量・光度に依存するクラスターリング統計を高い精度で再現することを実証しました。

E. Fernández-García, F. Prada, A. Smith, J. DeRose, A. J. Ross, S. Bailey, M. S. Wang, Z. Ding, C. Guandalin, C. Lamman, R. Vaisakh, R. Kehoe, J. Lasker, T. Ishiyama, S. M. Moore, S. Cole, M. Siudek, A. Amalbert, A. Salcedo, A. Hearin, B. Joachimi, A. Rocher, S. Saito, A. Krolewski, Z. Slepian, Q. Li, K. S. Dawson, E. Jullo, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, S. Gontcho A Gontcho, G. Gutierrez, K. Honscheid, M. Ishak, R. Joyce, S. Juneau, D. Kirkby, T. Kisner, A. Kremin, O. Lahav, A. Lambert, M. Landriau, M. E. Levi, M. Manera, R. Miquel, J. Moustakas, S. Nadathur, W. J. Percival, I. Pérez-Ràfols, G. Rossi, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarlé, B. A. Weaver, P. Zarrouk, R. Zhou2026-03-09🔭 astro-ph

PyBird-JAX: Accelerated inference in large-scale structure with model-independent emulation of one-loop galaxy power spectra

この論文は、内部ニューラルネットワークエミュレータと JAX を活用して 1 ループ EFTofLSS による銀河パワースペクトル計算を大幅に高速化・微分可能化した「PyBird-JAX」を開発し、次世代大規模構造調査に向けた高精度かつ迅速な宇宙論的推論を可能にしたことを報告しています。

Alexander Reeves, Pierre Zhang, Henry Zheng2026-03-09🔭 astro-ph

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: II. Super-Eddington Accretion

この論文は、角度離散化放射輸送を組み込んだ一般相対性流体力学シミュレーションを用いて、超エディントン降着が放射圧で支えられた幾何学的に厚い円盤と流出を形成し、磁場トポロジーやブラックホールのスピンに応じてジェットや放射効率、観測的シグネチャーがどのように変化するかを包括的に解析したものである。

Lizhong Zhang, James M. Stone, Christopher J. White, Shane W. Davis, Yan-Fei Jiang, Patrick D. Mullen2026-03-09🔭 astro-ph

Rotating neutron stars within the macroscopic effective-surface approximation

この論文は、有効表面近似を用いた巨視的モデルを回転する中性子星に拡張し、一般相対性理論に基づいて角運動量や慣性モーメントの解析的式を導出するとともに、表面項と時空相関の影響を考慮して中性子星の半径に対する新たな制約を明らかにしたものである。

A. G. Magner, S. P. Maydanyuk, A. Bonasera, H. Zheng, S. N. Fedotkin, A. I. Levon, T. Depastas, U. V. Grygoriev, A. A. Uleiev2026-03-09🔭 astro-ph

Parity in Composite-Field Galaxy Correlators

本論文は、宇宙論的パリティ対称性の破れを検出するために、銀河分布のトリスペクトルを効率的に圧縮する新しい「パリティ非対称なカーツスペクトル」を提案し、その理論的予測手法を開発するとともに、N 体シミュレーションを用いた検証や将来の観測計画における検出可能性の予測を行ったものである。

Zucheng Gao, Azadeh Moradinezhad Dizgah, Zvonimir Vlah2026-03-09🔭 astro-ph

Supernovae Exploding within Dense Extended Material: Early Emission Regimes and Degeneracies in Parameter Inference from Observations

この論文は、高密度の拡張物質中を爆発する超新星の初期放射を解析し、光学観測だけでは物質の半径などのパラメータ推定に大きな不確実性(縮退)が生じることを示し、紫外線や X 線での早期多波長観測(特に ULTRASAT 計画など)がこれらの制約を打破し、 progenitor 星の性質を解明する鍵となると結論付けています。

Tal Wasserman, Eli Waxman2026-03-09🔭 astro-ph

Excursion Set Approach to Primordial Black Holes: Cloud-in-Cloud and Mass Function Revisited

この論文は、原始ブラックホールの質量関数を記述する際、銀河ハローの形成とは異なり非マルコフ過程となることを示し、従来の「ファクター 2」の補正が適用できないことを明らかにすることで、クラウド・イン・クラウド問題の解決と質量関数の正則性を保証する新たな理論的基盤を確立した。

Ashu Kushwaha, Teruaki Suyama2026-03-09🔭 astro-ph

The trichotomy of primordial black holes initial conditions

この論文は、原始ブラックホールの形成閾値が従来の極値のみに依存するのではなく、空間幾何のリーチスカルラ(「コア」)の性質にも依存し、開・閉・平坦の 3 種類のコア条件によって閾値や形成されるブラックホールの種類(特にナノグラヴ信号に関連するタイプ I など)が異なることを示しています。

Cristiano Germani, Laia Montellà2026-03-09🔭 astro-ph

Evidence of cosmic-ray acceleration up to sub-PeV energies in the supernova remnant IC 443

LHAASO による観測結果は、超新星残骸 IC 443 が衝突波を通じてサブペタ電子ボルト(sub-PeV)領域の宇宙線を効率的に加速していることを示す決定的な証拠を提供するものである。

Zhen Cao (The LHAASO Collaboration), F. Aharonian (The LHAASO Collaboration), Y. X. Bai (The LHAASO Collaboration), Y. W. Bao (The LHAASO Collaboration), D. Bastieri (The LHAASO Collaboration), X. J. Bi (The LHAASO Collaboration), Y. J. Bi (The LHAASO Collaboration), W. Bian (The LHAASO Collaboration), A. V. Bukevich (The LHAASO Collaboration), C. M. Cai (The LHAASO Collaboration), W. Y. Cao (The LHAASO Collaboration), Zhe Cao (The LHAASO Collaboration), J. Chang (The LHAASO Collaboration), J. F. Chang (The LHAASO Collaboration), A. M. Chen (The LHAASO Collaboration), E. S. Chen (The LHAASO Collaboration), G. H. Chen (The LHAASO Collaboration), H. X. Chen (The LHAASO Collaboration), Liang Chen (The LHAASO Collaboration), Long Chen (The LHAASO Collaboration), M. J. Chen (The LHAASO Collaboration), M. L. Chen (The LHAASO Collaboration), Q. H. Chen (The LHAASO Collaboration), S. Chen (The LHAASO Collaboration), S. H. Chen (The LHAASO Collaboration), S. Z. Chen (The LHAASO Collaboration), T. L. Chen (The LHAASO Collaboration), X. B. Chen (The LHAASO Collaboration), X. J. Chen (The LHAASO Collaboration), Y. Chen (The LHAASO Collaboration), N. Cheng (The LHAASO Collaboration), Y. D. Cheng (The LHAASO Collaboration), M. C. Chu (The LHAASO Collaboration), M. Y. Cui (The LHAASO Collaboration), S. W. Cui (The LHAASO Collaboration), X. H. Cui (The LHAASO Collaboration), Y. D. Cui (The LHAASO Collaboration), B. Z. Dai (The LHAASO Collaboration), H. L. Dai (The LHAASO Collaboration), Z. G. Dai (The LHAASO Collaboration), Danzengluobu (The LHAASO Collaboration), Y. X. Diao (The LHAASO Collaboration), X. Q. Dong (The LHAASO Collaboration), K. K. Duan (The LHAASO Collaboration), J. H. Fan (The LHAASO Collaboration), Y. Z. Fan (The LHAASO Collaboration), J. Fang (The LHAASO Collaboration), J. H. Fang (The LHAASO Collaboration), K. Fang (The LHAASO Collaboration), C. F. Feng (The LHAASO Collaboration), H. Feng (The LHAASO Collaboration), L. Feng (The LHAASO Collaboration), S. H. Feng (The LHAASO Collaboration), X. T. Feng (The LHAASO Collaboration), Y. Feng (The LHAASO Collaboration), Y. L. Feng (The LHAASO Collaboration), S. Gabici (The LHAASO Collaboration), B. Gao (The LHAASO Collaboration), C. D. Gao (The LHAASO Collaboration), Q. Gao (The LHAASO Collaboration), W. Gao (The LHAASO Collaboration), W. K. Gao (The LHAASO Collaboration), M. M. Ge (The LHAASO Collaboration), T. T. Ge (The LHAASO Collaboration), L. S. Geng (The LHAASO Collaboration), G. Giacinti (The LHAASO Collaboration), G. H. Gong (The LHAASO Collaboration), Q. B. Gou (The LHAASO Collaboration), M. H. Gu (The LHAASO Collaboration), F. L. Guo (The LHAASO Collaboration), J. Guo (The LHAASO Collaboration), X. L. Guo (The LHAASO Collaboration), Y. Q. Guo (The LHAASO Collaboration), Y. Y. Guo (The LHAASO Collaboration), Y. A. Han (The LHAASO Collaboration), O. A. Hannuksela (The LHAASO Collaboration), M. Hasan (The LHAASO Collaboration), H. H. He (The LHAASO Collaboration), H. N. He (The LHAASO Collaboration), J. Y. He (The LHAASO Collaboration), X. Y. He (The LHAASO Collaboration), Y. He (The LHAASO Collaboration), S. Hernández-Cadena (The LHAASO Collaboration), B. W. Hou (The LHAASO Collaboration), C. Hou (The LHAASO Collaboration), X. Hou (The LHAASO Collaboration), H. B. Hu (The LHAASO Collaboration), S. C. Hu (The LHAASO Collaboration), C. Huang (The LHAASO Collaboration), D. H. Huang (The LHAASO Collaboration), J. J. Huang (The LHAASO Collaboration), T. Q. Huang (The LHAASO Collaboration), W. J. Huang (The LHAASO Collaboration), X. T. Huang (The LHAASO Collaboration), X. Y. Huang (The LHAASO Collaboration), Y. Huang (The LHAASO Collaboration), Y. Y. Huang (The LHAASO Collaboration), X. L. Ji (The LHAASO Collaboration), H. Y. Jia (The LHAASO Collaboration), K. Jia (The LHAASO Collaboration), H. B. Jiang (The LHAASO Collaboration), K. Jiang (The LHAASO Collaboration), X. W. Jiang (The LHAASO Collaboration), Z. J. Jiang (The LHAASO Collaboration), M. Jin (The LHAASO Collaboration), S. Kaci (The LHAASO Collaboration), M. M. Kang (The LHAASO Collaboration), I. Karpikov (The LHAASO Collaboration), D. Khangulyan (The LHAASO Collaboration), D. Kuleshov (The LHAASO Collaboration), K. Kurinov (The LHAASO Collaboration), B. B. Li (The LHAASO Collaboration), Cheng Li (The LHAASO Collaboration), Cong Li (The LHAASO Collaboration), D. Li (The LHAASO Collaboration), F. Li (The LHAASO Collaboration), H. B. Li (The LHAASO Collaboration), H. C. Li (The LHAASO Collaboration), Jian Li (The LHAASO Collaboration), Jie Li (The LHAASO Collaboration), K. Li (The LHAASO Collaboration), L. Li (The LHAASO Collaboration), R. L. Li (The LHAASO Collaboration), S. D. Li (The LHAASO Collaboration), T. Y. Li (The LHAASO Collaboration), W. L. Li (The LHAASO Collaboration), X. R. Li (The LHAASO Collaboration), Xin Li (The LHAASO Collaboration), Y. Li (The LHAASO Collaboration), Y. Z. Li (The LHAASO Collaboration), Zhe Li (The LHAASO Collaboration), Zhuo Li (The LHAASO Collaboration), E. W. Liang (The LHAASO Collaboration), Y. F. Liang (The LHAASO Collaboration), S. J. Lin (The LHAASO Collaboration), B. Liu (The LHAASO Collaboration), C. Liu (The LHAASO Collaboration), D. Liu (The LHAASO Collaboration), D. B. Liu (The LHAASO Collaboration), H. Liu (The LHAASO Collaboration), H. D. Liu (The LHAASO Collaboration), J. Liu (The LHAASO Collaboration), J. L. Liu (The LHAASO Collaboration), J. R. Liu (The LHAASO Collaboration), M. Y. Liu (The LHAASO Collaboration), R. Y. Liu (The LHAASO Collaboration), S. M. Liu (The LHAASO Collaboration), W. Liu (The LHAASO Collaboration), X. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. N. Liu (The LHAASO Collaboration), Y. Q. Lou (The LHAASO Collaboration), Q. Luo (The LHAASO Collaboration), Y. Luo (The LHAASO Collaboration), H. K. Lv (The LHAASO Collaboration), B. Q. Ma (The LHAASO Collaboration), L. L. Ma (The LHAASO Collaboration), X. H. Ma (The LHAASO Collaboration), J. R. Mao (The LHAASO Collaboration), Z. Min (The LHAASO Collaboration), W. Mitthumsiri (The LHAASO Collaboration), G. B. Mou (The LHAASO Collaboration), H. J. Mu (The LHAASO Collaboration), A. Neronov (The LHAASO Collaboration), K. C. Y. Ng (The LHAASO Collaboration), M. Y. Ni (The LHAASO Collaboration), L. Nie (The LHAASO Collaboration), L. J. Ou (The LHAASO Collaboration), P. Pattarakijwanich (The LHAASO Collaboration), Z. Y. Pei (The LHAASO Collaboration), J. C. Qi (The LHAASO Collaboration), M. Y. Qi (The LHAASO Collaboration), J. J. Qin (The LHAASO Collaboration), A. Raza (The LHAASO Collaboration), C. Y. Ren (The LHAASO Collaboration), D. Ruffolo (The LHAASO Collaboration), A. Sáiz (The LHAASO Collaboration), D. Semikoz (The LHAASO Collaboration), L. Shao (The LHAASO Collaboration), O. Shchegolev (The LHAASO Collaboration), Y. Z. Shen (The LHAASO Collaboration), X. D. Sheng (The LHAASO Collaboration), Z. D. Shi (The LHAASO Collaboration), F. W. Shu (The LHAASO Collaboration), H. C. Song (The LHAASO Collaboration), Yu. V. Stenkin (The LHAASO Collaboration), V. Stepanov (The LHAASO Collaboration), Y. Su (The LHAASO Collaboration), D. X. Sun (The LHAASO Collaboration), H. Sun (The LHAASO Collaboration), Q. N. Sun (The LHAASO Collaboration), X. N. Sun (The LHAASO Collaboration), Z. B. Sun (The LHAASO Collaboration), N. H. Tabasam (The LHAASO Collaboration), J. Takata (The LHAASO Collaboration), P. H. T. Tam (The LHAASO Collaboration), H. B. Tan (The LHAASO Collaboration), Q. W. Tang (The LHAASO Collaboration), R. Tang (The LHAASO Collaboration), Z. B. Tang (The LHAASO Collaboration), W. W. Tian (The LHAASO Collaboration), C. N. Tong (The LHAASO Collaboration), L. H. Wan (The LHAASO Collaboration), C. Wang (The LHAASO Collaboration), G. W. Wang (The LHAASO Collaboration), H. G. Wang (The LHAASO Collaboration), J. C. Wang (The LHAASO Collaboration), K. Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), L. P. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), R. Wang (The LHAASO Collaboration), W. Wang (The LHAASO Collaboration), X. G. Wang (The LHAASO Collaboration), X. J. Wang (The LHAASO Collaboration), X. Y. Wang (The LHAASO Collaboration), Y. Wang (The LHAASO Collaboration), Y. D. Wang (The LHAASO Collaboration), Z. H. Wang (The LHAASO Collaboration), Z. X. Wang (The LHAASO Collaboration), Zheng Wang (The LHAASO Collaboration), D. M. Wei (The LHAASO Collaboration), J. J. Wei (The LHAASO Collaboration), Y. J. Wei (The LHAASO Collaboration), T. Wen (The LHAASO Collaboration), S. S. Weng (The LHAASO Collaboration), C. Y. Wu (The LHAASO Collaboration), H. R. Wu (The LHAASO Collaboration), Q. W. Wu (The LHAASO Collaboration), S. Wu (The LHAASO Collaboration), X. F. Wu (The LHAASO Collaboration), Y. S. Wu (The LHAASO Collaboration), S. Q. Xi (The LHAASO Collaboration), J. Xia (The LHAASO Collaboration), J. J. Xia (The LHAASO Collaboration), G. M. Xiang (The LHAASO Collaboration), D. X. Xiao (The LHAASO Collaboration), G. Xiao (The LHAASO Collaboration), Y. L. Xin (The LHAASO Collaboration), Y. Xing (The LHAASO Collaboration), D. R. Xiong (The LHAASO Collaboration), Z. Xiong (The LHAASO Collaboration), D. L. Xu (The LHAASO Collaboration), R. F. Xu (The LHAASO Collaboration), R. X. Xu (The LHAASO Collaboration), W. L. Xu (The LHAASO Collaboration), L. Xue (The LHAASO Collaboration), D. H. Yan (The LHAASO Collaboration), T. Yan (The LHAASO Collaboration), C. W. Yang (The LHAASO Collaboration), C. Y. Yang (The LHAASO Collaboration), F. F. Yang (The LHAASO Collaboration), L. L. Yang (The LHAASO Collaboration), M. J. Yang (The LHAASO Collaboration), R. Z. Yang (The LHAASO Collaboration), W. X. Yang (The LHAASO Collaboration), Z. H. Yang (The LHAASO Collaboration), Z. G. Yao (The LHAASO Collaboration), X. A. Ye (The LHAASO Collaboration), L. Q. Yin (The LHAASO Collaboration), N. Yin (The LHAASO Collaboration), X. H. You (The LHAASO Collaboration), Z. Y. You (The LHAASO Collaboration), Q. Yuan (The LHAASO Collaboration), H. Yue (The LHAASO Collaboration), H. D. Zeng (The LHAASO Collaboration), T. X. Zeng (The LHAASO Collaboration), W. Zeng (The LHAASO Collaboration), X. T. Zeng (The LHAASO Collaboration), M. Zha (The LHAASO Collaboration), B. B. Zhang (The LHAASO Collaboration), B. T. Zhang (The LHAASO Collaboration), C. Zhang (The LHAASO Collaboration), F. Zhang (The LHAASO Collaboration), H. Zhang (The LHAASO Collaboration), H. M. Zhang (The LHAASO Collaboration), H. Y. Zhang (The LHAASO Collaboration), J. L. Zhang (The LHAASO Collaboration), Li Zhang (The LHAASO Collaboration), P. F. Zhang (The LHAASO Collaboration), P. P. Zhang (The LHAASO Collaboration), R. Zhang (The LHAASO Collaboration), S. R. Zhang (The LHAASO Collaboration), S. S. Zhang (The LHAASO Collaboration), W. Y. Zhang (The LHAASO Collaboration), X. Zhang (The LHAASO Collaboration), X. P. Zhang (The LHAASO Collaboration), Yi Zhang (The LHAASO Collaboration), Yong Zhang (The LHAASO Collaboration), Z. P. Zhang (The LHAASO Collaboration), J. Zhao (The LHAASO Collaboration), L. Zhao (The LHAASO Collaboration), L. Z. Zhao (The LHAASO Collaboration), S. P. Zhao (The LHAASO Collaboration), X. H. Zhao (The LHAASO Collaboration), Z. H. Zhao (The LHAASO Collaboration), F. Zheng (The LHAASO Collaboration), W. J. Zhong (The LHAASO Collaboration), B. Zhou (The LHAASO Collaboration), H. Zhou (The LHAASO Collaboration), J. N. Zhou (The LHAASO Collaboration), M. Zhou (The LHAASO Collaboration), P. Zhou (The LHAASO Collaboration), R. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), B. Y. Zhu (The LHAASO Collaboration), C. G. Zhu (The LHAASO Collaboration), F. R. Zhu (The LHAASO Collaboration), H. Zhu (The LHAASO Collaboration), K. J. Zhu (The LHAASO Collaboration), Y. C. Zou (The LHAASO Collaboration), X. Zuo (The LHAASO Collaboration)2026-03-09🔭 astro-ph

A Large-Area Optical Time Projection Chamber for Hard X-ray Polarimetry with Directional Imaging of Low-Energy Electron Recoils

CYGNO プログラムで開発された大型光学 TPC のプロトタイプが、10〜60 keV の低エネルギー電子の方向性を高精度で再構成し、高い変調因子を実現したことで、硬 X 線偏光測定をより高エネルギー領域へ拡張する可能性を実証しました。

Davide Fiorina, Elisabetta Baracchini, Giorgio Dho, Paolo Soffitta, Samuele Torelli, David J. M. Marques, Enrico Costa, Sergio Fabiani, Fabio Muleri, Giovanni Mazzitelli, Atul Prajapati2026-03-09🔭 astro-ph

The maximum offsets of binary neutron star mergers from host galaxies

この論文は、連星中性子星の合体が銀河から最大どれほど離れて発生し得るかを解析的に導き出し、銀河の脱出速度に強く依存する最大オフセット距離(約 300 kpc × (v_esc / 500 km/s)^-7)を提示し、銀河と一致しない合体事象の宿主同定に役立つ知見を提供しています。

Ilya Mandel, Om Sharan Salafia, Andrew Levan, Paul Disberg2026-03-09🔭 astro-ph

Mass-to-Horizon Entropic Cosmology: A Unified Thermodynamic Pathway to Cosmic Acceleration

この論文は、大規模構造の成長データと幾何学的プローブを統合した観測的検証により、質量と地平線の一般化されたスケーリング関係に基づくエントロピック宇宙論が標準的なΛCDMモデルよりも統計的に優れており、宇宙の加速膨張が宇宙定数ではなくエントロピー力に起因する現象であることを示唆している。

Tomasz Denkiewicz, Hussain Gohar2026-03-09🔭 astro-ph