High-precision regression of physical parameters from black hole images generated by General Relativistic Ray Tracing (GRRT) is essential for investigating spacetime curvature and advancing black hole astrophysics. However, owing to limitations in observational resolution, high observational costs, and imbalanced distributions of positive and negative samples, black hole images often suffer from data scarcity, sparse parameter spaces, and complex structural characteristics. These factors pose significant challenges to conventional regression methods based on simplified physical models. To overcome these challenges, this study introduces the Multiscale Adaptive Network (MANet), a novel regression framework grounded in deep learning. MANet integrates an Adaptive Channel Attention (ACA) module to selectively enhance features in physically informative regions. Meanwhile, a Multiscale Enhancement Feature Pyramid (MEFP) is employed to capture fine-grained spatial structures, such as photon rings and accretion disks, while alleviating information loss due to downsampling. Experimental evaluations on GRRT-simulated datasets demonstrate that MANet substantially improves parameter estimation accuracy and generalization capability in high-dimensional parameter spaces, outperforming existing baseline approaches. This framework presents a promising avenue for high-precision parameter regression in Event Horizon Telescope (EHT) data analysis and broader astrophysical imaging applications characterized by sparse and noisy data.

China

Jialei Wei

Ao Liu

Dejiang Li

Cuihong Wen

Physical parameter regression from black hole images using a multiscale adaptive neural network * Supported by the Natural Science Foundation of Hunan Province under grant No. 2023JJ30384; the National Natural Science Foundation of China under Grants No. 12374408; the University Students' Innovation and Entrepreneurship Training Program Project

A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the $\textit{b}$-jet, $\textit{c}$-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for $\textit{b}$-jets using $$t\bar{t} \rightarrow e\mu \nu \nu bb$$ data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.

France

G. Aad

Norway

E. Aakvaag

United States

B. Abbott

United Arab Emirates

S. Abdelhameed

Germany

K. Abeling

N. Abicht

S. Abidi

M. Aboelela

Morocco

A. Aboulhorma

Israel

H. Abramowicz

H. Abreu

Y. Abulaiti

Italy

United Kingdom

B. Acharya

A. Ackermann

C. Bourdarios

Poland

L. Adamczyk

S. Addepalli

M. Addison

J. Adelman

Türkiye

A. Adiguzel

T. Adye

A. Affolder

Y. Afik

Spain

M. Agaras

A. Aggarwal

Romania

C. Agheorghiesei

Azerbaijan

F. Ahmadov

S. Ahuja

X. Ai

G. Aielli

A. Aikot

M. Tamlihat

B. Aitbenchikh

M. Akbiyik

Sweden

T. Åkesson

A. Akimov

Japan

D. Akiyama

N. Akolkar

S. Aktas

K. Al Khoury

G. Alberghi

Canada

J. Albert

P. Albicocco

G. Albouy

S. Alderweireldt

Z. Alegria

Switzerland

M. Aleksa

I. Aleksandrov

C. Alexa

Greece

T. Alexopoulos

F. Alfonsi

M. Algren

M. Alhroob

Czechia

B. Ali

Saudi Arabia

H. Ali

S. Ali

S. Alibocus

South Africa

M. Aliev

G. Alimonti

W. Alkakhi

C. Allaire

B. Allbrooke

J. Allen

Chile

C. Allendes Flores

P. Allport

A. Aloisio

Argentina

F. Alonso

C. Alpigiani

Z. Alsolami

M. Alvarez Estevez

A. Alvarez Fernandez

M. Alves Cardoso

M. Alviggi

M. Aly

Brazil

Y. Amaral Coutinho

A. Ambler

C. Amelung

M. Amerl

C. Ames

D. Amidei

B. Amini

K. Amirie

Portugal

S. Amor Dos Santos

K. Amos

D. Amperiadou

S. An

V. Ananiev

C. Anastopoulos

T. Andeen

J. Anders

A. Anderson

S. Andrean

A. Andreazza

S. Angelidakis

A. Angerami

A. Anisenkov

A. Annovi

C. Antel

E. Antipov

A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps

A search for a non-zero Electric Dipole Moment (EDM) of particles, which is a clear signal of a violation of CP symmetry, is one of the unique ways to discover physics beyond the Standard Model. In this paper, we discuss a method for determining the EDM of baryons from the full angular distribution of final particles in electron-positron pair annihilation processes. The question of how accurately the state-of-the-art experiments can determine EDM of $$\Lambda $$ and $$\Lambda _c^+$$ baryons is discussed in detail. Investigating the pseudo-statistics that corresponds to the BESIII experiment, the estimated sensitivity for $$\Lambda $$ EDM is obtained at the level of $$10^{-18}$$ $$e\,$$ cm. The similar figure for the proposed Super Tau-Charm Facility (STCF) experiment is found to be of the order of $$10^{-20}$$ $$e\,$$ cm. For the $$\Lambda _c^+$$ EDM, the calculated sensitivity for the STCF experiment is $$10^{-16}$$ $$e\,$$ cm. The case of a polarized initial electron is considered separately as such an option is planned at the STCF experiment.

Ukraine

R. Ovsiannikov

A. Korchin

E. Kou

Determination of the sensitivity of $$\Lambda $$ and $$\Lambda ^+_c$$ electric dipole moments using a full angular analysis

We study a scenario where the Standard Model is extended by a SU(2) gauge group in the dark sector. The three associated dark gauge bosons are stabilized via a custodial symmetry triggered by an additional dark SU(2) scalar doublet, thus making them viable dark-matter candidates. After considering the most recent constraints for this model, we analyze the phase transition dynamics and compute the power spectrum of the resulting stochastic gravitational-wave background. Finally, we find regions of the parameter space yielding the observed dark-matter relic density while also leading to a strong enough phase transition with an associated gravitational-wave signal reaching the sensitivity of a future space-based gravitational-wave detector, such as LISA, DECIGO, BBO, TianQin, or Taiji.

Nico Benincasa

Luigi Delle Rose

Luca Panizzi

Maimoona Razzaq

Savio Urzetta

Phase transitions and gravitational waves in a non-Abelian vector dark matter scenario

We consider a class of models in the framework of metric-affine gravity and establish their correspondence to the bosonic sector of a class of no-scale supergravity models. The excellent inflationary behavior of the gravitational models considered is carried over to the corresponding supergravity ones, thus, enriching the landscape of inflation-compatible models.

Estonia

Ioannis D. Gialamas

Theodoros Katsoulas

Kyriakos Tamvakis

Toward a gravitational network: Bridging metric-affine gravity and no-scale supergravity

We searched for bound neutron decay via <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mi>n</mi><mo stretchy="false">→</mo><mover accent="true"><mi>ν</mi><mo stretchy="false">¯</mo></mover><mo>+</mo><msup><mi>K</mi><mn>0</mn></msup></math> predicted by the grand unified theories in <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mn>0.401</mn><mtext> </mtext><mtext> </mtext><mi>Mton</mi><mo>·</mo><mi>years</mi></mrow></math> exposure of all pure water phases in the Super-Kamiokande detector. About 4.4 times more data than in the previous search have been analyzed by a new method including a spectrum fit to kaon invariant mass distributions. No significant data excess has been observed in the signal regions. As a result of this analysis, we set a lower limit of <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mn>7.8</mn><mo>×</mo><msup><mn>10</mn><mn>32</mn></msup><mtext> </mtext><mtext> </mtext><mi>years</mi></math> on the neutron lifetime at a 90% confidence level.

K. Yamauchi

K. Abe

S. Abe

Y. Asaoka

M. Harada

Y. Hayato

K. Hiraide

K. Hosokawa

K. Ieki

M. Ikeda

J. Kameda

Y. Kanemura

Y. Kataoka

S. Miki

S. Mine

M. Miura

S. Moriyama

M. Nakahata

S. Nakayama

Y. Noguchi

G. Pronost

K. Sato

H. Sekiya

K. Shimizu

R. Shinoda

M. Shiozawa

Y. Suzuki

A. Takeda

Y. Takemoto

H. Tanaka

T. Yano

Y. Itow

T. Kajita

R. Nishijima

K. Okumura

T. Tashiro

T. Tomiya

X. Wang

P. Fernandez

L. Labarga

D. Samudio

B. Zaldivar

B.W. Pointon

C. Yanagisawa

E. Kearns

J. Mirabito

L. Wan

Search for neutron decay into an antineutrino and a neutral kaon in 0.401 megaton-years exposure of Super-Kamiokande