Explanipedia

Probing regular black holes with sub-Planckian curvature through periodic orbits and their gravitational wave radiation Open

Soroush Zare, Tao Zhu, Luis M. Nieto, S. Lu, H. Hassanabadi · 2025

Extreme mass-ratio inspirals (EMRIs) are among the key targets for future space-based gravitational wave detectors. The gravitational waveforms emitted by EMRIs are highly sensitive to the orbital dynamics of the small compact object, whic…

A sustainable strategy for upcycling spent NCM into LiNiCoMnO2 cathode material for advanced lithium-ion batteries Open

Jing Sun, Wenxing Chen, S. Lu, Zhanlong Song, Wenlong Wang , et al. · 2025

Accelerated Biological Aging, Genetic Predisposition, and Incident Valvular Heart Disease Open

Yongjian Zhu, X H Suo, Jing Guo, S. Lu, Junxi Zhang , et al. · 2025

Advanced biological aging was significantly associated with an increased risk of VHD and could serve as a potential target for clinical prediction and intervention.

The AMACStar ASIC for the HL-LHC ATLAS ITk Strip detector: design, verification, testing, and quality assurance Open

W.J. Ashmanskas, T. C. Gosart, L. F. Gutierrez Zagazeta, P. Keener, I. Joseph Kroll , et al. · 2025

For the high-luminosity upgrade to the LHC (HL-LHC), the ATLAS detector at CERN requires an all-new inner detector, the Inner Tracker (ITk). The ITk Strip subdetector is made up of silicon modules, which include three types of radiation-ha…

Enhancing Text Classification with a Novel Multi-Agent Collaboration Framework Leveraging BERT Open

Hediyeh Baban, Sai A Pidapar, Aashutosh Nema, S. Lu · 2025

We introduce a novel multi-agent collaboration framework designed to enhance the accuracy and robustness of text classification models. Leveraging BERT as the primary classifier, our framework dynamically escalates low-confidence predictio…

Source-Free Object Detection with Detection Transformer Open

Huizai Yao, Sicheng Zhao, S. Lu, Hui Chen, Yangyang Li , et al. · 2025

Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD approaches are either confined to conventional obje…

Shower separation in five dimensions for highly granular calorimeters using machine learning Open

S. Lai, J. Utehs, A. Wilhahn, M. C. Fouz, O. Bach , et al. · 2024

To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles. …

Software compensation for highly granular calorimeters using machine learning Open

S. Lai, J. Utehs, A. Wilhahn, O. Bach, E. Brianne , et al. · 2024

A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is e…

$$\chi$$-linguistic sets and its application for the linguistic multi-attribute group decision making Open

Sidong Xian, Mengnan Liu, Zhiyu Xian, Jiahui Chai, S. Lu , et al. · 2024

The information in the real world often contains many properties such as fuzziness, randomness, and approximation. Although existing linguistic collections attempt to solve these problems, with the emergence of more and more constraints an…

Design, construction and commissioning of a technological prototype of a highly granular SiPM-on-tile scintillator-steel hadronic calorimeter Open

A. White, J. S. Yu, G. Eigen, J. Zalieckas, D. Dannheim , et al. · 2023

The CALICE collaboration is developing highly granular electromagnetic and hadronic calorimeters for detectors at future energy frontier electron-positron colliders. After successful tests of a physics prototype, a technological prototype …

Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection Open

Yan Liang, P. Melchior, S. Lu, Andy D. Goulding, Charlotte Ward · 2023

We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender , which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra…

Testing of the HCC and AMAC functionality and radiation tolerance for the HL-LHC ATLAS ITk strip detector Open

J. R. Dandoy, N. Dressnandt, T. C. Gosart, L. F. Gutierrez Zagazeta, P. Keener , et al. · 2023

For the high-luminosity phase of the LHC, which begins operation in 2029, the current ATLAS inner detector will be replaced by a new tracker, the ITk. The ITk consists of two subdetectors, one using pixels and the second using silicon-stri…

Autoencoding Galaxy Spectra II: Redshift Invariance and Outlier Detection Open

Yan Liang, P. Melchior, S. Lu, Andy D. Goulding, Charlotte Ward · 2023

We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender, which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra.…

Irradiation testing of ASICs for the HL-LHC ATLAS ITk Strip Detector Open

J. R. Dandoy, N. Dressnandt, T. C. Gosart, L. F. Gutierrez Zagazeta, P. Keener , et al. · 2023

For the high-luminosity upgrade to the LHC, the ATLAS Inner Detector will be replaced by an all-silicon tracker (ITk) consisting of two systems: pixels and strips. HCC and AMAC are ITk Strip ASICs vital for performing the system readout, m…

Verification of simulated ASIC functionality and radiation tolerance for the HL-LHC ATLAS ITk Strip Detector Open

W.J. Ashmanskas, J. R. Dandoy, N. Dressnandt, P. Keener, E. Lipeles , et al. · 2023

The verification of ASICs through simulation is critical to ensure their successful operation in particle physics detectors and to minimize the number of long and expensive production cycles required. Three radiation-tolerant ASICs (HCC, A…

EVENLY MATCHED COMPETITIVE STRATEGIES: DYNAMIC DIFFICULTY ADAPTATION IN A GAME-BASED LEARNING SYSTEM Open

Chia-Cheng Chou, S. Lu · 2022

Game-based learning is a highly motivational learning approach, with appropriate difficulty level being the key to level of motivation in this type of learning. However, it is not easy to adapt the difficulty of game-based learning for som…

TMSCl-Catalyzed Tandem Reaction of Dihydroisobenzofuran Acetals with Indoles Open

Ming Zhang, S. Lu, Guofeng Li, Liang Hong · 2020

A TMSCl-catalyzed tandem reaction of dihydroisobenzofuran acetals with indoles has been developped, which could provide an efficient and straightforward access to various tetrahydroisoquinolones in moderate to excellent yields. This proces…

Characterisation of different stages of hadronic showers using the CALICE Si-W ECAL physics prototype Open

G. Eigen, T. Price, N. K. Watson, Alasdair Winter, Younghae Do , et al. · 2019

Tracks of hadronic showers in the CALICE Si-W ECAL physics prototype Open

G. Eigen, T. Price, N. K. Watson, Alasdair Winter, Younghae Do , et al. · 2019

A detailed investigation of hadronic interactions is performed using $\pi^-$ data with energies in the range 2-10 GeV, recorded at FNAL in 2008, incident on a high granularity silicon-tungsten electromagnetic calorimeter. The region in whi…

Hadronic energy resolution of a combined high granularity scintillator calorimeter system Open

J. Repond, L. Xia, J. Apostolakis, G. Folger, Vladimir Ivantchenko , et al. · 2018

This paper presents results obtained with the combined CALICE Scintillator Electromagnetic Calorimeter, Analogue Hadronic Calorimeter and Tail Catcher & Muon Tracker, three high granularity scintillator-SiPM calorimeter prototypes. The res…

Hadronic Energy Resolution of a Combined High Granularity Scintillator Calorimeter System Open

CALICE Collaboration, J. Repond, L. Xia, J. Apostolakis, G. Folger , et al. · 2018

This paper presents results obtained with the combined CALICE Scintillator Electromagnetic Calorimeter, Analogue Hadronic Calorimeter and Tail Catcher & Muon Tracker, three high granularity scintillator-SiPM calorimeter prototypes. The res…

Determination of N* amplitudes from associated strangeness production in p+p collisions Open

R. H. Munzer, L. Fabbietti, E. Epple, S. Lu, Philipp Klose , et al. · 2018

Construction and response of a highly granular scintillator-based electromagnetic calorimeter Open

J. Repond, L. Xia, G. Eigen, T. Price, N. K. Watson , et al. · 2018

Detector Simulations with DD4hep Open

M. Petrič, M. Frank, Frank Gaede, S. Lu, N. Nikiforou , et al. · 2017

Detector description is a key component of detector design studies, test beam analyses, and most of particle physics experiments that require the simulation of more and more different detector geometries and event types. This paper describ…

DD4Hep Based Event Reconstruction Open

André Sailer, M. Frank, F. Gaede, D. Hynds, S. Lu , et al. · 2017

The DD4HEP detector description toolkit offers a flexible and easy-to-use solution for the consistent and complete description of particle physics detectors in a single system. The sub-component DDREC provides a dedicated interface to the …

Construction and Response of a Highly Granular Scintillator-based Electromagnetic Calorimeter Open

CALICE Collaboration, J. Repond, L. Xia, G. Eigen, T. Price , et al. · 2017

A highly granular electromagnetic calorimeter with scintillator strip readout is being developed for future lepton collider experiments. A prototype of 21.5 $X_0$ depth and $180 \times 180 $mm$^2$ transverse dimensions was constructed, con…

Tracking within Hadronic Showers in the CALICE SDHCAL prototype using a Hough Transform Technique Open

Z. Y. Deng, Yifan Li, Y. Wang, Q. Yue, Z. Yang , et al. · 2017

The high granularity of the CALICE Semi-Digital Hadronic CALorimeter (SDHCAL)provides the capability to reveal the track segments present in hadronic showers. These segmentsare then used as a tool to probe the behaviour of the active layer…

Resistive Plate Chamber digitization in a hadronic shower environment Open

Z. Y. Deng, Y. Li, Y. Wang, Qian Yue, Z. Yang , et al. · 2016

The CALICE Semi-Digital Hadron Calorimeter (SDHCAL) technological prototype is a sampling calorimeter using Glass Resistive Plate Chamber detectors with a three-threshold readout as the active medium. This technology is one of the two opti…

Hadron shower decomposition in the highly granular CALICE analogue hadron calorimeter Open

G. Eigen, T. Price, N. K. Watson, J. Marshall, M. Thomson , et al. · 2016

The spatial development of hadronic showers in the CALICE scintillator-steel analogue hadron calorimeter is studied using test beam data collected at CERN and FNAL for single positive pions and protons with initial momenta in the range fro…

DHCAL with minimal absorber: measurements with positrons Open

B. Freund, C. Neubüser, J. Repond, J. Schlereth, L. Xia , et al. · 2016

In special tests, the active layers of the CALICE Digital Hadron Calorimeter prototype, the DHCAL, were exposed to low energy particle beams, without being interleaved by absorber plates. The thickness of each layer corresponded approximat…

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