activity
20022026
most citedFirst results from the OSQAR photon regeneration experiment: No light shining through a wall

116 citations · 211 across the 20 of their papers we have counts for

collaborators

22 papers

gr-qc2026

The impact of physically motivated calibration errors on search pipeline detection parameters for broadband burst Signals

Milan Wils, Brad Ratto, Jeffrey S. Kissel +4

Imperfections in the calibration of gravitational wave observatories introduce frequency dependent amplitude and phase errors on the measured GW signal. Previous unmodelled burst s…

physics.ins-det2026

Demonstrating CBM Capabilities by Baryon Reconstruction in Ni+Ni Collisions with the mCBM Experiment at SIS18 of GSI/FAIR

CBM Collaboration, A. Agarwal, Z. Ahammed +338

The Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for Antiproton and Ion Research (FAIR) is a high-rate fixed-target experiment designed to investigate nucle…

nucl-ex2026

Isospin-symmetry violation - kaons and beyond (ISO-BREAK 25: summary and outlook)

Marek Gazdzicki, Francesco Giacosa, Katarzyna Grebieszkow +40

This report summarizes the presentations and discussions during the ISO-BREAK 25 Workshop ``Isospin symmetry violation: kaons and beyond'', which was held at Jan Kochanowski Univer…

quant-ph2026

Quantum reservoir computing with classical and nonclassical states in an integrated optical circuit

S. Świerczewski, W. Verstraelen, P. Deuar +3

Quantum reservoir computing (QRC) is a hardware-implementation-friendly quantum neural network scheme with minimal physical system requirements and a proven advantage over classica…

astro-ph.HE2026

A Faint Progenitor System for the Faint Supernova 2024vjm

Erez A. Zimmerman, Avishay Gal-Yam, Paul J. Groot +68

Type Ia Supernovae (SNe Ia) are well known for their role as standardizable cosmological candles. Their uniformity is credited to their single origin as thermonuclear explosions of…

cond-mat.mtrl-sci2026

Hierarchical Crystal Structure Prediction of Zeolitic Imidazolate Frameworks Using DFT and Machine-Learned Interatomic Potentials

Yizhi Xu, Jordan Dorrell, Katarina Lisac +4

Crystal structure prediction (CSP) is emerging as a powerful method for the computational design of metal-organic frameworks (MOFs). In this article we employ CSP to perform high-t…