F. Herbst

works on

event validation 1 glitch classification 1 LIGO-Virgo-KAGRA 1 machine learning 1 time-frequency analysis 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

gr-qc2026

GSpyNetTree-O4: an event validation tool used in the fourth LIGO-Virgo-KAGRA observing run

Sofia Alvarez-Lopez, Man Leong Chan, Franz S. Herbst +7

The paper presents GSpyNetTree-O4, a machine‑learning tool deployed in the fourth LIGO‑Virgo‑KAGRA observing run to classify detector glitches and validate gravitational‑wave event…

astro-ph.IM2026

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit

Derek Davis, Zach Yarbrough, Joseph Areeda +30

We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth…

cond-mat.mtrl-sci2025

Field-tuning of ultrafast magnetization fluctuations in Sm $_{0.7}$ Er $_{0.3}$ FeO $_{3}$

Marvin Alexander Weiss, Julius Schlegel, Daniel AniÄ +7

The properties of spin fluctuations in antiferromagnets are largely unexplored, in particular at ultrafast timescales. Here, we employ femtosecond noise correlation spectroscopy (F…

GSpyNetTree-O4: an event validation tool used in the fourth LIGO-Virgo-KAGRA observing run

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit

Field-tuning of ultrafast magnetization fluctuations in Sm0.7​Er0.3​FeO3​

Field-tuning of ultrafast magnetization fluctuations in Sm $_{0.7}$ Er $_{0.3}$ FeO $_{3}$