Search for Long-Transient Gravitational Waves from Supernova SN2023ixf using GFH-v2 Pipeline

@misc{menon2026search,
  title = {{Search for Long-Transient Gravitational Waves from Supernova SN2023ixf using GFH-v2 Pipeline}},
  author = {Sandhya Sajith Menon and Lorenzo Pierini and Pia Astone and Cristiano Palomba and Francesco Safai Tehrani and Lorenzo Silvestri and Ornella Juliana Piccinni and Simone Dall'Osso and Stefano Dal Pra and Sabrina D'Antonio and Sergio Frasca and Dafne Guetta and Paola Leaci and Michal Bejger and Alicia Calafat and Evan Goetz and Rafel Jaume Amengual and Ian Jones and David Keitel and Andrzej Krolak and Iuri La Rosa and Andrew Melatos and Joan-Rene Merou and Lorenzo Mirasola and Claudio Salvadore and Alicia M. Sintes and Karl Wette},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.07774},
  eprint = {2609.07774},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.07774},
  note = {CC BY 4.0},
}

TY  - UNPB
TI  - Search for Long-Transient Gravitational Waves from Supernova SN2023ixf using GFH-v2 Pipeline
AU  - Sandhya Sajith Menon
AU  - Lorenzo Pierini
AU  - Pia Astone
AU  - Cristiano Palomba
AU  - Francesco Safai Tehrani
AU  - Lorenzo Silvestri
AU  - Ornella Juliana Piccinni
AU  - Simone Dall'Osso
AU  - Stefano Dal Pra
AU  - Sabrina D'Antonio
AU  - Sergio Frasca
AU  - Dafne Guetta
AU  - Paola Leaci
AU  - Michal Bejger
AU  - Alicia Calafat
AU  - Evan Goetz
AU  - Rafel Jaume Amengual
AU  - Ian Jones
AU  - David Keitel
AU  - Andrzej Krolak
AU  - Iuri La Rosa
AU  - Andrew Melatos
AU  - Joan-Rene Merou
AU  - Lorenzo Mirasola
AU  - Claudio Salvadore
AU  - Alicia M. Sintes
AU  - Karl Wette
PY  - 2026
DA  - 2026/09/09
PB  - arXiv
DO  - 10.48550/arxiv.2609.07774
UR  - https://arxiv.org/abs/2609.07774
AB  - We present a directed search for long-transient gravitational waves from the possible newborn magnetar remnant of SN2023ixf, a nearby Type II core-collapse supernova in the M101 galaxy. The analysis uses LIGO Hanford and Livingston data from Engineering Run 15, using coincident data lying within the on-source window associated with the supernova. We target signals from a rapidly rotating, non-axisymmetric neutron star whose spin-down is dominated by gravitational-wave emission, producing a power-law decrease in frequency and a corresponding decrease in strain amplitude. The search is performed with the GFH-v2 pipeline, based on the Generalized Frequency Hough transform. No candidate survives the coincidence and follow-up analysis. We therefore set upper limits on the maximum detectable distance as a function of initial frequency and ellipticity. For the highest ellipticity interval, the 90% upper limits reach distances of about 1-2.5~Mpc across most of the analysed band. Although these limits are below the distance to M101, the search provides the first application of GFH-v2 to a nearby core-collapse supernova and characterizes its performance on real detector data.
ER  -