Tootfinder

A pipeline to search for signatures of line-of-sight acceleration in gravitational wave signals produced by compact binary coalescences
Avinash Tiwari, Aditya Vijaykumar, Shasvath J. Kapadia, Shrobana Ghosh, Alex B. Nielsen
https://arxiv.org/abs/2506.22272

A pipeline to search for signatures of line-of-sight acceleration in gravitational wave signals produced by compact binary coalescences
Compact binary coalescences (CBCs), such as merging binary black holes (BBHs), binary neutron stars (BNSs), or neutron star black holes (NSBHs), hosted by dense stellar environments, could produce gravitational waves (GWs) that contain signatures of line-of-sight acceleration (LOSA) imparted by the environment's gravitational potential. We calculate the Post-Newtonian (PN) corrections to the $(2,\,2)$ mode GW phase due to a finite LOSA, starting from the leading order at -4 PN below the quadrup…

I just implemented librenms-agent and the certificate check on my systems.
I just love the way I can easily access information about a system across its configuration.
For the certificate check I need the domain/s of the system.
While I'm sure this could be further improved it is already a lot of fun to use.
```
az-librenms-certificate = {
enable = true;
domains = [
{ fqdn = "${config.services.freshrss.virtualHost}&qu…

Various Artists – 2000’s Horrors
#byncnd

This https://arxiv.org/abs/2505.07719 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hep…

Training neural control variates using correlated configurations
Neural control variates (NCVs) have emerged as a powerful tool for variance reduction in Monte Carlo (MC) simulations, particularly in high-dimensional problems where traditional control variates are difficult to construct analytically. By training neural networks to learn auxiliary functions correlated with the target observable, NCVs can significantly reduce estimator variance while preserving unbiasedness. However, a critical but often overlooked aspect of NCV training is the role of autocor…

The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes
Christian E. A. Chapman-Bird, Lorenzo Speri, Zachary Nasipak, Ollie Burke, Michael L. Katz, Alessandro Santini, Shubham Kejriwal, Philip Lynch, Josh Mathews, Hassan Khalvati, Jonathan E. Thompson, Soichiro Isoyama, Scott A. Hughes, Niels Warburton, Alvin J. K. Chua, Maxime Pigou

The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes
Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient waveform models. Intermediate- and extreme-mass-ratio inspirals (I/EMRIs), with mass ratios $q \gtrsim 10^2$, are promising sources for future detectors such as the Laser Interferometer Space Antenna (LISA). Modelling waveforms for these asymmetric-mass binaries is challenging, entailing the tracking of many harmonic mod…