papers

Publications (43)

gr-qc2023

When to Point Your Telescopes: Gravitational Wave Trigger Classification for Real-Time Multi-Messenger Followup Observations

Anarya Ray, Wanting Niu, Shio Sakon +36

We develop a robust and self-consistent framework to extract and classify gravitational wave candidates from noisy data, for the purpose of assisting in real-time multi-messenger f…

gr-qc2020

Archival searches for stellar-mass binary black holes in LISA

Becca Ewing, Surabhi Sachdev, Ssohrab Borhanian +1

Stellar-mass binary black holes will sweep through the frequency band of the Laser Interferometer Space Antenna (LISA) for months to years before appearing in the audio-band of gro…

gr-qc2026

New Methods for Offline GstLAL Analyses

Prathamesh Joshi, Leo Tsukada, Chad Hanna +38

In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstL…

astro-ph.IM2021

Template bank for spinning compact binary mergers in the second observation run of Advanced LIGO and the first observation run of Advanced Virgo

Debnandini Mukherjee, Sarah Caudill, Ryan Magee +25

We describe the methods used to construct the aligned-spin template bank of gravitational waveforms used by the GstLAL-based inspiral pipeline to analyze data from the second obser…

gr-qc2022

A binary tree approach to template placement for searches for gravitational waves from compact binary mergers

Chad Hanna, James Kennington, Shio Sakon +30

We demonstrate a new geometric method for fast template placement for searches for gravitational waves from the inspiral, merger and ringdown of compact binaries. The method is bas…

gr-qc2026

Gauge Theoretic Signal Processing II: Zero-Latency Whitening for Early Warning Pipelines

James Kennington, Joshua Black, Zach Yarbrough +9

Low-latency gravitational-wave search pipelines provide early-warning alerts for multimessenger astrophysical transients. Current pipelines whiten the data stream using acausal, li…

astro-ph.IM2026

SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers

Yun-Jing Huang, Chad Hanna, Leo Tsukada +8

We present SGNL, a scalable, low-latency gravitational-wave search pipeline. It reimplements the core matched-filtering principles of the GstLAL pipeline within a modernized framew…

gr-qc2023

Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA's fourth observing run

Becca Ewing, Rachael Huxford, Divya Singh +40

GstLAL is a stream-based matched-filtering search pipeline aiming at the prompt discovery of gravitational waves from compact binary coalescences such as the mergers of black holes…

gr-qc2021

Early warning of coalescing neutron-star and neutron-star-black-hole binaries from nonstationary noise background using neural networks

Hang Yu, Rana X. Adhikari, Ryan Magee +2

The success of the multi-messenger astronomy relies on gravitational-wave observatories like LIGO and Virgo to provide prompt warning of merger events involving neutron stars (incl…

gr-qc2024

Searching for asymmetric and heavily precessing Binary Black Holes in the gravitational wave data from the LIGO and Virgo third Observing Run

Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +37

Leveraging the features of the GstLAL pipeline, we present the results of a matched filtering search for asymmetric binary black hole systems with heavily misaligned spins in LIGO…

astro-ph.HE2026

Fast targeted gravitational-wave followup search for compact binary mergers using GSTLAL pipeline

Leo Tsukada, Noah Zhang, Surabhi Sachdev +4

We present a novel method to conduct targeted gravitational-wave searches for compact binary mergers using the GstLAL inspiral pipeline. By incorporating sky localization and timin…

gr-qc2019

Sub-threshold binary neutron star search in Advanced LIGO's first observing run

Ryan Magee, Heather Fong, Sarah Caudill +12

We present a search for gravitational waves from double neutron star binaries inspirals in Advanced LIGO's first observing run. The search considers a narrow range of binary chirp…

astro-ph.IM2026

Method to get Better Sky Maps in a GstLAL Low-Latency Analysis

Prathamesh Joshi, Becca Ewing, Chad Hanna +40

Modeled gravitational wave searches correlate the strain data with a bank of gravitational wave template waveforms to make detections of gravitational wave candidates, and these re…

gr-qc2022

Towards inference of overlapping gravitational wave signals

Elia Pizzati, Surabhi Sachdev, Anuradha Gupta +1

Merger rates of binary black holes, binary neutron stars, and neutron star-black hole binaries in the local Universe (i.e., redshift ), inferred from the Laser Interferometer…

gr-qc2025

Template bank for sub solar mass compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA

Chad Hanna, James Kennington, Wanting Niu +38

Matched-filtering searches for gravitational-wave signals from compact binary mergers employ template banks which are a collection of modeled waveforms described by unique intrinsi…

astro-ph.IM2020

Improving the background estimation technique in the GstLAL inspiral pipeline with the time-reversed template bank

Chiwai Chan, Kipp Cannon, Sarah Caudill +20

Background estimation is important for determining the statistical significance of a gravitational-wave event. Currently, the background model is constructed numerically from the s…

gr-qc2022

Metric Assisted Stochastic Sampling (MASS) search for gravitational waves from binary black hole mergers

Chad Hanna, Prathamesh Joshi, Rachael Huxford +29

We present a novel gravitational wave detection algorithm that conducts a matched filter search stochastically across the compact binary parameter space rather than relying on a fi…

gr-qc2020

Incorporation of Statistical Data Quality Information into the GstLAL Search Analysis

Patrick Godwin, Reed Essick, Chad Hanna +20

We present updates to GstLAL, a matched filter gravitational-wave search pipeline, in Advanced LIGO and Virgo's third observing run. We discuss the incorporation of statistical dat…

gr-qc2024

Calibrating gravitational-wave search algorithms with conformal prediction

Gregory Ashton, Nicolo Colombo, Ian Harry +1

In astronomy, we frequently face the decision problem: does this data contain a signal? Typically, a statistical approach is used, which requires a threshold. The choice of thresho…

astro-ph.HE2024

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

gr-qc2019

The GstLAL Search Analysis Methods for Compact Binary Mergers in Advanced LIGO's Second and Advanced Virgo's First Observing Runs

Surabhi Sachdev, Sarah Caudill, Heather Fong +26

After their successful first observing run (September 12, 2015 - January 12, 2016), the Advanced LIGO detectors were upgraded to increase their sensitivity for the second observing…

astro-ph.HE2026

GW231109_235456: A Sub-threshold Binary Neutron Star Merger in the LIGO-Virgo-KAGRA O4a Observing Run?

Wanting Niu, Carl-Johan Haster, Jolien D. E. Creighton +25

We present a subthreshold search for gravitational-wave inspirals from binary neutron stars using data from the first part of the fourth observing run of the LIGO-Virgo-KAGRA Colla…

astro-ph.HE2024

Swiftly chasing gravitational waves across the sky in real-time

Aaron Tohuvavohu, Jamie A. Kennea, Christopher J. Roberts +8

We introduce a new capability of the Neil Gehrels Swift Observatory, dubbed `continuous commanding,' achieving 10 seconds latency response time on-orbit to unscheduled Target of Op…

astro-ph.IM2020

Automating the Inclusion of Subthreshold Signal-to-Noise Ratios for Rapid Gravitational-Wave Localization

Cody Messick, Surabhi Sachdev, Kipp Cannon +29

The accurate localization of gravitational-wave (GW) events in low-latency is a crucial element in the search for further multimessenger signals from these cataclysmic events. The…

astro-ph.IM2024

Method to search for inspiraling planetary-mass ultra-compact binaries using the generalized frequency-Hough transform in LIGO O3a data

Andrew L. Miller, Nancy Aggarwal, Sebastien Clesse +6

Gravitational waves from sub-solar mass primordial black holes could be detected in LIGO, Virgo and KAGRA data. Here, we apply a method originally designed to look for rapidly spin…

astro-ph.IM2026

SGN: A python framework for stream-processing pipelines

Yun-Jing Huang, Olivia Godwin, Chad Hanna +11

We present the Stream Graph Navigator (SGN), a lightweight Python framework for building streaming data applications. In SGN, stream-processing pipelines are built by connecting co…

gr-qc2019

Fast evaluation of multi-detector consistency for real-time gravitational wave searches

Chad Hanna, Sarah Caudill, Cody Messick +17

Gravitational waves searches for compact binary mergers with LIGO and Virgo are presently a two stage process. First, a gravitational wave signal is identified. Then, an exhaustive…

astro-ph.HE2020

A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model

Shasvath J. Kapadia, Sarah Caudill, Jolien D. E. Creighton +13

The recently published GWTC-1 - a journal article summarizing the search for gravitational waves (GWs) from coalescing compact binaries in data produced by the LIGO-Virgo network o…

gr-qc2023

Targeted Sub-threshold Search for Strongly-lensed Gravitational-wave Events

Alvin K. Y. Li, Rico K. L. Lo, Surabhi Sachdev +4

Strong gravitational lensing of gravitational waves can produce duplicate signals separated in time with different amplitudes. We consider the case in which strong lensing produces…

astro-ph.IM2017

Analysis Framework for the Prompt Discovery of Compact Binary Mergers in Gravitational-wave Data

Cody Messick, Kent Blackburn, Patrick Brady +24

We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star-black-hole binaries within…

astro-ph.IM2023

Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences

Leo Tsukada, Prathamesh Joshi, Shomik Adhicary +37

Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded dete…

gr-qc2023

Template bank for compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA

Shio Sakon, Leo Tsukada, Heather Fong +34

Matched-filtering gravitational wave search pipelines identify gravitational wave signals by computing correlations, i.e., signal-to-noise ratios, between gravitational wave detect…

gr-qc2024

Searching for gravitational-wave signals from precessing black hole binaries with the GstLAL pipeline

Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +36

Precession in Binary Black Holes (BBH) is caused by the failure of the Black Hole spins to be aligned and its study can open up new perspectives in gravitational waves (GW) astrono…

gr-qc2021

The Science Case for LIGO-India

M. Saleem, Javed Rana, V. Gayathri +12

The global network of gravitational-wave detectors has completed three observing runs with detections of merging compact binaries. A third LIGO detector, with comparable…

astro-ph.HE2021

First demonstration of early warning gravitational wave alerts

Ryan Magee, Deep Chatterjee, Leo P. Singer +33

Gravitational-wave observations became commonplace in Advanced LIGO-Virgo's recently concluded third observing run. 56 non-retracted candidates were identified and publicly announc…

astro-ph.IM2020

GstLAL: A software framework for gravitational wave discovery

Kipp Cannon, Sarah Caudill, Chiwai Chan +28

The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although GstLAL was primarily des…

gr-qc2026

How Many Times Should We Matched Filter Gravitational Wave Data? A Comparison of GstLAL's Online and Offline Performance

Prathamesh Joshi, Wanting Niu, Chad Hanna +34

Searches for gravitational waves from compact binary coalescences employ a process called matched filtering, in which gravitational wave strain data is cross-correlated against a b…

gr-qc2024

Gravitational wave constraints on planetary-mass primordial black holes using LIGO O3a data

Andrew L. Miller, Nancy Aggarwal, Sébastien Clesse +6

Gravitational waves from sub-solar mass inspiraling compact objects would provide almost smoking-gun evidence for primordial black holes (PBHs). We perform the first search for ins…

astro-ph.IM2019

Ranking Candidate Signals with Machine Learning in Low-Latency Search for Gravitational-Waves from Compact Binary Mergers

Kyungmin Kim, Tjonnie G. F. Li, Rico K. L. Lo +2

In the multi-messenger astronomy era, accurate sky localization and low latency time of gravitational-wave (GW) searches are keys in triggering successful follow-up observations on…

gr-qc2026

GstLAL O4 Online Results Paper

Shomik Adhicary, Pratyusava Baral, Amanda Baylor +39

Gravitational-wave observations of merging binary neutron stars and black holes are now routinely made by detectors in the Advanced LIGO-Virgo-KAGRA network. Neutron star binary sy…

astro-ph.HE2020

An early warning system for electromagnetic follow-up of gravitational-wave events

Surabhi Sachdev, Ryan Magee, Chad Hanna +28

Binary neutron stars (BNSs) will spend -- 15 minutes in the band of Advanced LIGO and Virgo detectors at design sensitivity. Matched-filtering of gravitational-wave (GW…

gr-qc2020

Subtracting compact binary foreground sources to reveal primordial gravitational-wave backgrounds

Surabhi Sachdev, Tania Regimbau, B. S. Sathyaprakash

Detection of primordial gravitational-wave backgrounds generated during the early universe phase transitions is a key science goal for future ground-based detectors. The rate of co…

gr-qc2023

Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network

Soichiro Morisaki, Rory Smith, Leo Tsukada +4

We present a rapid parameter estimation framework for compact binary coalescence (CBC) signals observed by the LIGO-Virgo-KAGRA (LVK) detector network. The goal of our framework is…