Gravitational-Wave Computing Software and Pipelines Workshop 2026
The HSF–India and IUCAA Joint 5-Day Computing Workshop aims to train Indian early-career researchers in the computational pipelines and software frameworks used in modern gravitational-wave data analysis. The workshop is primarily designed for PhD students, postdoctoral researchers, and faculty members, with a limited number of master’s students interested in gravitational-wave astronomy, computational astrophysics, and large-scale scientific computing.
This workshop represents an important step in the human resource development efforts associated with LIGO-India. It builds on earlier national training initiatives, including the LIGO-India Computing Workshop held in September 2024 and the Instrumentation and Data Characterisation Workshops conducted at IUCAA in December 2025. By focusing on hands-on training in widely used analysis pipelines, the workshop seeks to strengthen India's research capacity in preparation for the upcoming LIGO-India detector and the broader international network of gravitational-wave observatories.
The workshop is designed to:
- Provide hands-on training in production-level gravitational-wave data analysis pipelines.
- Introduce participants to high-performance computing (HPC) and high-throughput computing (HTC) environments used in large-scale analyses.
- Develop computational skills required to contribute to LIGO–Virgo–KAGRA scientific analyses.
- Familiarise participants with modern Bayesian inference methods and search techniques.
Participants will work through guided tutorials, practical exercises, and example workflows that mirror real analysis pipelines used in current gravitational-wave research. The workshop will cover several key pipelines and analysis frameworks used in gravitational-wave astronomy, including:
- Compact Binary Coalescence Searches: Detection of signals from merging binary black holes and neutron stars using the PyCBC search pipeline.
- Parameter Estimation of Gravitational-Wave Transients and population inference: Methods to infer astrophysical properties of gravitational-wave sources from detected signals. Bayesian Inference of parameter and hyperparameter estimation of gravitational-wave sources using the Bilby framework, including population inference techniques.
- Burst Searches: Search and reconstruction techniques for unmodeled or weakly modelled transient gravitational-wave signals using Coherent Wave Burst (cWB)
- Stochastic Gravitational-Wave Background Searches: Methods to detect the stochastic gravitational-wave background produced by unresolved astrophysical or cosmological sources.
IMPORTANT: Information about accommodation and logistics at IUCAA for participants and resource persons is available here: Information Sheet
