{"task": {"agent_timeout": 3600, "task": "gw_nsbh__spin_constraint", "verifier_timeout": 1800, "instruction": "# spin_constraint\n\n## Description\n\nconstraints on spin-M_TOV relation\n\n## Instructions\n\nUsing the mock data setup described in the paper and default settings otherwise, simulate a measurement of A_1, the linear dependence between spin and maximum mass.\n Using a ground truth value of A_1 = 0.2, measure the 1-sigma (68%, symmetric about the median) credible interval on A_1 given 50 NSBH events and 150 NSBH events, and report the one-sided error on the gap width.\n Return the result as an array in the format [error_on_50_events, error_on_150_events].\n\n## Additional Instructions\n\nUnless otherwise specified, all posteriors should be computed using MCMC sampling and all quantities should be in source frame.\nAll confidence intervals (i.e. 1-sigma) should be computed as credible intervals, using quantiles of the posterior distribution.\n\n## Dataset Information\n\n**Datasets are available in `/assets` directory.**\n\n## Execution Requirements\n\n- Read inputs from `/assets` (downloaded datasets) and `/resources` (paper context)\n- Write exact JSON to `/app/result.json` with the schema: `{\"value\": <result>}`\n- After writing, verify with: `cat /app/result.json`\n- Do not guess values; if a value cannot be computed, set it to `null`\n\nThe value can be a number, string, list, or dictionary depending on the task requirements.\n", "memory": "", "runnable": false, "difficulty": "medium", "language": "", "cpus": "", "instruction_truncated": false, "category": "research", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "replicationbench", "tags": ["research", "reproduction", "scientific-computing", "astrophysics"]}, "runs": []}