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Lean: update Semantics modules, add new numerics/physics data files Hardware: update FPGA bitstreams (tangnano9k_uart_loopback) Infra: k3s-flake tests, netcup-vps configuration, VCN compute substrate Docs: ARCHITECTURE, specs, citation updates
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
#!/usr/bin/env python3
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"""
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fetch_hepdata.py — Fetch LHCb B→K*μμ angular observables from HEPData API
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Usage:
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python3 fetch_hepdata.py > lhcb_data.json
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The data comes from:
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LHCb Collaboration, JHEP 02 (2016) 104
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HEPData record: https://www.hepdata.net/record/74247
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Table 23: CP-averaged angular observables (FL, P1-P8')
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"""
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import json
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import urllib.request
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import sys
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# HEPData API endpoints
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BASE_URL = "https://www.hepdata.net"
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RECORD_ID = "74247" # LHCb B→K*μμ angular analysis
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def fetch_table(record_id, table_num):
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"""Fetch a specific table from HEPData."""
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url = f"{BASE_URL}/api/record/{record_id}/table/{table_num}"
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try:
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req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
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with urllib.request.urlopen(req, timeout=30) as response:
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return json.loads(response.read().decode())
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except Exception as e:
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print(f"Error fetching table {table_num}: {e}", file=sys.stderr)
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return None
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def main():
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"""Fetch the angular observables data."""
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print("Fetching LHCb B→K*μμ data from HEPData...", file=sys.stderr)
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# Table 23 contains the CP-averaged angular observables
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data = fetch_table(RECORD_ID, 23)
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if data:
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print(json.dumps(data, indent=2))
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else:
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# Fallback: use the data I already extracted from the papers
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print(json.dumps({
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"description": "LHCb B→K*μμ angular observables (fallback data)",
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"source": "JHEP 02 (2016) 104 + arXiv:2405.10882",
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"observables": [
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{"q2_bin": "[4.0, 6.0]", "P5pMeasured": -0.79, "P5pSM": -0.44, "sigma": 3.4}
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]
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}, indent=2))
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if __name__ == "__main__":
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main()
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