Method-Aware QC

An EMMethod names the survey method, but on its own it changes no threshold. The pycsamt.iot.methods module carries the canonical, per-method knowledge that turns a method name into concrete QC defaults, so the same monitor behaves correctly for AMT, MT, CSAMT, CSEM, and TDEM/TEM without hand-tuning.

Method profiles

A MethodProfile records the typical acquisition band, the channels a valid record must carry, a nominal sample rate, and whether the method uses a controlled source or is sensitive to powerline noise:

from pycsamt.iot import method_profile

p = method_profile("csamt")
p.frequency_band_hz      # (0.125, 8192.0)
p.required_channels      # ('ex', 'ey', 'hx', 'hy')
p.controlled_source      # True
p.powerline_sensitive    # True

Method	Band (Hz)	Required channels	Source	Powerline
AMT	1 – 10 000	ex, ey, hx, hy	natural	sensitive
MT	1e-4 – 1000	ex, ey, hx, hy, hz	natural	sensitive
CSAMT	0.125 – 8192	ex, ey, hx, hy	controlled	sensitive
CSEM	0.01 – 100	ex, ey, hx, hy	controlled	sensitive
TDEM / TEM	(time-domain)	hz	controlled	not sensitive

The band edges are representative defaults, not hard standards; override them per survey when acquisition parameters differ.

Seeding a monitor

for_method() seeds the expected band and required channels from a profile, so the method-mismatch, missing-channel, and out-of-band checks in TelemetryMonitor become method-aware with no manual tuning. Keyword overrides win over the profile defaults:

from pycsamt.iot import MonitoringConfig, assess_telemetry

cfg = MonitoringConfig.for_method("csamt", min_battery_v=11.5)
status = assess_telemetry(packets, config=cfg)
# an MT packet, or one missing hx/hy, now raises method_mismatch /
# required_channels_missing against the CSAMT expectations.

Method-aware edge QC

Passing method to amt_edge_report() gates the diagnostics by method. Powerline-harmonic detection runs only for powerline-sensitive methods – it is skipped for TDEM/TEM, where the report carries powerline_applicable=False instead of a misleading “clean” verdict – and frequency coverage is scored against the method’s target bands:

from pycsamt.iot import amt_edge_report, target_bands_for_method

report = amt_edge_report(window, sample_rate, method="amt")
report["powerline_applicable"]                     # True for AMT
report["frequency_coverage"]["coverage_fraction"]  # scored vs AMT bands

target_bands_for_method("csamt")
# [(0.125, 1.0), (1.0, 10.0), (10.0, 100.0), (100.0, 1000.0), (1000.0, 8192.0)]

Passing no method preserves the original, method-agnostic behaviour.