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Interpolated spectrum

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This commit is contained in:
Edgar P. Burkhart 2022-04-07 11:08:11 +02:00
parent a59bcccde7
commit ae5ae08804
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227
2 changed files with 13 additions and 3 deletions
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1
data/config.ini
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@ -8,6 +8,7 @@ psize=Psize.dat
raw_ts=cerema/raw/201702281700.raw,cerema/raw/201702281730.raw raw_ts=cerema/raw/201702281700.raw,cerema/raw/201702281730.raw
raw_spec=cerema/spt/201702281715.spt raw_spec=cerema/spt/201702281715.spt
hires_step=0.5 hires_step=0.5
cycle=14400
[out] [out]
margin=0.005 margin=0.005

15
data/processing/spec.py
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@ -5,6 +5,7 @@ import pathlib
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import numpy as np import numpy as np
from scipy.interpolate import griddata
parser = argparse.ArgumentParser(description="Pre-process time-series") parser = argparse.ArgumentParser(description="Pre-process time-series")
parser.add_argument("-v", "--verbose", action="count", default=0) parser.add_argument("-v", "--verbose", action="count", default=0)
@ -39,16 +40,24 @@ inp = np.loadtxt(
max_rows=64, max_rows=64,
) )
cycle = config.getfloat("inp", "cycle", fallback=None)
if cycle is None:
f = inp["f"]
S = inp["S"] * Sm
else:
f = np.arange(inp["f"].min(), inp["f"].max() + 1/cycle, 1/cycle)
S = griddata(inp["f"], inp["S"] * Sm, f)
with out_spec.open("w") as out: with out_spec.open("w") as out:
out.write("SPEC1D\n") out.write("SPEC1D\n")
np.savetxt(out, np.stack((inp["f"], inp["S"] * Sm), axis=1)) np.savetxt(out, np.stack((f, S), axis=1))
df = np.diff(inp['f']).min() df = np.diff(f).min()
log.info(f"Minimum frequency delta: {df:.4f}Hz") log.info(f"Minimum frequency delta: {df:.4f}Hz")
log.info(f"Maximum modelled time: {1/df:.0f}s") log.info(f"Maximum modelled time: {1/df:.0f}s")
fig, ax = plt.subplots() fig, ax = plt.subplots()
ax.plot(inp["f"], inp["S"]*Sm, c="k", lw=1) ax.plot(f, S, c="k", lw=1)
ax.autoscale(True, "x", tight=True) ax.autoscale(True, "x", tight=True)
ax.grid() ax.grid()
ax.set(xlim=0, ylim=0, xlabel="f (Hz)", ylabel="S (m^2/Hz)") ax.set(xlim=0, ylim=0, xlabel="f (Hz)", ylabel="S (m^2/Hz)")