def main(inf, outf, config): with open(inf, "r", newline="") as f: times, fluxs = utils.csv_column_read(f, FIELDS, casts=CASTS, start=config.start, end=config.end) fx, fy = utils.lombscargle_amplitude(times, fluxs, mult=config.mult, upper=config.upper) # Output the FFT. utils.csv_column_write(outf, [fx, fy], ["frequency", "amplitude"])
def plot_lc(config, fig, ifile):
# Get the cadence information.
with open(ifile, "r", newline="") as f:
times, fluxs = utils.csv_column_read(f, FIELDS, casts=CASTS, start=config.start, end=config.end)
# Times and fluxes.
xs = times
ys = fluxs
# Convert flux to ppm.
#ys = ys / ys.mean() - 1
#ys *= 1e6
# Figure out time-related offsets.
offset = np.min(times)
xs -= offset
if config.timestamp is not None:
config.timestamp -= offset
if config.fft:
fx, fy = utils.lombscargle_amplitude(xs, ys, upper=config.high_freq)
if config.fftout:
with open(config.fftout, "w", newline="") as f:
utils.csv_column_write(f, [fx, fy], ["frequency", "amplitude"])
fx, fy = utils.raw_to_psd(fx, fy, fluxs.var())
if config.lc:
if config.period is not None:
# TODO: We should allow for showing more than one phase.
xs = (xs % config.period) / config.period
xs = (xs + config.phase) % 1.0
# Bin the folded phase plot by taking the average of ranges.
if config.bins is not None:
size = 1.0 / config.bins
nys = np.zeros(config.bins)
for i in range(config.bins):
rnge = (i*size <= xs) & (xs < (i+1)*size)
nys[i] = np.median(ys[rnge])
ys = nys
xs = np.arange(config.bins) * size
# Replication.
xs = np.tile(xs, config.width) + np.repeat(np.arange(config.width), xs.shape[0])
ys = np.tile(ys, config.width)
if config.fft and config.lc:
ax1 = utils.latexify(fig.add_subplot(211))
else:
ax1 = utils.latexify(fig.add_subplot(111))
if config.lc:
if not (config.period or config.bins):
ax1.plot(xs, ys, color="0.5", linestyle="-", marker="None")
#ax1.plot(xs, ys, color="k", linestyle="None", marker="+", label=r"Kepler/K2 Halo Photometry")
ax1.set_xlabel("Time ($d$)")
else:
# TODO: We should overlay a binned version.
if config.timestamp is not None:
predicted = (config.timestamp % config.period) / config.period
predicted = (predicted + config.phase) % 1.0
ax1.xaxis.set_ticks(predicted + np.arange(config.width), minor=True)
ax1.xaxis.grid(True, which="minor", color="r", linestyle="--", linewidth=2)
ax1.plot(xs, ys, color="0.5", linestyle="None", marker="o", label=r"Kepler/K2 Halo Photometry")
ax1.set_xlabel("Phase")
ax1.set_ylabel(r"Intensity (ppm)")
if config.lc and config.title:
ax1.set_title(r"Light Curve [%s] # %s" % (description(config), config.comment or ""))
if config.fft:
if config.lc:
ax2 = utils.latexify(fig.add_subplot(212))
else:
ax2 = ax1
ax2.plot(fx, fy, color="k", linestyle="-", marker="None")
#ax2.xaxis.set_ticks(np.arange(*ax2.get_xlim(), step=1))
#ax2.xaxis.set_ticks(np.arange(*ax2.get_xlim(), step=0.25), minor=True)
#ax2.xaxis.grid(True, which="major", color="k", linestyle="--")
#ax2.xaxis.grid(True, which="minor", color="k", linestyle=":")
ax2.set_axisbelow(True)
#ax2.set_xlabel("Frequency ($d^{-1}$)")
ax2.set_xlabel("Frequency ($\mu$Hz)")
#ax2.set_ylabel("Amplitude (ppm)")
ax2.set_ylabel("PDF (ppm$^2$ $\mu$Hz$^{-1}$)")
if config.maxx > config.minx:
ax2.set_xlim([config.minx, config.maxx])
if config.maxy > config.miny:
ax2.set_ylim([config.miny, config.maxy])
plt.legend()
fig.tight_layout()