Tibeuleu/FOC_Reduction
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more reformatting

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This commit is contained in:
Thibault Barnouin
2024-07-01 16:57:36 +02:00
parent 5397246f34
commit 6879a8b551
3 changed files with 15 additions and 15 deletions
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24
package/lib/background.py
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@@ -63,15 +63,15 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
ax.set_xlabel("Observation date and time")
ax.set_ylabel(r"Flux [$ergs \cdot cm^{-2} \cdot s^{-1} \cdot \AA^{-1}$]")
plt.legend()
if not (savename is None):
if savename is not None:
this_savename = deepcopy(savename)
if not savename[-4:] in [".png", ".jpg", ".pdf"]:
if savename[-4:] not in [".png", ".jpg", ".pdf"]:
this_savename += "_background_flux.pdf"
else:
this_savename = savename[:-4] + "_background_flux" + savename[-4:]
fig.savefig(path_join(plots_folder, this_savename), bbox_inches="tight")
if not (histograms is None):
if histograms is not None:
filt_obs = {"POL0": 0, "POL60": 0, "POL120": 0}
fig_h, ax_h = plt.subplots(figsize=(10, 6), constrained_layout=True)
for i, (hist, bins) in enumerate(zip(histograms, binning)):
@@ -85,7 +85,7 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
label=headers[i]["filtnam1"] + " (Obs " + str(filt_obs[headers[i]["filtnam1"]]) + ")",
)
ax_h.plot([background[i] * convert_flux[i], background[i] * convert_flux[i]], [hist.min(), hist.max()], "x--", color="C{0:d}".format(i), alpha=0.8)
if not (coeff is None):
if coeff is not None:
# ax_h.plot(bins*convert_flux[i], gausspol(bins, *coeff[i]), '--', color="C{0:d}".format(i), alpha=0.8)
ax_h.plot(bins * convert_flux[i], gauss(bins, *coeff[i]), "--", color="C{0:d}".format(i), alpha=0.8)
ax_h.set_xscale("log")
@@ -95,9 +95,9 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
ax_h.set_ylabel(r"Number of pixels in bin")
ax_h.set_title("Histogram for each observation")
plt.legend()
if not (savename is None):
if savename is not None:
this_savename = deepcopy(savename)
if not savename[-4:] in [".png", ".jpg", ".pdf"]:
if savename[-4:] not in [".png", ".jpg", ".pdf"]:
this_savename += "_histograms.pdf"
else:
this_savename = savename[:-4] + "_histograms" + savename[-4:]
@@ -113,7 +113,7 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
# plots
im2 = ax2.imshow(data0, norm=LogNorm(data0[data0 > 0.0].mean() / 10.0, data0.max()), origin="lower", cmap="gray")
ax2.imshow(bkg_data0, origin="lower", cmap="Reds", alpha=0.5)
if not (rectangle is None):
if rectangle is not None:
x, y, width, height, angle, color = rectangle[0]
ax2.add_patch(Rectangle((x, y), width, height, edgecolor=color, fill=False, lw=2))
ax2.annotate(
@@ -128,14 +128,14 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
fig2.subplots_adjust(hspace=0, wspace=0, right=1.0)
fig2.colorbar(im2, ax=ax2, location="right", aspect=50, pad=0.025, label=r"Flux [$ergs \cdot cm^{-2} \cdot s^{-1} \cdot \AA^{-1}$]")
if not (savename is None):
if savename is not None:
this_savename = deepcopy(savename)
if not savename[-4:] in [".png", ".jpg", ".pdf"]:
if savename[-4:] not in [".png", ".jpg", ".pdf"]:
this_savename += "_" + filt + "_background_location.pdf"
else:
this_savename = savename[:-4] + "_" + filt + "_background_location" + savename[-4:]
fig2.savefig(path_join(plots_folder, this_savename), bbox_inches="tight")
if not (rectangle is None):
if rectangle is not None:
plot_obs(
data,
headers,
@@ -145,7 +145,7 @@ def display_bkg(data, background, std_bkg, headers, histograms=None, binning=Non
savename=savename + "_background_location",
plots_folder=plots_folder,
)
elif not (rectangle is None):
elif rectangle is not None:
plot_obs(data, headers, vmin=data[data > 0.0].min(), vmax=data[data > 0.0].max(), rectangle=rectangle)
plt.show()
@@ -325,7 +325,7 @@ def bkg_hist(data, error, mask, headers, sub_type=None, subtract_error=True, dis
for i, image in enumerate(data):
# Compute the Count-rate histogram for the image
n_mask = np.logical_and(mask, image > 0.0)
if not (sub_type is None):
if sub_type is not None:
if isinstance(sub_type, int):
n_bins = sub_type
elif sub_type.lower() in ["sqrt"]: