Tibeuleu/FOC_Reduction
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when spectra intersect use the bin mean instead of sum

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Tibeuleu
2026-06-09 13:00:44 +02:00
parent 03f2c550e3
commit 4f0351f535
1 changed files with 47 additions and 27 deletions
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74
package/src/readfos.py
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@@ -418,16 +418,26 @@ class specpol(object):
""" """
if (self.bin_edges.shape == other.bin_edges.shape) and np.all(self.bin_edges == other.bin_edges): if (self.bin_edges.shape == other.bin_edges.shape) and np.all(self.bin_edges == other.bin_edges):
bin_edges = deepcopy(self.bin_edges) bin_edges = deepcopy(self.bin_edges)
intersect = np.zeros(bin_edges.shape[0] - 1).astype(bool)
else: else:
# If different binning, concatenate binnings # If different binning, concatenate binnings
if self.bin_edges[0] <= other.bin_edges[0]: if self.bin_edges[0] <= other.bin_edges[0]:
bin_edges = deepcopy(self.bin_edges) bin_edges = deepcopy(self.bin_edges)
else: else:
bin_edges = deepcopy(other.bin_edges) bin_edges = deepcopy(other.bin_edges)
intersect = np.zeros(bin_edges.shape[0] - 1).astype(bool)
if other.bin_edges[-1] > bin_edges[-1]: if other.bin_edges[-1] > bin_edges[-1]:
bin_edges = np.concat((bin_edges, deepcopy(other.bin_edges[other.bin_edges > bin_edges[-1]])), axis=0) bin_edges = np.concat((bin_edges, deepcopy(other.bin_edges[other.bin_edges > bin_edges[-1]])), axis=0)
intersect = np.logical_and(
0.5 * (bin_edges[1:] + bin_edges[:-1]) > min(self.bin_edges[-1], other.bin_edges[-1]),
0.5 * (bin_edges[1:] + bin_edges[:-1]) < max(self.bin_edges[0], other.bin_edges[0]),
)
elif self.bin_edges[-1] > bin_edges[-1]: elif self.bin_edges[-1] > bin_edges[-1]:
bin_edges = np.concat((bin_edges, deepcopy(self.bin_edges[self.bin_edges > bin_edges[-1]])), axis=0) bin_edges = np.concat((bin_edges, deepcopy(self.bin_edges[self.bin_edges > bin_edges[-1]])), axis=0)
intersect = np.logical_and(
0.5 * (bin_edges[1:] + bin_edges[:-1]) > min(self.bin_edges[-1], other.bin_edges[-1]),
0.5 * (bin_edges[1:] + bin_edges[:-1]) < max(self.bin_edges[0], other.bin_edges[0]),
)
# Rebin spectra to be added to ensure same binning # Rebin spectra to be added to ensure same binning
spec_a = specpol(specpol(self).bin(bin_edges=bin_edges)) spec_a = specpol(specpol(self).bin(bin_edges=bin_edges))
spec_b = specpol(specpol(other).bin(bin_edges=bin_edges)) spec_b = specpol(specpol(other).bin(bin_edges=bin_edges))
@@ -473,10 +483,14 @@ class specpol(object):
spec.I_r_err[w] = np.sqrt(np.sum(np.concat([self.I_r_err[bin == w] ** 2 * wav**2, other.I_r_err[bino == w] ** 2 * wavo**2]))) / wavs / n spec.I_r_err[w] = np.sqrt(np.sum(np.concat([self.I_r_err[bin == w] ** 2 * wav**2, other.I_r_err[bino == w] ** 2 * wavo**2]))) / wavs / n
# Sum stokes fluxes # Sum stokes fluxes
spec.I = deepcopy(spec_a.I + spec_b.I) spec.I[np.logical_not(intersect)] = deepcopy(spec_a.I + spec_b.I)[np.logical_not(intersect)]
spec.Q = deepcopy(spec_a.Q + spec_b.Q) spec.I[intersect] = 0.5 * deepcopy(spec_a.I + spec_b.I)[intersect]
spec.U = deepcopy(spec_a.U + spec_b.U) spec.Q[np.logical_not(intersect)] = deepcopy(spec_a.Q + spec_b.Q)[np.logical_not(intersect)]
spec.V = deepcopy(spec_a.V + spec_b.V) spec.Q[intersect] = 0.5 * deepcopy(spec_a.Q + spec_b.Q)[intersect]
spec.U[np.logical_not(intersect)] = deepcopy(spec_a.U + spec_b.U)[np.logical_not(intersect)]
spec.U[intersect] = 0.5 * deepcopy(spec_a.U + spec_b.U)[intersect]
spec.V[np.logical_not(intersect)] = deepcopy(spec_a.V + spec_b.V)[np.logical_not(intersect)]
spec.V[intersect] = 0.5 * deepcopy(spec_a.V + spec_b.V)[intersect]
# Quadratically sum uncertainties # Quadratically sum uncertainties
for i in range(4): for i in range(4):
spec.IQUV_cov[i][i] = deepcopy(spec_a.IQUV_cov[i][i] + spec_b.IQUV_cov[i][i]) spec.IQUV_cov[i][i] = deepcopy(spec_a.IQUV_cov[i][i] + spec_b.IQUV_cov[i][i])
@@ -520,15 +534,16 @@ class FOSspecpol(specpol):
if isinstance(stokes, __class__): if isinstance(stokes, __class__):
# Copy constructor # Copy constructor
self.rootname = deepcopy(stokes.rootname) self.rootname = deepcopy(stokes.rootname)
self.hd = deepcopy(stokes.hd) super(__class__, self).__init__(stokes)
self.bin_edges = deepcopy(stokes.bin_edges) # self.hd = deepcopy(stokes.hd)
self.wav = deepcopy(stokes.wav) # self.bin_edges = deepcopy(stokes.bin_edges)
self.wav_err = deepcopy(stokes.wav_err) # self.wav = deepcopy(stokes.wav)
self.I = deepcopy(stokes.I) # self.wav_err = deepcopy(stokes.wav_err)
self.Q = deepcopy(stokes.Q) # self.I = deepcopy(stokes.I)
self.U = deepcopy(stokes.U) # self.Q = deepcopy(stokes.Q)
self.V = deepcopy(stokes.V) # self.U = deepcopy(stokes.U)
self.IQUV_cov = deepcopy(stokes.IQUV_cov) # self.V = deepcopy(stokes.V)
# self.IQUV_cov = deepcopy(stokes.IQUV_cov)
self.P_fos = deepcopy(stokes.P_fos) self.P_fos = deepcopy(stokes.P_fos)
self.P_fos_err = deepcopy(stokes.P_fos_err) self.P_fos_err = deepcopy(stokes.P_fos_err)
self.PC_fos = deepcopy(stokes.PC_fos) self.PC_fos = deepcopy(stokes.PC_fos)
@@ -550,18 +565,22 @@ class FOSspecpol(specpol):
Set all values to zero. Set all values to zero.
""" """
self.rootname = "" self.rootname = ""
self.hd = dict([]) # self.hd = dict([])
# self.hd["DENSITY"] = True
# self.hd["TARGNAME"] = "Undefined"
# self.hd["XUNIT"], self.hd["YUNIT"] = r"Wavelength [$\AA$]", r"{0:s}F$_\lambda$ [$10^{{{1:d}}}$ erg s$^{{-1}}$ cm$^{{-2}} \AA^{{-1}}$]"
# self.bin_edges = np.zeros((4, n + 1))
# self.wav = np.zeros((4, n))
# self.wav_err = np.zeros((4, n, 2))
# self.I = np.zeros((4, n))
# self.Q = np.zeros((4, n))
# self.U = np.zeros((4, n))
# self.V = np.zeros((4, n))
# self.IQUV_cov = np.zeros((4, 4, 4, n))
super(__class__, self).zero(n=n)
self.hd["DENSITY"] = True self.hd["DENSITY"] = True
self.hd["TARGNAME"] = "Undefined" self.hd["TARGNAME"] = "Undefined"
self.hd["XUNIT"], self.hd["YUNIT"] = r"Wavelength [$\AA$]", r"{0:s}F$_\lambda$ [$10^{{{1:d}}}$ erg s$^{{-1}}$ cm$^{{-2}} \AA^{{-1}}$]" self.hd["XUNIT"], self.hd["YUNIT"] = r"Wavelength [$\AA$]", r"{0:s}F$_\lambda$ [$10^{{{1:d}}}$ erg s$^{{-1}}$ cm$^{{-2}} \AA^{{-1}}$]"
self.bin_edges = np.zeros((4, n + 1))
self.wav = np.zeros((4, n))
self.wav_err = np.zeros((4, n, 2))
self.I = np.zeros((4, n))
self.Q = np.zeros((4, n))
self.U = np.zeros((4, n))
self.V = np.zeros((4, n))
self.IQUV_cov = np.zeros((4, 4, 4, n))
self.subspec = {} self.subspec = {}
for i, name in enumerate(["PASS1", "PASS2", "PASS12", "PASS12corr"]): for i, name in enumerate(["PASS1", "PASS2", "PASS12", "PASS12corr"]):
@@ -728,11 +747,12 @@ class FOSspecpol(specpol):
bin_edges[:-1], bin_edges[-1] = spec_a.wav - spec_a.wav_err[:, 0], spec_a.wav[-1] + spec_a.wav_err[-1:1] bin_edges[:-1], bin_edges[-1] = spec_a.wav - spec_a.wav_err[:, 0], spec_a.wav[-1] + spec_a.wav_err[-1:1]
spec_b = other.bin(bin_edges=bin_edges) spec_b = other.bin(bin_edges=bin_edges)
spec_a.I += deepcopy(spec_b.I) # spec_a.I += deepcopy(spec_b.I)
spec_a.Q += deepcopy(spec_b.Q) # spec_a.Q += deepcopy(spec_b.Q)
spec_a.U += deepcopy(spec_b.U) # spec_a.U += deepcopy(spec_b.U)
spec_a.V += deepcopy(spec_b.V) # spec_a.V += deepcopy(spec_b.V)
spec_a.IQUV_cov += deepcopy(spec_b.IQUV_cov) # spec_a.IQUV_cov += deepcopy(spec_b.IQUV_cov)
spec_a += deepcopy(spec_b)
for name in ["PASS1", "PASS2", "PASS12", "PASS12corr"]: for name in ["PASS1", "PASS2", "PASS12", "PASS12corr"]:
spec_a.subspec[name] += deepcopy(spec_b.subspec[name]) spec_a.subspec[name] += deepcopy(spec_b.subspec[name])
spec_a.subspec[name].hd["DATAMIN"], spec_a.subspec[name].hd["DATAMAX"] = spec_a.subspec[name].I.min(), spec_a.subspec[name].I.max() spec_a.subspec[name].hd["DATAMIN"], spec_a.subspec[name].hd["DATAMAX"] = spec_a.subspec[name].I.min(), spec_a.subspec[name].I.max()