Tibeuleu/FOC_Reduction
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fix depreciation warning matplotlib

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Thibault Barnouin
2024-11-26 16:58:37 +01:00
parent 3f97202a03
commit 83e58d6a26
2 changed files with 64 additions and 53 deletions
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12
package/FOC_reduction.py
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@@ -40,9 +40,9 @@ def main(target=None, proposal_id=None, infiles=None, output_dir="./data", crop=
display_crop = False
# Background estimation
error_sub_type = "freedman-diaconis" # sqrt, sturges, rice, scott, freedman-diaconis (default) or shape (example (51, 51))
subtract_error = 1.0
display_bkg = False
error_sub_type = "scott" # sqrt, sturges, rice, scott, freedman-diaconis (default) or shape (example (51, 51))
subtract_error = 2.0
display_bkg = True
# Data binning
pxsize = 0.05
@@ -66,10 +66,10 @@ def main(target=None, proposal_id=None, infiles=None, output_dir="./data", crop=
rotate_North = True
# Polarization map output
P_cut = 0.999 # if >=1.0 cut on the signal-to-noise else cut on the confidence level in Q, U
SNRi_cut = 3.0 # I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
P_cut = 5 # if >=1.0 cut on the signal-to-noise else cut on the confidence level in Q, U
SNRi_cut = 5.0 # I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
flux_lim = None # lowest and highest flux displayed on plot, defaults to bkg and maximum in cut if None
scale_vec = 2
scale_vec = 3
step_vec = 1 # plot all vectors in the array. if step_vec = 2, then every other vector will be plotted if step_vec = 0 then all vectors are displayed at full length
# Pipeline start