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Pull Request to Update the Errorbars for Summary Plots #39

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Pull Request to Update the Errorbars for Summary Plots #39

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93822a1
update
ldsantos0911 Oct 21, 2023
904b77c
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ldsantos0911 Oct 21, 2023
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45 changes: 35 additions & 10 deletions wirc_drp/dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1413,7 +1413,7 @@ def plot_dataset_variability_summary(directory,BD_all_spec_cube = None, hwp_ang
def plot_dataset_broadband_summary(directory,save=False,png_filename=None,prefix="image",verbose=True,
max_files=None,ylow=-0.025,yhigh=0.025,start_file =0, time_bin_factor=1,
known_period=None,target_name="Unknown",calibrate=False, recalc_lambda=True,
save_data = True):
save_data = True, std_errorbar=True):

#### Load up the files ####
filelist = sorted(glob.glob(directory+"/"+prefix+"*.fits"))
Expand Down Expand Up @@ -1555,6 +1555,14 @@ def plot_dataset_broadband_summary(directory,save=False,png_filename=None,prefix
axn1.errorbar(dt_qu,u_bb[:,0],yerr=uerr_bb[:,0],label="u",marker='o',linestyle="")
axn1.axhline(0,color='r',linestyle='-.')

if std_errorbar:

new_qerr_bb = np.ones(len(dt_qu))*np.std(q_bb)
new_uerr_bb = np.ones(len(dt_qu))*np.std(u_bb)

axn1.errorbar(dt_qu,q_bb[:,0],yerr=new_qerr_bb,marker='.',linestyle="", c='purple', zorder=0)
axn1.errorbar(dt_qu,u_bb[:,0],yerr=new_uerr_bb,marker='.',linestyle="", c='red', zorder=0)

# bb_ylow = np.percentile(np.append(q_bb[:,0],u_bb[:,0]),[5,99])

# axes[1,0].set_ylim(2*bb_ylow[0],2*bb_ylow[1])
Expand Down Expand Up @@ -1670,7 +1678,7 @@ def plot_dataset_broadband_summary(directory,save=False,png_filename=None,prefix

def plot_dataset_broadband_binning_summary(directory,save=False,png_filename=None,prefix="image",verbose=True,time_bins = [1,2,4,8, 16, 32],
max_files=None,ylow=-0.025,yhigh=0.025,start_file =0, time_bin_factor=1,extraction_range_index=2,
known_period=None,target_name="Unknown",calibrate=False, recalc_lambda=False, save_data = True):
known_period=None,target_name="Unknown",calibrate=False, recalc_lambda=False, save_data = True, std_errorbar=True):

'''
Copied from plot_dataset_broadband_summary, but the rows will plot different time binnings of the data
Expand Down Expand Up @@ -1830,14 +1838,30 @@ def plot_dataset_broadband_binning_summary(directory,save=False,png_filename=Non
uerr_bb[ind] = uc_err


if len(q_bb.shape) > 1:
axn1.errorbar(dt_qu,q_bb[:,0],yerr=qerr_bb[:],label="q",marker='o',linestyle="")
axn1.errorbar(dt_qu,u_bb[:,0],yerr=uerr_bb[:],label="u",marker='o',linestyle="")
axn2.errorbar(q_bb[:,0],u_bb[:,0],xerr=qerr_bb[:],yerr=uerr_bb,linestyle="",marker='o')
else:
axn1.errorbar(dt_qu,q_bb[:],yerr=qerr_bb[:],label="q",marker='o',linestyle="")
axn1.errorbar(dt_qu,u_bb[:],yerr=uerr_bb[:],label="u",marker='o',linestyle="")
axn2.errorbar(q_bb[:],u_bb[:],xerr=qerr_bb[:],yerr=uerr_bb,linestyle="",marker='o')
dt_qu = np.ndarray.flatten(dt_qu)
q_bb, qerr_bb = np.ndarray.flatten(q_bb), np.ndarray.flatten(qerr_bb)
u_bb, uerr_bb = np.ndarray.flatten(u_bb), np.ndarray.flatten(uerr_bb)

axn1.errorbar(dt_qu,q_bb,yerr=qerr_bb,label="q",marker='.',linestyle="")
axn1.errorbar(dt_qu,u_bb,yerr=uerr_bb,label="u",marker='.',linestyle="")
axn2.errorbar(q_bb,u_bb,xerr=qerr_bb,yerr=uerr_bb,linestyle="",marker='.')

if std_errorbar:
if time_bins[i] == 1:
first_qerr_bb = np.std(q_bb)
first_uerr_bb = np.std(u_bb)

new_qerr_bb = np.ones(len(dt_qu))*first_qerr_bb/np.sqrt(time_bins[i])
new_uerr_bb = np.ones(len(dt_qu))*first_uerr_bb/np.sqrt(time_bins[i])

axn1.errorbar(dt_qu,q_bb,yerr=new_qerr_bb,marker='.',linestyle="", c='purple', zorder=0)
axn1.errorbar(dt_qu,u_bb,yerr=new_uerr_bb,marker='.',linestyle="", c='red', zorder=0)

axn1.axhline(np.median(q_bb),linestyle="--",color='purple',alpha=0.6)
axn1.axhline(np.median(u_bb),linestyle="--",color='red',alpha=0.6)

axn2.errorbar(q_bb,u_bb,xerr=new_qerr_bb,yerr=new_uerr_bb,linestyle="",marker='.', c='black', zorder=0)

# bb_ylow = np.percentile(np.append(q_bb[:,0],u_bb[:,0]),[5,99])

# axes[1,0].set_ylim(2*bb_ylow[0],2*bb_ylow[1])
Expand Down Expand Up @@ -2548,6 +2572,7 @@ def plot_dataset_polarization_summary(directory,BD_all_spec_cube = None, hwp_ang

# axes[0,0].set_ylim(3*qymax[0],3*qymax[1])


if band =="J":
axes[0,0].fill_between([0,1.17],3*qymax[0],3*qymax[1],hatch='x',color='k',alpha=0.05,zorder=10)
axes[0,1].fill_between([0,1.17],3*uymax[0],3*uymax[1],hatch='x',color='k',alpha=0.05,zorder=10)
Expand Down