Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "206"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 206 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 253 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 247 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 206, Node N19:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459810 RF_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459809 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 3.442593 3.088383 -0.443180 10.110479 7.211777 4.366291 1.489175 0.704619 0.0506 0.0446 0.0045 1.201130 1.191907
2459808 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.265226 7.803610 -0.688526 11.384291 6.747107 11.673168 18.914516 18.722699 0.0411 0.0543 0.0020 1.271659 1.269782
2459807 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.241912 7.546428 1.502527 7.104030 3.933662 9.098966 58.419004 58.349190 0.0372 0.0513 0.0017 1.281679 1.278509
2459806 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 4.210088 6.763426 -0.364970 10.856207 6.861196 12.864683 52.186741 53.125400 0.0497 0.0439 0.0045 0.000000 0.000000
2459805 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.153302 6.866148 0.314461 9.968935 4.294789 8.729755 14.316843 13.574439 0.0369 0.0467 0.0016 1.055714 1.049246
2459804 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.798421 8.391384 -0.039865 9.263193 4.585538 9.674587 9.497625 9.130974 0.0375 0.0431 0.0017 1.328070 1.315039
2459803 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 3.690262 10.335441 -0.596750 13.055186 7.216316 10.391659 31.272382 29.245002 0.0397 0.0545 0.0017 1.140173 1.146113
2459802 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 3.316759 8.480970 -0.708248 10.674604 10.032657 13.871991 15.742243 16.554655 0.0434 0.0518 0.0024 1.121172 1.121338
2459801 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.494773 8.388022 -0.421559 9.095100 9.119576 16.254785 40.942038 43.141294 0.0417 0.0540 0.0024 0.949665 0.974868
2459800 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.467008 8.755645 -0.051180 8.477940 5.766538 9.657894 45.506167 42.718474 0.0532 0.0623 0.0037 1.376545 1.372893
2459799 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.836750 6.662880 -0.359690 10.257493 11.597969 18.014902 24.005566 24.179109 0.6850 0.6145 0.4099 4.399614 4.415781
2459798 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.958242 8.320616 -0.666467 8.998091 4.836233 7.451181 30.471492 28.915784 0.6720 0.6558 0.4084 3.831754 3.842468
2459797 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459796 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.887528 7.682748 0.059723 11.833213 4.765192 8.404664 41.552851 38.296246 0.6497 0.6407 0.3966 0.000000 0.000000
2459795 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459794 RF_ok 100.00% 0.00% 5.38% 0.00% 100.00% 0.00% 2.382250 8.014937 -0.068810 8.749335 5.323960 27.706854 58.207602 167.779389 0.6459 0.6295 0.3844 0.000000 0.000000
2459793 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.880907 8.069921 2.215057 10.905390 4.995863 13.889634 31.925802 27.679666 0.6259 0.6359 0.3856 2.982764 2.983251
2459792 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.691646 6.423616 0.546556 10.513985 10.097952 12.120002 23.291661 23.529211 0.6769 0.6138 0.4085 3.587440 3.921127
2459791 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.747208 7.817612 3.438028 12.155158 7.327304 12.623424 12.297598 9.197395 0.6149 0.6256 0.3741 4.085332 4.445243
2459790 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.166058 12.890685 2.730255 11.693203 8.566604 17.919689 29.912745 25.605432 0.5949 0.6095 0.3724 2.591773 3.071012
2459789 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.495029 11.122131 -0.424545 12.247716 8.965758 18.794996 62.368284 62.458349 0.5834 0.5883 0.3642 3.002884 3.076290
2459788 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.582475 9.428949 -0.425824 13.062041 8.539912 19.918092 28.370899 28.583715 0.5890 0.5951 0.3543 2.367255 2.495980
2459787 RF_ok 100.00% 10.75% 8.06% 0.00% 100.00% 0.00% 3.498300 8.973844 -0.636046 11.113925 5.361285 12.867358 28.620163 28.843635 0.5471 0.5498 0.3517 2.408651 2.585469
2459786 RF_ok 100.00% 8.06% 5.38% 0.00% 100.00% 0.00% 3.890203 9.491182 0.366426 12.836832 10.661760 19.507159 43.255454 43.162365 0.5485 0.5588 0.3368 2.131514 2.345593
2459785 RF_ok 100.00% 2.15% 0.54% 0.00% 100.00% 0.00% 3.053244 5.187076 2.147883 18.001831 12.075161 13.953173 16.067075 16.032865 0.6830 0.6203 0.3985 4.346158 4.600352
2459784 RF_ok 100.00% 16.13% 5.38% 0.00% 100.00% 0.00% 3.919652 8.281983 2.212842 15.088817 11.467487 19.752873 8.038026 8.320637 0.5204 0.5371 0.3138 9.362386 12.666570
2459783 RF_ok 100.00% 13.48% 0.00% 0.00% 100.00% 0.00% 3.889222 13.766613 0.273531 7.656877 4.651249 16.006133 26.447041 23.882894 0.5053 0.5238 0.3074 2.150512 2.351372
2459782 RF_ok 100.00% 26.88% 8.06% 0.00% 100.00% 0.00% 4.063028 12.506263 0.131376 3.719643 3.168293 8.946099 18.555234 17.090021 0.4791 0.5032 0.2945 2.923587 3.157756
2459781 RF_ok 0.00% 10.43% 9.13% 0.00% 100.00% 0.00% -0.000864 1.571030 0.175106 0.531244 -0.698860 -1.578728 -0.071505 -1.621939 0.6518 0.6314 0.3523 2.824054 3.025223
2459778 RF_ok 100.00% 8.06% 0.00% 0.00% 100.00% 0.00% 2.467234 8.187259 -0.057536 5.797038 4.187600 14.313287 36.540679 34.193648 0.6490 0.5933 0.3951 2.914809 3.168783
2459776 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.254614 6.603379 -0.512258 6.990708 12.622675 20.827367 20.652030 17.520064 0.6701 0.6251 0.4211 3.125689 3.492019
2459774 RF_ok - 3.12% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.6560 0.6106 0.3948 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 206: 2459810

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Shape nan nan nan nan nan nan nan nan nan

Antenna 206: 2459809

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Power 10.110479 3.088383 3.442593 10.110479 -0.443180 4.366291 7.211777 0.704619 1.489175

Antenna 206: 2459808

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 18.914516 7.803610 2.265226 11.384291 -0.688526 11.673168 6.747107 18.722699 18.914516

Antenna 206: 2459807

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 58.419004 7.546428 2.241912 7.104030 1.502527 9.098966 3.933662 58.349190 58.419004

Antenna 206: 2459806

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 53.125400 4.210088 6.763426 -0.364970 10.856207 6.861196 12.864683 52.186741 53.125400

Antenna 206: 2459805

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 14.316843 2.153302 6.866148 0.314461 9.968935 4.294789 8.729755 14.316843 13.574439

Antenna 206: 2459804

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Variability 9.674587 8.391384 2.798421 9.263193 -0.039865 9.674587 4.585538 9.130974 9.497625

Antenna 206: 2459803

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 31.272382 3.690262 10.335441 -0.596750 13.055186 7.216316 10.391659 31.272382 29.245002

Antenna 206: 2459802

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 16.554655 8.480970 3.316759 10.674604 -0.708248 13.871991 10.032657 16.554655 15.742243

Antenna 206: 2459801

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 43.141294 8.388022 2.494773 9.095100 -0.421559 16.254785 9.119576 43.141294 40.942038

Antenna 206: 2459800

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 45.506167 8.755645 2.467008 8.477940 -0.051180 9.657894 5.766538 42.718474 45.506167

Antenna 206: 2459799

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 24.179109 6.662880 3.836750 10.257493 -0.359690 18.014902 11.597969 24.179109 24.005566

Antenna 206: 2459798

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 30.471492 2.958242 8.320616 -0.666467 8.998091 4.836233 7.451181 30.471492 28.915784

Antenna 206: 2459797

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 206: 2459796

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 41.552851 2.887528 7.682748 0.059723 11.833213 4.765192 8.404664 41.552851 38.296246

Antenna 206: 2459795

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 206: 2459794

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 167.779389 2.382250 8.014937 -0.068810 8.749335 5.323960 27.706854 58.207602 167.779389

Antenna 206: 2459793

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 31.925802 1.880907 8.069921 2.215057 10.905390 4.995863 13.889634 31.925802 27.679666

Antenna 206: 2459792

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 23.529211 3.691646 6.423616 0.546556 10.513985 10.097952 12.120002 23.291661 23.529211

Antenna 206: 2459791

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Variability 12.623424 2.747208 7.817612 3.438028 12.155158 7.327304 12.623424 12.297598 9.197395

Antenna 206: 2459790

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 29.912745 12.890685 5.166058 11.693203 2.730255 17.919689 8.566604 25.605432 29.912745

Antenna 206: 2459789

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 62.458349 11.122131 4.495029 12.247716 -0.424545 18.794996 8.965758 62.458349 62.368284

Antenna 206: 2459788

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 28.583715 9.428949 3.582475 13.062041 -0.425824 19.918092 8.539912 28.583715 28.370899

Antenna 206: 2459787

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 28.843635 3.498300 8.973844 -0.636046 11.113925 5.361285 12.867358 28.620163 28.843635

Antenna 206: 2459786

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 43.255454 9.491182 3.890203 12.836832 0.366426 19.507159 10.661760 43.162365 43.255454

Antenna 206: 2459785

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Power 18.001831 5.187076 3.053244 18.001831 2.147883 13.953173 12.075161 16.032865 16.067075

Antenna 206: 2459784

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Variability 19.752873 3.919652 8.281983 2.212842 15.088817 11.467487 19.752873 8.038026 8.320637

Antenna 206: 2459783

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 26.447041 13.766613 3.889222 7.656877 0.273531 16.006133 4.651249 23.882894 26.447041

Antenna 206: 2459782

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 18.555234 12.506263 4.063028 3.719643 0.131376 8.946099 3.168293 17.090021 18.555234

Antenna 206: 2459781

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 1.571030 -0.000864 1.571030 0.175106 0.531244 -0.698860 -1.578728 -0.071505 -1.621939

Antenna 206: 2459778

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Discontinuties 36.540679 8.187259 2.467234 5.797038 -0.057536 14.313287 4.187600 34.193648 36.540679

Antenna 206: 2459776

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Variability 20.827367 7.254614 6.603379 -0.512258 6.990708 12.622675 20.827367 20.652030 17.520064
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