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 = "153"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 153 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 101 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 99 auto_metrics notebooks in /home/obs/src/H6C_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/H6C_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/H6C_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 153, Node N16:

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)
2459918 digital_ok 100.00% 100.00% 0.00% 0.00% - - 12.142518 -0.232528 3.570483 -0.463800 6.947695 2.536927 2.336921 0.435422 0.0420 0.6432 0.5741 nan nan
2459917 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.294691 -0.397787 3.463952 -0.584393 4.913369 4.441557 1.070691 1.713259 0.0398 0.6799 0.6141 nan nan
2459916 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.608829 -0.242604 3.782041 -0.969444 7.352766 2.347918 1.514427 0.814894 0.0443 0.6443 0.5709 nan nan
2459915 digital_ok 100.00% 100.00% 0.00% 0.00% - - 11.194179 -0.190830 4.338070 -0.329301 7.888672 2.193116 3.666015 0.792884 0.0537 0.6802 0.5994 nan nan
2459914 digital_ok 100.00% 100.00% 0.00% 0.00% - - 12.154908 0.011251 4.437444 -0.164030 8.632898 0.693477 6.716129 -1.821929 0.0469 0.7115 0.6367 nan nan
2459913 digital_ok 100.00% 100.00% 0.00% 0.00% - - 12.129248 0.410456 3.616979 -0.297558 9.016192 -0.679984 6.138996 0.218445 0.0420 0.6416 0.5757 nan nan
2459876 not_connected 100.00% 100.00% 0.00% 0.00% - - 17.801173 1.889611 20.859973 10.524255 29.911546 4.810006 4.899581 -0.540640 0.0419 0.6389 0.4879 nan nan
2459875 not_connected 100.00% 100.00% 0.00% 0.00% - - 18.717339 1.106641 26.794518 17.482780 13.407344 2.673220 2.971246 -0.339854 0.0420 0.6785 0.5306 nan nan
2459874 not_connected 100.00% 100.00% 0.00% 0.00% - - 26.469783 2.787466 13.742515 7.430590 18.291488 4.024300 3.471244 -0.678045 0.0404 0.6337 0.4959 nan nan
2459873 not_connected 100.00% 100.00% 0.00% 0.00% - - 19.978451 1.758426 17.317623 12.227928 7.332744 2.721978 1.209883 -0.632179 0.0431 0.6347 0.5337 nan nan
2459872 not_connected 100.00% 100.00% 0.00% 0.00% - - 17.356714 1.436190 21.762538 16.113526 20.261589 1.899324 2.026988 -0.868229 0.0376 0.6383 0.4774 nan nan
2459871 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459870 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459869 not_connected 100.00% 100.00% 0.00% 0.00% - - 19.792580 1.283045 19.349459 8.647361 15.928893 2.600220 5.480769 -0.563627 0.0418 0.6620 0.5618 nan nan
2459868 not_connected 100.00% 100.00% 0.00% 0.00% - - 21.453192 2.295431 28.100379 17.531905 10.903811 1.528027 3.282867 -1.370814 0.0404 0.6349 0.5367 nan nan
2459867 not_connected 100.00% 100.00% 0.00% 0.00% - - 14.932275 1.443225 21.727601 13.784221 5.877768 4.075967 2.188993 -0.924364 0.0424 0.6397 0.5448 nan nan
2459866 not_connected 100.00% 100.00% 0.00% 0.00% - - 17.229298 1.753270 20.899895 11.968171 6.546196 7.018119 0.495489 -1.125720 0.0438 0.6419 0.5336 nan nan
2459865 not_connected 100.00% 100.00% 0.00% 0.00% - - 19.232138 3.252789 23.400697 18.462638 15.838345 0.104739 14.693831 1.230902 0.0380 0.6654 0.5181 nan nan
2459864 not_connected 100.00% 100.00% 0.00% 0.00% - - 23.145828 2.115591 7.460182 9.240925 8.334332 1.966554 3.355784 5.545355 0.0389 0.6385 0.5435 nan nan
2459863 not_connected 100.00% 100.00% 0.00% 0.00% - - 13.943485 0.538399 2.413150 -0.866269 3.074362 3.630048 1.432954 -0.818810 0.0393 0.6266 0.5389 nan nan
2459862 not_connected 100.00% 100.00% 0.00% 0.00% - - 13.746814 0.967150 8.022866 11.065514 12.513256 5.880500 1.074642 -0.656708 0.0426 0.6574 0.5237 nan nan
2459861 not_connected 100.00% 100.00% 0.00% 0.00% - - 10.580536 -0.137492 2.656283 -2.345612 2.603734 3.528112 1.081415 -0.532508 0.0387 0.6374 0.5069 nan nan
2459860 not_connected 100.00% 100.00% 0.00% 0.00% - - 11.549778 0.121104 7.752079 6.983817 14.837369 -0.250575 1.320329 -0.520589 0.0389 0.6382 0.5516 nan nan
2459859 not_connected 100.00% 100.00% 0.00% 0.00% - - 9.649743 -0.263575 3.101027 -2.495937 2.305493 2.695088 0.364357 -0.731555 0.0411 0.6450 0.5521 nan nan
2459858 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 10.475126 -0.402157 3.117516 -2.937149 2.368111 9.310174 1.041268 -0.473250 0.0402 0.6498 0.5531 1.205379 2.354466
2459857 not_connected 100.00% 100.00% 100.00% 0.00% - - 6.143501 0.676900 0.697027 0.955769 0.315613 7.279253 2.721645 -1.801030 0.0302 0.0291 0.0018 nan nan
2459856 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 15.610285 0.496174 7.607398 5.752468 6.777402 9.874079 1.779605 -0.987555 0.0424 0.6633 0.5747 1.233204 2.396796
2459855 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 16.355420 0.786453 7.057124 7.551839 2.662368 8.992588 0.477344 -0.820623 0.0414 0.6768 0.5776 1.191799 2.232598
2459854 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 16.351673 0.853728 5.023875 6.089389 3.706482 6.900374 1.511581 -0.772071 0.0419 0.7014 0.5991 1.194799 2.311566
2459853 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 13.682671 0.303434 7.669268 8.574990 7.170864 9.015494 2.082718 -0.515099 0.0429 0.6540 0.5553 1.207114 2.523630
2459852 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 13.327521 1.497490 8.353513 10.042711 15.744328 3.541920 16.682260 7.187241 0.0424 0.8060 0.6892 1.193351 4.419798
2459851 not_connected 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
2459850 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 12.983697 1.386091 6.717505 7.207484 10.383200 9.585652 5.548127 2.232256 0.0475 0.7232 0.5902 1.152546 2.248777
2459849 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 15.077840 1.078566 14.861041 13.346355 7.170837 7.887010 2.567409 -0.170595 0.0449 0.7134 0.5889 1.214892 2.771814
2459848 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 14.073788 1.110185 7.509394 11.514874 14.349069 6.098934 1.002256 -0.762662 0.0446 0.7167 0.6023 1.167801 2.508015
2459847 not_connected 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 16.217300 1.069951 6.749833 12.039903 21.727753 2.934335 -0.041189 -0.966612 0.0401 0.6500 0.5471 1.254217 2.722858

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 153: 2459918

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
153 N16 digital_ok ee Shape 12.142518 -0.232528 12.142518 -0.463800 3.570483 2.536927 6.947695 0.435422 2.336921

Antenna 153: 2459917

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
153 N16 digital_ok ee Shape 10.294691 -0.397787 10.294691 -0.584393 3.463952 4.441557 4.913369 1.713259 1.070691

Antenna 153: 2459916

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
153 N16 digital_ok ee Shape 10.608829 10.608829 -0.242604 3.782041 -0.969444 7.352766 2.347918 1.514427 0.814894

Antenna 153: 2459915

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
153 N16 digital_ok ee Shape 11.194179 11.194179 -0.190830 4.338070 -0.329301 7.888672 2.193116 3.666015 0.792884

Antenna 153: 2459914

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
153 N16 digital_ok ee Shape 12.154908 12.154908 0.011251 4.437444 -0.164030 8.632898 0.693477 6.716129 -1.821929

Antenna 153: 2459913

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
153 N16 digital_ok ee Shape 12.129248 0.410456 12.129248 -0.297558 3.616979 -0.679984 9.016192 0.218445 6.138996

Antenna 153: 2459876

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
153 N16 not_connected ee Temporal Variability 29.911546 17.801173 1.889611 20.859973 10.524255 29.911546 4.810006 4.899581 -0.540640

Antenna 153: 2459875

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
153 N16 not_connected ee Power 26.794518 18.717339 1.106641 26.794518 17.482780 13.407344 2.673220 2.971246 -0.339854

Antenna 153: 2459874

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
153 N16 not_connected ee Shape 26.469783 26.469783 2.787466 13.742515 7.430590 18.291488 4.024300 3.471244 -0.678045

Antenna 153: 2459873

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
153 N16 not_connected ee Shape 19.978451 19.978451 1.758426 17.317623 12.227928 7.332744 2.721978 1.209883 -0.632179

Antenna 153: 2459872

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
153 N16 not_connected ee Power 21.762538 1.436190 17.356714 16.113526 21.762538 1.899324 20.261589 -0.868229 2.026988

Antenna 153: 2459871

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
153 N16 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 153: 2459870

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
153 N16 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 153: 2459869

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
153 N16 not_connected ee Shape 19.792580 19.792580 1.283045 19.349459 8.647361 15.928893 2.600220 5.480769 -0.563627

Antenna 153: 2459868

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
153 N16 not_connected ee Power 28.100379 21.453192 2.295431 28.100379 17.531905 10.903811 1.528027 3.282867 -1.370814

Antenna 153: 2459867

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
153 N16 not_connected ee Power 21.727601 14.932275 1.443225 21.727601 13.784221 5.877768 4.075967 2.188993 -0.924364

Antenna 153: 2459866

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
153 N16 not_connected ee Power 20.899895 1.753270 17.229298 11.968171 20.899895 7.018119 6.546196 -1.125720 0.495489

Antenna 153: 2459865

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
153 N16 not_connected ee Power 23.400697 19.232138 3.252789 23.400697 18.462638 15.838345 0.104739 14.693831 1.230902

Antenna 153: 2459864

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
153 N16 not_connected ee Shape 23.145828 2.115591 23.145828 9.240925 7.460182 1.966554 8.334332 5.545355 3.355784

Antenna 153: 2459863

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
153 N16 not_connected ee Shape 13.943485 13.943485 0.538399 2.413150 -0.866269 3.074362 3.630048 1.432954 -0.818810

Antenna 153: 2459862

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
153 N16 not_connected ee Shape 13.746814 13.746814 0.967150 8.022866 11.065514 12.513256 5.880500 1.074642 -0.656708

Antenna 153: 2459861

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
153 N16 not_connected ee Shape 10.580536 -0.137492 10.580536 -2.345612 2.656283 3.528112 2.603734 -0.532508 1.081415

Antenna 153: 2459860

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
153 N16 not_connected ee Temporal Variability 14.837369 11.549778 0.121104 7.752079 6.983817 14.837369 -0.250575 1.320329 -0.520589

Antenna 153: 2459859

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
153 N16 not_connected ee Shape 9.649743 9.649743 -0.263575 3.101027 -2.495937 2.305493 2.695088 0.364357 -0.731555

Antenna 153: 2459858

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
153 N16 not_connected ee Shape 10.475126 -0.402157 10.475126 -2.937149 3.117516 9.310174 2.368111 -0.473250 1.041268

Antenna 153: 2459857

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
153 N16 not_connected nn Temporal Variability 7.279253 0.676900 6.143501 0.955769 0.697027 7.279253 0.315613 -1.801030 2.721645

Antenna 153: 2459856

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
153 N16 not_connected ee Shape 15.610285 15.610285 0.496174 7.607398 5.752468 6.777402 9.874079 1.779605 -0.987555

Antenna 153: 2459855

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
153 N16 not_connected ee Shape 16.355420 0.786453 16.355420 7.551839 7.057124 8.992588 2.662368 -0.820623 0.477344

Antenna 153: 2459854

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
153 N16 not_connected ee Shape 16.351673 0.853728 16.351673 6.089389 5.023875 6.900374 3.706482 -0.772071 1.511581

Antenna 153: 2459853

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
153 N16 not_connected ee Shape 13.682671 0.303434 13.682671 8.574990 7.669268 9.015494 7.170864 -0.515099 2.082718

Antenna 153: 2459852

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
153 N16 not_connected ee Temporal Discontinuties 16.682260 13.327521 1.497490 8.353513 10.042711 15.744328 3.541920 16.682260 7.187241

Antenna 153: 2459851

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
153 N16 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 153: 2459850

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
153 N16 not_connected ee Shape 12.983697 12.983697 1.386091 6.717505 7.207484 10.383200 9.585652 5.548127 2.232256

Antenna 153: 2459849

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
153 N16 not_connected ee Shape 15.077840 15.077840 1.078566 14.861041 13.346355 7.170837 7.887010 2.567409 -0.170595

Antenna 153: 2459848

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
153 N16 not_connected ee Temporal Variability 14.349069 1.110185 14.073788 11.514874 7.509394 6.098934 14.349069 -0.762662 1.002256

Antenna 153: 2459847

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
153 N16 not_connected ee Temporal Variability 21.727753 1.069951 16.217300 12.039903 6.749833 2.934335 21.727753 -0.966612 -0.041189
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