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 = "223"
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 223 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 223, 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% 3.117577 5.193625 8.483050 15.875447 6.165284 13.009700 0.983895 -1.525277 0.0420 0.0591 0.0025 0.000000 0.000000
2459808 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 6.512086 2.247006 9.400847 1.076470 8.101264 1.414317 1.217091 15.876675 0.0433 0.0440 0.0020 0.951543 0.954456
2459807 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 6.515852 2.255387 5.892465 1.389427 6.313602 -0.005301 -1.372987 16.375519 0.0437 0.0405 0.0023 0.865927 0.881320
2459806 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 5.976002 8.380994 9.020557 15.508477 9.837229 35.978466 0.525349 2.475400 0.0423 0.0540 0.0025 0.000000 0.000000
2459805 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 5.836680 6.408169 7.993254 9.945212 5.358972 20.471508 1.842384 3.165055 0.0404 0.0470 0.0018 0.957802 0.951183
2459804 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 7.390804 12.034989 7.967285 13.922092 6.137382 12.756666 -0.040167 -0.361838 0.0421 0.0567 0.0032 0.942601 0.925543
2459803 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.047081 4.713523 10.957731 2.866522 6.481613 2.521775 0.141347 1.927972 0.0448 0.0436 0.0020 0.000000 0.000000
2459802 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 7.521805 3.952496 9.175457 2.520504 10.942656 4.844131 0.546274 1.277206 0.0448 0.0480 0.0024 0.000000 0.000000
2459801 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 7.120865 6.178909 7.448177 6.433021 10.560181 9.597178 0.263741 5.498571 0.0451 0.0474 0.0017 0.000000 0.000000
2459800 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 7.368873 13.153575 6.879922 13.260907 6.774962 12.884206 -0.578025 1.359725 0.0633 0.0722 0.0056 1.221825 1.221557
2459799 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.923101 9.698676 8.753453 16.494537 14.684107 28.028217 0.283811 -1.594136 0.7117 0.6075 0.4210 4.512731 3.154021
2459798 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.308102 2.800169 7.527501 -0.639556 5.813731 1.477334 -0.853712 16.805941 0.6757 0.6416 0.4327 4.144877 3.429542
2459797 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.780301 9.613030 7.081815 12.277053 7.517362 10.915674 -0.828359 0.656567 0.6639 0.6368 0.4313 4.744371 4.220028
2459796 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.720804 3.895193 10.547586 4.896520 7.030542 6.627331 1.320874 2.036498 0.6557 0.6319 0.4134 0.000000 0.000000
2459795 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.190175 12.957537 7.802564 13.949159 7.905581 13.386302 -0.741346 0.466349 0.6343 0.6091 0.4191 5.661602 5.022690
2459794 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.768655 12.711286 8.248792 15.114315 9.628099 16.895872 -0.973816 -0.263358 0.6586 0.6371 0.4101 0.000000 0.000000
2459793 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.376617 9.923256 6.971679 13.813600 8.906011 17.197273 -0.785137 -0.918298 0.6415 0.6310 0.4071 0.000000 0.000000
2459792 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.494609 9.575804 8.350783 16.921038 9.173801 18.744412 0.966683 -0.640215 0.7093 0.6082 0.4164 4.830436 3.566975
2459791 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.402181 11.822578 10.389915 19.471790 11.105470 18.620071 0.843922 0.071399 0.6307 0.6176 0.3925 3.359302 3.134430
2459790 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.290733 18.932280 9.534865 18.386628 14.436727 26.067295 -0.965936 -1.324599 0.6144 0.6064 0.3926 2.443827 2.109423
2459789 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.576212 16.435703 9.617245 19.495763 15.508732 26.616023 -0.037500 0.689170 0.5961 0.5875 0.3854 6.662084 5.808800
2459788 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.286802 14.100639 10.057551 20.747616 16.113036 28.423850 -0.996385 -1.336583 0.5987 0.5906 0.3734 3.519877 3.642585
2459787 RF_ok 100.00% 5.38% 8.06% 0.00% 100.00% 0.00% 6.915084 13.096680 8.161828 17.084515 10.092496 17.702029 -0.827780 -1.707864 0.5592 0.5496 0.3672 3.291023 3.055092
2459786 RF_ok 100.00% 0.00% 2.69% 0.00% 100.00% 0.00% 7.548689 13.619314 10.432403 19.991449 15.996743 26.324033 -0.984033 -1.450823 0.5652 0.5579 0.3533 6.852306 5.700490
2459785 RF_ok 100.00% 0.00% 1.07% 0.00% 100.00% 0.00% 4.503389 12.199116 14.434731 41.316336 11.096039 34.202562 -0.552386 -2.188371 0.7122 0.5939 0.4165 0.000000 0.000000
2459784 RF_ok 100.00% 0.00% 8.06% 0.00% 100.00% 0.00% 6.922904 18.790413 11.709987 32.589113 15.655944 38.535917 0.824953 -1.367187 0.5445 0.5163 0.3442 2.533708 2.226576
2459783 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.077605 15.800590 7.587577 8.854528 16.017614 17.490417 -0.943821 -1.579207 0.5299 0.5062 0.3300 3.001983 2.807975
2459782 RF_ok 100.00% 0.00% 8.06% 0.00% 100.00% 0.00% 12.075752 14.404894 3.849737 4.343363 8.868729 9.797308 -1.347666 -1.497006 0.5050 0.4842 0.3167 3.132362 2.837745
2459781 RF_ok 0.00% 7.82% 9.13% 0.00% 100.00% 0.00% 1.395588 1.158582 0.381350 0.426777 -1.803530 2.334512 -1.846811 -1.539845 0.6915 0.6201 0.3561 3.757014 2.901746
2459778 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.581398 6.731779 5.679054 4.861504 13.897115 23.700925 -2.967968 9.116955 0.6925 0.5794 0.4069 3.767554 2.990866
2459776 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.027237 3.417068 6.123575 4.796983 18.054501 41.516143 21.554546 54.820456 0.7408 0.6134 0.4198 4.293267 3.202986
2459774 RF_ok - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.7088 0.5883 0.4032 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 223: 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
223 N19 RF_ok ee Shape nan nan nan nan nan nan nan nan nan

Antenna 223: 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
223 N19 RF_ok nn Power 15.875447 5.193625 3.117577 15.875447 8.483050 13.009700 6.165284 -1.525277 0.983895

Antenna 223: 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
223 N19 RF_ok nn Temporal Discontinuties 15.876675 2.247006 6.512086 1.076470 9.400847 1.414317 8.101264 15.876675 1.217091

Antenna 223: 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
223 N19 RF_ok nn Temporal Discontinuties 16.375519 2.255387 6.515852 1.389427 5.892465 -0.005301 6.313602 16.375519 -1.372987

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 35.978466 5.976002 8.380994 9.020557 15.508477 9.837229 35.978466 0.525349 2.475400

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 20.471508 5.836680 6.408169 7.993254 9.945212 5.358972 20.471508 1.842384 3.165055

Antenna 223: 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
223 N19 RF_ok nn Power 13.922092 12.034989 7.390804 13.922092 7.967285 12.756666 6.137382 -0.361838 -0.040167

Antenna 223: 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
223 N19 RF_ok ee Power 10.957731 9.047081 4.713523 10.957731 2.866522 6.481613 2.521775 0.141347 1.927972

Antenna 223: 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
223 N19 RF_ok ee Temporal Variability 10.942656 3.952496 7.521805 2.520504 9.175457 4.844131 10.942656 1.277206 0.546274

Antenna 223: 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
223 N19 RF_ok ee Temporal Variability 10.560181 6.178909 7.120865 6.433021 7.448177 9.597178 10.560181 5.498571 0.263741

Antenna 223: 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
223 N19 RF_ok nn Power 13.260907 13.153575 7.368873 13.260907 6.879922 12.884206 6.774962 1.359725 -0.578025

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 28.028217 9.698676 5.923101 16.494537 8.753453 28.028217 14.684107 -1.594136 0.283811

Antenna 223: 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
223 N19 RF_ok nn Temporal Discontinuties 16.805941 7.308102 2.800169 7.527501 -0.639556 5.813731 1.477334 -0.853712 16.805941

Antenna 223: 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
223 N19 RF_ok nn Power 12.277053 9.613030 5.780301 12.277053 7.081815 10.915674 7.517362 0.656567 -0.828359

Antenna 223: 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
223 N19 RF_ok ee Power 10.547586 6.720804 3.895193 10.547586 4.896520 7.030542 6.627331 1.320874 2.036498

Antenna 223: 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
223 N19 RF_ok nn Power 13.949159 12.957537 7.190175 13.949159 7.802564 13.386302 7.905581 0.466349 -0.741346

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 16.895872 6.768655 12.711286 8.248792 15.114315 9.628099 16.895872 -0.973816 -0.263358

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 17.197273 5.376617 9.923256 6.971679 13.813600 8.906011 17.197273 -0.785137 -0.918298

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 18.744412 5.494609 9.575804 8.350783 16.921038 9.173801 18.744412 0.966683 -0.640215

Antenna 223: 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
223 N19 RF_ok nn Power 19.471790 6.402181 11.822578 10.389915 19.471790 11.105470 18.620071 0.843922 0.071399

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 26.067295 18.932280 10.290733 18.386628 9.534865 26.067295 14.436727 -1.324599 -0.965936

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 26.616023 16.435703 8.576212 19.495763 9.617245 26.616023 15.508732 0.689170 -0.037500

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 28.423850 14.100639 7.286802 20.747616 10.057551 28.423850 16.113036 -1.336583 -0.996385

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 17.702029 6.915084 13.096680 8.161828 17.084515 10.092496 17.702029 -0.827780 -1.707864

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 26.324033 13.619314 7.548689 19.991449 10.432403 26.324033 15.996743 -1.450823 -0.984033

Antenna 223: 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
223 N19 RF_ok nn Power 41.316336 12.199116 4.503389 41.316336 14.434731 34.202562 11.096039 -2.188371 -0.552386

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 38.535917 6.922904 18.790413 11.709987 32.589113 15.655944 38.535917 0.824953 -1.367187

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 17.490417 15.800590 13.077605 8.854528 7.587577 17.490417 16.017614 -1.579207 -0.943821

Antenna 223: 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
223 N19 RF_ok nn Shape 14.404894 14.404894 12.075752 4.343363 3.849737 9.797308 8.868729 -1.497006 -1.347666

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 2.334512 1.395588 1.158582 0.381350 0.426777 -1.803530 2.334512 -1.846811 -1.539845

Antenna 223: 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
223 N19 RF_ok nn Temporal Variability 23.700925 6.731779 7.581398 4.861504 5.679054 23.700925 13.897115 9.116955 -2.967968

Antenna 223: 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
223 N19 RF_ok nn Temporal Discontinuties 54.820456 6.027237 3.417068 6.123575 4.796983 18.054501 41.516143 21.554546 54.820456
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