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 = "154"
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 154 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 154, 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 0.00% 0.00% 0.00% 0.00% - - -0.581369 -0.957364 0.591914 0.073247 -1.012472 -1.489915 -1.235423 -0.684208 0.6037 0.6376 0.4226 nan nan
2459917 digital_ok 0.00% 0.00% 0.00% 0.00% - - -1.203141 -1.336621 0.285300 -0.185545 -0.933207 -1.941173 -0.372870 -0.735140 0.6399 0.6750 0.4888 nan nan
2459916 digital_ok 0.00% 0.00% 0.00% 0.00% - - -0.606435 -0.924952 0.300407 -0.165378 -1.012334 -1.532871 -1.708249 -0.869781 0.6041 0.6413 0.4274 nan nan
2459915 digital_ok 0.00% 0.00% 0.00% 0.00% - - -0.979294 -1.106917 0.499537 0.130926 -0.664208 -1.199473 -0.893862 -0.293271 0.6453 0.6746 0.3819 nan nan
2459914 digital_ok 0.00% 0.00% 0.00% 0.00% - - -1.292986 -1.094343 0.642902 0.283973 -0.912402 -1.130287 -1.342554 -1.449378 0.6734 0.7080 0.3300 nan nan
2459913 digital_ok 0.00% 0.00% 0.00% 0.00% - - -0.848807 -0.593175 0.497220 0.023380 -0.434329 -1.024541 -0.905019 -0.511767 0.6075 0.6335 0.4279 nan nan
2459876 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.226716 0.556956 18.943360 17.849078 5.706545 7.893974 -1.457504 -0.299933 0.6336 0.6378 0.4189 nan nan
2459875 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.637733 -0.300965 25.576205 24.902117 2.783859 2.866305 -0.970802 0.049111 0.6527 0.6768 0.4305 nan nan
2459874 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.332651 0.319439 13.171296 12.480016 4.285347 3.936018 -1.084490 -0.841281 0.6344 0.6339 0.4129 nan nan
2459873 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.658103 -0.256412 17.370661 16.942166 1.228677 1.156629 -0.786089 -0.766064 0.6357 0.6316 0.4131 nan nan
2459872 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.727670 -0.037126 23.409786 22.905701 2.700899 4.590182 0.072730 -0.964171 0.6333 0.6350 0.4211 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% 0.00% 0.00% 0.00% - - 0.346852 0.780062 17.457968 16.666499 4.144727 3.741881 0.164490 0.234113 0.6537 0.6602 0.4171 nan nan
2459868 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.414787 0.430772 26.914131 26.504147 1.187925 2.297351 -1.070529 -1.236617 0.6324 0.6333 0.4338 nan nan
2459867 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.421571 -0.011057 21.611013 20.965866 1.700804 1.100814 -0.718541 -1.183668 0.6455 0.6394 0.4336 nan nan
2459866 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.344788 0.172237 20.098008 19.130532 2.433638 0.912481 -0.910086 -1.391924 0.6494 0.6421 0.4257 nan nan
2459865 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.078073 0.517514 25.700871 25.318691 3.644571 3.258961 4.082005 1.945105 0.6692 0.6606 0.3999 nan nan
2459864 not_connected 100.00% 0.00% 0.00% 0.00% - - -1.222604 -0.221496 13.340515 12.500962 2.691398 2.236951 0.212992 -0.895957 0.6470 0.6356 0.4459 nan nan
2459863 not_connected 0.00% 0.00% 0.00% 0.00% - - -1.194237 -1.174558 0.600323 0.185512 0.129036 -1.624289 -0.885777 -1.581533 0.6402 0.6241 0.4359 nan nan
2459862 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.826414 -0.682595 16.610916 15.050276 1.596702 1.949067 -0.879568 -0.888200 0.6189 0.6581 0.4479 nan nan
2459861 not_connected 0.00% 0.00% 0.00% 0.00% - - -1.186071 -1.274167 -0.434488 -1.076228 -1.159110 -1.801376 -1.011764 -1.400449 0.6574 0.6383 0.4486 nan nan
2459860 not_connected 100.00% 0.00% 0.00% 0.00% - - -0.273048 -0.205483 12.944867 11.764391 4.047809 3.292940 -1.046181 -1.181880 0.6637 0.6401 0.4473 nan nan
2459859 not_connected 0.00% 0.00% 0.00% 0.00% - - -0.960650 -1.207858 -0.265894 -1.008808 -0.975065 -1.510210 -1.297218 -1.140718 0.6712 0.6458 0.4423 nan nan
2459858 not_connected 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.153940 -1.228457 -0.774832 -1.420858 -0.699684 -1.672101 -1.557198 -1.510296 0.6811 0.6528 0.4556 2.614290 2.558429
2459857 not_connected 0.00% 100.00% 100.00% 0.00% - - 0.891608 0.680367 2.437140 2.078656 -0.186181 -0.862805 -1.577421 -0.640705 0.0302 0.0293 0.0008 nan nan
2459856 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.392525 0.335415 12.178367 10.967909 1.095693 1.346901 -1.866551 -1.571701 0.6711 0.6689 0.4412 2.430961 2.418392
2459855 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.032122 -0.163611 13.489433 12.363130 0.083537 -0.428348 -1.180220 -1.249497 0.6367 0.6808 0.4765 2.325623 2.384815
2459854 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.217194 -0.502452 11.570197 10.653920 -0.124197 -0.776901 -1.395561 -1.207548 0.6669 0.7082 0.4731 2.449061 2.485727
2459853 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.151591 -0.122604 15.018212 13.658491 1.937662 1.159429 -1.429812 -1.228228 0.6979 0.6575 0.4630 2.914872 2.738614
2459852 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.554414 0.743306 14.534553 13.302575 6.671012 6.062674 8.969036 8.542561 0.7851 0.8022 0.2871 4.254848 4.757037
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% 0.00% 0.00% 0.00% 100.00% 0.00% -0.044114 1.088907 14.180354 12.731014 2.188209 5.500962 0.007435 5.401714 0.6962 0.7278 0.3883 2.435664 2.514329
2459849 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.818398 0.751215 28.990613 26.145939 1.439490 1.062652 -1.478852 -0.885607 0.6972 0.7209 0.3950 3.170543 3.218449
2459848 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.278349 0.509555 20.605677 18.524138 2.830219 3.166863 -1.352534 -0.700580 0.6704 0.7213 0.4171 2.542850 2.662705
2459847 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.201366 0.254030 19.397008 17.518444 3.198482 4.358538 -1.244072 -1.259048 0.6824 0.6526 0.4667 5.550271 5.163706

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 154: 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
154 N16 digital_ok ee Power 0.591914 -0.957364 -0.581369 0.073247 0.591914 -1.489915 -1.012472 -0.684208 -1.235423

Antenna 154: 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
154 N16 digital_ok ee Power 0.285300 -1.336621 -1.203141 -0.185545 0.285300 -1.941173 -0.933207 -0.735140 -0.372870

Antenna 154: 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
154 N16 digital_ok ee Power 0.300407 -0.606435 -0.924952 0.300407 -0.165378 -1.012334 -1.532871 -1.708249 -0.869781

Antenna 154: 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
154 N16 digital_ok ee Power 0.499537 -0.979294 -1.106917 0.499537 0.130926 -0.664208 -1.199473 -0.893862 -0.293271

Antenna 154: 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
154 N16 digital_ok ee Power 0.642902 -1.292986 -1.094343 0.642902 0.283973 -0.912402 -1.130287 -1.342554 -1.449378

Antenna 154: 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
154 N16 digital_ok ee Power 0.497220 -0.593175 -0.848807 0.023380 0.497220 -1.024541 -0.434329 -0.511767 -0.905019

Antenna 154: 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
154 N16 not_connected ee Power 18.943360 -0.226716 0.556956 18.943360 17.849078 5.706545 7.893974 -1.457504 -0.299933

Antenna 154: 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
154 N16 not_connected ee Power 25.576205 -0.637733 -0.300965 25.576205 24.902117 2.783859 2.866305 -0.970802 0.049111

Antenna 154: 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
154 N16 not_connected ee Power 13.171296 -0.332651 0.319439 13.171296 12.480016 4.285347 3.936018 -1.084490 -0.841281

Antenna 154: 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
154 N16 not_connected ee Power 17.370661 -0.658103 -0.256412 17.370661 16.942166 1.228677 1.156629 -0.786089 -0.766064

Antenna 154: 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
154 N16 not_connected ee Power 23.409786 -0.037126 -0.727670 22.905701 23.409786 4.590182 2.700899 -0.964171 0.072730

Antenna 154: 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
154 N16 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 154: 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
154 N16 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 154: 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
154 N16 not_connected ee Power 17.457968 0.346852 0.780062 17.457968 16.666499 4.144727 3.741881 0.164490 0.234113

Antenna 154: 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
154 N16 not_connected ee Power 26.914131 -0.414787 0.430772 26.914131 26.504147 1.187925 2.297351 -1.070529 -1.236617

Antenna 154: 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
154 N16 not_connected ee Power 21.611013 -0.421571 -0.011057 21.611013 20.965866 1.700804 1.100814 -0.718541 -1.183668

Antenna 154: 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
154 N16 not_connected ee Power 20.098008 0.172237 -0.344788 19.130532 20.098008 0.912481 2.433638 -1.391924 -0.910086

Antenna 154: 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
154 N16 not_connected ee Power 25.700871 -0.078073 0.517514 25.700871 25.318691 3.644571 3.258961 4.082005 1.945105

Antenna 154: 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
154 N16 not_connected ee Power 13.340515 -0.221496 -1.222604 12.500962 13.340515 2.236951 2.691398 -0.895957 0.212992

Antenna 154: 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
154 N16 not_connected ee Power 0.600323 -1.194237 -1.174558 0.600323 0.185512 0.129036 -1.624289 -0.885777 -1.581533

Antenna 154: 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
154 N16 not_connected ee Power 16.610916 -0.826414 -0.682595 16.610916 15.050276 1.596702 1.949067 -0.879568 -0.888200

Antenna 154: 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
154 N16 not_connected ee Power -0.434488 -1.274167 -1.186071 -1.076228 -0.434488 -1.801376 -1.159110 -1.400449 -1.011764

Antenna 154: 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
154 N16 not_connected ee Power 12.944867 -0.273048 -0.205483 12.944867 11.764391 4.047809 3.292940 -1.046181 -1.181880

Antenna 154: 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
154 N16 not_connected ee Power -0.265894 -0.960650 -1.207858 -0.265894 -1.008808 -0.975065 -1.510210 -1.297218 -1.140718

Antenna 154: 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
154 N16 not_connected ee Temporal Variability -0.699684 -1.228457 -1.153940 -1.420858 -0.774832 -1.672101 -0.699684 -1.510296 -1.557198

Antenna 154: 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
154 N16 not_connected ee Power 2.437140 0.680367 0.891608 2.078656 2.437140 -0.862805 -0.186181 -0.640705 -1.577421

Antenna 154: 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
154 N16 not_connected ee Power 12.178367 0.392525 0.335415 12.178367 10.967909 1.095693 1.346901 -1.866551 -1.571701

Antenna 154: 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
154 N16 not_connected ee Power 13.489433 -0.163611 -0.032122 12.363130 13.489433 -0.428348 0.083537 -1.249497 -1.180220

Antenna 154: 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
154 N16 not_connected ee Power 11.570197 -0.502452 -0.217194 10.653920 11.570197 -0.776901 -0.124197 -1.207548 -1.395561

Antenna 154: 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
154 N16 not_connected ee Power 15.018212 -0.122604 -0.151591 13.658491 15.018212 1.159429 1.937662 -1.228228 -1.429812

Antenna 154: 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
154 N16 not_connected ee Power 14.534553 0.554414 0.743306 14.534553 13.302575 6.671012 6.062674 8.969036 8.542561

Antenna 154: 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
154 N16 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 154: 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
154 N16 not_connected ee Power 14.180354 -0.044114 1.088907 14.180354 12.731014 2.188209 5.500962 0.007435 5.401714

Antenna 154: 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
154 N16 not_connected ee Power 28.990613 0.818398 0.751215 28.990613 26.145939 1.439490 1.062652 -1.478852 -0.885607

Antenna 154: 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
154 N16 not_connected ee Power 20.605677 0.509555 0.278349 18.524138 20.605677 3.166863 2.830219 -0.700580 -1.352534

Antenna 154: 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
154 N16 not_connected ee Power 19.397008 0.254030 -0.201366 17.518444 19.397008 4.358538 3.198482 -1.259048 -1.244072
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