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Reduced schedule to one night

Merged Michiel Brentjens requested to merge brentjens into main
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%% Cell type:markdown id:4f48b265-2419-477c-89a0-308be16a32d6 tags:
# Monitoring observation
Observations at the stations are performed using https://git.astron.nl/brentjens/lofar-black-ops
%% Cell type:code id:aa78bd0a-de98-4a65-8dec-d1107aa76c0c tags:
``` python
%matplotlib widget
%load_ext autoreload
%autoreload 2
```
%% Cell type:code id:a4804e27-81d3-41b7-96fd-d00d3fab1d93 tags:
``` python
from windfarmmonitor import windfarmmonitor as wfm
import pandas as pd
import astropy as apy
from astropy import units as u
import lofarobsxml as lox
```
%% Cell type:code id:9a6cca25-bad0-4040-839e-9a1f3f15cc0c tags:
``` python
FIRST_DATE = '2019-09-10'
LAST_DATE = '2019-09-04'
```
%% Cell type:code id:3157da6b-3676-440c-95b9-92d310418546 tags:
``` python
sunset_utc = apy.time.Time(str(lox.next_sunset(FIRST_DATE)).replace('/', '-'), scale='utc')
sunrise_utc = apy.time.Time(str(lox.next_sunrise(LAST_DATE)).replace('/', '-'), scale='utc')
sunset_utc.iso, sunrise_utc.iso
```
%% Cell type:markdown id:b026f789-5feb-41d0-9e7a-04920632fd60 tags:
## Observations start at 18:30 UTC and end at 04:30 UTC.
This leaves 9.5 h to perform 4 2 hour observations
Rise and set of Tau A and Vir A are important moments. We should avoid observing when they do.
19:00 on first day -> 8*4 = 32 min earlier on last day
%% Cell type:code id:c98f74cf-bd36-4ba1-8f59-140a91c97fc3 tags:
``` python
f = wfm.celestial_sources_alt_az('2019-09-02 19:00')
# f
```
%% Cell type:markdown id:d25f0f8a-ab69-46e8-85ac-bd32893e91d7 tags:
Tau A rises 22:10 on second of september. Try: 19:00-21:00 LBA; 21:00-22:00 HBA_LOW part I BREAK UNTIL 23:30, then HBA_HIGH until 01:30, HBA_MID 01:30-03:30
- 19:00-21:00 LBA
- 21:05-22:05 HBA_LOW I
- #Break for Tau A rising
- 23:30-00:30 HBA_LOW II
- 00:35-02:35 HBA_HIGH
- 02:40-04:40 HBA_MID
%% Cell type:code id:5bcdfd42-954c-4c9b-aec5-37c34426af2a tags:
``` python
apy.time.Time('2019-09-02 22:00', scale='utc', location=wfm.LOFAR).sidereal_time('apparent')
```
%% Cell type:code id:38c1f5ab-42c8-4f7f-82f2-1eec1f07eb48 tags:
``` python
#schedule_header= ['start_utc', 'end_utc', 'band', 'beam_config', 'rcu_mode', 'sb_main', 'sb_cal', 'tx_carrier_spacing_kHz', 'tx_power_dB', 'tx_pol', 'SAS_ID', 'remark']
schedule_header= [('Start', '(UTC)'),
('End', '(UTC)'),
('Band', ''),
('Beam', ''),
('RCU', ''),
('Subbands', '(main)'),
('Subbands', '(aux)'),
('TX rate', '(kHz)'),
('TX power', '(dB)'),
('TX pol', '(H/V)'),
('OBS ID', ''),
('Remarks', '')]
mi_columns=pd.MultiIndex.from_tuples(schedule_header)
ORIGINAL_SCHEDULE =[(0, 'V', 'Production'),]
OVERALL_SCHEDULE = [(0, 'V', 'Production'),
(1, 'V', 'Production'),
(2, 'V', 'OFF'),
(3, 'V', 'Downtime Standby Plus'),
(4, 'V', 'Downtime Standby'),
(5, 'H', 'Production'),
(6, 'H', 'Downtime Standby'),
(7, 'H', 'Downtime Standby Plus'),
(8, 'H', 'OFF'),
(9, 'H', 'Production'),
(10, 'H', 'EMC shutdown; RED light'),
(11, 'V', 'EMC shutdown; RED light'),
(12, 'V', 'SPARE NIGHT'),
]
#OVERALL_SCHEDULE = [(0, 'V', 'Production'),
# (1, 'V', 'Production'),
# (2, 'V', 'OFF'),
# (3, 'V', 'Downtime Standby Plus'),
# (4, 'V', 'Downtime Standby'),
# (5, 'H', 'Production'),
# (6, 'H', 'Downtime Standby'),
# (7, 'H', 'Downtime Standby Plus'),
# (8, 'H', 'OFF'),
# (9, 'H', 'Production'),
# (10, 'H', 'EMC shutdown; RED light'),
# (11, 'V', 'EMC shutdown; RED light'),
# (12, 'V', 'SPARE NIGHT'),
# ]
schedule = []
for day, pol, wtg in OVERALL_SCHEDULE:
for day, pol, wtg in ORIGINAL_SCHEDULE:
OBS_SCHEDULE_TEMPLATE = [
(wfm.add_sidereal_days('2019-09-02 19:00:00', day), wfm.add_sidereal_days('2019-09-02 21:00:00', day), 'LBA', wfm.BM_SPLIT , wfm.RCU_10_90 , '51:460', wfm.cal_subbands(200, 51, 460, 78), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
(wfm.add_sidereal_days('2019-09-02 21:05:00', day), wfm.add_sidereal_days('2019-09-02 22:05:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_110_190, '51:460', wfm.cal_subbands(200, 51, 460, 78), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
(wfm.add_sidereal_days('2019-09-02 23:30:00', day), wfm.add_sidereal_days('2019-09-03 00:30:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_110_190, '51:460', wfm.cal_subbands(200, 51, 460, 78), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
(wfm.add_sidereal_days('2019-09-03 00:35:00', day), wfm.add_sidereal_days('2019-09-03 02:35:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_210_250, '51:256', wfm.cal_subbands(200, 51, 256, 200), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
(wfm.add_sidereal_days('2019-09-03 02:40:00', day), wfm.add_sidereal_days('2019-09-03 04:40:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_170_230, '145:365', wfm.cal_subbands(160, 145, 365, 180), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
(wfm.add_sidereal_days('2019-09-02 22:15:00', day), wfm.add_sidereal_days('2019-09-03 00:15:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_210_250, '51:256', wfm.cal_subbands(200, 51, 256, 200), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
#(wfm.add_sidereal_days('2019-09-03 02:40:00', day), wfm.add_sidereal_days('2019-09-03 04:40:00', day), 'HBA', wfm.BM_SPLIT , wfm.RCU_170_230, '145:365', wfm.cal_subbands(160, 145, 365, 180), 1000, '0: 12s OFF: 48s', pol, -1, wtg),
]
schedule += OBS_SCHEDULE_TEMPLATE
september = pd.DataFrame(schedule, columns=mi_columns)
```
%% Cell type:code id:f2d98b1c-ee98-4ab1-b218-5c59dba31cee tags:
``` python
pd.options.display.max_colwidth = 100
september.to_csv('../test/output/observations-2019-09.csv', index=False)
with open('../test/output/observations-2019-09.tex', mode='w') as out:
out.write(september.to_latex(index=False,
column_format='llllrllrrllp{35ex}',
formatters={('Subbands', '(aux)'): lambda x: '' if not x else str(x)[0:9]+'...',
('Remarks', ''): lambda x: x},
multirow=True))
september
```
%% Cell type:code id:21a40305-1461-4fb9-8df1-be759d1da9bf tags:
``` python
wfm.generate_observation_files(schedule_df=september,
output_directory='../test/output/',
transmitter_etrs={'H': wfm.transmitter_H_etrs, 'V': wfm.transmitter_V_etrs, 'N/A': wfm.LOFAR_ORIGIN_ETRS},
)
```
%% Cell type:code id:8094528d-d806-4538-a41e-fd744b438b7a tags:
``` python
ls -tl ../test/output/station
ls -tl ../test/output/
```
%% Cell type:code id:bc067ba2-2f91-4551-b3e2-78b4b12f8e73 tags:
``` python
```
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