This page describes a table with AutoOOF results, and how it was created.

Table

In csv or hdf format.
The table currently contains projects that used AutoOOF and after that issued a peak or focus scan using Argus (including a vanecal).

Processing

The code used to produce the table can be found here.

Table description

There is one row per AutoOOF scan, per peak/focus scan used to derive the surface rms. For example, if during a session AutoOOF was used twice, and after each AutoOOF an AutoPeakFocus was issued, then there will be 2x5 entries for that session.

Column	Type	Description	Notes
projid	string	Project identifier. Example: AGBT21B_269_01
oofmjd	float	Modified Julian date of the first AutoOOF scan
scanmjd	float	Modified Julian date of the scan used to derive the surface rms	Can be a peak or focus scan
oofscan	int	Scan number for the AutoOOF
vscan	int	Vane scan number	Used to calibrate the system temperature and gain for Argus observations
sscan	int	Sky scan number	Used to calibrate the system temperature and gain for Argus observations
effscan	int	Scan number for the scan used to derive the aperture efficiency
oofobj	string	Name of the source used during AutoOOF
effobj	string	Name of the source used to derive the aperture efficiency
surfrms	float	Derived surface rms in microns
tant	float	Antenna temperature corrected for atmospheric opacity
tau0	float	Forecasted zenit opacity used to correct the antenna temperature
weather1_wind_avg	float	Average wind speed measured by weather station 1 during the AutoOOF scan. In m s-1
weather1_wind_med	float	Median wind speed measured by weather station 1 during the AutoOOF scan. In m s-1
weather1_wind_std	float	Standard deviation of the wind speed measured by weather station 1 during the AutoOOF scan. In m s-1
weather2_wind_avg	float	Average wind speed measured by weather station 2 during the AutoOOF scan. In m s-1
weather2_wind_med	float	Median wind speed measured by weather station 2 during the AutoOOF scan. In m s-1
weather2_wind_std	float	Standard deviation of the wind speed measured by weather station 2 during the AutoOOF scan. In m s-1
weather2_temp_avg	float	Average temperature measured by weather station 2 during the AutoOOF scan. In C
weather2_temp_med	float	Median temperature measured by weather station 2 during the AutoOOF scan. In C
weather2_temp_std	float	Standard deviation of the temperature measured by weather station 2 during the AutoOOF scan. In C
weather3_wind_avg	float	Average wind speed measured by weather station 3 during the AutoOOF scan. In m s-1
weather3_wind_med	float	Median wind speed measured by weather station 3 during the AutoOOF scan. In m s-1
weather3_wind_std	float	Standard deviation of the wind speed measured by weather station 3 during the AutoOOF scan. In m s-1
efftype	string	Type of scan used to derive the aperture efficiency. 'F' for focus, 'P' for peak	Not implemented
w2weff	float	Average wind speed measured by weather station 2 during the scan used to derive the aperture efficiency. In m s-1	Not implemented
w3weff	float	Average wind speed measured by weather station 3 during the scan used to derive the aperture efficiency. In m s-1	Not implemented

Usage

Below an example, in python, of how to use the table.

import pandas as pd
# Load the table into a pandas data frame.
df = pd.read_hdf("auto-oof-scans-15A_22A-Argus-14102022.hdf", "auto-oof")
# Get the values of surface rms as a numpy array.
rms = df["surfrms"].to_numpy()

TODO

• Once prepoint is fixed, use it to calibrate the peak & focus scans.

-- PedroSalas - 2022-10-13