orbitize.read_input.read_file() to read your astrometric data into orbitize. This method takes one argument, a string to the path of the file containing your input.
This method can read any file format supported by
astropy.io.ascii.read(), including csv format. See the astropy docs.
There are two ways to provide input data to orbitize, either as observations or as an
orbitize!-formatted input table.
You can provide your observations in one of the following valid sets of measurements using the corresponding column names:
RA and DEC offsets [milliarcseconds], using column names
sep [milliarcseconds] and PA [degrees East of NCP], using column names
RV measurement [km/s] using column names
Each row must also have a column for
object. Epoch is the date of the observation, in MJD (JD-2400000.5). If this method thinks you have provided a date in JD, it will print a warning and attempt to convert to MJD. Objects are numbered with integers, where the primary/central object is
You may mix and match these three valid measurement formats in the same input file. So, you can have some epochs with RA/DEC offsets and others in separation/PA measurements.
If you have, for example, one RV measurement of a star and three astrometric
measurements of an orbiting planet, you should put
0 in the
object column for the RV point, and
1 in the columns for the astrometric measurements.
This method will look for columns with the above labels in whatever file format you choose so if you encounter errors, be sure to double check the column labels in your input file.
Putting it all together, here an example of a valid .csv input file:
epoch,object,raoff,raoff_err,decoff,decoff_err,sep,sep_err,pa,pa_err,rv,rv_err 1234,1,0.010,0.005,0.50,0.05,,,,,, 1235,1,,,,,1.0,0.005,89.0,0.1,, 1236,1,,,,,1.0,0.005,89.3,0.3,, 1237,0,,,,,,,,,10,0.1
Columns with no data can be omitted (e.g. if only separation and PA are given, the raoff, deoff, and rv columns can be excluded).
If more than one valid set is given (e.g. RV measurement and astrometric measurement taken at the same epoch),
read_file() will generate a separate output row for each valid set.
Whatever file format you choose, this method will read your input into an
orbitize!-formatted input table. This is an
astropy.Table.table object that looks like this (for the example input given above):
epoch object quant1 quant1_err quant2 quant2_err quant_type float64 int float64 float64 float64 float64 str5 ------- ------ ------- ---------- ------- ---------- ---------- 1234.0 1 0.01 0.005 0.5 0.05 radec 1235.0 1 1.0 0.005 89.0 0.1 seppa 1236.0 1 1.0 0.005 89.3 0.3 seppa 1237.0 0 10.0 0.1 nan nan rv
quant_type is one of “radec”, “seppa”, or “rv”.
quant_type is “radec” or “seppa”, the units of quant are mas and degrees,
quant_type is “rv”, the units of quant are km/s.
Alternatively, you can also supply a data file with the columns already corresponding to the
orbitize!-formatted input table (see above for column names). This may be useful if you are wanting to use the output of the
write_orbitize_input method (e.g. using some input prepared by another
When providing data with columns in the orbitize format, there should be no empty cells. As in the example below, when quant2 is not applicable, the cell should contain nan.