EXPRES

Module providing types and traits and customized functions for the EXPRES Spectrograph.

• EXPRES Blog
• "EXPRES: a next generation RV spectrograph in the search for earth-like worlds" (Jurgenson et al. 2016)

Trait for 1D Extracted spectra from EXPRES

Trait for 2D Extracted spectra from EXPRES

Trait to specify any 1D or 2D Extracted spectra from EXPRES

Normalize each spectrum based on continuum model from FITS files.

Normalize spectrum based on continuum model from FITS file.

filter_line_list( linelist, inst ; λmin, λmax ) Return DataFrame based on linelist, but filtered to only include lines between λmin and λmax. Defaults for λmin and λmax specified are in traits for EXPRES.

find_worst_telluric_in_each_chunk( chunk_list_timeseries, spectra ) Return an array of the worst (smallest) telluric for each chunk at any time for the provided ChunkListTimeseries.

make_clean_line_list_from_tellurics(line_list, expres_data; Δv_to_avoid_tellurics ) Returns a new line list that excludes lines with telluric contamination. Inputs:

• line_list: Dataframe containing field lambda
• expres_data: Array of spectra
• Δv_to_avoid_tellurics: in m/s

Outputs:

• line_list_without_tellurics: DataFrame with fields: lambda, weight, lambda_lo, and lambda_hi.

Warning: Currently, assumes a tellurics value in metadata for each spectra, such as is provided by EXPRES.

add_metadata_from_fits!(df, filename) Return updated dataframe after adding metadata from FITS file header.

Normalize each spectrum based on blaze model (also tries to include black body function) from FITS files.

Normalize spectrum based on blaze model (also tries to include black body function) from FITS file.

Return modified Julian date based on input Julian date

Read EXPRES data from FITS file, and return in a Spectra2DBasic object.

Read EXPRES data from FITS a file using Filename from a DataFrameRow. Adds other columns from DataFrameRow as metadata.

Read only EXPRES data from FITS file, and leave metadata empty.

Read only EXPRES data from FITS file, and leave metadata empty.

Create Dict containing filename and default metadata from FITS file headers.

Create Dict containing filename and default metadata from FITS file headers.

Create Dataframe containing filenames and key data for all files neid*.fits in directory