Raw data can be retrieved from the TACC using the normal
HET procedures (see your "new data" email for details). There are two flavors of reduced data available:
daily reductions with Goldilocks (starting March 2020)
approximately trimester-ly reductions from the HPF team
Additionally there are some open source software tools that have been created by HPF users which may be of interest.
Goldilocks is a an automatic pipeline for the HPF instrument at the HET. The pipeline reduces the previous night's data the following morning at 11:30am (length of reduction is 1-2 hours) and provides users with reduced spectra to either adjust their program/targets or quickly turn observations into a scientific publication. Although the primary goal of the software is to quickly reduce the HPF data products, we still aim to provide the highest quality reductions possible for both spectral and radial velocity analysis. More details about the algorithms and products are found here:
For consistency within a program or across programs, if you would like older data reduced, please contact Greg Zeimann at email@example.com. The pipeline is currently working backwards in time to reduce a large portion of the already acquired HPF data, but it may not have gotten to your specific observations quite yet.
Also, given the vast amount of data produced by the instrument, it is not always easy to catch issues or times when the pipeline did not perform as designed. Again, if you notice an issue feel free to contact Greg Zeimann.
HPF team reductions
The HPF team's reductions are provided on TACC, and the following data products are available:
Raw up-the-ramp frames
Reduced 2D images
Extracted and wavelength calibrated 1D spectra
Ancillary calibration files that are useful for understanding the
characteristics of your data.
We have documented these products and the data pipeline procedures at
the following website:
Other useful software for HPF
Blase: Hybrid data/model-driven approach to astronomical echelle spectroscopy data built on PyTorch
Gollum: A microservice for programmatic access to precomputed synthetic spectral model grids in astronomy
Muler: A Python package for analyzing pipeline-processed data from high resolution near-infrared echelle spectrographs
Last updated: Mon, 23 May 2022 15:14:47 +0000 stevenj