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FilterField NameHow it is used for TESS
Observation IDobs_id

FFIs: tess-s0001-4-2, where the 0001 is the sector, the 4 is the camera and 2 is the CCD

Postage stamp: the name is based on the file name and encodes the TIC ID and Sector Information.

Multi-sector DV: tess2018206190142-s0001-s0009-0000000141942911-00205, the range of the sectors searched and TIC ID is encoded

Proposal IDproposal_id

The Guest Investigator IDs are provided in this column. They are stored in a string with underscores separating them.

e.g. G011183_G011132_G011048_G011250

Sectorsequence_numberSector number is stored in this field as an integer. For multi-sector observations, the last sector of the search is stored.
Data Product Typedataproduct_type

FFI: "image"

postage-stamp: "timeseries"

Target Nametarget_name

postage-stamp: The integer TIC ID is given.

FFI: "TESS-FFI" is always the value.


Code Block
languagepy
firstline1
titleAstroquery Example
#To get back 2-minute, TESS Observations from sector 14 

from astroquery.mast import Observations
obs = Observations.query_criteria(obs_collection = 'TESS', sequence_number = [14], dataproduct_type = "timeseries")

Data Products Filter

FilterField NameHow it is used for TESS Data
Minimum Recommended Productmrp_only

When set to True you only get the most common data products. They are:

postage-stamp: light curve files and target pixel files.

FFI: There are no MRPs. 

Product Typeproduct_type

postage-stamp: "timeseries"

FFI: "image"

Descriptiondescription

Choices are":

  • calibrated full frame images
  • uncalibrated full frame images
  • Light curves
  • Target pixel files
Data File TypeproductSubGroupDescription
  • FFIR - raw FFIs
  • FFIC - calibrated FFIs
  • TP - Target pixel files
  • LC - Light curves
  • DVR - Data validation report (includes pdf report and xml file)
  • DVS - Data validation summary
  • DVT - Data validation timeseries
  • DVM - Data validation mini report

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