Recommended Citation
August 1, 2013.
Abstract
The Stratospheric Observatory For Infrared Astronomy (SOFIA) is a heavily modified Boeing 747SP aircraft equipped with 2.5 meter reflecting telescope. Among the suite of instruments onboard is the Faint Object Infrared Camera for the SOFIA Telescope (FORCAST). FORCAST features two cameras for short (5-25 microns) and long (25-40 microns) wavelength detection. Making infrared observations in these wavelengths presents a challenge because the telescope and sky emit background radiation magnitudes brighter than the object of interest. Because of this, the raw FORCAST data must be corrected and reduced. The Data Reduction Interactive Pipeline (DRIP) was developed to process all FORCAST data using IDL procedures. Each step of the data reduction and calibration is saved for graphic interface. On all raw data, DRIP cleans bad pixels, applies droop and non-linearity correction, does background subtraction, and jailbar removal. It can optionally do image rectification and combine chop/nod groups. Our current mission, in collaboration with the Division of Planetary Sciences group, is to validate the DRIP output and ensure that the highest quality data is provided for imaging and the astronomical community.
Disciplines
Instrumentation
Mentor
Sachindev S. Shenov
Lab site
NASA Ames Research Center (ARC)
Funding Acknowledgement
This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013 and Grant No. 0934931. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU).
Included in
URL: https://digitalcommons.calpoly.edu/star/191