Principal component analysis of up-the-ramp sampled infrared array data
| dc.contributor.author | Rauscher, Bernard J. | |
| dc.contributor.author | Arendt, Richard | |
| dc.contributor.author | Fixsen, Dale J. | |
| dc.contributor.author | Kutyrev, Alexander | |
| dc.contributor.author | Mosby, Gregory | |
| dc.contributor.author | Moseley, Samuel H. | |
| dc.date.accessioned | 2019-05-03T17:51:10Z | |
| dc.date.available | 2019-05-03T17:51:10Z | |
| dc.date.issued | 2019-04-09 | |
| dc.description.abstract | We describe the results of principal component analysis (PCA) of up-the-ramp sampled infrared (IR) array data from the Hubble Space Telescope wide field camera 3 (WFC3 IR), James Webb Space Telescope NIRSpec, and prototype Wide Field Infrared Survey Telescope’s wide field instrument detectors. These systems use, respectively, Teledyne H1R, H2RG, and H4RG-10 near-IR detector arrays with a variety of IR array controllers. The PCA shows that the Legendre polynomials approximate the principal components of these systems (i.e., they roughly diagonalize the covariance matrix). In contrast to the monomial basis that is widely used for polynomial fitting and linearization today, the Legendre polynomials are an orthonormal basis. They provide a quantifiable, compact, and (nearly) linearly uncorrelated representation of the information content of the data. By fitting a few Legendre polynomials, nearly all of the meaningful information in representative WFC3 astronomical datacubes can be condensed from 15 up-the-ramp samples down to 6 compressible Legendre coefficients per pixel. The higher order coefficients contain time domain information that is lost when one projects up-the-ramp sampled datacubes onto two-dimensional images by fitting a straight line, even if the data are linearized before fitting the line. Going forward, we believe that this time domain information is potentially important for disentangling the various nonlinearities that can affect IR array observations, i.e., inherent pixel nonlinearity, persistence, burn in, brighter-fatter effect, (potentially) nonlinear interpixel capacitance, and perhaps others. | en_US |
| dc.description.sponsorship | This work was supported by NASA as part of the James Webb Space Telescope (JWST),Wide Field Infrared Survey Telescope (WFIRST), and Hubble Space Telescope (HST) projects.We are grateful for generous support over many years from the Goddard Internal Research and Development (IRAD) program. We wish to thank the Goddard Detector Characterization Laboratory (DCL) for their superb work. Our first attempts at PCA used WFIRST H4RG-10 test data. WFIRST scientist Bob Hill, WFIRST manager Dave Content, and DCL detector engineers Roger Foltz, Yiting Wen, Laddawan Miko, and Augustyn Waczynski (and others) made these outstanding data possible. We confirmed the WFIRST findings using DCL data from the JWST NIRSpec detector subsystem ground calibration campaign. In addition to those already mentioned, JWST Scientist Matt Greenhouse, DCL engineer Brent Mott, software engineer Donna Wilson, and SIDECAR ASIC designer Markus Loose contributed to making the NIRSpec test campaign the success that it was. When it was time to move on to real astronomical data, the STScI archive was a pleasure to use. The Abell 370 data were obtained from the Mikulski Archive for Space Telescopes (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. We wish to thank Stephan Birkmann and Pierre Ferruit of the JWST NIRSpec team for reading the entire manuscript prior to submission and providing valuable comments. We wish to thank the anonymous reviewers for carefully reading the manuscript and providing helpful comments that have made the paper more accessible to a wider audience. | en_US |
| dc.description.uri | https://www.spiedigitallibrary.org/journals/Journal-of-Astronomical-Telescopes-Instruments-and-Systems/volume-5/issue-2/028001/Principal-component-analysis-of-up-the-ramp-sampled-infrared-array/10.1117/1.JATIS.5.2.028001.full?SSO=1 | en_US |
| dc.format.extent | 14 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.identifier | doi:10.13016/m2qhcl-jssa | |
| dc.identifier.citation | Bernard J. Rauscher; Richard G. Arendt; Dale J. Fixsen; Alexander Kutyrev; Gregory Mosby; Samuel H. Moseley , Principal component analysis of up-the-ramp sampled infrared array data, J. of Astronomical Telescopes, Instruments, and Systems, 5(2), 028001 (2019). https://doi.org/10.1117/1.JATIS.5.2.028001 | en_US |
| dc.identifier.uri | https://doi.org/10.1117/1.JATIS.5.2.028001 | |
| dc.identifier.uri | http://hdl.handle.net/11603/13561 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | SPIE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Center for Space Sciences and Technology | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | © (2019) Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. | |
| dc.rights.uri | https://creativecommons.org/publicdomain/zero/1.0/ | |
| dc.subject | methods | en_US |
| dc.subject | statistical instrumentation | en_US |
| dc.subject | detectors | en_US |
| dc.title | Principal component analysis of up-the-ramp sampled infrared array data | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0001-8403-8548 |