Applying a temporal systematics model to vector Apodizing Phase Plate coronagraphic data: TRAP4vAPP

Liu, P; Bohn, AJ; Doelman, DS; Sutlieff, BJ; Samland, M; Kenworthy, MA; Snik, F; Birkby, JL; Biller, BA; Males, JR; Morzinski, KM; Close, LM; Otten, GPPL

AI Collection

Journal article

Applying a temporal systematics model to vector Apodizing Phase Plate coronagraphic data: TRAP4vAPP

Abstract:: The vector Apodizing Phase Plate (vAPP) is a pupil plane coronagraph that suppresses starlight by forming a dark hole in its point spread function (PSF). The unconventional and non-axisymmetrical PSF arising from the phase modification applied by this coronagraph presents a special challenge to post-processing techniques. We aim to implement a recently developed post-processing algorithm, temporal reference analysis of planets (TRAP) on vAPP coronagraphic data. The property of TRAP that uses non-local training pixels, combined with the unconventional PSF of vAPP, allows for more flexibility than previous spatial algorithms in selecting reference pixels to model systematic noise. Datasets from two types of vAPPs are analysed: a double grating-vAPP (dgvAPP360) that produces a single symmetric PSF and a grating-vAPP (gvAPP180) that produces two D-shaped PSFs. We explore how to choose reference pixels to build temporal systematic noise models in TRAP for them. We then compare the performance of TRAP with previously implemented algorithms that produced the best signal-to-noise ratio (S/N) in companion detections in these datasets. We find that the systematic noise between the two D-shaped PSFs is not as temporally associated as expected. Conversely, there is still a significant number of systematic noise sources that are shared by the dark hole and the bright side in the same PSF. We should choose reference pixels from the same PSF when reducing the dgvAPP360 dataset or the gvAPP180 dataset with TRAP. In these datasets, TRAP achieves results consistent with previous best detections, with an improved S/N for the gvAPP180 dataset.Comment: 15 pages, 10 figures, accepted to A&

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Liu, P., Bohn, A. J., Doelman, D. S., Sutlieff, B. J., Samland, M., Kenworthy, M. A., Snik, F., Birkby, J. L., Biller, B. A., Males, J. R., Morzinski, K. M., Close, L. M., & Otten, G. P. P. L. (2023). Applying a temporal systematics model to vector Apodizing Phase Plate coronagraphic data: TRAP4vAPP. Astronomy & Astrophysics, 674, A115–A115.

MLA Style

Liu, P, et al. “Applying a Temporal Systematics Model to Vector Apodizing Phase Plate Coronagraphic Data: TRAP4vAPP.” Astronomy & Astrophysics, vol. 674, 2023, pp. A115–A115.

Chicago Style

Liu, P, AJ Bohn, DS Doelman, et al. 2023. “Applying a Temporal Systematics Model to Vector Apodizing Phase Plate Coronagraphic Data: TRAP4vAPP.” Astronomy & Astrophysics 674: A115–A115.
Print