The DOHA algorithm: A new recipe for cotrending large-scale transiting exoplanet survey light curves

Dimitrios Mislis; S. Pyrzas; Khalid Al-Subai; Zlatan Tsvetanov; N. P E Vilchez

doi:10.1093/mnras/stw2999

The DOHA algorithm: A new recipe for cotrending large-scale transiting exoplanet survey light curves

Dimitrios Mislis, S. Pyrzas, Khalid Al-Subai, Zlatan Tsvetanov, N. P E Vilchez

Research output: Contribution to journal › Article

5 Citations (Scopus)

Abstract

We present DOHA, a new algorithm for cotrending photometric light curves obtained by transiting exoplanet surveys. The algorithm employs a novel approach to the traditional 'differential photometry' technique, by selecting the most suitable comparison star for each target light curve, using a two-step correlation search. Extensive tests on real data reveal that DOHA corrects both intra-night variations and long-term systematics affecting the data. Statistical studies conducted on a sample of ~9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of ~2, compared to the raw light curves. In addition, we show that the transit detection probability in our sample can increase considerably, even up to a factor of 7, after applying DOHA.

Original language	English
Pages (from-to)	3759-3766
Number of pages	8
Journal	Monthly Notices of the Royal Astronomical Society
Volume	465
Issue number	3
DOIs	https://doi.org/10.1093/mnras/stw2999
Publication status	Published - 2017

Fingerprint

Keywords

Methods: data analysis
Methods: statistical
Planets and satellites: detection
Techniques: photometric

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

Cite this

Mislis, D., Pyrzas, S., Al-Subai, K., Tsvetanov, Z., & Vilchez, N. P. E. (2017). The DOHA algorithm: A new recipe for cotrending large-scale transiting exoplanet survey light curves. Monthly Notices of the Royal Astronomical Society, 465(3), 3759-3766. https://doi.org/10.1093/mnras/stw2999

@article{2b085c029a9b495499647ea7a8c139bf,

title = "The DOHA algorithm: A new recipe for cotrending large-scale transiting exoplanet survey light curves",

abstract = "We present DOHA, a new algorithm for cotrending photometric light curves obtained by transiting exoplanet surveys. The algorithm employs a novel approach to the traditional 'differential photometry' technique, by selecting the most suitable comparison star for each target light curve, using a two-step correlation search. Extensive tests on real data reveal that DOHA corrects both intra-night variations and long-term systematics affecting the data. Statistical studies conducted on a sample of ~9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of ~2, compared to the raw light curves. In addition, we show that the transit detection probability in our sample can increase considerably, even up to a factor of 7, after applying DOHA.",

keywords = "Methods: data analysis, Methods: statistical, Planets and satellites: detection, Techniques: photometric",

author = "Dimitrios Mislis and S. Pyrzas and Khalid Al-Subai and Zlatan Tsvetanov and Vilchez, {N. P E}",

year = "2017",

doi = "10.1093/mnras/stw2999",

language = "English",

volume = "465",

pages = "3759--3766",

journal = "Monthly Notices of the Royal Astronomical Society",

issn = "0035-8711",

publisher = "Oxford University Press",

number = "3",

}

TY - JOUR

T1 - The DOHA algorithm

T2 - A new recipe for cotrending large-scale transiting exoplanet survey light curves

AU - Mislis, Dimitrios

AU - Pyrzas, S.

AU - Al-Subai, Khalid

AU - Tsvetanov, Zlatan

AU - Vilchez, N. P E

PY - 2017

Y1 - 2017

N2 - We present DOHA, a new algorithm for cotrending photometric light curves obtained by transiting exoplanet surveys. The algorithm employs a novel approach to the traditional 'differential photometry' technique, by selecting the most suitable comparison star for each target light curve, using a two-step correlation search. Extensive tests on real data reveal that DOHA corrects both intra-night variations and long-term systematics affecting the data. Statistical studies conducted on a sample of ~9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of ~2, compared to the raw light curves. In addition, we show that the transit detection probability in our sample can increase considerably, even up to a factor of 7, after applying DOHA.

AB - We present DOHA, a new algorithm for cotrending photometric light curves obtained by transiting exoplanet surveys. The algorithm employs a novel approach to the traditional 'differential photometry' technique, by selecting the most suitable comparison star for each target light curve, using a two-step correlation search. Extensive tests on real data reveal that DOHA corrects both intra-night variations and long-term systematics affecting the data. Statistical studies conducted on a sample of ~9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of ~2, compared to the raw light curves. In addition, we show that the transit detection probability in our sample can increase considerably, even up to a factor of 7, after applying DOHA.

KW - Methods: data analysis

KW - Methods: statistical

KW - Planets and satellites: detection

KW - Techniques: photometric

UR - http://www.scopus.com/inward/record.url?scp=85014647380&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85014647380&partnerID=8YFLogxK

U2 - 10.1093/mnras/stw2999

DO - 10.1093/mnras/stw2999

M3 - Article

AN - SCOPUS:85014647380

VL - 465

SP - 3759

EP - 3766

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 3

ER -

Access to Document

10.1093/mnras/stw2999