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

D. Mislis; S. Pyrzas; K. A. Alsubai; Z. I. 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

D. Mislis^*
, S. Pyrzas
, K. A. Alsubai
, Z. I. Tsvetanov
, N. P.E. Vilchez

^*Corresponding author for this work

Hamad bin Khalifa University

Research output: Contribution to journal › Article › peer-review

7 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 - 1 Mar 2017

Keywords

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

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10.1093/mnras/stw2999

Cite this

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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 \textasciitilde{}9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of \textasciitilde{}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 = "D. Mislis and S. Pyrzas and Alsubai, \{K. A.\} and Tsvetanov, \{Z. I.\} and Vilchez, \{N. P.E.\}",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.",

year = "2017",

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doi = "10.1093/mnras/stw2999",

language = "English",

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TY - JOUR

T1 - The DOHA algorithm

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

AU - Mislis, D.

AU - Pyrzas, S.

AU - Alsubai, K. A.

AU - Tsvetanov, Z. I.

AU - Vilchez, N. P.E.

PY - 2017/3/1

Y1 - 2017/3/1

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 - https://www.scopus.com/pages/publications/85014647380

U2 - 10.1093/mnras/stw2999

DO - 10.1093/mnras/stw2999

M3 - Article

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VL - 465

SP - 3759

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JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 3

ER -

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

Abstract

Keywords

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