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 | |
| Publication status | Published - 2017 |
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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
The DOHA algorithm : A new recipe for cotrending large-scale transiting exoplanet survey light curves. / Mislis, Dimitrios; Pyrzas, S.; Al-Subai, Khalid; Tsvetanov, Zlatan; Vilchez, N. P E.
In: Monthly Notices of the Royal Astronomical Society, Vol. 465, No. 3, 2017, p. 3759-3766.Research output: Contribution to journal › Article
}
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 -