The high cadence transient survey (HITS). Compilation and characterization of light–curve catalogs
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2018Metadata
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Martínez Palomera, Jorge
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The high cadence transient survey (HITS). Compilation and characterization of light–curve catalogs
Author
- Martínez Palomera, Jorge;
- Forster, Francisco;
- Protopapas, Pavlos;
- Maureira, Juan Carlos;
- Lira Teillery, Paulina;
- Cabrera Vives, Guillermo;
- Huijse Heise, Pablo Andrés;
- Galbany, Lluis;
- De Jaeger, Thomas;
- González Gaitán, Santiago;
- Medina, Gustavo;
- Pignata Libralato, Giuliano;
- San Martín Aristegui, Jaime;
- Hamuy Wackenhut, Mario;
- Muñoz Vidal, Ricardo Rodrigo;
Abstract
The High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic
timescales between hours and days, such as pulsating, eclipsing and exploding stars. This
survey represents a unique laboratory to explore large etendue observations from cadences of about
0.1 days and to test new computational tools for the analysis of large data. This work follows a fully
Data Science approach: from the raw data to the analysis and classification of variable sources. We
compile a catalog of ∼15 million object detections and a catalog of ∼2.5 million light–curves classified
by variability. The typical depth of the survey is 24.2, 24.3, 24.1 and 23.8 in u, g, r and i bands,
respectively. We classified all point–like non–moving sources by first extracting features from their
light–curves and then applying a Random Forest classifier. For the classification, we used a training
set constructed using a combination of cross-matched catalogs, visual inspection, transfer/active
learning and data augmentation. The classification model consists of several Random Forest classifiers
organized in a hierarchical scheme. The classifier accuracy estimated on a test set is approximately
97%. In the unlabeled data, 3 485 sources were classified as variables, of which 1 321 were classified
as periodic. Among the periodic classes we discovered with high confidence, 1 δ–scutti, 39 eclipsing
binaries, 48 rotational variables and 90 RR–Lyrae and for the non–periodic classes we discovered 1
cataclysmic variables, 630 QSO, and 1 supernova candidates. The first data release can be accessed in
the project archive of HiTSa)
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Astrophysical Journal arXiv:1809.00763 [astro-ph.IM]
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