2008
DOI: 10.1002/asna.200710928
|View full text |Cite
|
Sign up to set email alerts
|

ARTEMiS (Automated Robotic Terrestrial Exoplanet Microlensing Search): A possible expert‐system based cooperative effort to hunt for planets of Earth mass and below

Abstract: The technique of gravitational microlensing is currently unique in its ability to provide a sample of terrestrial exoplanets around both Galactic disk and bulge stars, allowing to measure their abundance and determine their distribution with respect to mass and orbital separation. Thus, valuable information for testing models of planet formation and orbital migration is gathered, constituting an important piece in the puzzle for the existence of life forms throughout the Universe. In order to achieve these goa… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
42
0

Year Published

2010
2010
2018
2018

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 43 publications
(42 citation statements)
references
References 18 publications
0
42
0
Order By: Relevance
“…In order to compare the different search techniques discussed in Section III schedules were constructed for three different instances of historic data from the ARTEMiS system [14]. On each of these instances three different algorithm configurations were run.…”
Section: A Search Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to compare the different search techniques discussed in Section III schedules were constructed for three different instances of historic data from the ARTEMiS system [14]. On each of these instances three different algorithm configurations were run.…”
Section: A Search Methodsmentioning
confidence: 99%
“…The e-Infrastructure we have designed obtains input from the ARTEMiS (Automated Robotic Terrestrial Exoplanet Microlensing Search) system [14] and is intended to interact with a telescope as shown in Figure 1. There are two main components, namely (i) the Schedule Constructor, which generates a schedule for the telescope based on the input data (considered in Section III), and (ii) the Re-scheduler, which reschedules the telescope when there is an interruption due to unpredictable weather (presented in Section IV).…”
Section: E-infrastructure Architecturementioning
confidence: 99%
“…Third, ongoing deviations need to be identified promptly [73,74]. Fourth, and finally, all the information needs to be communicated from the telescopes to the data assessment systems and back to instruct the observer or re-schedule a robotic telescope [74][75][76][77][78]. The detection of Earth-mass planets would require the information loop to be closed within 5-10 min.…”
Section: Observing Strategiesmentioning
confidence: 99%
“…Moreover, we introduce two sub-classes -regular and anomalous microlensing events. For that purpose, we rely on the Automated Robotic Terrestrial Exoplanet Microlensing Search (ARTEMiS) system (Dominik et al 2008) providing us with event parameters and anomaly triggers for events with irregular light curve shapes. In this two-tier approach, we generate preliminary target lists by reducing the number of transient (microlensing) events based on observability, survey coverage, and expected duration.…”
Section: Robotap In Contextmentioning
confidence: 99%
“…Additional observing resources on the 2 m Faulkes telescopes could be activated by the person responsible for the daily monitoring of operations. The exposure time and sampling rate for anomalous events was obtained from ARTEMiS (Dominik et al 2008) and the SIGNAL-MEN anomaly detection algorithm, but exposure time estimates and sampling rates were adjusted for the 1 m network.…”
Section: Observing Constraints: Pre-selectionmentioning
confidence: 99%