Rise of the Machines: Mining the Kepler Data for Astrobiology - Lucianne...
Δημοσιεύτηκε στις 18 Νοε 2014
Abstract:
Since its launch in 2009, NASA's Kepler Mission has transformed our
knowledge of exoplanetary system demographics. Kepler's primary mission
goal-- to quantify the occurrence rate of habitable zone Earth-size
planets around Sun-like stars-- has a clear connection to astrobiology.
However, in addition to its planet-finding capabilities, the Kepler data
may also be used to study other questions of astrobiological interest.
In this talk, I will discuss my work on two such ongoing projects: the
quantification of the stellar flare rate, which influences planetary
habitability through its influence on atmospheric photochemistry and
escape; and the detection of anomalous stellar variability as a form of
signal-agnostic optical SETI. Both of these lines of research employ
machine learning techniques, making them applicable to the current and
future large datasets that now dominate the astronomical landscape.
Since its launch in 2009, NASA's Kepler Mission has transformed our
knowledge of exoplanetary system demographics. Kepler's primary mission
goal-- to quantify the occurrence rate of habitable zone Earth-size
planets around Sun-like stars-- has a clear connection to astrobiology.
However, in addition to its planet-finding capabilities, the Kepler data
may also be used to study other questions of astrobiological interest.
In this talk, I will discuss my work on two such ongoing projects: the
quantification of the stellar flare rate, which influences planetary
habitability through its influence on atmospheric photochemistry and
escape; and the detection of anomalous stellar variability as a form of
signal-agnostic optical SETI. Both of these lines of research employ
machine learning techniques, making them applicable to the current and
future large datasets that now dominate the astronomical landscape.
Κατηγορία
Άδεια
- Τυπική άδεια YouTube
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου