{"id":2586,"date":"2015-03-03T13:35:06","date_gmt":"2015-03-03T19:35:06","guid":{"rendered":"https:\/\/uwm.edu\/physics\/?post_type=tribe_events&p=2586"},"modified":"2023-02-07T10:08:08","modified_gmt":"2023-02-07T16:08:08","slug":"colloquium-lucianne-walkowicz","status":"publish","type":"tribe_events","link":"https:\/\/uwm.edu\/physics\/event\/colloquium-lucianne-walkowicz\/","title":{"rendered":"Colloquium: Lucianne Walkowicz"},"content":{"rendered":"

The Physics department colloquia are usually on Friday afternoons at 3 pm in Room 135. Coffee and cookies are served at 2:45 pm in the same room. Anyone is welcome.<\/p>\n

Astrobiology and Anomalies: Applications of Machine Learning in Astronomical Surveys<\/strong>
\nDr. Lucianne Walkowicz<\/strong>, Adler Planetarium<\/p>\n

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.<\/p>\n

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 datasets that now dominate the astronomical landscape.<\/p>\n","protected":false},"excerpt":{"rendered":"

The Physics department colloquia are usually on Friday afternoons at 3 pm in Room 135. Coffee and cookies are served at 2:45 pm in the same room. Anyone is welcome. 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