東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

New Insights from Aperiodic Variabil...

Findeisen, Krzysztof.

FindBook

Google Book

Amazon

博客來

New Insights from Aperiodic Variability of Young Stars.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New Insights from Aperiodic Variability of Young Stars./
作者:	Findeisen, Krzysztof.
面頁冊數:	225 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
Contained By:	Dissertation Abstracts International76-02B(E).
標題:	Astrophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3637030
ISBN:	9781321193985

New Insights from Aperiodic Variability of Young Stars.
Findeisen, Krzysztof.

New Insights from Aperiodic Variability of Young Stars. - 225 p.

Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.

Thesis (Ph.D.)--California Institute of Technology, 2015.

Nearly all young stars are variable, with the variability traditionally divided into two classes: periodic variables and aperiodic or "irregular" variables. Periodic variables have been studied extensively, typically using periodograms, while aperiodic variables have received much less attention due to a lack of standard statistical tools. However, aperiodic variability can serve as a powerful probe of young star accretion physics and inner circumstellar disk structure. For my dissertation, I analyzed data from a large-scale, long-term survey of the nearby North America Nebula complex, using Palomar Transient Factory photometric time series collected on a nightly or every few night cadence over several years. This survey is the most thorough exploration of variability in a sample of thousands of young stars over time baselines of days to years, revealing a rich array of lightcurve shapes, amplitudes, and timescales.

ISBN: 9781321193985Subjects--Topical Terms:

535904
Astrophysics.

New Insights from Aperiodic Variability of Young Stars.
LDR:02832nmm a2200289 4500 001 2077346
005 20161114130257.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321193985
035 $a (MiAaPQ)AAI3637030
035 $a AAI3637030
040 $a MiAaPQ $c MiAaPQ
100 1 $a Findeisen, Krzysztof. $3 3192848
245 1 0 $a New Insights from Aperiodic Variability of Young Stars.
300 $a 225 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
500 $a Adviser: Lynne Hillenbrand.
502 $a Thesis (Ph.D.)--California Institute of Technology, 2015.
520 $a Nearly all young stars are variable, with the variability traditionally divided into two classes: periodic variables and aperiodic or "irregular" variables. Periodic variables have been studied extensively, typically using periodograms, while aperiodic variables have received much less attention due to a lack of standard statistical tools. However, aperiodic variability can serve as a powerful probe of young star accretion physics and inner circumstellar disk structure. For my dissertation, I analyzed data from a large-scale, long-term survey of the nearby North America Nebula complex, using Palomar Transient Factory photometric time series collected on a nightly or every few night cadence over several years. This survey is the most thorough exploration of variability in a sample of thousands of young stars over time baselines of days to years, revealing a rich array of lightcurve shapes, amplitudes, and timescales.
520 $a I have constrained the timescale distribution of all young variables, periodic and aperiodic, on timescales from less than a day to ~100 days. I have shown that the distribution of timescales for aperiodic variables peaks at a few days, with relatively few (&sim;15%) sources dominated by variability on tens of days or longer. My constraints on aperiodic timescale distributions are based on two new tools, magnitude- vs. time-difference (Delta m-Deltat) plots and peak-finding plots, for describing aperiodic lightcurves; this thesis provides simulations of their performance and presents recommendations on how to apply them to aperiodic signals in other time series data sets. In addition, I have measured the error introduced into colors or SEDs from combining photometry of variable sources taken at different epochs. These are the first quantitative results to be presented on the distributions in amplitude and time scale for young aperiodic variables, particularly those varying on timescales of weeks to months.
590 $a School code: 0037.
650 4 $a Astrophysics. $3 535904
650 4 $a Astronomy. $3 517668
690 $a 0596
690 $a 0606
710 2 $a California Institute of Technology. $b Astrophysics. $3 2101583
773 0 $t Dissertation Abstracts International $g 76-02B(E).
790 $a 0037
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3637030