TY - JOUR
T1 - Monte Carlo simulation of solar p-mode profiles revisited: bias and uncertainty estimation from one, not many, fits
AU - Toutain, T
AU - Elsworth, Yvonne
AU - Chaplin, William
PY - 2005/1/1
Y1 - 2005/1/1
N2 - It is quite common in helioseismology to use extensive Monte Carlo simulations to investigate the bias and associated uncertainties in fitted p-mode parameters. This can, however, be very time-intensive if the fitting problem is complicated or large datasets ( in time or resolution) are involved. Here, we show that it is often possible to reduce significantly the task by taking advantage of the statistical properties of the p-mode profiles.
AB - It is quite common in helioseismology to use extensive Monte Carlo simulations to investigate the bias and associated uncertainties in fitted p-mode parameters. This can, however, be very time-intensive if the fitting problem is complicated or large datasets ( in time or resolution) are involved. Here, we show that it is often possible to reduce significantly the task by taking advantage of the statistical properties of the p-mode profiles.
KW - Sun : helioseismology
KW - methods : data analysis
KW - methods : statistical
UR - http://www.scopus.com/inward/record.url?scp=16644370838&partnerID=8YFLogxK
U2 - 10.1051/0004-6361:20042508
DO - 10.1051/0004-6361:20042508
M3 - Article
SN - 1432-0756
VL - 433
SP - 713
EP - 715
JO - Astronomy and Astrophysics
JF - Astronomy and Astrophysics
ER -