Fitting of dust spectra with genetic algorithms - I. Perspectives and limitations

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Volume 516 (June-July 2010)

A&A, 516 (2010) A45

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Table 4:

Summary of the input values and results of the fits shown in Fig. 4.
			Input							Output
Star	Pop.	Gen.	T_*	$T_{\rm dust}$	$\tau_{10~\mu{}\rm m}$	f₁	f₂	f₃	f₄	f₅	f₆	f₇	f₈	Fitness
			[K]	[K]
CE And	0	0	2700	500	0.19				24	72	4
CE And	90	120	2700	450	0.009				20	65	12		3	3.9998
o Cet			2600	500	0.03		100							6.3535
o Cet	0	0	2600	500	0.03		50	50
o Cet	90	100	2200	650	0.2		60	40						6.3538
Z Cyg			2400	400	0.09		100							4.3745
Z Cyg	0	0	2500	500	0.15		50	50
Z Cyg	90	100	2700	490	0.13			30	36	34				4.3926
TY Dra			3000	600	0.025							100		9.2667
TY Dra	0	0	3000	600	0.025		50	50
TY Dra	90	100	3000	650	0.3		60	30		10				9.6803
S Pav	0	0	2800	400	0.07	42			42		12		4
S Pav	100	200	2800	650	0.0045	41			41		14		4	9.9916
SV Peg			3100	550	0.008	15	71				10		4	6.3979
SV Peg	0a	0a	3100	550	0.008	15	71				10		4
SV Peg	100	90	3000	615	0.008	10	60				26		4	6.4002
SV Peg	100	120	3000	560	0.007	13	61				22		4	6.4006
SV Peg	0b	0b	2800	500	0.12	22			45	20	9		4
SV Peg	100	200	2800	570	0.011	31			32	20	12		5	6.4017

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