Saul J. Adelman1,2 - O. I. Pintado3,4 - F. Nieva3 - K. E. Rayle1 - S. E. Sanders, Jr.1
1 - Department of Physics, The Citadel, 171 Moultrie Street,
Charleston, SC 29409, USA
2 - Guest Investigator, Dominion Astrophysical Observatory, Herzberg
Institute of Astrophysics, National Research Council of
Canada, 5071 W. Saanich Road, Victoria V9E 2E7 Canada
3 -
Departamento de Fisica,
Facultad de Ciencias Exactas y Tecnologia,
Universidad Nacional de Tucumán,
Av. Independencia 1800,
4000 San Miguel de Tucumán, Argentina
4 - Member of the Carrera del Investigador Científico, CONICET,
Consejo Nacional de Investigaciones Científicas y Técnicas de
la República Argentina
Received 26 February 2002 / Accepted 12 June 2002
Abstract
Effective temperatures and surface gravities for 48 main sequence band
B and A stars were found by matching optical region spectrophotometry and
H
profiles with the predictions of ATLAS9 solar composition model
atmospheres. When these values were compared with those found using
Strömgren uvby
photometry based on ATLAS6 model atmospheres,
we found a difference (photometry-spectrophotometry) of
K for 29
stars with 8000 K
10 050 K compared to 76
105 K
for 14 stars with 10 050 K
17 000 K. The surface
gravity scales are in agreement. These stars are sufficiently hot that
their effective temperatures and surface gravity determinations are unaffected
by discrepancies due to the choice of Mixing-Length or Canuto-Mazzitelli
convection theories.
Key words: stars: fundamental parameters - stars: early-type
Astronomers can determine the effective temperatures and surface gravities of
single main sequence band B and A stars by matching their optical region flux
distributions as measured spectrophotometrically and their observed H
profiles with the predictions of the best model atmospheres. When these
observations are not available, investigators have used photometric indices
calibrated by this method, e.g. for Strömgren uvby
photometry
the work of Moon & Dworetsky (1985), which has been updated by Napiwotzki et al. (1993). The errors are of order
200 K and
0.2 dex in the middle
B to early F star regime (Lemke 1989) (see Ribas et al. 1997 concerning which
values are better). Our current ability to calculate physically realistic
model atmospheres is the greatest in this region of the HR Diagram. These
calibrations are based mainly on model atmospheres used prior to 1992. In
the optical region, there can be small differences in the predicted fluxes
between ATLAS9 (Kurucz 1993) and the older ATLAS6 (Kurucz 1979) models due in
part to an improved treatment of line blanketing and to the use of opacity
distribution functions with different microturbulences. This paper to a
large extent investigates the effects of these differences.
In determining stellar effective temperatures and surface gravities, two basic concerns are the agreement of the predictions of the models with the observations as this is what many abundance workers use to select appropriate models and whether these results show systematic errors when one uses flux observations covering a much wider range of wavelengths. In this paper we are concerned mainly with the former. One can obtain infrared and perhaps ultraviolet fluxes and use the results of this study as a basis for determining effective temperatures via the infrared flux method. But for single and binary stars with sufficiently faint companions if there are no systematic errors in the model fluxes, our approach should yield as good results without the complications of additional sources of error.
The ATLAS9 code produces fully line blanketed LTE plane parallel model
atmospheres. From converged model atmospheres, one can calculate the fluxes
using ATLAS9 and the H
region using the synthetic spectrum code SYNTHE
(Kurucz & Avrett 1981). For comparison with observations the synthesized
spectra were convolved with the measured stellar rotational velocity and the
instrumental profile of the short camera of the coudé spectrograph of the
Dominion Astrophysical Observatory (DAO) 1.22-m telescope. Trends in recent
elemental abundance studies indicate
for main sequence band stars with temperatures greater than 10 250 K their
microturbulence is 0 km s-1, for those with temperatures between 10 250 and 9500 K 1 km s-1, and for those with temperatures less than 9500 K 2 km s-1 (Adelman 1999).
In this investigation, grids of ATLAS9 models
with effective temperature and surface gravity spacings of 500 K and 0.25 dex,
respectively, were employed. Additional models were calculated to confirm the
interpolated values. In general the greater the number of
spectrophotometric flux values, the better the resultant temperature
determination.
To assess the discrepancies of the effective temperatures and surface gravities
found with the algorithm of Napiwotzki et al. (1993) and those found by
comparison of fluxes and H
profiles with ATLAS9 model predictions, 48
stars with fluxes based on the Hayes-Latham (1975) calibration of Vega mainly
from the catalogs of Breger (1976) and Adelman et al. (1989) were studied.
The homogeneous uvby
values of Hauck & Mermilliod (1980) were
employed. The H
profiles were extracted from 20 Å mm-1
spectrograms obtained with either Reticon or CCD detectors at the Dominion
Astrophysical Observatory (DAO) and had a resolution of 0.6 Å (2 pixels).
The exposures were flat fielded with those of an incandescent lamp placed in
the Coudé mirror train as viewed through a filter to eliminate first order
light. A central stop removed light from the beam in the same manner as the
secondary mirror of the telescope. The spectra were rectified with the
interactive computer graphics program REDUCE (Hill et al. 1982).
A 3.5% correction (Gulliver et al. 1996) was applied for scattered
light along the dispersion direction.
The normalization of the H
observations is not without problems.
The continuum can be difficult to locate for late A and cooler stars and while
the sensitivity of the spectrograph at the DAO changes over the 200 Å interval
centered
on this Balmer line due to the high reflective coatings used in the Coudé
mirror train. In retrospect one might be able to improve somewhat the
normalization by the use of all of the observations from a single night,
especially if observations were made of a range of spectral types, rather than
processing each spectrum independently. This would necessitate some changes
in reduction software. Alternatively if such data becomes available one might
be able to use spectrophotometry having continuous wavelength coverage and a
resolution of a few Å to help the normalization process.
Star | HD | uvby![]() |
spectro. + | H![]() |
spectro. | reddening | ||
Name | number |
![]() |
log g |
![]() |
log g | [m/H] | source | E(b-y) |
![]() |
122 408 | 8085 | 3.84 | 8150 | 3.75 | 0.0 | APW | 0.00 |
95 Leo | 103 578 | 8331 | 4.14 | 8300 | 3.65 | 0.0 | APW | 0.01 |
![]() |
154 494 | 8361 | 3.95 | 8500 | 4.00 | 0.0 | DP | 0.01 |
HR 6410 | 156 164 | 8615 | 3.70 | 8500 | 4.00 | 0.0 | APW | 0.00 |
![]() |
106 591 | 8664 | 3.87 | 8650 | 4.10 | 0.0 | AP | 0.00 |
![]() |
125 162 | 8925 | 4.11 | 8750 | 4.00 | 0.0 | OKE | 0.02 |
8700 | 4.15 | -1.5 | ||||||
![]() |
216 677 | 8657 | 3.56 | 8750 | 3.50 | 0.0 | MOR | 0.00 |
68 Tau | 27 962 | 9025 | 3.95 | 9000 | 4.00 | 0.0 | LL | 0.00 |
8900 | 4.00 | 0.2 | ||||||
![]() |
89 021 | 8790 | 3.75 | 9000 | 3.75 | 0.0 | SPO | 0.00 |
9000 | 3.75 | 0.2 | ||||||
![]() |
1280 | 8968 | 3.87 | 9000 | 4.00 | 0.0 | APW | 0.00 |
![]() |
161 868 | 9388 | 4.09 | 9100 | 4.00 | 0.0 | APW | 0.02 |
![]() |
47 105 | 9277 | 3.51 | 9150 | 3.60 | 0.0 | TAY | 0.00 |
![]() |
198 001 | 9229 | 3.56 | 9200 | 3.50 | 0.0 | SPO | 0.00 |
![]() |
25 490 | 9226 | 3.93 | 9250 | 4.00 | 0.0 | MOR | 0.00 |
![]() |
97 633 | 9289 | 3.62 | 9250 | 3.60 | 0.0 | APW | 0.00 |
27 Lyn | 67 006 | 9320 | 3.77 | 9250 | 3.75 | 0.0 | A | 0.01 |
60 Leo | 95 608 | 9053 | 4.22 | 9250 | 4.25 | 0.0 | BVJ | 0.00 |
9250 | 4.25 | 0.5 | ||||||
![]() |
103 287 | 9361 | 3.79 | 9350 | 3.75 | 0.0 | APW | 0.00 |
![]() |
114 330 | 9407* | 3.87* | 9350 | 3.50 | 0.0 | SPO | 0.00 |
21 Lyn | 58 142 | 9601 | 3.74 | 9425 | 3.75 | 0.0 | AP | 0.00 |
HR 6127 | 148 330 | 9670 | 4.00 | 9500 | 3.80 | 0.0 | AP93 | 0.01 |
![]() |
177 724 | 9542 | 3.84 | 9500 | 3.90 | 0.0 | SPO | 0.01 |
o Peg | 214 994 | 9591 | 3.64 | 9525 | 3.70 | 0.0 | A | 0.00 |
![]() |
176 437 | 9674 | 2.67 | 9550 | 2.75 | 0.0 | SPO | 0.01 |
![]() |
95 418 | 9601 | 3.85 | 9600 | 3.80 | 0.0 | AP | 0.00 |
9600 | 3.80 | 0.2 | ||||||
HR 7086 | 174 262 | 9507 | 4.12 | 9600 | 4.20 | 0.0 | APW | 0.00 |
HR 5169 | 119 763 | 9639 | 4.12 | 9700 | 4.15 | 0.0 | APW | 0.00 |
![]() |
87 887 | 9862 | 3.54 | 9875 | 3.55 | 0.0 | MOR | 0.01 |
![]() |
123 299 | 9975 | 3.63 | 10 000 | 3.50 | 0.0 | A | 0.00 |
![]() |
213 320 | 10 188 | 3.94 | 10 100 | 3.85 | 0.0 | A | 0.00 |
29 Vul | 196 724 | 10 397 | 4.14 | 10 200 | 4.00 | 0.0 | WKH | 0.00 |
![]() |
192 907 | 10 341 | 3.64 | 10 250 | 3.75 | 0.0 | APW | 0.00 |
![]() |
193 432 | 10 311 | 3.86 | 10 250 | 4.00 | 0.0 | A | 0.00 |
21 Peg | 209 459 | 10 375 | 3.47 | 10 350 | 3.55 | 0.0 | AP | 0.01 |
14 Cyg | 185 872 | 10 953 | 4.11 | 10 750 | 3.55 | 0.0 | APW | 0.00 |
134 Tau | 38 899 | 10 928 | 4.01 | 10 750 | 4.10 | 0.0 | A | 0.00 |
5 Aqr | 198 667 | 11 288 | 3.37 | 11 125 | 3.55 | 0.0 | A | 0.01 |
![]() |
135 742 | 12 036 | 3.26 | 12 125 | 3.50 | 0.0 | KUB | 0.01 |
21 Aql | 179 761 | 13 029 | 3.44 | 13 000 | 3.60 | 0.0 | A | 0.05 |
![]() |
17 081 | 13 174 | 3.70 | 13 100 | 3.85 | 0.0 | A | 0.01 |
HR 2154 | 41 692 | 14 330 | 3.21 | 14 500 | 3.50 | 0.0 | A | 0.02 |
![]() |
147 394 | 15 022 | 3.93 | 15 000 | 4.10 | 0.0 | A | 0.02 |
![]() |
11 415 | 15 290 | 3.85 | 15 125 | 3.55 | 0.0 | SPO | 0.02 |
![]() |
32 630 | 16 887 | 4.08 | 16 375 | 4.10 | 0.0 | SPO | 0.00 |
![]() |
120 315 | 17 319 | 4.31 | 16 900 | 4.30 | 0.0 | AP | 0.00 |
![]() |
886 | 21 482 | 3.92 | 21 250 | 4.00 | 0.0 | A | 0.00 |
1 Cas | 218 376 | 27 334 | 4.10 | 29 000 | 4.00 | 0.0 | A | 0.17 |
10 Lac | 214 680 | 32 845 | 4.61 | 33 000 | 4.40 | 0.0 | KUB | 0.06 |
![]() |
Figure 1:
The spectrophotometric fluxes for ![]() ![]() ![]() |
Open with DEXTER |
![]() |
Figure 2:
The synthesized spectrum of ![]() ![]() ![]() ![]() |
Open with DEXTER |
As most spectrophotometers capable of determining high quality stellar
fluxes in the optical region were retired from service about twenty years ago,
the candidate stars for H
observation were those whose values were
cataloged and could be observed from the DAO in Victoria. Additional selection
criteria were that the spectrophotometric wavelength range must span the
Balmer jump and that Strömgren indices derived from the spectrophotometry
were in good accord with those values directly observed. The reddening,
if any, was deduced using the computer program of Napiwotzki et al. (1993)
and is uncertain to
0.005 mag. If positive and would result in an
observable change in the flux distribution, the spectrophotometric values were
dereddened using those of Schild (1977). The information content of
the spectrophotometric values is greater than that of the photometric values.
![]() |
Figure 3:
The synthesized spectrum of ![]() ![]() ![]() ![]() |
Open with DEXTER |
In this study we also wanted to avoid studying stars for which uncertainties
in convection theory have observable effects on the fluxes and Hprofiles. Smalley & Kupka (1997) argued that the turbulent convection theory
of Canuto & Mazzitelli (1991, 1992) should be more realistic than
Mixing-Length theory (Castelli et al. 1997). Kupka (private
communication) supplied the necessary subroutine for
Canuto-Mazzitelli convection in ATLAS9. Smalley & Kupka (1997) indicate the
discrepancies in effective temperatures and surface gravities between these
theories.
As it would be useful to know where these two theories predict observable
discrepancies, we found the last stellar models which exhibit minimal
differences (less than 1%) in the optical region fluxes and H
profiles as one proceeds towards cooler temperatures. These models had the
fine solar abundance opacity distribution
function, a microturbulence of 2 km s-1, and 64 depths converged usually
to better than 1% in flux and in flux derivative. The convergence
properties of the models with Canuto & Mazzitelli convection are often nicer
than those for Mixing-Length theory. The synthetic spectra whose resolution
is 500 000 were broadened by the instrumental profile of the DAO long camera
(Gulliver & Hill 1990). Our comparisons were made by making plots of the
H
profiles and flux distributions that utilized most of the dimensions
of letter sized pages. Initially we used a grid of models with a 500 K
spacing in effective temperature. As the comparisons proceeded we reduced the
spacing to find the onset of differences to
25 K. Thus the coolest
models with no significant differences occur at 7725 K for
,
7850 K for
,
8000 K for
,
8150 K for
,
8300 K for
,
and 8475 K for
.
These boundary values
are likely to depend on
microturbulence and metallicity, variables not investigated at this time.
The stars studied in this paper are on the hot side of this boundary.
Table 1 contains the determinations of the temperatures and surface gravities
along with the HD number and another identification, the metallicities (with
being solar), the sources of the spectrophotometry, and the reddenings
for 48 stars whose effective temperatures are
8000 K. The values
longward of H
were given lower weights than other values owing to the
authors' previous difficulties in obtaining simultaneous fits to them and
other spectrophotometric values (see, e.g., Adelman et al. 1999). Figure 1
shows as an example the best fit for
Cap. For most stars the
discrepancies are less between the observations and the best theoretical fits.
But in the Paschen continuum the spectrophotometric values of
Lib,
Her, and
Cas produced only a fair fit to the predicted
fluxes of the models. As the photometric values of
and
for
Vir were determined without the use of a measured
value,
they are not used for comparison with the spectrophotometrically derived
values. For 22 Dra which has spectrophotometry by Schild et al. (1971), we
found
K and
,
but this star lacks published
uvby
values. For most stars the synthesized H
regions
match the observations quite well, especially the Balmer line, but not
perfectly. Three representative examples are shown in Figs. 2-4 with
the thicker lines being the synthesized spectra and the thinner lines the
observations. For
Peg, the He I line
4388 is not satisfactorially synthesized and for
Gem the metal
lines in the synthesized spectrum are slightly too deep. For 10 Lac, the
worst case in fitting, the Balmer line profile fit was to the H
line
wings with the observed core being deeper, especially in the central 5 Å, by
about 5%, which may represent non-LTE effects while for 60 Leo
models with a 4 km s-1 microturbulence were used consistent with the
analysis by Adelman et al. (1999).
![]() |
Figure 4:
The synthesized spectrum of ![]() ![]() ![]() ![]() |
Open with DEXTER |
For 48 stars the average difference in
(photometric minus
spectrophotometric-H
value) is 29
293 K.
For those stars with 8000 K
¹ K, we find a
difference of 25
118 K and for stars with 10 050 K
17 000 K, 76
105 K. This suggests a slight decrease of the derived
temperature scale which is not unexpected as it reflects an
increase in the metal line opacity for ATLAS9 relative to ATLAS6 models.
Figure 5 shows the difference (
(K)) between the effective
temperatures as derived using photometry and spectrophotometry as a
function of the photometric temperature (
(
)
(K)).
The mean difference in
(photometric minus spectrophotometric-H
value) for 47 stars is
dex. The scatter is similar to the
uncertainty found by Lemke (1989) 0.20 dex. But two stars, 95 Leo and 14 Cyg,
have
values with
rather large discrepancies, 0.49 dex and 0.56 dex, respectively. Together
they have a 0.02 dex effect on the average. Figure 6 shows the difference
(
(dex)) between the surface gravity as derived using photometry
and from spectrophotometry and the H
profile as function of the
photometric temperature
(uvby
)
(K). It is best described
as a scatter diagram. Since the discrepancies in the temperatures are small
relative to the derived temperatures, the basic agreement of the surface
gravity scales is not unexpected.
In Table 2 we compare the calibration or "known'' temperatures that Napiwotzki
et al. (1993) used from Code et al. (1976), Beeckmans (1977), and Malagini et al. (1986) with those from their uvby
calibation and our values.
Smalley & Dworestsky (1995) re-evaluated the fundamental values of Code et al. (1976) using more recent flux measurements and found no significant
changes. In general our results agreed better with the photometric values
than the calibrator values and exhibit agreement with the calibrator similar
to that of the photometric values. However this comparison can be done only
for a few calibrators. How the nonunformity of the
spectrophotometric data affects these results is unclear and is a possible
source of some differences as the data quality is not uniform among the
spectrophotometric sources.
![]() |
|||
Star | "known'' | uvby![]() |
spectro.+H![]() |
![]() |
9240 | 9277 | 9150 |
![]() |
9170 | 9601 | 9600 |
![]() |
9950 | 10 311 | 10 250 |
134 Tau | 10 790 | 10 928 | 10 750 |
![]() |
12 820 | 13 174 | 13 100 |
![]() |
17 580 | 16 887 | 16 375 |
![]() |
Figure 5:
The differences (
![]() ![]() ![]() ![]() |
Open with DEXTER |
![]() |
Figure 6:
The differences (
![]() ![]() ![]() ![]() |
Open with DEXTER |
Acknowledgements
SJA's contribution to this paper was support in part by grants from The Citadel Foundation as was that of KER. Some Hobservations at the DAO were made by Frank Younger and Charles Perry. We thank F. Kupka for his implementation of Canuto-Mazzitelli convection in ATLAS9.