Issue |
A&A
Volume 611, March 2018
|
|
---|---|---|
Article Number | A9 | |
Number of page(s) | 6 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/201731742 | |
Published online | 14 March 2018 |
High-latitude dust clouds LDN 183 and LDN 169: distances and extinctions★
1
Institute of Theoretical Physics and Astronomy, Vilnius University,
Saulėtekio al. 3,
Vilnius
10257, Lithuania
e-mail: vytautas.straizys@tfai.vu.lt
2
Vatican Observatory Research Group, Steward Observatory,
Tucson,
AZ
85721, USA
3
Jesuit University Ignatianum,
Cracow, Poland
4
INAF Astronomical Observatory of Padova,
36012
Asiago,
VI, Italy
5
SOFIA Science Center, USRA, NASA Ames Research Center,
Moffett Field,
CA
94035, USA
Received:
8
August
2017
Accepted:
11
December
2017
Interstellar extinction is investigated in a 2°× 2° area containing the dust and molecular clouds LDN 183 (MBM 37) and LDN 169, which are located at RA = 15h 54m, Dec = − 3°. The study is based on a photometric classification in spectral and luminosity classes of 782 stars selected from the catalogs of 1299 stars down to V = 20 mag observed in the Vilnius seven-color system. For control, the MK types for the 18 brightest stars with V between 8.5 and 12.8 mag were determined spectroscopically. For 14 stars, located closer than 200 pc, distances were calculated from trigonometric parallaxes taken from the Gaia Data Release 1. For about 70% of the observed stars, two-dimensional spectral types, interstellar extinctions AV, and distances were determined. Using 57 stars closer than 200 pc, we estimate that the front edge of the clouds begins at 105 ± 8 pc. The extinction layer in the vicinities of the clouds can be about 20 pc thick. In the outer parts of the clouds and between the clouds, the extinction is 0.5–2.0 mag. Behind the Serpens/Libra clouds, the extinction range does not increase; this means that the dust layer at 105 pc is a single extinction source.
Key words: stars: fundamental parameters / ISM: clouds / dust, extinction / ISM: individual objects: LDN 169 / ISM: individual objects: LDN 183 (MBM 37)
Full Tables 1 and 2 are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/611/A9
© ESO 2018
1 Introduction
Mapping distances and the geometry of local interstellar clouds is an important tool for understanding the evolution of interstellar matter in the solar vicinity. The data on their density and the extinction properties, together with polarization and dust emission, provide critical constraints on the dust grain sizes and composition.
The dust cloud LDN 183 (Lynds 1962) and the related molecular cloud MBM 37 (Magnani et al. 1985) are part of the high-latitude complex of interconnected dust and molecular clouds that also includes the clouds LDN 169, LDN 134 (MBM 36), LDN 1780 (MBM 33), and MBM 38, which are located at the border between the Serpens Caput and Libra constellations at the galactic latitude b ~ +37°. It is thought that these clouds are related to the surface of Loop I of the Local Bubble (Franco 1989a; Lallement et al. 2003). The cloud LDN 183 and the nearby LDN 134 belong to a group of starless clouds with very dense and low-temperature cores with prestellar condensations and the coreshine phenomenon (Pagani et al. 2003, 2004; Steinacker et al. 2010; Juvela et al. 2012). There, dust temperatures are close to 7 K, and the growth of dust particles due to the forming ice mantles leads to strong gas depletion in the central parts of the cloud (Pagani et al. 2005). In the spectra of the most reddened stars of the background, Whittet et al. (2013) have detected bands of silicate dust and ices of H2O, CO, and CO2. Their near-infrared polarizations have been measured by Clemens (2012) and Jones et al. (2015).
It was evident that these clouds are relatively close to the Sun because their darkest areas contain very few foreground stars. Different methods have been tried to determine distances to these clouds. Mattila (1979) for LDN 134 applied the method of star counts and polarization of stars projected on the cloud, obtaining a distance of 100 ± 50 pc. For the same cloud, Tomita et al. (1979) applied the increase in extinction AV with distance for the surrounding stars with photoelectric B, V photometry and MK spectral types, as well as the foreground star counts: the distance to the cloud of ~200 pc was accepted. The AV vs. distance diagram was also used by Snell (1981), who obtained an extinction increase at 160 pc. (1989a, 1989b) applied uvby and Hβ photometry of 33 A and F stars in an area covering 8° × 8° that included vicinities of several clouds in the Ser/Lib complex. A steep increase in extinction at 110 ± 10 pc has been detected, which was accepted as the distance of the complex. Černis & Straižys (1992) published the results of photometry and classification in the Vilnius seven-color system for 14 stars projected on the cloud LDN 134. However, because of the small limiting magnitude, only one reddened star at 140 pc was found to be a useful indicator of the cloud distance. It defines only the largest possible distance to the cloud.
Recently, Green et al. (2014) developed a statistical method for determining distances and reddenings for stars observed in the broad-band five-color system grizy of the Pan-STARRS 1 survey. Applying this method, Schlafly et al. (2014) estimated distances to dust clouds in the sky area covered by the Pan-STARRS photometry, which also includes the clouds in the Ser/Lib complex. The following distances were obtained: 105 pc for LDN 134, 121 pc for LDN 183, 77 pc for MBM 38, and 88 pc for LDN 1780. Distance uncertainties for LDN 134 and LDN 183 of 7% to 9% are reported.
The present investigation aims to identify more stars in the distance range from 80 to 120 pc of various spectral types (including K and M dwarfs), which could be used for a better estimation of the distance to the Ser/Lib dust cloud complex. For this task, we applied the Vilnius seven-color photometric system, which gives photometric two-dimensional spectral types, extinctions, and distances for stars covering a wide range of spectral classes. This system is in use for the classification of stars in the direction of open clusters, associations, and dark clouds in the presence of variable interstellar reddening (see, e.g., Straižys et al. 2013, 2014a, 2014b, 2015, 2016a, 2016b). Another task is obtaining interstellar extinctions for stars located behind the cloud complex. Combining their extinctions and polarizations will allow investigating dust grain properties in areas of different dust density. With the Gaia DR1 parallaxes, distances to the stars of up to ~500 pc are now much more reliable.
2 Photometric data and spectral types
The investigated 2° × 2° area (Fig. 1) is centered on the cloud LDN 183 at RA (J2000) = 15h 54m, Dec J2000)= –03° 00′. The area also covers the nearby cloud LDN 169. CCD exposures with the filters of the Vilnius seven-color photometric system were obtained with the Maksutov-type 35/51 cm telescope of the Molėtai Observatory in Lithuania. The VersArray 1300B camera (Princeton Instruments) contains a back-illuminated UV-enhanced chip with 1340 × 1300 pixels of 20 × 20 μm with liquid nitrogen cooling (Zdanavičius & Zdanavičius 2003; Zdanavičius et al. 2012). The medium-band Vilnius system UPXYZVS with the mean wavelengths at 345, 374, 405, 466, 516, 544, and 656 nm is described in the Straižys (1992) monograph. Since the field of the CCD camera is 1.26° × 1.22°, the whole 2° × 2° area has been covered by four partly overlapping fields. At the same time, tie-in exposures of the area around the nearby cloud LDN 134 were obtained. As we described above, this area contains 14 stars with magnitudes and colors in the same photometric system measured photoelectrically (Černis & Straižys 1992). These stars were used as zero-point standards for the LDN 183 area. The instrumental magnitudes and colors were transformed to the standard Vilnius system using the linear color equations obtained by observations of the open cluster M 67, where high-precision standards are available (Laugalys et al. 2004). The exposures were processed with the IRAF code in the aperture mode.
The final catalog of magnitudes, color indices, and their uncertainties for 830 stars is given in Table 1. Its limiting magnitude V is closeto 15. The uncertainties take into account the signal-to-noise ratios and the errors of the transformation into the standard system. At V = 14 mag, the uncertainties for color indices Y –V, Z–V, and V –S are mostly 0.015–0.020 mag; for the violet index X–V . they are 0.020–0.035 mag; for the index P–V, they are 0.035–0.055 mag; and for the index U–V, they are 0.060–0.095 mag. A relatively low accuracy of photometry at the limiting magnitude, especially in the ultraviolet, was related with a large zenith distance of the area and a bright sky background. For stars fainter than V ≈ 14.5 mag, no two-dimensional spectral types are provided.
Additionally, seven smaller areas (12′ × 12′) in the northern part of LDN 183 were observed in the Vilnius system with the 1.8 m VATT telescope on Mt. Graham, Arizona, using a STA0500A CCD camera with a 4k × 4k chip; the pixel sizes are 15 × 15 μm, the scale is 0.2′′/pixel. The positions of these areas are shown in Fig. 1: six partly overlapping areas form an irregular rectangle, and the seventh is a separate square at 15:52:35, –03:01. These areas were chosen at the edge of the dark cloud to find more stars that are immersed in the front side of the cloud, but not very deeply, to be brighter than the limiting magnitude (V = 20). The VATT areas were tied-in to photoelectric standards inLDN 134 (Černis & Straižys 1992) and the area aroundthe globular cluster M 12 (Zdanavičius et al. 1989). Table 2 contains the catalog of magnitudes,colors, and their uncertainties for 483 stars with V magnitudes between 14 and 20 measured in all seven VATT areas. To avoid confused identifications, we added 1000 to the running numbers of stars in Table 2. The uncertainties of magnitudes and colors down to V ≈ 18 mag are lower than ±0.03 mag. For most of the fainter stars, except for K and M stars, no two-dimensional spectral types are provided.
For the two-dimensional classification of stars measured in the Vilnius system, two codes were applied. The first is the COMPAR code we described in our previous publications (e.g., Straižys et al. 2013). The method uses matching of 14 different interstellar reddening-free Q-parameters of a program star to those of about 9500 standard stars of various spectral and luminosity classes, metallicities, and peculiarities. The matching of Q-parameters leads to a selection of some standard stars with a set of Qs most similar to those of the program star. The classification accuracy is characterized by the value of σQ, the mean square difference of Q-parameters of the program star, and the standard star.
The second code used for the classification of stars, called NORMA, has been developed recently by Zdanavičius (in prep.). It uses a set of 808 standards formed from the intrinsic color indices of the Vilnius system for different spectral and luminosity classes from Straižys (1992). First, for each program star, virtual sets of color excesses EU−V, EP−V, EX−V, EY −V, EZ−V, and EV −S in relation to each of the 808 intrinsic standards are calculated. After rejection of negative values, these six “excesses” for each standard are transformed into EY −V using color-excess ratios corresponding to the normal interstellar extinction law. After this, the six values of EY −V with respect to each standard are averaged and their dispersion calculated. The standard, for which all the six values of EY −V show the minimal dispersion, is accepted as the best analog of the program star. Spectral class, luminosity class, color excess, and absolute magnitude of this standard are ascribed to the considered program star. The classification accuracy is characterized by the value of σEY −V, the mean square difference of six color excess values. For faint stars of spectral classes K or M, the index U–V, and sometimes P–V, are absent. In these cases, only five or four values of the excesses EY −V are used to estimate the dispersion. When the dispersion of EY −V is too high (σ > 0.03 mag) for all standards, the star is considered to be a binary with components of different spectral classes or a peculiar star.
Both methods have their advantages and limitations. The advantage of the COMPAR method is that it enables identifying stars with various types of peculiarity (metal deficient, Am, Ap, white dwarfs, Hα emission stars, etc.). The advantage of the NORMA method is that it considerably better represents stars with different spectral and luminosity classes of the solar chemical composition. The spectral classes and luminosities given by the two methods usually coincide or differ by 1–2 spectral subclasses and one luminosity class. The priority is given to the method that gives a better classification accuracy.
In the investigated area, the normal interstellar extinction law, which for early-type stars gives the standard value of RBV = 3.15, was accepted. In the broad-band BV system (due to the band-width effect) for K-type giants, this standard value corresponds to RBV = 3.5–3.6 (Straižys 1992, Table 11). In the medium-band Vilnius system, the band-width effect is much smaller, but it is taken into account when calculating the ratios of color excesses and Q-parameters. We checked the interstellar extinction law in the area determining the slope of the reddening line of red giants in the J–H vs. H–Ks diagram, EJ–H/EH–Ks. It was found to be close to 1.8–1.9, which corresponds to the normal extinction law (Straižys & Laugalys 2008).
In some cases, the photometric separation of late K- and early M-type stars was problematic. In these cases, we used the two-color diagram J–Ks vs. W1–W2, proposed by Koposov et al. (2015), to identify M dwarfs and M giants. Here J and Ks are 2MASS magnitudes, and W1 and W2 are WISE magnitudes.
The classification accuracy depends on the errors of the observed color indices. If the errors of the colors in the visible part of the spectrum are less than 0.03 mag and in the ultraviolet part are less than 0.04 mag, the accuracy of spectral class is of the order of ~2 decimal subclasses. The accuracy of luminosities for B8-A-F-G5 stars of luminosity classes V–IV–III is about one luminosity class. For K-type stars, the classification accuracy is higher – about 0.5 of spectral subclass and 0.5 of luminosity class. K- and M-type stars can be classified even without the ultraviolet U and P magnitudes,thus the errors of color indices U–V and P–V are not important for the classification of late-type stars.
The relation between luminosity classes and absolute magnitudes (see the hipparcos and Gaia HR diagrams given by (1995, 1997) and Gaia Collaboration (2016)) shows that the maximum (or 3σ) error of MV is about ±0.5 mag for the majority of A, F, and G stars. The MV error for K-stars of luminosity classes V, IV–V, and IV is of the same order. However, for K stars of luminosity classes III–IV and III, the accuracy of MV is lower (3σ ≈ 1.0 mag) because of a steep rise of the sequence of giants in the HR diagram.
Two-dimensional photometric spectral types for about 70% of the observed stars are given in Tables 1 and Table 2. To designate spectral classes, we use lower-case letters to emphasize that they are obtained from photometric data. The stars with oblong or multiple images within 6′′ from the central object in the Maksutov exposures and within 1.5′′ in the VATT exposures were excluded from classification: these stars have the notes “bin” in the spectral type column of Tables 1 and 2. For the stars classified as peculiar and stars with σQ > 0.03, spectral types are not given. In the VATT areas with deep photometry, about 20–30% of the objects are found to be metal-deficient stars. To differentiate metal-deficient dwarfs and giants, the reddening-free diagrams QUXY vs. QUY V and QUPY vs. QXZS were used (Bartkevičius & Straižys 1970; Straižys 1992). It seems that the majority of stars that in Tables 1 and 2 are marked as “md:” belong to subdwarfs. Some objects were found to be white dwarfs and galaxies. White dwarfs were identified by the values of the parameter QUPY V < 0.0 (Straižys 1992), and galaxies were identified by the values of the color index J − W1 > 1.7 (Kovács & Szapudi 2015). The published catalogs of faint galaxies (e.g., Kovács & Szapudi 2015; Krakowski et al. 2016) usually avoid the areas with dust clouds.
Tables 1 and 2 contain 14 stars in common. Their V magnitudes coincide within ±0.05 mag, except for the stars 433 and 434 in Table 1 (1448 and 1451 in Table 2). We suspect that these stars appear brighter in the Maksutov exposures because of the influence of a nearby galaxy. The color indices U–V, P–V, and V –S coincide within ±0.06 mag and the indices X–V, Y –V, and Z–V within ±0.04 mag. These differences are in agreement with the expected uncertainties listed in Section 2.
To verify the results of photometric classification, 18 stars brighter than V = 12.8 mag were observed spectroscopically with the 1.22 m telescope at the Asiago Observatory and the VATT 1.8 m telescope on Mt. Graham. The Asiago spectra cover the range of wavelengths 3487–5885 and have a resolution of 1.17 /pixel. The VATT spectra cover the range 3730–6800 and have a resolution of 3 per two pixels. The VATT spectra were classified visually by comparing them with MK standards of similar resolution. The Asiago spectra were classified by applying the computer program MKCLASS by Gray & Corbally (2014). The results of the classification are given in Table 3, together with the results of our photometric classification. In most cases, the differences between the spectroscopic and photometricspectral types do not exceed 1–2 spectral subclasses and half a luminosity class. Stars 41, 75, and 88 are the close visual binaries WDS J15501-0311AB, J15504-0303AB, and J15505-0215AB, respectively. Their spectral classification can be affected by the secondary components.
The Gaia Data Release 1 (Gaia Collaboration 2016) in our 2° × 2° area lists 79 stars with parallaxes. We have selected 14 stars with d < 200 pc whose distance uncertainties are lower than ±10 pc.
![]() |
Fig. 1 Areas covered by observations in the Vilnius photometric system. The whole 2° × 2° area wasobserved with the Maksutov telescope of the Molėtai Observatory, and the seven 12′ × 12′ areas were observed with the VATT telescope. Six of them form a black irregular rectangle and the seventh is a separate black square. Two heavily reddened red giants, discussed in Section 4, are plotted as the white dots. The cross designates the position of the dust peak, according to Pagani et al. (2005). The background is a map of the thermal dust emission at 857 GHz (350 μm) measured by the Planck space mission and taken from the SkyView virtual observatory. |
First ten lines of the catalog of 830 stars containing the results of CCD photometry with the Maksutov telescope of the Molėtai Observatory and their photometric spectral types.
Ten lines of the catalog of 483 stars containing the results of CCD photometry with the VATT telescope and their photometric spectral types.
Stars with spectral types based on the VATT and Asiago spectra.
3 Interstellar extinctions and distances
For 534 stars from Table 1 and for 248 stars from Table 2 with spectral and luminosity classes, we calculated the color excess EY −V, interstellar extinction AV, and distance d (in pc) with the following equations:
(1)
(2)
(3)
where V and Y –V are the observed magnitudes and color indices. The intrinsic color indices (Y –V )0 and absolute magnitudes MV for a given spectral type are adopted from Straižys (1992). The coefficient 4.16 in Eq. (2) corresponds to the normal extinction law. The distance errors are between –0.93 d and +1.08 d for B8-A-F-G5 V–III stars and G8-K dwarfs, and between − 0.86 d and +1.16 d for G8-K5 stars of luminosities III and III-IV. The typical extinction error AV is σ ≈ ±0.10 mag. This error mostly depends on the uncertainty of the spectral classes, while the error of the luminosity class is less important. For stars close to the limiting magnitude, the accuracy of the observed magnitudes and colors decreases, and this leads to uncertain classification, extinctions, and distances.
4 Discussion
The plot of the extinction AV vs. distance for 57 stars up to 200 pc, classified in the Vilnius system, is shown in Fig. 2. Since most stars are brighter than V = 14 mag, their classification, extinctions, and distances are reliable. Stars with photometric distances are plotted as dots, and those with distances calculated from Gaia parallaxes are plotted as open circles with the error crosses. The error crosses are also shown for four stars with photometric distances, lying on the rising part of the extinction. To avoid overcrowding, the error crosses for other stars with photometric distances are not shown. Instead, the error bars of distance (in red) for photometric distances at 100 and 180 pc are shown at the top of the figure. The photometric distance errors of dots at 100 pc are about ±8–10 pc, that is, they are comparable to the Gaia DR1 distance errors. The broken curve in Fig. 2 shows the expected run of the extinction with distance in the Galactic diffuse dust layer calculated with the exponential Parenago (1945) equation for the Galactic latitude of LDN 183 (b = 36.75°) and the extinction coefficient a0 = 1.25 mag kpc−1.
Figure 2 shows that between the distances 100 and 130 pc, a steep increase of the extinction takes place. The mean distance to the three reddened K dwarfs 100, 424, and 753, nearest to the Sun, is 104.7 pc. This distance is within their error bars. Thus, we will accept that the front edge of the cloud is at 105 ± 8 pc distance.
Figure 2 shows a tendency for the increase in extinction between 100 and 130 pc to be slightly slanted. The run of the extinction can be approximated by a line starting from the Parenago curve at d = 105 pc and ending at star 541 (d = 132 pc, AV = 1.54). This would mean that the dust layer has a depth of about 20 pc. This depth value is in agreement with the observable size of the Ser/Lib cloud complex, which covers not less than 10° × 10°. However, the central dense core of LDN 183 with a diameter of about 15′ has a subparsec size.
Figures 3 and 4 show the extinction vs. distance plots for the Maksutov and VATT stars up to d = 5 kpc. They both indicate that behind the cloud, located close to 110 pc, the extinction remains more or less at the same level, covering the values of AV between 0.5 mag and 2.0–2.5 mag. The stars with higher extinctions are not observed due to limiting magnitude effects, shown by the limiting magnitude curves for K0 giants of magnitudes V = 14 and 15 in Figure 3 and for G0, G5, and K0 main-sequence stars of magnitudes V = 19 in Fig. 4. These types of stars are most frequent among the distant stars in Figure 3 and 4, respectively. The maximum values of the extinction in Figure 3 and 4 represent only the outer edges of the dense clouds LDN 183 and LDN 169, and the space around them.
The LDN 183 cloud in its central part is so dense that medium-band photometry in the blue and ultraviolet up to V = 20 mag does not allow observing and classifying stars that are located behind the cloud. Whittet et al. (2013) from infrared spectra, obtained with the IRTF telescope at Mauna Kea and the Spitzer Space Telescope, determined spectral types for nine background G-K-M giants selected from the J–H vs. H–Ks diagram that are located close to the center of LDN 183. Two of these stars, AllWISE J155400.28-025032.3 (G8 III, Ks = 10.786) and J155420.44-025407.5 (K3 III, Ks = 7.910), exhibit AV values between 13 and 14 mag. In Fig. 1 these two stars are plotted as white dots. Pagani et al. (2004), applying photometry in the H and K passbands down to 21 mag, obtained AV up to ~30 mag. Even higher values of the extinction are estimated by (2003, 2004) from the absorption in the ISOCAM 7 μm maps. Juvela et al. (2002) reported an extinction value of AV ≈ 17 mag, which they estimated from the emission of dust at 200 μm.
![]() |
Fig. 2 Dependence of the extinction on distance for the investigated area up to d = 200 pc. Stars with photometric distances are plotted as dots and stars with Gaia distances as circles. The stars with Gaia distances and four numbered stars withphotometric distances on the rising part of the extinction are shown with the error crosses. The black broken curve designates the extinction rise with distance in the diffuse Galactic dust layer for b = +36.75° according to the exponential Parenago (1945) law. |
![]() |
Fig. 3 Dependence of the extinction on distance for the investigated area up to d = 5 kpc based on 534 stars observed with the Maksutov telescope down to V = 15 mag. The red broken curves show the effect of limiting magnitudes for K0 III stars of magnitudes 14 and 15. |
![]() |
Fig. 4 Dependence of the extinction on distance for the investigated area up to d = 5 kpc based on 248 stars observed with the VATT telescope with the magnitudes V from 12 to 20. The red broken curves show the effect of limiting magnitudes for G0 V, G5 V, and K0 V stars of V = 19 mag. |
5 Conclusions
We presented photometry in the Vilnius seven-color system for 1299 stars located within the 2° × 2° area in the direction of the high-latitude clouds LDN 183 and LDN 169. For 782 stars we determined spectral and luminosity classes, color excess, interstellar extinction AV, and distance. The results were applied to investigate interstellar extinction in the area and to determine the cloud distance by combining photometric extinctions and distances with the Gaia trigonometric parallaxes.
The investigation shows that the distance to the front edge of the clouds LDN 183 and LDN 169 is close to 105 ± 8 pc. This result is based on photometric extinctions and distances as well as on the Gaia parallaxes. This distance is in a good agreement with the results obtained by Franco (1989a) from Strömgren photometry and by Green et al. (2014) from the Pan-STARRS 1 survey. It is also possible (see Fig. Fig. 2) that the dust layer in the direction of the Ser/Lib cloud complex has a thickness of about 20 pc, in agreement with its surface extent. The extinction AV across this layer in the outer parts of the clouds and between the clouds is on the order of 0.5–2.0 mag.
Acknowledgments
This research has made use of the SIMBAD database, operated at the CDS, Strasbourg, France, the SkyView Virtual Observatory of NASA, and the NASA/IPAC Extragalactic Database (NED) operated by the JPL at California Institute of Technology. We have also used the data from DR1 of the European Space Agency (ESA) mission Gaia, and the products from the 2MASS project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the NASA and NSF, and from the NeoWISE project of the JPL of California Institute of Technology, funded by the Planetary Science Division of NASA. Preliminary results of this investigation were presented at the AAS Meeting No. 229 (Boyle et al. 2017). We are grateful to Vygandas Laugalys for his help in observations and reductions.
References
- Bartkevičius, A., & Straižys, V. 1970, Bull. Vilnius Obs., 30, 16 [NASA ADS] [Google Scholar]
- Boyle, R. P., Janusz, R., Straižys, V., et al. 2017, AAS Meeting, 229, 142.10 [Google Scholar]
- Černis, K., & Straižys, V. 1992, Baltic Astron., 1, 163 [NASA ADS] [Google Scholar]
- Clemens, D. P. 2012, ApJ, 748, 18 [NASA ADS] [CrossRef] [Google Scholar]
- Franco, G. A. P. 1989a, A&A, 223, 313 [NASA ADS] [Google Scholar]
- Franco, G. A. P. 1989b, A&AS, 80, 127 [NASA ADS] [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2016, A&A, 595, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Giclas, A. L., Slaughter, C. D., & Burnham, R. 1959, Lowell Obs. Bull., 4, 136 [NASA ADS] [Google Scholar]
- Gray, R. O., & Corbally, C. J. 2014, AJ, 147, 80 [NASA ADS] [CrossRef] [Google Scholar]
- Green, G. M., Schlafly, E. F., Finkbeiner, D. P., et al. 2014, ApJ, 783, 114 [NASA ADS] [CrossRef] [Google Scholar]
- Heckmann, O. 1975, AGK3 Star Catalogue of Positions and Proper Motions North of −2.5 deg Declination (Hamburg-Bergedorf: Hamburger Sternwarte) [Google Scholar]
- Houk, N., & Swift, C. 1999, Michigan Catalogue of Two-Dimensional Spectral Types for the HD Stars (Ann Arbor, MI: University of Michigan), 5 [Google Scholar]
- Jones, T. J., Bagley, M., Krejny, M., et al. 2015, AJ, 149, 31 [NASA ADS] [CrossRef] [Google Scholar]
- Juvela, M., Mattila, K., Lehtinen, K., et al. 2002, A&A, 382, 583 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Juvela, M., Ristorcelli, I., Pagani, L., et al. 2012, A&A, 541, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Koposov, S. E., Belokurov, V., Zucker, D. B., et al. 2015, MNRAS, 446, 3110 [NASA ADS] [CrossRef] [Google Scholar]
- Kovács, A., & Szapudi, I. 2015, MNRAS, 448, 1305 [NASA ADS] [CrossRef] [Google Scholar]
- Krakowski, T., Malek, K., Bilicki, M., et al. 2016, A&A, 596, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lallement, R., Welsh, B. Y., Vergely, J. L., et al. 2003, A&A, 411, 447 [EDP Sciences] [Google Scholar]
- Laugalys, V., Kazlauskas, A., Boyle, R. P., et al. 2004, Baltic Astron., 13, 1 [NASA ADS] [Google Scholar]
- Lepine, S., & Gaidos, E. 2011, AJ, 142, 138 [NASA ADS] [CrossRef] [Google Scholar]
- Lynds, B. T. 1962, ApJS, 7, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Magnani, L., Blitz, L., & Mundy, L. 1985, ApJ, 295, 402 [NASA ADS] [CrossRef] [Google Scholar]
- Mattila, K. 1979, A&A, 78, 253 [NASA ADS] [Google Scholar]
- Pagani, L., Lagache, G., Bacmann, A., et al. 2003, A&A, 406, L59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pagani, L., Bacmann, A., Motte, F., et al. 2004, A&A, 417, 605 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pagani, L., Pardo, J.-R., Apponi, A. J., et al. 2005, A&A, 429, 181 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Parenago, P. P. 1945, AZh, 22, 129 [Google Scholar]
- Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1995, A&A, 304, 69 [NASA ADS] [Google Scholar]
- Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 323, L49 [NASA ADS] [Google Scholar]
- Schlafly, E. F., Green, G., Finkbeiner, D. P., et al. 2014, ApJ, 786, 29 [NASA ADS] [CrossRef] [Google Scholar]
- Snell, R. L. 1981, ApJS, 45, 121 [NASA ADS] [CrossRef] [Google Scholar]
- Steinacker, J., Pagani, L., Bacmann, A., & Guieu, S. 2010, A&A, 511, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stephenson, C. B. 1986, AJ, 91, 144 [NASA ADS] [CrossRef] [Google Scholar]
- Straižys, V. 1992, Multicolor Stellar Photometry (Tucson, AZ: Pachart Publishing House), available at http://www.itpa.lt/MulticolorStellarPhotometry/ [Google Scholar]
- Straižys, V., & Laugalys, V. 2008, Baltic Astron., 17, 253 [NASA ADS] [Google Scholar]
- Straižys, V., Boyle, R. P., Janusz, R., et al. 2013, A&A, 554, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Straižys, V., Maskoliūnas, M., Boyle, R. P., et al. 2014a, MNRAS, 438, 1848 [CrossRef] [Google Scholar]
- Straižys, V., Milašius, K., Boyle, R. P., et al. 2014b, AJ, 148, 89 [NASA ADS] [CrossRef] [Google Scholar]
- Straižys, V., Vrba, F. J., Boyle, R. P., et al. 2015, AJ, 149, 161 [NASA ADS] [CrossRef] [Google Scholar]
- Straižys, V., Čepas, V., Boyle, R. P., et al. 2016a, A&A, 585, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Straižys, V., Čepas, V., Boyle, R. P., et al. 2016b, A&A, 590, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Tomita, Y., Saito, T., & Ohtani, H. 1979, PASJ, 31, 407 [NASA ADS] [Google Scholar]
- Upgren, A. R., & Staron, R. T. 1969, ApJ, 157, 327 [NASA ADS] [CrossRef] [Google Scholar]
- Whittet, D. C. B., Poteet, C. A., Chiar, J. E., et al. 2013, ApJ, 774, 102 [NASA ADS] [CrossRef] [Google Scholar]
- Zdanavičius, J., & Zdanavičius, K. 2003, Baltic Astron., 12, 642 [NASA ADS] [Google Scholar]
- Zdanavičius, K., Meištas, E., & Vansevičius, V. 1989, Bull. Vilnius Obs., 84, 3 [NASA ADS] [Google Scholar]
- Zdanavičius, K., Straižys, V., Zdanavičius, J., et al. 2012, A&A, 544, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
All Tables
First ten lines of the catalog of 830 stars containing the results of CCD photometry with the Maksutov telescope of the Molėtai Observatory and their photometric spectral types.
Ten lines of the catalog of 483 stars containing the results of CCD photometry with the VATT telescope and their photometric spectral types.
All Figures
![]() |
Fig. 1 Areas covered by observations in the Vilnius photometric system. The whole 2° × 2° area wasobserved with the Maksutov telescope of the Molėtai Observatory, and the seven 12′ × 12′ areas were observed with the VATT telescope. Six of them form a black irregular rectangle and the seventh is a separate black square. Two heavily reddened red giants, discussed in Section 4, are plotted as the white dots. The cross designates the position of the dust peak, according to Pagani et al. (2005). The background is a map of the thermal dust emission at 857 GHz (350 μm) measured by the Planck space mission and taken from the SkyView virtual observatory. |
In the text |
![]() |
Fig. 2 Dependence of the extinction on distance for the investigated area up to d = 200 pc. Stars with photometric distances are plotted as dots and stars with Gaia distances as circles. The stars with Gaia distances and four numbered stars withphotometric distances on the rising part of the extinction are shown with the error crosses. The black broken curve designates the extinction rise with distance in the diffuse Galactic dust layer for b = +36.75° according to the exponential Parenago (1945) law. |
In the text |
![]() |
Fig. 3 Dependence of the extinction on distance for the investigated area up to d = 5 kpc based on 534 stars observed with the Maksutov telescope down to V = 15 mag. The red broken curves show the effect of limiting magnitudes for K0 III stars of magnitudes 14 and 15. |
In the text |
![]() |
Fig. 4 Dependence of the extinction on distance for the investigated area up to d = 5 kpc based on 248 stars observed with the VATT telescope with the magnitudes V from 12 to 20. The red broken curves show the effect of limiting magnitudes for G0 V, G5 V, and K0 V stars of V = 19 mag. |
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.