ar X iv :1 21 1. 29 35 v1 [ as tr o- ph .S R ] 1 3 N ov 2 01 2 Mon. Not. R. Astron. Soc. 000, 1–?? (2002) Printed 14 November 2012 (MN LATEX style file v2.2) A comprehensive study of NGC 2023 with XMM-Newton and Spitzer ⋆ M. A. López-Garćıa1†, J. López-Santiago1, J. F. Albacete-Colombo2, P. G. Pérez-González1,3 and E. de Castro1 1Departamento de Astrof́ısica y Ciencias de la Atmósfera, Universidad Complutense de Madrid, E-28040 Madrid, Spain 2Centro Universitario Regional Zona Atlántica (CURZA) Universidad Nacional del COMAHUE, Monseñor Esandi y Ayacucho (8500), Viedma (Rio Negro), Argentina. 3Associate Astronomer at Stward Observatory, The University of Arizona. Accepted .... Received ... ABSTRACT Nearby star-forming regions are ideal laboratories to study high-energy emission of different stellar populations, from very massive stars to brown dwarfs. NGC 2023 is a reflection nebula situated to the south of the Flame Nebula (NGC 2024) and at the edge of the H ii region IC 434, which also contains the Horsehead Nebula (Barnard 33). NGC 2023, NGC 2024, Barnard 33 and the surroundings of the O-type supergiant star ζ Ori constitute the south part of the Orion B molecular complex. In this work, we present a comprehensive study of X-ray emitters in the region of NGC 2023 and its surroundings. We combine optical and infrared data to determine physical properties (mass, temperature, luminosity, presence of accretion disks) of the stars detected in an XMM-Newton observation. This study has allowed us to analyze spectral energy distribution of these stars for the first time and determine their evolutionary stage. Properties of the X-ray emitting plasma of these stars are compared to those found in other nearby star-forming regions. The results indicate that the stars that are being formed in this region have characteristics, in terms of physical properties and luminosity function, similar to those found in the Taurus-Auriga molecular complex. Key words: (Galaxy:) open clusters and associations: general – stars: pre-main- sequence – stars: coronae – X-rays: stars 1 INTRODUCTION Star-forming regions are the best laboratories to study the different physical processes that give rise to X-ray emission. X-ray photons are little absorbed by interstellar material and young stars show higher levels of X-ray emission than main-sequence stars. High-energy radiation plays an impor- tant role in the development and evolution of stellar pro- toplanetary disks (Bally et al. 2000; Scally & Clarke et al. 2001) and planetary atmospheres (e.g. Penz et al. 2008) and contributes to the disruption of star formation by causing ⋆ This publication makes use of data products from the Two Mi- cron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Cen- ter/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has also made use of the Centre de Donnes Astronomiques de Strasbourg (CDS) tool Aladin. † E-mail: mal@astrax.fis.ucm.es molecular material blow out. Outflows, jets and winds are the main mechanisms to modify the molecular cloud en- vironment, except for supernova explosions. They displace cloud material but also trigger star formation. The Orion giant molecular complex (see Fig. A1) con- sists of two main large structures, usually referred to as Orion A and B, and a number of less massive filaments (see Genzel & Stutzki et al. 1989, for a detailed description). The Orion A molecular cloud contains the Orion Nebula Cluster (ONC) which is the closest OB association to the sun (∼ 450 pc). Because of its proximity, the ONC is one of the most visited targets for numerous studies, including the relation between cloud kinematics and star formation (see Hartman & Burkert et al. 2007, and references therein), protostellar and circumstellar disk characteristics (e.g. Fang et al. 2009; Ingleby et al. 2009; Wilson et al. 2011) and the properties of the X-ray emission of young stellar objects and T Tauri stars (see Preibisch et al. 2005, and the rest of the articles of the Chandra Orion Ultradeep Project (COUP) in the special is- sue of the ApJS). An extensive study of Orion A combining http://arxiv.org/abs/1211.2935v1 2 M. A. López-Garćıa et al. data from the XMM-Newton and Spitzer missions is just be- ing carried out (see preliminary results in Wolk et al. 2010a; Pillitteri et al. 2010). Equally interesting for studies on stellar formation is the Orion B molecular cloud. The complex extends roughly south-north and contains the Horsehead Nebula, NGC 2023, NGC 2024, and several other reflection nebulae, such as NGC 2068 and NGC 2071. The southern part of Orion B (L 1630) borders the large H ii region IC 434, which is ex- panding into the molecular cloud. The interface between the molecular cloud and the H ii region (IC 434) is seen as a bright ridge of glowing gas with the Horsehead Nebula and several smaller pillars (Mookerjea et al. 2009). The Horse- head Nebula points directly towards the multiple system σ Ori, which is ionizing IC 434. At a distance of 350–450 pc, the Horsehead Nebula is the closest pillar to the Sun and represents an ideal laboratory to study the emergence and evolution of X-ray emission in very young stars, their X-ray properties and the influence of X-ray emission and its vari- ability on the heating and evolution of proto-planetary disks (see infrared studies by Bowler et al. 2009; Mookerjea et al. 2009). NGC 2023 is located about 15 arcmin to the north- east of the pillar. In contrast to NGC 2024, that contains an embedded stellar cluster with more than 200 members and several protostar candidates (Haisch et al. 2000; Skin- ner et al. 2003), NGC 2023 shows low stellar density. Some radio clumps have been detected using the VLA (Anglada & Rodŕıguez et al. 2002; Reipurth et al. 2004). One of them, the source NGC 2023 MM 1, is a confirmed (very cold) Class 0 source driving a large and well collimated molecular out- flow (Sandell et al. 1999). Three Herbig-Haro objects were identified by Malin et al. (1987): [MOW87] HH1, HH2, and HH3. Mookerjea et al. (2009) associated HH3 with the clas- sical T Tauri star V615 Ori, but the association of HH1 and HH2 with a detected source is more uncertain. The authors associated HH2 to the mid-infrared source MIR-51, while HH1 could be associated to the radio source NGC 2023 MM3, the mid-infrared source MIR-62 or even the near- infrared source NIR-15, merely at 40 arcsec from HH1. The age of NGC 2023 is not well established. Alcala et al. (2000) derived ages in the range 0.5 < τage < 7.0 Myr for stars in the L 1641 and L 1630 clouds with an X-ray counterpart. For NGC 2024, Eisner & Carpenter (2003) de- termined an age of 0.3 Myr from the disk frequency, while Ali et al (1998) proposed 0.5 Myr as the age of this cluster, based in infrared photometry. The coexistence of both radio clumps and stars without a protoplanetary disk in the re- gion of NGC 2023 (e.g. Mookerjea et al. 2009) suggests that star formation has taken place during several million years, although this hypothesis should be tested robustly. In this work, we present for the first time a compre- hensive study of the X-ray sources in the star-forming re- gion NGC 2023 and its surroundings. We give general X-ray emission characteristics of the sources (temperature, column density and emission measure) and compare them with the results obtained for the nearby regions Taurus (Güdel et al. 2007) and Orion Nebula Cluster (ONC; Preibisch et al. 2005). We complete a multi-wavelength study of the X-ray detected sources using data from the literature. In addition, archival observations from the Spitzer infrared observatory are analyzed. We then classify the X-ray sources into classes Table 1. NGC 2023 XMM-Newton observation details on each EPIC detector. PN MOS1 MOS2 Exp. time (ks) 25.09 29.13 29.12 Effective exp. time (ks) 13.60 15.00 15.80 Filter Medium Thin Medium Obs. mode Extented Full Frame Full Frame Full Frame Figure 1. Lightcurve of the whole EPIC-PN detector at E > 10 keV. The dashed line indicates the recommended value for excluding flaring high background by the SAS manual. Shaded regions are those showing high background flaring and, therefore, are those discarded for our analysis. I, II and III objects according to their infrared characteris- tics. 2 X-RAY OBSERVATION AND DATA REDUCTION The XMM-Newton observation of the NGC 2023 reflection nebula (ID 0112640201) was part of an observing program aimed at studying deeply embedded stellar clusters in Orion B. The observation was performed as a single, 30 ks long exposure on 2002 during satellite revolution 419. The EPIC (European Photon Imaging Camera) was used in full-frame mode as primary instrument. The observation was centered at α = 05h41m47.20s and δ = 02d16m37.0s. Table 1 summa- rizes the information of the parameters used for each EPIC detector. The data reduction was done through theXMM-Newton Science Analysis System (SAS) software, version 10.0. Im- ages and spectra were produced with the standard SAS tools. We rejected high background periods from the anal- ysis of the lightcurve of the whole detector (independently for EPIC-MOS and PN) and selected time periods with con- stant, low X-ray emission at E > 10 keV (Fig. 1). Bad events and noise were also rejected to create the final (GTIs; good time intervals) event tables. From our analysis, we conclude that the observation was largely contaminated by high X-ray emission background periods (usually attributed to protons and other relativistic particles produced during solar flares). After our processing, the useful exposure time was reduced to 13.6 ks for PN, 15 ks for MOS1 and 15.8 ks for MOS2. Hereafter, we use the cleaned event lists. In Fig. 2, we show a mosaic of PN and MOS images of NGC 2023 in the energy band 0.3–8.0 keV, created with the task emosaic. We used the SAS task edetect chain to re- A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 3 Figure 2. Composite EPIC (MOS+PN) image of the XMM- Newton FoV in the 0.3–8.0 keV energy band. veal sources at three different energy bands (0.3–1.2, 1.2–2.5, 2.5–4.5 keV) in PN, MOS1 and MOS2 separately. A second stage consisted of using the 0.3-8.0 keV energy band to con- firm the first detections. A total of 50 sources were detected. After a careful inspection that includes a cross-match with optical and infrared catalogs (see Section 3), we discarded 14 of them because they were multiple or spurious detec- tions, typically at the detector border or close to a bright source. The list of the X-ray sources is given in appendix (Table A1). We have removed those sources considered as spurious detections during the optical and infrared analyses (Section 3) from the tables, although we have maintained the original numeration for convenience. X-ray sources of Yamauchi et al. (2000) are identified in the table last col- umn as [YKK2000] followed by the ID number given by the authors. 3 INFRARED PROPERTIES OF X-RAY SOURCES 3.1 Spitzer The region of NGC 2023 and its surroundings present a large amount of gas and dust that produces high opti- cal and near-infrared absorption (see Bowler et al. 2009). The absorption by the gas and dust is less dramatic in the mid-infrared, in particular in the Spitzer-IRAC bands and in radio-wavelengths. Mookerjea et al. (2009) used archive Spitzer observations of this region and sub-millimetric ob- servations performed by themselves with the Submillimeter Common User Bolometric Array (SCUBA; Holland et al. 1999) to create an infrared census of young stellar objects and protostars. Mookerjea et al. (2009) analyzed only part of the Spitzer -IRAC observations, close to the Horsehead. The region they selected overlaps only partially with the XMM-Newton observation, that is centered on NGC 2023. We have reanalyzed the Spitzer data covering the XMM- Newton field of view to look for infrared counterparts of all the X-ray detected sources. For our work, we used the observations with aorkey numbers 8773120 and 8773632. Two collections of images are present in those observations for each IRAC channel, cor- responding to two different configurations with frame-time 0.6 and 10.4 seconds, respectively. We treated both datasets separately. The regular IRAC pipeline of MOPEX (version 18.4.9) was used for the reduction and the mosaic creation. At the end of the reduction process, we had two mosaics for each IRAC channel and observation, for a total of four mosaics per channel. Photometric analysis was performed in each mosaic independently. It was not the aim of this work to obtain IRAC fluxes for all the sources in the field. We determined infrared fluxes only for the IR counterparts of the X-ray sources (see Fig. A2). To derive the fluxes, we used the daophot package included in IDL, which is an adaptation of the For- tran code also used in IRAF1. Aperture photometry with three different extraction radii (2, 3 and 4 arcsec) was per- formed. For the background (sky) subtraction, we used an annulus with inner and outer radii 20 and 30 arcsec, respec- tively. The mosaics performed by MOPEX are in units of MJy/sr. We transformed them to mJy and applied an aper- ture correction. Aperture corrections were estimated from semi-empirical point response functions (PRFs)2 given in the Spitzer Manual. Their values are given in Table 2 for each channel. The uncertainties include the effects of typical World Coordinate System (WCS) random alignment errors (always less than 1 pixel; see Pérez-González et al. 2008). For each source, we determined magnitudes in AB system and Vega system. The latter were determined using the flux to magnitude conversion of the GLIMPSE3. For each infrared source, fluxes determined with extraction radii of two, three and four arcsec are very similar except for the two most brilliant IRAC sources, that show differences of up to 10% in the four channels. The same statement is applicable to the comparison between observations with frame times 0.6 and 12 seconds. In the latter case, the differences arise from the fact that those sources are very close to the saturation regime for long exposures. To avoid problems with those sources, we decided to use only the images with shorter expo- sure times. The Spitzer photometry for our sources is given in Table A3. We note that Src. 24 was not cross-identified with an unique IRAC counterpart because of the proximity of several infrared sources that contaminate the photometric measures. In the tables, we give photometry of the closest star to this Src. 24 for completeness. However, those values are not reliable and we did not used them in our study. Figure 3 shows a color-color diagram of the four IRAC channels for those of our sources with a counterpart in the four bands. We have marked the typical location of infrared class I, II and III objects and the locii of broad-line and narrow-line active galactic nuclei as shown by Stern et al. (2005). Source ID numbers for class I and class II objects are 1 IRAF: http://iraf.noao.edu/ 2 “Spitzer pixels are relatively big relative to point sources, so MOPEX fits with Point Response Functions (PRFs), which take into account intra-pixel sensitivities.” 3 GLIMPSE: http://www.astro.wisc.edu/sirtf/ 4 M. A. López-Garćıa et al. Table 2. Aperture correction factors for several different extrac- tion radii. IRAC channel Aperture 3.6µm 4.5µm 5.4µm 8.0µm (arcsec) (mag) (mag) (mag) (mag) 1.5 0.59 ± 0.04 0.63 ± 0.04 0.83 ± 0.04 0.94 ± 0.06 2.0 0.32 ± 0.03 0.36 ± 0.03 0.53 ± 0.02 0.65 ± 0.03 3.0 0.13 ± 0.03 0.14 ± 0.02 0.22 ± 0.02 0.36 ± 0.02 4.0 0.03 ± 0.02 0.03 ± 0.02 0.05 ± 0.02 0.21 ± 0.03 Figure 3. IRAC color-color diagram of the X-ray sources of NGC 2023 and its surroundings. The locus of broad-line and narrow- line active galactic nuclei is marked. Extinction vector is also overplotted. The cross symbol at the left bottom corner indicates the typical error for sources in our sample. Squares are sources classified as class I objects. Dots are class II objects while aster- isks are stars classified as main-sequence or class III objects. The extinction vector is AK = 5 mag. overplotted. The cross at the right bottom corner represents the mean error bar in both colors. The typical error in the colors of bright sources is 0.1 mag. Faint sources show error bars with values as large as 1.2 mag in some cases. The main concentration of sources is detected upon class III, that are usually identified with weak-line T Tauri and main sequence stars (asterisks in Figure 3). Five sources are situated inside the boundaries of the class II type objects and another two are very close to those boundaries. Stellar sources with infrared class II objects nature are typically identified with classical T Tauri stars. In Figure 3, we have plotted them as filled circles. Finally, two sources have col- ors typical of class I objects (squares in the figure). Stellar sources with such infrared properties use to be related to protostars and T Tauri stars with circumstellar envelopes. A note of caution must be given here. Very absorbed class II objects may present IRAC colors typical of class I ob- jects. Therefore, the two sources in Fig. 3 classified as class I objects may be absorbed class II stars. In fact, one of the sources has been previously classified as a class II star in the literature. This is the case of the object detected by Mook- erjea et al. (2009) with Spitzer and SCUBA (named VLA 3 Figure 4. 2MASS color-color diagram of the X-ray sources of NGC 2023 and its surroundings. The dwarf stars main sequence is plotted as a continuous line. The extinction vector is AV = 3 mag. The dotted lines correspond to the dwarfs main sequence with AV = 0.5, 1.0 and 1.5 mag. Symbols are as in Fig. 3. and MIR 46 in their paper, source number 7 in our work, Src 7). 3.2 Other photometric data from the literature We complemented our study by cross-correlating our sample against different catalogs. In particular, we used the second version of the TASS Mark IV photometric catalog (Droege et al. 2006, 2007) for V magnitudes, DENIS database 3rd release (DENIS Consortium 2005) for I magnitudes, the 2MASS database (Skrutskie et al. 2006) for near-infrared, and theWISE preliminary data release (Cutri et al. 2012) for mid-infrared. The cross-correlation was performed through the specific Aladin Java tool (Bonnarel et al. 2000). We used a search radius of 5 arcsec to prevent the loss of coincidences due to the XMM-Newton positional uncertainties. We finally cross-matched our sample with the list of stars of Mookerjea et al. (2009). Tables A2 and A3 summarize the photometric data for each one of our sources. We note that 13 out of the 50 sources detected in X-rays have no counterpart in any of the catalogs mentioned above. We considered them as spurious X-ray de- tections and, therefore, we removed them from the tables. We maintained Src. 23 because it is situated at 11 arcsec from an optical source. We cannot discard this source as a real detection. The remaining sources have a counterpart in DENIS and/or 2MASS, except for source 7 (VLA3 in Mook- erjea et al. 2009, see Section 3.1) and Src 12 (only Spitzer photometry). In Fig. 4 we plot the 2MASS color-color dia- gram for these sources. The main sequence for unabsorbed (dwarf) stars is overplotted as a continuous line. The shaded region in the figure is the locus of the active galactic nu- clei (AGN) determined by us using data from Kouzuma & Yamaoka (2010). The position of most of the stars in the A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 5 Figure 5. I−J - J−[3.6] color-color diagram of the X-ray sources of NGC 2023. The continuous line represents the ZAMS and the dashed line is the 1 Myr isochrone (Baraffe et al. 1998). The shaded region is the locus of quasars (adapted from Barrado et al. 2011). Symbols are as in Fig. 3. The extinction vector is AV = 1.5 mag. color-color diagram indicates the high interstellar extinction in this star-forming region. As in Fig. 3, we identified class II objects with its X-ray source ID number. We estimated the value of the extinction (AV) for each star, from the 2MASS color-color diagram (Fig. 4). Our re- sults are given in Table A2. They will be discussed and com- pared with those obtained from SED fitting in Section 3.4. Barrado et al. (2011) showed that the I − J vs J−[3.6] color-color diagram can be used to reject extragalactic ob- jects from X-ray selected samples, as active galactic nuclei are well separated from stars. Figure 5 shows the same dia- gram for our 32 sources with a DENIS counterpart. Src 10 and Src 28 are situated close to the boundaries of extra- galactic sources, but they have been clearly identified with stars in the optical images (in fact Src 10 is V615 Ori). Only Src 18 and Src 35 may be absorbed quasars, according to the direction of the extinction vector (In Tables A2 and A3 they are identified as possible AGN). 3.3 Age of the NGC 2023 members It was mentioned in Section 1 that the age of the star- forming region around NGC 2023 is not well known. There are very few works about this issue in the literature (see Meyer et al. 2008, for a review). Alcala et al. (2000) gave a range of ages for the stars belonging to the Orion Molecular Complex, but there is no particular study on each individ- ual region. Ages determined for these stars are in the range 0.5–7.0 Myr. In Fig. 6, we show evolutionary tracks from Baraffe et al. (1998), with an extension to stellar masses over 1.6 M⊙ from Siess et al. (2000), in a 2MASS color-magnitud dia- gram. We assumed a mean distance of 400 pc for the region. Figure 6. Ks - J − Ks color-magnitud diagram of the X-ray sources of NGC 2023. The lines are evolutionary tracks from Baraffe et al. (1998) and Siess et al. (2000), with the ZAMS, 7, 3 and 1 Myr isochrones and several mass tracks (d = 400 pc). Symbols are as in Fig. 3. The extinction vector is AV = 5 mag. The isochrones are 1, 3 and 7 Myr and the ZAMS. We also plot tracks for masses ranging from 0.2 to 1.4 M⊙. Although there is a concentration of low mass stars around the 7 Myr isochrone, the density of isochrones in that region of the diagram makes difficult to assure this is the age for the clus- ter. In fact, the most massive stars seem to follow younger isochrones. Therefore, we only may affirm the age of the stars in NGC 2023 is in the approximate range 1− 7 Myr. 3.4 SED fitting To investigate in more detail the nature of our X-ray sources, we performed SED fitting using the photometric data we compiled for each source (Tables A2 and A3). We took full advantage of the grid of young stellar object radiation trans- fer models of Robitaille et al. (2007). In the model, we per- mitted the extinction to vary only from zero to the maximum value given by the 2MASS color-color diagram (Fig. 4). Ex- tinction and distance are the only parameters external to the model. Fitting was performed for the 32 sources in our sample with a DENIS counterpart, to include at least one optical band. This should improve spectral type determination. The blue spectrum of a Class II is usually affected by accretion, as it produces an excess in the blue and ultraviolet spectral range. In Figs. A3 and A4, we show the best fit for those 32 sources. In some cases, there is more than one model that fits well our data. For those cases, we overplot them as grey lines. We have assumed as good models those in which (χ2 − χ2 best)/χ 2 best 6 0.1. In most of those cases, it is not possible to discard any of the fits. We would need some point in the sub-millimeter spectral range (see discussion in Section 5). The classification into the different infrared classes 6 M. A. López-Garćıa et al. given in Tables A2 and A3 was performed according to the results of the SED fitting, using the parameter α, defined as the slope of the SED beyond 2.2 µm (see Robitaille et al. 2007). We used every point of the SED for this purpose, join- ing WISE and Spitzer data. A review on the classification method can be found in Stahler & Palla (2005). We classi- fied as class III objects those sources for which an absorbed stellar model is enough to fit the observed SED (α 6 −1.5). Only Src. 14 may show a very thin circumstellar disk (see Fig. A3). Nevertheless, the data fits well also to a stellar photosphere. Class II objects (−1.5 < α 6 0.0) show an obvious excess at the IRAC bands (see Fig. A4). For those sources, any attempt of fitting a stellar model without disk was unsuccessful. Src. 13 and Src. 17 show characteristics of both class I and II objects. Their SED first decreases be- tween 1.0 and 5.4 µm, but then increases again. We have classified them as class I/II objects. Finally, there are sev- eral sources that have SEDs typical of class III objects but with an excess at wavelengths longer than 10 µm. We have classified them as class II/III objects. Src 42 is situated in the IRAC color-color diagram (Fig. 3) in a position that is usually occupied by stars with transition disks. Our classi- fication into infrared classes using the SED coincides very well with that made first using the IRAC color-color dia- gram, except for Src 44, the SED of which shows an excess above 10 µm but that in the color-color diagram is situated inside the boundaries of class III objects. Finally, we note that the SED fitting tool of Robitaille et al. (2007) gives an age for each star. This value is determined through isochrone fitting, so its result depends strongly on the model chosen. Robitaille et al. (2007) use the Siess et al. (2000) pre-main sequence evolutionary models that dif- fer slightly from the Baraffe et al. (1998) models. The tool also tends to fit low-age isochrones even when a simple pho- tosphere model is suitable for the observed SED. Therefore, the results of the fitting tool should be used with some cau- tion. Ages determined using the Robitaille et al. (2007) fit- ting tool are in the range 5–9 Myr for most of the stars, what may agree with the results presented in Section 3.3. Nevertheless, for stars showing larger infrared excesses, ages are in teh range 0.5–2 Myr. 3.5 Extinction, stellar masses, temperatures and luminosities Table A4 summarizes the results of the SED fitting for the 32 sources with an optical counterpart (see Section 3.4). For sources with more than one good fit, we give only parameters for the best fit. For class II objects, the accretion rate and evolutionary stage are also given. To account for the evolu- tionary stage of young stellar objects, Robitaille et al. (2007) defined a parameter based on physical properties of the cir- cumstellar envelops, such as mass and accretion rate from it. The authors distinguished between stars with significant infalling envelops (Stage 0/I objects), stars with optically thick disks and thin envelopes (Stage II objects), and stars with optically thin disks (Stage III objects). We have deter- mined this stage for our sources and included it in Table A4. We observe that this classification coincides very well with that given by the IRAC color-color diagram or the slope of the SED. Class I objects present properties of Stage I ob- jects while class II objects are classified as Stage III objects following this method. We previously mentioned that parameters listed in Ta- ble A4 are those given by the model. In fact, the extinction (AV) and the distance are parameters external to the radia- tive model (see Robitaille et al. 2007). In addition, stellar mass and radius are determined from evolutionary tracks (Robitaille 2008). In essence, the parameters derived from the model are the temperature and luminosity of the star. With respect to the interstellar extinction, the values coming from the SED fitting tool are quite similar to those determined with the 2MASS color-color diagram if one takes error bars into account for stars showing low extinction. For the remaining stars, there is a trend of AV determined using the color-color diagram to be higher than that coming from the SED fitting tool. The median of the ratio between AV determined with both methods is 1.35, or 1.5 if only stars with AV > 1 are considered. These stars are mainly those for which the extinction determined with both methods do not coincide even when error bars are taken into account. 4 X-RAY SPECTRAL ANALYSIS In Section 2, we showed that the X-ray observation of the NGC 2023 nebula was affected by high background periods (see Fig. 1). The highly variable background prevented us to perform a study about variability of the detected sources. Therefore, our study was limited to the spectral analysis. The X-ray spectrum of sources with more than approxi- mately 100 net counts was compared (using fitting proce- dures) to hot plasma models using XSPEC (Arnaud et al. 1996, 2004). The software first load the data previously ex- tracted using specific SAS tools (source and background spectra, response matrix and ancillary file) and then gen- erates the plasma model. Two hot (diffuse) plasma models are available in XSPEC: mekal (Mewe et al. 1985, 1986; Kaastra et al. 1992; Liedahl et al. 1995) and apec (Smith et al. 2001a). To be consistent with our previous works (e.g. López-Santiago & Caballero 2008; López-Santiago et al. 2010a), we chose the latter for the present analysis. The apec uses the atomic data contained in the Astrophysical Plasma Emission Database (APED; Smith et al. 2001b). Due to the limitations of our observation in terms of counts – because of the time lost due to the high background periods – we used only 1T or 2T -models for the fits. The re- sults of the spectral fitting are given in Table 3 for those stars with accurate fits. For several stars, the value of the abundance obtained during the fit was unconstrained. In those cases, we fixed the abundance to Z/Z⊙ = 0.2. Al- though some authors have used other values in their works (e.g. Stelzer et al. 2004; Robrade & Schmitt et al. 2007; Gia- rdino et al. 2007a), in other stars of this star-forming region we find always a value of Z/Z⊙ very close to 0.2. We used χ2 Statistics to obtain the goodness of our fits. Energy chan- nels were then grouped to contain at least 15 counts in each energy bin. A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 7 Table 3. Results of the X-ray spectral fitting to hot plasma models for stars in NGC 2023. Errors are at 90% confidence level. ID NH kT1 kT2 EM1/EM2 Z χ2 fX a logLX b (×1022 cm−2) (keV) (keV) (Z⊙) (d.o.f) (×10−13 erg cm−2 s−1) (erg s−1) 3 0.00+0.01 −0.00 0.62+0.09 −0.11 1.26+0.21 −0.13 0.70 0.23+0.05 −0.05 1.29 (276) 3.95 29.2 10 0.50+0.05 −0.04 2.49+0.34 −0.52 ... ... 0.33+0.22 −0.16 1.29 (140) 12.20 31.3 17 0.22+0.44 −0.08 1.24+1.62 −0.53 ... ... = 0.2 1.27 (54) 0.57 30.3 20 0.07+0.05 −0.05 0.78+0.16 −0.80 1.64+2.32 −2.32 2.59 0.13+0.13 −0.03 0.88 (78) 2.30 30.5 22 0.05+0.06 −0.04 0.34+0.07 −0.04 1.21+0.17 −0.20 1.29 0.18+0.10 −0.06 0.83 (120) 3.30 30.5 27 0.41+0.33 −0.21 18.3+60.0 −13.7 ... ... = 0.2 0.51 (10) 1.38 30.0 28 0.44+0.07 −0.05 0.28+0.05 −0.04 1.24+0.04 −0.05 1.02 0.16+0.03 −0.03 1.10 (602) 33.41 31.9 34 0.40+0.10 −0.08 2.73+1.08 −0.58 ... ... = 0.2 1.26 (59) 6.99 30.9 36 0.24+0.16 −0.10 2.14+1.76 −0.81 ... ... = 0.2 0.72 (61) 2.17 30.4 41 0.08+0.03 −0.02 2.36+0.55 −0.61 ... ... 0.15+0.14 −0.10 1.18 (271) 11.53 30.6 50 0.22+0.08 −0.08 2.00+1.86 −0.62 ... ... = 0.2 1.33 (65) 3.41 30.2 (a)Unabsorbed flux in the energy band [0.3-8.0] keV. (b) Unabsorbed X-ray luminosity in the energy band [0.3-8.0] keV. We assumed d = 450 pc (the distance to the ONC) for all the sources. 5 DISCUSSION Spectral fitting was performed for the eleven sources in our sample with at least 500 counts (combining PN and MOS detectors). The results are shown in Table 3. The position in the color-color diagram of Fig. 5 of the eleven spectroscopically sources studied in this work indi- cates they are indeed stars. According to that diagram, only Src 18 and Src 35 may be (absorbed) extragalactic sources. General X-ray parameters obtained for these eleven stars are very similar to those observed in stars of the same class in other star-forming regions (e.g. Getman et 2005; Güdel et al. 2007). Among them, three are classified as Class II from their SEDs (see Tables A2 and A3.). They are Src 10 (V615 Ori), Src 17 and Src 28. Another two stars likely have transition disks (Src 36 and Src 41). The remainder are clas- sified as Class III or main-sequence stars. Coronal temperatures are consistent with being young T Tauri stars (e.g. Güdel et al. 2007). Only Src 27 shows an extremely high temperature, although it is unconstrained (this is the source with the lowest number of counts we could fit). Unabsorbed X-ray fluxes in the energy band [0.3– 8.0] keV were determined for the eleven sources for which a spectral fitting was performed and then transformed to lumi- nosities using the distances obtained during the SED fitting procedure (Table A4). We note that for HD 37805 (Src 3), the distance given by the SED fitting tool is slightly under- estimated (Hipparcos distance for HD 37805 is d = 82 ± 7 pc). However, this is the only star for which we could find a value for its distance in the literature. Therefore, an inter- polation of this result to the remaining stars should not be done. In fact, the distance obtained with this procedure for V615 Ori (Src 10, d = 371 pc) is consistent with some results found in the literature: there are hints that the Horsehead Nebula is a few parsecs closer to us than σ Orionis, that is situated at approximately 385 pc (see Caballero & Solano 2008, and references therein). V615 Ori must be closer than the Horsehead Nebula as it is observed at the base of the nebula, in front of it. Therefore, the use of the distances obtained from the SED fitting tool seems to be a good op- tion, undoubtedly better than using the same distance for all the sources. Observed X-ray luminosities are indicative of the shallowness of this observation. Typical X-ray luminosi- ties of young M dwarfs are in the range LX ∼ 1028.5 − 1030 erg s−1 (e.g. Preibisch & Feigelson 2005). In this observa- tion, the completeness limit is fX ∼ 5×10−14 erg cm−2 s−1, what corresponds to LX ∼ 1030 erg s−1 at a distance of 400 pc. Stelzer et al. (2012) pointed out that there is a trend of a mass dependence of the X-ray emission level throughout the various evolutionary stages of young stellar objects. Com- paring the luminosities of class II and class III objects in our sample, we do not find such differences, but our sample is too small to achieve robust results. With the aim of comparing general results of our X-ray analysis of NGC 2023 with other star-forming regions, we plotted the X-ray luminosity cumulative distribution func- tion of our sample, the Orion Nebula Cluster and the Taurus Molecular Complex together (see Fig. 7). The data of those regions were taken from Getman et (2005) and Güdel et al. (2007), respectively. For each star-forming region, we plot the whole sample accessible in those works with no distinc- tion between infrared classes. For NGC 2023, we discarded HD 37805 (Src 3), that is likely a field star, and those stars for which we did not fitted a model to their SEDs (Src 7, Src 12, Src 16 and Src 24). For the stars for which a spec- tral analysis with XSPEC could not be performed, we de- termined X-ray fluxes from the observed count-rate in the following way. We used the subsample of eleven stars in Ta- ble 3 for which X-ray spectral fitting was done to determine a conversion factor between observed count-rate and (ab- sorbed) flux. This conversion factor was determined for each star and each EPIC detector (PN, MOS1 and MOS2) inde- pendently. Then, we performed a linear regression to each one of the three datasets. The relationships obtained by us were: fX [MOS1] = (0.5± 0.3) + (0.056 ± 0.005) · CR 8 M. A. López-Garćıa et al. Figure 7. Cumulative distribution function of logLX in NGC 2023 (continuous line, black), Taurus (dashed- dotted line, blue) and in the Orion Nebula Cluster (ONC). The ONC is plotted twice, one for the whole sample (dashed line, green) and the other with stars with masses less than 3 M⊙, plotted as a dotted (red) line. fX [MOS2] = (0.2± 0.4) + (0.057± 0.005) · CR fX [PN ] = (1.5± 0.2) + (0.003± 0.005) · CR Fluxes determined with these three relationships are compatible. Table A1 gives the flux values determined for our sample from their count-rates. We include in that table the eleven stars of Table 3, for completeness. For them, the values of the fluxes are those determined from the spectral fitting. As for the eleven stars for which we could perform spectral fitting (see above), fluxes were transformed into lu- minosities using the distances obtained from the SED fitting (Table A4). The comparison of the X-ray luminosity function of the different star-forming regions was made only in the range of completeness of the XMM-Newton observation of NGC 2023 (logLX[erg s −1] > 29.8). Known non-members of the ONC identified by Getman et (2005) were discarded for this study. From Fig. 7, NGC 2023 seems to be more sim- ilar to the Taurus molecular complex. In both cases, there is a lack of stars brighter than LX ∼ 1031 erg s−1, while the ONC have stars with X-ray luminosities up to 1031.5−32 erg s−1. This result may be explained as differences in the stellar population in each star-forming region. While the ONC have massive stars, they are not present in Taurus and NGC 2023. We have explored this hypothesis by con- structing a new COUP sample with stars less massive than 3 M⊙ (similar to the mass range in NGC 2023). In Fig. 7, this new sample is plotted as a dotted (red) line. The fig- ure suggests that the COUP sample restricted to the same mass range is more similar to NGC 2023 than the sample without mass restriction. We note here that the ages of the Taurus and ONC samples are not equal and that we could not determine robustly the age of NGC 2023. Therefore, this result must be used with caution. In Fig. 8, we overplot our sample of NGC 2023 sources over the COUP data (Getman et 2005). For NGC 2023, we used the masses and bolometric luminosities given in Ta- ble A4 and X-ray luminosities determined from the distances given in Table A4 and fluxes of Table A1. All the NGC 2023 low-mass stars (M < 1M⊙) are inside the boundaries of the stars of the COUP. Only the more massive stars in our sample (as determined by the SED fitting tool of Robitaille et al. 2007) have very low values of logLX/Lbol (out of the limits of Fig. 8, see Table A4). There are three types of sources with very low values of logLX/Lbol in our sample: (1) stars showing large infrared excess, for which the SED fit- ting tool gives very high luminosities, (2) intermediate-mass pre-main or main-sequence stars (A and F spectral types), and (3) Src. 18, that may be an AGN instead of a star (see Section 3.2 and Fig. 5). The SED fitting procedure derives bolometric luminosities and temperatures directly and then determine masses using evolutionary tracks (see Robitaille 2008). For stars with large infrared excesses, to obtain a robust value for their luminosity may be difficult since it depends on the accurate determination of the disk (and en- velope in some cases) parameters. Therefore, in those stars of our sample, Lbol may be overestimated. For the two stars classified as infrared class III ob- jects (i.e. stars without an accretion disk) their temperature may be also overestimated. Nevertheless, the star HD 37805 (Src. 3) that is one of these two pre-main or main-sequence stars with a very low value of the ratio logLX/Lbol, it is a known A star (e.g. Mookerjea et al. 2009), already detected in X-rays with ASCA (Yamauchi et al. 2000). Therefore, the presence of a low-mass companion responsible for the X-ray emission cannot be discarded in these three intermediate- mass stars in our sample. The other class III object with low logLX/Lbol is Src 33 (MIR 83). 6 SUMMARY AND CONCLUSSIONS We have carried out a comprehensive analysis of the X-ray and infrared properties of 36 young stellar objects in the NGC 2023 star-forming region and its surroundings for the first time. The spectral energy distribution (SED) of 90% of this sample (32 out of 36 sources) has been analyzed using the star-disk models of Robitaille et al. (2007). We have identified only two AGN candidate among the 36 X- ray sources. A classification on different infrared classes has been made according to the position of the stars in infrared color-color diagrams and to their SED. The study of the SEDs has allowed us to determine several stellar parameters such as masses, radii and luminosities, and other physical parameters such as extinctions and distances. The X-ray properties of NGC 2023 have been compared with those of other star-forming regions with different char- acteristics in terms of stellar population. Although the val- ues of temperature and column density determined for our sample of young stars are similar to those observed in stars of the Orion Nebula Cluster and Taurus, the (X-ray lu- minosity) cumulative distribution function of members of NGC 2023 is more similar to that of the Taurus molecu- lar complex. A possible explanation is the different stellar A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 9 Figure 8. logLX/Lbol as a function of stellar mass for the stars of the COUP catalog (small crosses) and our sample of NGC 2023 stars. Squares are stars classified as class III in Tables A2 and A3. Filled circles are infrared class II objects. Triangles are class II/III objects. populations in each region. While in the ONC there is a number of massive stars, they are not present in Taurus and NGC 2023. ACKNOWLEDGMENTS M.A.L-G. and J.L-S. acknowledge support by the Spanish Ministerio de Ciencia e Innovación under grant AYA2008- 06423-C03-03. J.F.A.C. is researcher of the CONICET and acknowledges support by grant PICT 2007-02177 (Se- cyT). PGP-G acknowledges support from the Spanish Pro- grama Nacional de Astronomı́a y Astrof́ısica under grants AYA2009-10368 and AYA2009-07723-E. We would like to acknowledge the anonymous referee for a fruitful discussion about the results of this work. His/Her comments on the text content have allowed us to notoriously improve this manuscript. REFERENCES Alcalá, J. M., Covino, E., Torres, G., et al. 2000, A&A, 353, 186 Ali, B., Sellgren, K., Depoy, D. L., et al. 1998, Cool Stars, Stellar Systems, and the Sun, 154, 1663 Anglada, G., & Rodŕıguez, L. F. 2000, Rev. Mexicana As- tron. Astrofis., 38, 13 Arnaud, K. 1996, XSPEC: The First Ten Years. In ASP Conf. Ser. 101, eds. George H. Jacoby and Jeannette Barnes, 17 Arnaud, K. 2004, XSPEC: Progress and Plans. In the American Astronomical Society, HEAD meeting 8, 16.29 Bally, J., O’Dell, C. R., & McCaughrean, M. J. 2000, AJ, 119, 2919 Baraffe, I., Chabrier, G., Allard, F., & Hauschildt, P. H. 1998, A&A, 337, 403 Barrado, D., Stelzer, B., Morales-Calderón, M., et al. 2011, A&A, 526, A21 Bonnarel, F., et al. 2000, A&AS, 143, 33 Bowler, B. P., Waller, W. H., Megeath, S. T., Patten, B. M., & Tamura, M. 2009, AJ, 137, 3685 Caballero, J. A., & Solano, E. 2008, A&A, 485, 931 Cash, W. 1979, ApJ, 228, 939 Cutri, R. M., et al. 2012, VizieR Online Data Catalog, 2307, 0 DENIS Consortium 2005, VizieR Online Data Catalog, 2263, 0 Droege, T. F., Richmond, M. W., Sallman, M. P., & Crea- ger, R. P. 2006, PASP, 118, 1666 Droege, T., F., Richmond, M., W., & Sallman, M. 2007, VizieR Online Data Catalog, 2271, 0 Eisner, J. A., & Carpenter, J. M. 2003, ApJ, 598, 1341 Fang, M., van Boekel, R., Wang, W., Carmona, A., Sicilia- Aguilar, A., & Henning, T. 2009, A&A, 504, 461 Genzel, R., & Stutzki, J. 1989, ARA&A, 27, 41 Getman, K. V., Flaccomio, E., Broos, P. S., et al. 2005, ApJS, 160, 319 Giardino, G., Favata, F., Micela, G., Sciortino, S., & Win- ston, E. 2007a, A&A, 463, 275 Giardino, G., Favata, F., Pillitteri, I., et al. 2007b, A&A, 475, 891 Güdel, M., Briggs, K. R., Arzner, K., et al. 2007, A&A, 468, 353 Hartmann, L., & Burkert, A. 2007,ApJ, 654, 988 Haisch, K. E., Jr., Lada, E. A., & Lada, C. J. 2000, AJ, 120, 1396 Holland, W. S., et al. 1999, MNRAS, 303, 659 Ingleby, L., et al. 2009, ApJ, 703, L137 Kaastra, J.S. 1992, An X-Ray Spectral Code for Optically Thin Plasmas (Internal SRON-Leiden Report, updated version 2.0) Kouzuma, S., & Yamaoka, H. 2010, A&A, 509, A64 Liedahl, D. A., Osterheld, A. L., & Goldstein, W. H. 1995, ApJ, 438, L115 López-Santiago, J., & Caballero, J. A. 2008, A&A, 491, 961 López-Santiago, J., Albacete Colombo, J. F., & López- Garćıa, M. A. 2010, A&A, 524, A97 Malin, D. F., Ogura, K., & Walsh, J. R. 1987, MNRAS, 227, 361 Mewe, R., Gronenschild, E. H. B. M., & van den Oord, G. H. J. 1985, A&AS, 62, 197 Mewe, R., Lemen, J. R., & van den Oord, G. H. J. 1986, A&AS, 65, 511 Meyer, M. R., Calvet, N., & Hillenbrand, L. A. 1997, AJ, 114, 288 Meyer, M. R., Flaherty, K., Levine, J. L., et al. 2008, Hand- book of Star Forming Regions, Volume I, 662 Mookerjea, B., Sandell, G., Jarrett, T. H., & McMullin, J. P. 2009, A&A, 507, 1485 Penz, T., Micela, G., & Lammer, H. 2007, A&A, 477, 309 Pérez-González, P. G., Rieke, G. H., Villar, V., et al. 2008, ApJ, 675, 234 Pickles, A. J. 1998, PAPS, 110, 863 Pillitteri, I., Sciortino, S., Flaccomio, E., et al. 2010, A&A, 10 M. A. López-Garćıa et al. 519, A34 Pillitteri, I., Wolk, S. J., Allen, L., Megeath, S. T., Guter- muth, R. A., & Gutermuth 2010, IAU Symposium, 266, 509 Pizzolato, N., Maggio, A., Micela, G., Sciortino, S., & Ven- tura, P. 2003, A&A, 397, 147 Prisinzano, L., Micela, G., Flaccomio, E., et al. 2008, ApJ, 677, 401 Preibisch, T., & Feigelson, E. D. 2005, ApJS, 160, 390 Preibisch, T., Kim, Y.-C., Favata, F., et al. 2005, ApJS, 160, 401 Reipurth, B., Rodŕıguez, L. F., Anglada, G., & Bally, J. 2004, AJj, 127, 1736 Robitaille, T. P., Whitney, B. A., Indebetouw, R., Wood, K., & Denzmore, P. 2006, ApJS, 167, 256 Robitaille, T. P., Whitney, B. A., Indebetouw, R., & Wood, K. 2007, ApJS, 169, 328 Robitaille, T. P. 2008, Massive Star Formation: Observa- tions Confront Theory, 387, 290 Robrade, J., & Schmitt, J. H. M. M. 2007, A&A, 461, 669 Sandell, G., et al. 1999 ApJ, 519, 236 Scally, A., & Clarke, C. 2001, MNRAS, 325, 449 Sciortino, S. 2008, Astronomische Nachrichten, 329, 214 Siess, L., Dufour, E., & Forestini, M. 2000, A&A, 358, 593 Skinner, S., Gagné, M., & Belzer, E. 2003, ApJ, 598, 375 Skrutskie, M. F., et al. 2006, AJ, 131, 1163 Smith, R. K., Brickhouse, N. S., Liedahl, D. A., & Ray- mond, J. C. 2001a, ApJ, 556, L91 Smith, R. K., Brickhouse, N. S., Liedahl, D. A., & Ray- mond, J. C. 2001b, ASP Conf. Ser. 247: Spectroscopic Challenges of Photoionized Plasmas, 247, 161 Stahler, S. W., & Palla, F. 2005, The Formation of Stars, by Steven W. Stahler, Francesco Palla, pp. 865. ISBN 3- 527-40559-3. Wiley-VCH , January 2005. Stelzer, B., Micela, G., & Neuhäuser, R. 2004, A&A, 423, 1029 Stelzer, B., Preibisch, T., Alexander, F., et al. 2012, A&A, 537, A135 Stern, D., Eisenhardt, P., Gorjian, V., et al. 2005, APJ, 631, 163 Telleschi, A., Güdel, M., Briggs, K. R., Audard, M., & Palla, F. 2007, A&A, 468, 425 Testa, P., Drake, J. J., Ercolano, B., et al. 2008, ApJL, 675, L97 Tsujimoto, M., Feigelson, E. D., Grosso, N., et al. 2005, ApJS, 160, 503 Wall, J. V., & Jenkins, C. R. 2003, Princeton Series in Astrophysics Wilson, T. L., Muders, D., Dumke, M., Henkel, C., & Kawamura, J. H. 2011, ApJ, 728, 61 Wolk, S. J., Pillitteri, I., Megeath, S. T., Allen, L., & con- sortium, S. 2010, Bulletin of the American Astronomical Society, 42, 683 Yamauchi, S., Kamimura, R., & Koyama, K. 2000, PASJ, 52, 1087 APPENDIX A: TABLES AND FIGURES A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 11 Table A1. X-ray parameters from the SAS multitask edetect chain. Src ID α δ rate [pn] rate [mos1] rate [mos2] Obs. fluxa HR1 HR2 Remarksb (deg) (deg) (ks−1) (ks−1) (ks−1) (×10−13 erg cm−2 s−1) 1 05 40 54.2 -02 19 04.8 ... 8 ± 1 10 ± 2 0.79 ± 0.44 -0.55 -0.49 3 05 41 02.6 -02 18 18.0 310 ± 8 67 ± 5 87 ± 4 3.95 ± 0.10 -0.72 -0.80 [YKK2000] A5 4 05 41 03.8 -02 21 39.6 12 ± 2 ... 6 ± 1 0.97 ± 0.42 -0.56 -0.31 5 05 41 06.7 -02 23 52.8 13 ± 2 5 ± 1 4 ± 1 0.98 ± 0.42 -0.71 -1.00 6 05 41 11.5 -02 27 25.2 ... 2 ± 1 1 ± 1 0.22 ± 0.44 ... ... 7 05 41 21.6 -02 11 09.6 8 ± 1 ... ... 0.93 ± 0.41 -0.53 -0.15 [YKK2000] A6 10 05 41 24.7 -02 22 37.2 203 ± 6 79 ± 4 77 ± 3 5.84 ± 1.28 0.24 -0.49 [YKK2000] A7 12 05 41 25.7 -02 23 06.0 3 ± 1 ... ... 0.87 ± 0.41 -0.45 -0.34 13 05 41 28.3 -02 13 58.8 4 ± 1 ... ... 0.88 ± 0.41 -0.70 -1.00 14 05 41 28.3 -02 19 44.4 3 ± 1 ... ... 0.87 ± 0.41 -0.78 -1.00 15 05 41 31.9 -02 10 19.2 5 ± 1 ... ... 0.89 ± 0.41 -0.73 -1.00 16 05 41 32.6 -02 13 19.2 3 ± 1 ... ... 0.87 ± 0.41 -1.00 -0.08 17 05 41 34.8 -02 17 24.0 17 ± 2 11 ± 1 9 ± 1 1.03 ± 0.15 -0.20 -0.89 18 05 41 36.5 -02 16 48.0 ... 1 ± 1 1 ± 1 0.22 ± 0.44 -0.63 -0.42 20 05 41 43.0 -02 10 26.4 100 ± 4 26 ± 2 27 ± 2 1.81 ± 0.22 -0.50 -0.70 [YKK2000] A9 21 05 41 43.2 -02 17 38.4 2 ± 1 ... ... 0.86 ± 0.41 -0.95 -1.00 22 05 41 43.2 -02 03 54.0 161 ± 7 51 ± 4 48 ± 4 2.34 ± 2.30 -0.72 -0.91 [YKK2000] A10 23 05 41 43.7 -02 10 22.8 ... 4 ± 1 ... 0.72 ± 0.39 -0.79 -1.00 opt. source at 11′′ 24 05 41 44.2 -02 16 08.4 3 ± 1 ... ... 0.87 ± 0.41 -0.95 -0.03 27 05 41 45.6 -02 24 18.0 14 ± 2 6 ± 1 5 ± 1 1.29 ± 0.38 0.57 -0.34 28 05 41 47.0 -02 16 37.2 477 ± 7 166 ± 4 159 ± 4 8.32 ± 0.87 -0.18 -0.68 [YKK2000] A11 31 05 41 48.2 -02 10 40.8 7 ± 1 2 ± 1 ... 0.92 ± 0.41 -0.79 -0.66 33 05 41 51.1 -02 29 52.8 ... 15 ± 2 10 ± 2 0.73 ± 0.44 -0.01 -0.70 34 05 41 52.6 -02 03 50.4 131 ± 6 50 ± 4 35 ± 4 4.10 ± 1.01 0.30 -0.61 [YKK2000] A12 35 05 41 55.7 -02 23 42.0 14 ± 2 3 ± 1 ... 1.26 ± 0.47 0.16 -0.77 36 05 42 09.1 -02 08 20.4 62 ± 6 16 ± 2 20 ± 2 1.48 ± 0.99 -0.05 -0.55 38 05 42 10.1 -02 10 22.8 7 ± 1 ... ... 0.92 ± 0.41 -0.91 -1.00 41 05 42 12.5 -02 05 09.6 517 ± 13 ... 145 ± 7 9.90 ± 0.93 -0.36 -0.53 42 05 42 16.1 -02 06 46.8 72 ± 5 27 ± 3 18 ± 2 1.57 ± 0.74 -0.71 -0.61 [YKK2000] A13 43 05 42 16.8 -02 06 39.6 12 ± 3 6 ± 2 ... 0.97 ± 0.42 -0.89 -0.43 [YKK2000] A13 44 05 42 18.5 -02 19 44.4 4 ± 1 ... ... 0.88 ± 0.41 -0.95 -0.58 45 05 42 19.7 -02 15 32.4 ... 1 ± 1 3 ± 1 0.34 ± 0.44 ... ... 46 05 42 20.2 -02 11 27.6 9 ± 2 3 ± 1 ... 0.94 ± 0.41 -0.46 -1.00 47 05 42 21.1 -02 15 18.0 96 ± 4 34 ± 3 34 ± 2 1.77 ± 0.91 -0.06 -0.68 [YKK2000] A14? 48 05 42 21.4 -02 07 44.4 50 ± 4 20 ± 3 19 ± 2 1.36 ± 0.59 -0.38 -0.92 49 05 42 33.8 -02 09 46.8 9 ± 2 ... ... 0.94 ± 0.41 ... ... 50 05 42 36.7 -02 20 38.4 96 ± 4 25 ± 3 35 ± 3 1.78 ± 1.58 -0.08 -0.60 (a) Flux converted from observed count-rates as explained in Section 5; (b) As in Tables A2 and A3, we have removed sources considered as spurious. [YKK2000] is for Yamauchi et al. (2000). 12 M. A. López-Garćıa et al. Table A2. Optical and near-infrared magnitudes for the sources detected in the XMM-Newton observation. Src. ID Name V I J H Ks AV IR-Class† and (mag) (mag) (mag) (mag) (mag) (mag) other remarks 1 ... 14.06 ± 0.03 12.81 ± 0.03 12.11 ± 0.02 11.93 ± 0.02 1.0 ± 0.5 III 3 HD 37805/MIR 31 7.53 ± 0.05 7.23 ± 0.05 6.95 ± 0.03 6.87 ± 0.05 6.76 ± 0.02 0.0 ± 0.5 III 4 ... 14.48 ± 0.03 12.86 ± 0.03 12.24 ± 0.03 11.95 ± 0.02 0.7 ± 0.7 III 5 ... 14.56 ± 0.03 13.03 ± 0.03 12.45 ± 0.03 12.21 ± 0.02 0.0 ± 0.5 III 6 ... 17.31 ± 0.11 13.70 ± 0.08 ... 11.34 ± 0.08 ... III 7 VLA 3/MIR 46 ... ... ... ... ... ... I 10 V615 Ori/MIR 52 13.11 ± 0.24 10.99 ± 0.17 9.10 ± 0.02 8.07 ± 0.04 7.39 ± 0.02 12.2 ± 3.5 II 12 ... ... ... ... ... ... - 13 ... 14.21 ± 0.03 12.09 ± 0.02 11.12 ± 0.02 10.73 ± 0.02 6.6 ± 1.5 I/II 14 MIR 55 12.83 ± 0.25 12.03 ± 0.09 11.34 ± 0.02 10.94 ± 0.02 10.89 ± 0.02 0.0 ± 0.6 III 15 ... 15.74 ± 0.05 14.23 ± 0.03 13.60 ± 0.03 13.33 ± 0.04 0.7 ± 0.5 III 16 NIR 17 ... ... 17.29 ± 0.23 15.55 ± 0.10 14.47 ± 0.08 23.8 ± 6.0 III? 17 MIR 60 ... 14.27 ± 0.03 12.28 ± 0.03 11.42 ± 0.02 10.97 ± 0.02 1.0 ± 0.5 I/II 18 MIR 62 ... 14.75 ± 0.03 11.73 ± 0.03 10.05 ± 0.02 8.83 ± 0.02 8.5 ± 1.5 II (AGN?) 20 MIR 71 13.58 ± 0.39 12.28 ± 0.10 11.25 ± 0.02 10.63 ± 0.02 10.49 ± 0.02 0.0 ± 0.5 III 21 WB 57/NIR 24 ... 14.57 ± 0.03 13.03 ± 0.03 12.35 ± 0.02 12.11 ± 0.03 1.0 ± 0.3 III 22 13.13 ± 0.24 11.83 ± 0.10 10.93 ± 0.03 10.32 ± 0.02 10.16 ± 0.02 0.0 ± 0.8 III 23 ... ... ... ... ... ... opt. source at 11′′ 24 W 218/NIR 25 ... ... 13.38 ± 0.04 12.51 ± 0.05 11.93 ± 0.04 ... not reliable‡ 27 MIR 76 ... 16.90 ± 0.11 13.19 ± 0.03 11.52 ± 0.02 10.80 ± 0.02 14.8 ± 1.5 III 28 MIR 80 12.39 ± 0.20 10.64 ± 0.13 9.04 ± 0.02 8.14 ± 0.04 7.55 ± 0.03 1.0 ± 1.0 II 31 MIR 81 11.93 ± 0.14 11.30 ± 0.07 10.89 ± 0.03 10.62 ± 0.02 10.58 ± 0.02 0.5 ± 0.5 II/III 33 MIR 83 ... 10.00 ± 0.22 8.90 ± 0.02 8.60 ± 0.02 8.45 ± 0.02 2.9 ± 0.5 III 34 V621 Ori ... 12.63 ± 0.02 10.57 ± 0.03 9.51 ± 0.02 9.11 ± 0.02 7.5 ± 0.7 III 35 MIR 86 ... 15.76 ± 0.07 12.85 ± 0.02 11.66 ± 0.02 11.05 ± 0.02 5.8 ± 0.5 II (AGN?) 36 ... 12.74 ± 0.03 11.07 ± 0.02 10.15 ± 0.02 9.87 ± 0.02 1.7 ± 0.5 II/III 38 12.60 ± 0.20 11.88 ± 0.08 11.31 ± 0.02 10.97 ± 0.02 10.93 ± 0.02 0.0 ± 1.5 III 41 ... 13.36 ± 0.03 11.84 ± 0.02 11.15 ± 0.02 10.92 ± 0.02 1.0 ± 0.5 II/III 42 V622 Ori 12.96 ± 0.23 11.75 ± 0.12 10.95 ± 0.02 10.43 ± 0.02 10.31 ± 0.02 1.5 ± 2.0 III 43 ... 13.76 ± 0.03 12.21 ± 0.02 11.51 ± 0.03 11.21 ± 0.02 0.0 ± 1.5 II/III 44 ... 14.29 ± 0.04 12.79 ± 0.03 12.06 ± 0.02 11.85 ± 0.03 1.5 ± 0.7 II/III 45 V623 Ori ... 14.10 ± 0.04 12.80 ± 0.08 ... 11.53 ± 0.10 ... II/III 46 ... 15.54 ± 0.06 13.73 ± 0.02 13.17 ± 0.03 12.92 ± 0.03 0.5 ± 0.6 II 47 13.03 ± 0.18 11.28 ± 0.14 9.40 ± 0.02 8.68 ± 0.04 8.39 ± 0.02 0.5 ± 0.5 III 48 ... 13.67 ± 0.03 12.28 ± 0.02 11.62 ± 0.02 11.37 ± 0.02 1.0 ± 0.6 III 49 ... 14.48 ± 0.04 12.57 ± 0.02 12.00 ± 0.03 11.67 ± 0.02 0.0 ± 0.7 III 50 ... 13.32 ± 0.03 11.56 ± 0.03 10.68 ± 0.02 10.39 ± 0.02 4.5 ± 1.0 III † Infrared object class from the SED and Spitzer color-color diagrams and remarks for particular sources. We have removed spurious sources (2, 8, 9, 11, 19, 25, 26, 29, 30, 32, 37, 39, 40). ‡ The photometry of Src. 24 is not reliable due to confusion of sources in the region. A co m p reh en sive stu d y o f N G C 2 0 2 3 w ith X M M -N ew to n a n d S p itzer 1 3 Table A3. Infrared photometric data for the sources detected in the XMM-Newton observation. W is for WISE, S is for Spitzer. Src. ID Name FW 3.4 (mJy) FS 3.6 (mJy) FS 4.5 (mJy) FW 4.6 (mJy) FS 5.4 (mJy) FS 8.0(mJy) FW 12 (mJy) FW 22 (mJy) FS 24 (mJy) IR class†/Remarks 1 5.9 ± 0.4 5.3 ± 0.3 3.5 ± 0.3 3.5 ± 0.3 1.6 ± 0.6 1.0 ± 0.1 ... ... ... III 3 HD 37805/MIR 31 ... 518.2 ± 5.2 336.5 ± 3.5 ... 219.7 ± 2.5 149.8 ± 2.0 ... ... 55.4 ± 0.2 III 4 5.5 ± 0.4 5.1 ± 0.3 4.6 ± 0.3 3.8 ± 0.3 ... ... ... ... ... III 5 ... 3.6 ± 0.3 3.1 ± 0.3 ... ... ... ... ... ... III 6 13.1 ± 0.5 ... 8.2 ± 0.3 ... ... ... ... ... ... III 7 VLA 3/MIR 46 ... 3.0 ± 0.2 4.6 ± 0.3 ... 6.5 ± 0.5 13.6 ± 0.6 ... ... 23.4 ± 0.2 I 10 V615 Ori/MIR 52 998.9 ± 36.3 931.9 ± 9.0 995.2 ± 9.6 1468.9 ± 48.3 1020.1 ± 9.9 1207.5 ± 11.7 1215.3 ± 32.9 1396.89 ± 55.5 1067.0 ± 0.5 II 12 ... 0.1 ± 0.2 0.7 ± 0.3 ... 2.2 ± 0.7 6.1 ± 1.0 ... ... ... - 13 23.6 ± 1.3 20.9 ± 0.5 11.8 ± 0.4 16.1 ± 1.2 27.3 ± 1.0 ... ... ... .. I/II 14 MIR 55 14.0 ± 0.4 12.4 ± 0.4 7.4 ± 0.3 7.5 ± 0.2 9.3 ± 0.6 4.5 ± 0.4 ... ... ... III 15 1.5 ± 0.1 1.1 ± 0.2 1.3 ± 0.2 1.0 ± 0.1 ... ... ... ... ... III 16 NIR 17 ... ... ... ... ... ... ... ... ... III? 17 MIR 60 21.1 ± 0.8 20.7 ± 0.5 15.8 ± 0.5 19.59 ± 0.7 40.4 ± 2.1 62.5 ± 2.4 156.1 ± 18.4 559.7 ± 79.3 ... I/II 18 MIR 62 508.1 ± 21.9 595.6 ± 6.0 686.7 ± 6.8 700.5 ± 20.8 764.1 ± 10.0 957.6 ± 21.8 ... 2560.7 ± 162.5 1063.0 ± 1.0 II (AGN?) 20 MIR 71 ... 19.0 ± 0.5 12.4 ± 0.4 ... 7.4 ± 0.6 4.9 ± 0.6 ... ... ... III 21 WB 57/NIR 24 ... 5.6 ± 0.3 3.0 ± 0.3 ... ... ... ... ... ... III 22 28.7 ± 0.7 25.4 ± 0.6 ... 16.24 ± 0.4 11.6 ± 0.6 ... ... ... ... III 23 ... ... ... ... ... ... ... ... ... opt. source at 11′′ 24 W 218/NIR 25 ... 295.4 ± 3.2 501.3 ± 5.1 ... 706.4 ± 7.3 1161.2 ± 12.6 ... ... ... not reliable‡ 27 MIR 76 19.7 ± 0.5 20.3 ± 0.5 13.9 ± 0.4 14.7 ± 0.4 13.2 ± 0.7 6.0 ± 0.3 ... ... ... III 28 MIR 80 811.2 ± 30.8 785.9 ± 7.7 755.0 ± 7.4 944.0 ± 27.2 719.1 ± 7.2 789.3 ± 8.7 827.8 ± 21.1 785.5 ± 33.2 458.7 ± 0.3 II 31 MIR 81 19.1 ± 0.5 14.9 ± 0.4 10.3 ± 0.4 10.37 ± 0.3 5.3 ± 0.6 ... 4.3 ± 1.6 ... ... II/III 33 MIR 83 160.5 ± 4.3 134.1 ± 1.7 89.7 ± 1.2 91.1 ± 2.3 65.9 ± 1.2 36.0 ± 0.7 11.6 ± 1.5 ... 24.4 ± 0.2 III 34 V621 Ori 83.8 ± 2.2 74.7 ± 1.1 ... 50.8 ± 1.3 38.2 ± 0.8 ... 12.4 ± 0.5 ... ... III 35 MIR 86 22.6 ± 0.5 27.2 ± 0.6 27.1 ± 0.6 24.1 ± 0.6 30.5 ± 0.8 38.9 ± 0.8 58.3 ± 2.2 154.9 ± 9.6 ... II (AGN?) 36 39.8 ± 1.1 33.2 ± 0.6 21.0 ± 0.5 22.1 ± 0.5 16.1 ± 0.6 11.6 ± 0.5 12.8 ± 1.0 17.9 ± 4.5 ... II/III 38 13.9 ± 0.4 11.0 ± 0.4 7.8 ± 0.3 7.6 ± 0.2 8.1 ± 0.6 3.5 ± 0.3 ... ... ... III 41 15.4 ± 0.4 13.3 ± 0.4 ... 9.4 ± 0.2 6.9 ± 0.7 ... 3.4 ± 0.6 ... ... II/III 42 V622 Ori 24.5 ± 0.7 20.4 ± 0.5 13.0 ± 0.4 13.4 ± 0.3 6.3 ± 0.6 6.8 ± 0.3 4.8 ± 0.9 ... .. III 43 13.2 ± 0.4 11.1 ± 0.4 9.2 ± 0.4 9.6 ± 0.2 8.7 ± 0.6 7.5 ± 0.4 4.6 ± 0.1 ... ... II/III 44 6.3 ± 0.2 5.1 ± 0.3 3.7 ± 0.3 3.9 ± 0.1 3.4 ± 0.5 2.1 ± 0.3 2.6 ± 0.8 5.7 ± 1.6 ± ... II/III 45 V623 Ori 9.1 ± 0.2 ... ... 8.8 ± 0.2 ... ... 7.6 ± 0.9 13.7 ± 4.2 ... II/III 46 2.5 ± 0.1 2.3 ± 0.2 2.0 ± 0.2 1.8 ± 0.1 0.9 ± 0.5 ... 2.8 ± 0.7 9.9 ± 2.7 ± ... II 47 149.9 ± 4.0 131.1 ± 1.6 79.7 ± 1.1 85.4 ± 2.1 61.0 ± 1.1 35.6 ± 0.7 19.8 ± 1.1 9.6 ± 3.2 ... III 48 8.8 ± 0.2 9.5 ± 0.3 6.0 ± 0.3 5.6 ± 0.2 3.1 ± 0.6 ... ... ... ... III 49 7.4 ± 0.2 7.9 ± 0.3 5.3 ± 0.3 5.1 ± 0.1 3.0 ± 0.5 1.8 ± 0.3 ... ... ... III 50 24.8 ± 0.7 22.1 ± 0.5 15.3 ± 0.5 14.6 ± 0.4 11.9 ± 0.6 5.3 ± 0.4 ... ... ... III † Infrared object class from the SED and Spitzer color-color diagrams and remarks for particular sources. We have removed spurious sources (2, 8, 9, 11, 19, 25, 26, 29, 30, 32, 37, 39, 40). ‡ The photometry of Src. 24 is not reliable due to confusion of sources in the region. 14 M. A. López-Garćıa et al. Table A4. Main results from the use of the fitting tool of Robitaille et al. (2007) with the NGC 2023 X-ray detected sources. Src. ID Name AV Distance M⋆ R⋆ T⋆ Lbol logLX/Lbol Ṁ Stagea IR Classb (mag) (pc) (M⊙) (R⊙) (K) (L⊙) (M⊙/yr) 1 0.05 398 0.48 1.02 3735 0.19 -2.68 ... ... III 3 HD 37805/MIR 31 0.10 56 1.45 1.77 7500 8.53 -13.02 ... ... III 4 1.11 299 0.35 0.77 3550 0.09 -3.41 ... ... III 5 0.25 398 0.38 0.52 3650 0.01 -3.08 ... ... III 6 8.81 630 0.66 0.76 4672 0.27 -3.59 ... ... III 10 V615 Ori/ MIR 52 5.19 371 2.96 4.39 7902 67.4 -69.89 1.82× 10−9 III II 13 1.90 500 1.09 10.14 4037 24.6 -27.52 1.03× 10−8 I I/II 14 MIR 55 0.00 575 1.60 1.88 5084 2.11 -3.37 ... ... III 15 0.24 479 0.29 0.76 3399 0.07 -3.78 ... ... III 17 MIR 60 1.19 575 0.48 5.40 3692 4.87 -8.36 2.15× 10−9 I I/II 18 MIR 62 5.33 457 3.42 2.63 11725 118 -121.6 4.51× 10−9 III II 20 MIR 71 0.76 347 1.31 1.46 4809 1.02 -3.18 ... ... III 21 NIR 24 0.42 245 0.24 0.72 3366 0.06 -2.57 ... ... III 22 0.34 288 1.35 1.52 4886 1.18 -3.29 ... ... III 27 MIR 76 7.65 275 0.35 1.92 3500 0.63 -3.30 ... ... III 28 MIR 80 3.11 436 2.96 4.39 7902 67.4 -69.09 1.82× 10−9 III II 31 MIR 81 0.88 616 1.85 1.53 7978 9.32 -12.03 1.70× 10−14 III II/III 33 MIR 83 2.15 280 1.93 2.78 6835 15.1 -4.92 ... ... III 34 V621 Ori 4.30 309 2.05 2.96 4828 4.27 -3.54 ... ... III 35 MIR 86 3.87 550 0.22 2.86 3119 0.93 -3.61 1.07× 10−7 I II 36 2.88 309 1.60 1.91 4847 1.82 -3.61 2.70× 10−13 III II/III 38 0.07 199 0.33 0.47 3500 0.01 -3.71 ... ... III 41 0.55 166 0.35 0.77 3567 0.09 -3.08 2.54× 10−10 III II/III 42 V622 Ori 0.11 407 1.52 1.83 4759 1.54 -3.27 1.13× 10−13 III III 43 0.37 182 0.24 0.82 3343 0.08 -3.84 1.53× 10−11 III II/III 44 0.51 257 0.31 0.29 3556 0.02 -3.52 7.88× 10−12 III II/III 45 V623 Ori 0.13 309 0.26 0.27 3401 0.01 -3.76 1.09× 10−8 III II/III 46 0.07 500 0.13 0.15 3052 0.002 -2.89 3.07× 10−11 III II 47 1.49 148 0.73 0.61 4331 0.13 -3.80 3.00× 10−14 III III 48 0.09 275 0.36 1.00 3548 1.43 -3.64 ... ... III 49 0.29 398 0.17 0.16 3042 0.20 -2.63 ... ... III 50 1.37 190 0.46 1.11 3706 0.21 -3.02 ... ... III (a) Evolutionary stage parameter from Robitaille et al. (2007). (b) Infrared class based on the SEDs (Tables A2 and A3). A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 15 Figure A1. IRAS 100µm mosaic of the complex molecular system Orion A, Orion B and Monoceros. CO map contours are overplotted as continuous lines. The light open circle in the center of the image represents the position and field of view of the XMM-Newton observation. 16 M. A. López-Garćıa et al. Figure A2. Spitzer-IRAC channel 1 (3.6 µm) image of the NGC 2023 nebula and its surroundings. The Horsehead Nebula is visible at the right, bottom corner. X-ray sources detected in the XMM-Newton observation are marked and numbered in magenta. To avoid confusion, the numbers of the likely spurious X-ray sources identified with numbers 11 and 12 (probable multi-detection of Src 10), 23 and 25 (multi-detection of Src 20) and 29 (multi-detection of Src 28) have been removed (see Section 3). A comprehensive study of NGC 2023 with XMM-Newton and Spitzer 17 A3.1: Source 1 A3.2: Source 3 A3.3: Source 4 A3.4: Source 5 A3.5: Source 6 A3.6: Source 14 A3.7: Source 15 A3.8: Source 20 A3.9: Source 21 A3.10: Source 22 A3.11: Source 27 A3.12: Source 33 A3.13: Source 34 A3.14: Source 38 A3.15: Source 42 A3.16: Source 47 A3.17: Source 48 A3.18: Source 49 A3.19: Source 50 Figure A3. Spectral energy distribution of objects classified as class III in Table A3. The solid black lines indicate the best-fitting model using Robitaille et al. (2007). Gray lines are other models with low χ2 values similar to that of the best-fitting model ((χ2 −χ2 best )/χ2 6 10%). The dashed lines represent the stellar photosphere for the accepted model. 18 M. A. López-Garćıa et al. A4.1: Source 10 A4.2: Source 13 A4.3: Source 17 A4.4: Source 18 A4.5: Source 28 A4.6: Source 31 A4.7: Source 35 A4.8: Source 36 A4.9: Source 41 A4.10: Source 43 A4.11: Source 44 A4.12: Source 45 A4.13: Source 46 Figure A4. Same as Fig. A3 for stars classified as class I/II, II and II/III in Table A3. The dashed lines are the unabsorbed stellar SED.