X-ray Binaries in Nearby Galaxies Vicky Kalogera Northwestern University with Chris Belczynski (NU) Andreas Zezas and Pepi Fabbiano (CfA)

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Presentation transcript:

X-ray Binaries in Nearby Galaxies Vicky Kalogera Northwestern University with Chris Belczynski (NU) Andreas Zezas and Pepi Fabbiano (CfA)

XLF observations some of the puzzles: What determines the shape of XLFs ? Is it a result of a blend of XRB populations ? How does it evolve ? Are the reported breaks in XLFs real or due to incompleteness effects ? If they are real, are they caused by > different XRB populations ? ( Sarazin et al ) > age effects ? ( Wu 2000; Kilgaard et al ) > both ? (VK, Jenkins, Belczynski 2003)

Theoretical Modeling Current status: observations-driven observations present us with a challenge and opportunity for progress in the study of global XRB population properties. Population Synthesis Calculations: necessary Basic Concept of Statistical Description: evolution of an ensemble of binary and single stars with focus on XRB formation and their evolution through the X-ray phase.

courtesy Sky & Telescope Feb 2003 issue How do X-ray binaries form ? primordial binary X-ray binary at Roche-lobe overflow Common Envelope: orbital contraction and mass loss NS or BH formation

Population Synthesis Elements Star formation conditions: > time and duration, metallicity, IMF, binary properties Modeling of single and binary evolution > mass, radius, core mass, wind mass loss > orbital evolution: e.g., tidal synchronization and circularization, mass loss, mass transfer > mass transfer modeling: stable driven by nuclear evolution or angular momentum loss thermally unstable or dynamically unstable > compact object formation: masses and supernova kicks > X-ray phase: evolution of mass-transfer rate and X-ray luminosity

Population Synthesis with 'StarTrack' Single-star models from Hurley et al Tidal evolution of binaries included > important for wind-fed X-ray binaries tested with measured P orb contraction (e.g., LMC X-4; Levine et al. 2000) Mass transfer calculations ( M and L x ) > wind-fed: Bondi accretion > Roche-lobe overflow: M based on radial response of donor and Roche lobe to mass exchange and possible loss from the binary (tested against detailed mass-transfer calculations) > also included: Eddington-limited accretion ( testable) thermal-time scale mass transfer, transient behavior Belczynski et al. 2001,2003..

Example of Mass-Transfer Calculation time (yr) log[ M / (M o /yr) ]. Comparison between a detailed caclulation with a full stellar evolution code (N. Ivanova) and the semi-analytic treatment implemented in StarTrack BH mass: 4.1M o donor mass: 2.5M o choice of masses from Beer & Podsiadlowski 2002 Results in very good agreement ( within 20-50%) semi-analytic calculation most appropriate for statistical modeling of large binary populations

NGC 1569 (post-)starburst galaxy at 2.2Mpc with well-constrained SF history: > ~100Myr-long episode, probably ended 5-10Myr ago, Z ~ 0.25 Z o > older population with continuous SF for ~ 1.5Gyr, Z ~ or , but weaker in SFR than recent episode by factors of >10 Vallenari & Bomans 1996; Greggio et al. 1998; Aloisi et al. 2001; Martin et al courtesy Schirmer, HST courtesy Martin, CXC,NOAO

log [ L x / (erg/s) ] log [ N( > L x )] Normalized Model XLFs non-monotonic behavior 10 Myr strong winds from most massive stars 50 Myr 100 Myr 150 Myr 200 Myr Roche-lobe overflow XRBs become important XLF dependence on age (cf. Grimm et al.; Wu; Kilgaard et al.)

log [ L x / (erg/s) ] log [ N( > L x )] all XRBs at ~100 Myr std model no BH kicks at birth Z = Z o stellar winds reduced by 4 Normalized Model XLFs XLF dependence on model parameters

Belczynski, VK, Zezas, Fabbiano 2003 NGC 1569 XLF modeling Hybrid of 2 populations:  underlying old  starburst young Old: 1.5 Gyr Young: 110 Myr SFR Y/O: 20 Old: 1.5 Gyr Young: 70 Myr SFR Y/O: 20 Old: 1.3 Gyr Young: 70 Myr SFR Y/O: 40

XLF bumps and breaks log [ L x / (erg/s) ] log [ N( > L x )] all young XRBs at ~100Myr Eddington-limited accretion no Eddington limit imposed Normalized Model XLFs more in VK, Jenkins, Belczynski 2003 Arons et al Shaviv Begelman et al

Conclusions Current understanding of XRB formation and evolution produces XLF properties consistent with observations Model XLFs can be used to constrain star-formation properties, e.g., age and metallicity Shape of model XLFs appear robust against variations of most binary evolution parameters 'Broken' power-laws seem to be due to Eddington-limited accretion

What's coming next... Choose a sample of galaxies with relatively well-understood star-formation histories and > indentify XRB models that best describe the XLF shape > use the results to 'calibrate' population models for different galaxy types (spirals, starburst, ellipticals) and derive constraints on the star-formation history of other galaxies Use the number of XRBs, to examine correlation with SFR and constrain binary evolution parameters that affect the absolute normalization of the XLF but not its shape

What's coming next... How are XLFs different if dynamical processes are important ? ( work by N.Ivanova with Belczynski, Rasio, & VK) Physical origin of ULXs: > Can transient behavior distinguish between IM and stellar-mass BH ? (VK, Henninger, Ivanova, & King 2003 & work with Ivanova, Belczynski) > How does their presence correlate with SFR, metallicity and age of the population ?