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Blending

The real-world effects of crowding on microlensing analysis

Authors: R.A. Street

Contributors: Y. Tsapras

Photometry in crowded fields

Crowded starfield containing a microlensing event

Point Spread Functions (PSF)

PSF of an isolated star

Blended Point Spread Functions

PSFs of blended stars

Measuring Flux

Blending results in light from the neighbors contaminating the flux of the lensed star, fλ,s, measured at time t.

PSFs of isolated stars

Isolated lensed star:

$$f_{\lambda}(t) = f_{\lambda,s}(t)A(u(t))$$

PSFs of blended stars

Blended star:

$$f_{\lambda}(t) = f_{\lambda, s}(t)A(u(t)) + f_{\lambda, b}(t)$$

where fλ(t) = measured flux, A(u(t)) = magnification at angular separation u, and fb(t) = blend flux. You may also see the blend ratio, g = fb/fs.

This is strongly time and wavelength dependent - so fs, fb are measured for each dataset

Blending in microlensing light curves

Schematic microlensing lightcurve showing blending

Blending can make tE appear shorter, leading to a mis-estimation of the lens parameters.

It can be a symmetrical change in the light curve, mimicing the parallax component πE,⊥.

Dealing with Blending

We need observations at a range of different magnifications

Plot of simulated flux versus lensing magnification

Only the source star is magnified, and A(u(t)) can usually be considered to be the same for all observers.

By measuring the total flux as a function of time for each telescope, we can find the best-fit model for A(u(t)) that includes both source and blend fluxes.

Further reading