Transendental Algebra.

These functions are useful not only for basic calculation but also for applying non-linear functions to data sets in order to achieve random uniform errors.

• sqrt - take square-root of TOS image with sign preserved. Applied to probalitiy or ``frequency" image (ie: one with Poisson characteristics) this will result in an image which has uniform random noise (Tina memo 2001-001).
• csqrt - complex square-root of TOS.
• sqr - take square of TOS image.
• log - take logarithm of TOS. Applied to an image which has errors proportional to data value this will result in an image which has uniform random noise.
• exp - exponentiate TOS.
• sin - take trigonometric sine of TOS.
• asin - take trigonometric inverse sine of TOS. Applied to an image with binomial error distribution this will result in an image with uniform random noise (Tina memo 2002-007).