chandra_aca

Submodules

• chandra_aca.aca_image
• chandra_aca.attitude
• chandra_aca.centroid_resid
• chandra_aca.cubic_spline
• chandra_aca.dark_model
• chandra_aca.dark_subtract
• chandra_aca.darkbins
• chandra_aca.drift
• chandra_aca.maude_decom
• chandra_aca.planets
• chandra_aca.plot
• chandra_aca.star_probs
• chandra_aca.tests
• chandra_aca.transform

Functions

broadcast_arrays(*args)	Broadcast *args inputs to same shape.
broadcast_arrays_flatten(*args)	Broadcast *args inputs to same shape and flatten.
pixels_to_yagzag(row, col[, allow_bad, flight, t_aca, ...])	Convert ACA row/column positions to ACA y-angle, z-angle.
yagzag_to_pixels(yang, zang[, allow_bad, pix_zero_loc])	Convert ACA y-angle/z-angle positions to ACA pixel row, column.
_poly_convert(y, z, coeffs[, t_aca])
radec_to_eci(ra, dec)	Convert from RA,Dec to ECI.
eci_to_radec(eci)	Convert from ECI vector(s) to RA, Dec.
mag_to_count_rate(mag)	Convert ACA mag to count rate in e- / sec
count_rate_to_mag(count_rate)	Convert count rate in e- / sec to ACA mag
snr_mag_for_t_ccd(t_ccd, ref_mag, ref_t_ccd[, scale_4c])	Calculate signal-to-noise equivalent magnitude.
calc_aca_from_targ(targ, y_off, z_off[, si_align])	Calculate PCAD (ACA) pointing attitude.
calc_targ_from_aca(aca, y_off, z_off[, si_align])	Calculate target attitude.
calc_target_offsets(aca, ra_targ, dec_targ[, si_align])	Calculate target offsets.
radec_to_yagzag(ra, dec, q_att)	Calculate ACA Y-angle, Z-angle from RA, Dec and pointing quaternion.
yagzag_to_radec(yag, zag, q_att)	Calculate RA, Dec from ACA Y-angle, Z-angle and pointing quaternion.
normalize_vector(vec[, ord])	Normalize vec over the last dimension.
test(*args, **kwargs)	Run py.test unit tests.