Proseco¶
Proseco is a Python package to allow for selection of acquisition stars, guide stars, and fiducial lights for the Chandra ACA star tracker during operations.
For acquisition stars and fid lights, proseco uses a probabilistic evalation of the catalog to minimize the chance of a safing event and loss of science. For guide stars, proseco uses a staged approach to select optimal stars.
Getting Started¶
From a top-level perspective the main interface into proseco is a single
function get_aca_catalog()
.
Arguments¶
As can be seen from the docstring, get_aca_catalog()
takes a long list of arguments which are required to fully specify:
Required
Argument |
Description |
---|---|
obsid |
|
att |
attitude (any object that can initialize Quat) |
n_acq |
desired number of acquisition stars (default=8) |
n_fid |
desired number of fid lights (req’d unless obsid spec’d) |
n_guide |
desired number of guide stars + monitor windows (see note below) |
man_angle |
maneuver angle (deg) |
t_ccd_acq |
ACA CCD temperature for acquisition (degC) |
t_ccd_guide |
ACA CCD temperature for guide (degC) |
date |
date of acquisition (any DateTime-compatible format) |
dither_acq |
acq dither size (2-element sequence (y, z), arcsec) |
dither_guide |
guide dither size (2-element sequence (y, z), arcsec) |
detector |
‘ACIS-S’ | ‘ACIS-I’ | ‘HRC-S’ | ‘HRC-I’ |
Optional
Argument |
Description |
---|---|
target_name |
Target name, e.g. from the OR list (str) |
duration |
Observation duration (secs) |
man_angle_next |
Manvr angle to next attitude after observation (deg, default=180) |
sim_offset |
SIM translation offset from nominal [steps] (default=0) |
focus_offset |
SIM focus offset [steps] (default=0) |
target_offset |
target offset including dynamical offset (y, z, deg) |
include_ids_acq |
int or list of AGASC IDs of stars to include in acq catalog |
include_halfws_acq |
int or list of acq halfwidths corresponding to |
exclude_ids_acq |
int or list of AGASC IDs of stars to exclude from acq catalog |
include_ids_guide |
int or list of AGASC IDs of stars to include in guide catalog |
exclude_ids_guide |
int or list of AGASC IDs of stars to exclude from guide catalog |
include_ids_fid |
int or list of fid IDs to include from fid catalog |
exclude_ids_fid |
int or list of fid IDs to exclude from fid catalog |
img_size_guide |
readout window size for guide stars (6, 8, or |
stars |
table of AGASC stars (will be fetched from agasc if None) |
monitors |
N x 5 array of monitor star specifications (see Monitor stars) |
t_ccd_eff_acq |
ACA CCD effective temperature for acquisition (degC) |
t_ccd_eff_guide |
ACA CCD effective temperature for guide (degC) |
dark |
1024x1024 dark image (e-/sec, default=None => auto-fetch) |
dark_date |
date of dark cal (str) |
The input n_guide
parameter represents the number of slots available for the
combination of guide stars and monitor windows (including both fixed and
tracking monitor windows). In most normal situations, n_guide
is equal to
8 - n_fid
. The n_guide
parameter is confusingly named but this is
because the actual number of guide stars is not known in advance in the case of
auto-conversion from a monitor request to a guide star. In actual practice,
what is normally known is how many slots are available for the combination of
guide stars and monitor windows, so this makes the call to catalog creation
simpler.
Within the include_halfws_acq
list, one can supply the value 0
for a
star instead of a typical legal value such as 60
or 120
. In that case
proseco will run the normal optimization and choose the best halfwidth for that
included star. If the include_halfws_acq
argument is not supplied or set
to []
then all halfwidths will be chosen by proseco.
The two optional effective temperatures are normally not supplied and will be
computed based on the current ACA penalty limit. Likewise, the dark_date
is
normally derived as the date of the most recent dark cal before date
.
However, for reproducing catalog selection it may be required to provide all of
those arguments.
Debug
Argument |
Description |
---|---|
optimize |
optimize star catalog after initial selection (default=True) |
verbose |
provide extra logging info (mostly calc_p_safe) (default=False) |
print_log |
print the run log to stdout (default=False)’ |
raise_exc |
raise exception if it occurs in processing (default=True) |
Examples¶
For generating a catalog corresponding to an actual scheduled observation, the
easiest strategy is to simply provide the obsid
as a parameter. Proseco
will then fetch all necessary data via the mica.starcheck
archive. This
requires installation of the cmd_states.db3
and starcheck.db3
data
files into the correct locations. See Data requirements for details.
>>> from proseco.catalog import get_aca_catalog
>>> aca = get_aca_catalog(19387)
>>> aca
<ACACatalogTable length=11>
slot idx id type sz p_acq mag maxmag yang zang dim res halfw
int64 int64 int64 str3 str3 float64 float64 float64 float64 float64 int64 int64 int64
----- ----- -------- ---- ---- ------- ------- ------- -------- -------- ----- ----- -----
0 1 2 FID 8x8 0.000 7.00 8.00 -773.20 -1742.03 1 1 25
1 2 4 FID 8x8 0.000 7.00 8.00 2140.23 166.63 1 1 25
2 3 5 FID 8x8 0.000 7.00 8.00 -1826.28 160.17 1 1 25
3 4 38280776 BOT 6x6 0.985 8.77 10.27 -2254.09 -2172.43 20 1 160
4 5 37879960 BOT 6x6 0.984 9.20 10.70 -567.34 -632.27 20 1 80
5 6 37882072 BOT 6x6 0.956 10.16 11.66 2197.62 1608.89 20 1 80
6 7 37879992 ACQ 6x6 0.933 10.41 11.91 318.47 -1565.92 20 1 60
7 8 37882416 ACQ 6x6 0.901 10.41 11.91 481.80 2204.44 20 1 80
0 9 37880176 ACQ 6x6 0.584 10.62 12.12 121.33 -1068.25 20 1 60
1 10 37881728 ACQ 6x6 0.057 10.76 12.26 2046.89 1910.79 20 1 100
2 11 37880376 ACQ 6x6 0.084 10.80 12.30 -1356.71 1071.32 20 1 100
The catalog represented by the aca
object is the “merged” version of the
acquisition, guide, and fid catalogs. It corresponds to the uplinked catalog
and what is reviewed in starcheck.
The component catalogs are available in acqs
, guides
, and fids
attributes:
>>> aca.acqs
<AcqTable length=8>
id ra dec yang zang row ... slot maxmag dim sz res
int32 float64 float64 float64 float64 float64 ... int64 float32 int64 str3 int64
-------- ---------- -------- -------- -------- ------- ... ----- ------- ----- ---- -----
38280776 188.538857 3.077618 -2254.09 -2172.43 460.83 ... 3 10.27 20 6x6 1
37879960 188.579307 2.444460 -567.34 -632.27 119.53 ... 4 10.70 20 6x6 1
37882072 188.584100 1.455829 2197.62 1608.89 -436.73 ... 5 11.66 20 6x6 1
37879992 188.222720 2.414842 318.47 -1565.92 -58.45 ... 6 11.91 20 6x6 1
37882416 189.011634 1.723922 481.80 2204.44 -90.05 ... 7 11.91 20 6x6 1
37880176 188.364941 2.371052 121.33 -1068.25 -18.64 ... 0 12.12 20 6x6 1
37881728 188.675737 1.435994 2046.89 1910.79 -406.36 ... 1 12.26 20 6x6 1
37880376 189.086022 2.319189 -1356.71 1071.32 278.91 ... 2 12.30 20 6x6 1
>>> aca.guides
<GuideTable length=3>
id ra dec yang zang row ... maxmag p_acq dim res halfw sz
int32 float64 float64 float64 float64 float64 ... float32 int64 int64 int64 int64 str3
-------- ---------- -------- -------- -------- ------- ... ------- ----- ----- ----- ----- ----
38280776 188.538857 3.077618 -2254.09 -2172.43 460.83 ... 10.27 0.000 1 1 25 6x6
37879960 188.579307 2.444460 -567.34 -632.27 119.53 ... 10.70 0.000 1 1 25 6x6
37882072 188.584100 1.455829 2197.62 1608.89 -436.73 ... 11.66 0.000 1 1 25 6x6
>>> aca.fids
<GuideTable length=3>
id ra dec yang zang row ... maxmag p_acq dim res halfw sz
int32 float64 float64 float64 float64 float64 ... float32 int64 int64 int64 int64 str3
-------- ---------- -------- -------- -------- ------- ... ------- ----- ----- ----- ----- ----
38280776 188.538857 3.077618 -2254.09 -2172.43 460.83 ... 10.27 0.000 1 1 25 6x6
37879960 188.579307 2.444460 -567.34 -632.27 119.53 ... 10.70 0.000 1 1 25 6x6
37882072 188.584100 1.455829 2197.62 1608.89 -436.73 ... 11.66 0.000 1 1 25 6x6
Each of the individual catalogs also has a warnings
attribute that is a
list of any warnings which occurred in processing:
>>> aca.guides.warnings
['WARNING: Selected only 3 guide stars versus requested 5']
Finally, in the event of an unhandled exception within the acq, guide, and fid
selection code, there is an exception
attribute on the top-level aca
object. If an exception occurs then the output table will have zero length
with a single id
column:
>>> aca = get_aca_catalog(19387, detector='FAIL')
>>> len(aca['id'])
0
>>> print(aca.exception)
Traceback (most recent call last):
File "/Users/aldcroft/git/proseco/proseco/catalog.py", line 43, in get_aca_catalog
aca = _get_aca_catalog(obsid=obsid, **kwargs)
File "/Users/aldcroft/git/proseco/proseco/catalog.py", line 102, in _get_aca_catalog
aca.fids = get_fid_catalog(acqs=aca.acqs, **fid_kwargs)
File "/Users/aldcroft/git/proseco/proseco/fid.py", line 51, in get_fid_catalog
fids.meta['cand_fids'] = fids.get_fid_candidates()
File "/Users/aldcroft/git/proseco/proseco/fid.py", line 258, in get_fid_candidates
self.meta['sim_offset'])
File "/Users/aldcroft/git/proseco/proseco/fid.py", line 416, in get_fid_positions
ypos = FID.fidpos[detector][:, 0]
KeyError: 'FAIL'
Monitor stars¶
Monitor stars in a catalog are specified withe the monitors
keyword.
This can accept a list of lists (or 2-d array of floats) in the form:
[
[coord0, coord1, coord_type, mag, function], # Monitor window 1 (req'd)
[coord0, coord1, coord_type, mag, function], # Monitor windows 2, 3, ... N (optional)
..
]
If passed as a list of lists, the input will be converted to a numpy 2-d array
(np.array(monitors)
) which will have shape (N, 5)
where N
is the number of
monitor windows. Enumeration codes related to the monitors
keyword are
defined in the module proseco.characteristics
:
class MonFunc:
AUTO = 0
GUIDE = 1
MON_TRACK = 2
MON_FIXED = 3
class MonCoord:
RADEC = 0
ROWCOL = 1
YAGZAG = 2
The 5 values [coord0, coord1, coord_type, mag, function]
in a monitor window
specification are:
coord0
: first coordinate: RA (deg), row (pixel), or Y angle (arcsec))coord1
: second coordinate: Dec (deg), column (pixel), or Z angle (arcsec)coord_type
:MonCoord.RADEC
: RA/Dec (deg)MonCoord.ROWCOL
: row/column (pixel)MonCoord.YAGZAG
: Y/Z angle (arcsec)
mag
: star magnitude (used for commanded MAXMAG for monitor window requests)function
:MonFunc.AUTO
: Schedule as a guide star if it meets requirements and does not introduce critical warnings, otherwise schedule as a monitor window that tracks the brightest star.MonFunc.GUIDE
: Schedule as a guide star if a corresponding star is found in the AGASC within 2 arcsec, otherwise raise an exception.MonFunc.MON_TRACK
: Schedule as monitor window that tracks the brightest star.MonFunc.MON_FIXED
: Schedule as monitor window that is fixed on the CCDwith no tracking.
The typical use cases are as follows:
OR-specified monitor target with
function=MonFunc.AUTO
This is the most common configuration and lets proseco decide how to schedule the OR.
Coordinates provided as RA, Dec.
OR-specified monitor target
function=MonFunc.GUIDE
Force scheduling as a guide star in a case where proseco would normally schedule as a monitor window.
For instance a star where the observer provides information on mag or variability that is different from the AGASC (e.g. brighter).
OR-specified monitor target
function=MonFunc.MON_TRACK
Force scheduling as a monitor window in a case where proseco would normally schedule as a guide star.
For instance a star where the observer provides information on mag or variability that is different from the AGASC (e.g. fainter or more variable).
Fixed-location ER monitor window
function=MonFunc.MON_FIXED
Used for engineering investigation, e.g. looking at a specific flickering pixel.
coord0,1
as Y/Z angle or (most commonly) row/column.
Data requirements¶
Required data files are:
$SKA/data/agasc/proseco_agasc_<latest>.h5
$SKA/data/mica/archive/aca_dark/<YYYYddd>/image.fits
$SKA/data/mica/archive/aca_dark/<YYYYddd>/properties.json
The following optional data files are needed for specifying only an
obsid
in the call to get_aca_catalog()
:
$SKA/data/cmd_states/cmd_states.db3
$SKA/data/mica/archive/starcheck/starcheck.db3
See Syncing Ska data for details on automatically syncing these files for a standalone linux or Mac environment. For Matlab tools on Windows a separate mechanism will be provided.
Environment Variables¶
The following environment variables are used by proseco:
AGASC_DIR
: path to AGASC directory for getting AGASC star data. This overrides the default value of$SKA/data/agasc
.AGASC_HDF5_FILE
: path to AGASC HDF5 file for getting AGASC star data. This overrides the default value of<default_agasc_dir>/proseco_agasc_<latest>.h5
, where<default_agasc_dir> = $AGASC_DIR or $SKA/data/agasc
. If this is a relative path then it is relative to<default_agasc_dir>
.AGASC_SUPPLEMENT_ENABLED
: set to"False"
to disable using the AGASCsupplement. This is for testing and should not be used in production.
PROSECO_DISABLE_OVERLAP_PENALTY
: if set to"True"
then disable the overlap penalty in the acq star selection. This is for testing and should not be used in production.PROSECO_ENABLE_FID_OFFSET
: controls application of time and temperature dependent fid light position offsets (from the ACA drift model) in ~proseco.fid.get_fid_positions: - Not set: apply offsets if time and temperature are provided (as is done inproseco
fidselection since version 5.12.0)
"True"
: require that time and temperature be provided and apply offsets."False"
: do not apply offsets (typically used in regression testing not production).
PROSECO_IGNORE_MAXAGS_CONSTRAINTS
: if set then do not updatemaxmag
in the catalog to prevent search hits clipping.PROSECO_OR_IMAGE_SIZE
: override the default OR image size of 8x8. Can be one of “4”, “6”, or “8”.PROSECO_PRINT_OBC_CAT
: if set then create and print a debug catalog while doing catalog merging.SKA
: root directory that contains ‘data’ directory
API docs¶
Unit Testing¶
- Unit tests
- Catalog
test_aca_acqs_include_exclude()
test_allowed_kwargs()
test_bad_pixel_dark_current()
test_big_dither_from_mica_starcheck()
test_big_sim_offset()
test_calling_with_t_ccd_acq_guide()
test_clip_maxmag()
test_copy_deepcopy_pickle()
test_dark_property()
test_dense_star_field_regress()
test_exception_handling()
test_fid_trap_effect()
test_force_catalog_from_starcheck()
test_get_aca_catalog_20259()
test_get_aca_catalog_20603()
test_get_aca_catalog_20603_with_supplement()
test_get_aca_catalog_49531()
test_img_size_guide()
test_img_size_guide_override_with_env()
test_includes_for_obsid()
test_monitors_and_target_offset_args()
test_no_candidates()
test_pickle()
test_reject_column_spoilers()
test_report_from_objects()
test_t_ccd_acq_attr()
test_t_ccd_attr()
test_t_ccd_effective_acq_guide()
test_t_ccd_effective_acq_guide_via_kwarg()
test_t_ccd_multi_attr()
- Acquisition
add_imposter()
add_spoiler()
calc_p_brightest()
get_dark_stars_simple()
setup_get_imposter_stars()
test_0_5_degree_man_angle_bin()
test_0_5_degree_man_angle_bin_diff_t_ccd()
test_acq_fid_catalog_n_fid()
test_acq_fid_catalog_one_cand_fid()
test_acq_fid_catalog_probs_low_level()
test_acq_fid_catalog_two_cand_fid()
test_acq_fid_catalog_zero_cand_fid()
test_acq_include_ids_all_halfws_full_catalog()
test_acq_include_ids_all_halfws_full_catalog_with_spoiler()
test_acq_include_ids_no_halfws()
test_acq_include_ids_no_halfws_full_catalog()
test_acq_include_optimize_halfw_ids()
test_bad_star_list()
test_bin2x2()
test_box_strategy_20603()
test_calc_p_brightest_1mag_brighter()
test_calc_p_brightest_same_bright()
test_calc_p_brightest_same_bright_asymm_dither()
test_calc_p_on_ccd()
test_calc_p_on_ccd_asymmetric_dither()
test_cand_acqs_include_exclude()
test_dither_as_sequence()
test_get_acq_catalog_19387()
test_get_acq_catalog_21007()
test_get_image_props()
test_get_imposters_3500()
test_get_imposters_5000()
test_get_p_man_err()
test_make_report()
test_n_acq()
test_no_candidates()
test_warnings()
- Guide
test_avoid_trap()
test_bad_star_list()
test_big_dither()
test_box_mag_spoiler()
test_check_mag_spoilers()
test_check_pixmag_offset()
test_check_spoil_contrib()
test_check_spoiler_cases()
test_color1_0p7()
test_common_column()
test_common_column_obsid_19904()
test_edge_star()
test_get_ax_range()
test_guides_include_bad()
test_guides_include_close()
test_guides_include_exclude()
test_make_report_guide()
test_obsid_19461()
test_overlap_spoiler()
test_overlap_spoiler_include()
test_pix_spoiler()
test_region_contrib()
test_select()
test_warnings()
- Fid
- Core
test_agasc_1p7()
test_agasc_1p8_or_later()
test_alias_attributes()
test_box_add()
test_box_eq()
test_box_greater()
test_box_init()
test_box_row_col_max()
test_calc_spoiler_impact()
test_calc_spoiler_impact_21068()
test_get_dim_res()
test_mag_err_clip()
test_pickle_stars()
test_starstable_from_stars()
- Catalog