ALMA: Unique ASDMs associated with a MOUS #3148
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The datalink query has the information, but not in a usable way: (i.e., the asdm names are all encoded into tarball names) |
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The data seem deeply inaccessible. Alma.query_tap("select * from ivoa.obscore where asdm_uid = 'uid://A002/X1048ed8/X5b0d'")gives zero hits, while Alma.query_tap("select * from ivoa.obscore where asdm_uid = 'uid://A002/X1044380/X10d6c'")gives 10. The latter corresponds to the first ASDM in the above list. There must be some other database or UID list that contains these... |
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Looking into it @keflavich |
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@andamian Is there any temporary workaround for this I could try? |
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Unfortunately the info doesn't seem to be available in the database that |
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Alright, thanks. I may be back to reverse engineering the web interface, then. |
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Easy enough (...ish) to retrieve the ASDMs: >>> resp = requests.post('https://almascience.nrao.edu/aq/service/api/search/observations/_search', data='{"_source":["asdms"],"query":{"terms":{"_id":["uid://A001/X3577/X6c5.source.Sgr_A_star_OFF_0"]}}}', headers={'Content-type':'application/json'})
>>> resp.json()
{'took': 1,
'timed_out': False,
'_shards': {'total': 5, 'successful': 5, 'skipped': 0, 'failed': 0},
'hits': {'total': 1,
'max_score': 1.0,
'hits': [{'_index': 'observations',
'_type': 'observation',
'_id': 'uid://A001/X3577/X6c5.source.Sgr_A_star_OFF_0',
'_score': 1.0,
'_source': {'asdms': ['uid://A002/X1044380/X10d6c',
'uid://A002/X1044380/Xe910',
'uid://A002/X1044380/Xf1ec',
'uid://A002/X1044380/Xfd16',
'uid://A002/X1048ed8/X40d6',
'uid://A002/X1048ed8/X4814',
'uid://A002/X1048ed8/X4fcf',
'uid://A002/X1048ed8/X5b0d',
'uid://A002/X1048ed8/X66c7',
'uid://A002/X1048ed8/Xccce']}}]}}next question (for my own notes): how do I find any useful metadata about these ASDMs? Stay tuned |
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The metadata I want are available on SNOOPI, but I have to login for that. Hacky. from astroquery.alma import Alma
Alma.login('keflavich')
self = Alma._auth
login_url = f'https://{self.get_valid_host()}{self._LOGIN_ENDPOINT}'
password=Alma._get_auth_info('keflavich')[1]
username='keflavich'
login_response = self._request('POST', login_url, data=data, cache=False)
data = {'username': username, 'password': password, 'grant_type': self._GRANT_TYPE, 'client_id': self._CLIENT_ID}
resp2 = requests.post('https://asa.alma.cl/snoopi/restapi/schedblock/uid:%7C%7CA001%7CX15b4%7CXc3?authormode=pi&', data={'authormode': 'pi'}, headers={'Authorization': f'Bearer {login_response.json()["access_token"]}'})
resp2.raise_for_status()
resp2.json()result: {'notes': '',
'dec': '-29d 3m 39.7s',
'offdec': '',
'standardMode': 'true',
'sensitivityUnit': 'mJy',
'unitDependencyDelayUnit': 's',
'frequency': '100.50343083087068',
'offra': '',
'expexecutions': '8',
'band': 'ALMA_RB_03',
'minAcceptableAngResolutionUnit': 'arcsec',
'parentObsUnitSetStatusId': 'uid://A001/X15b4/Xc5',
'singlePoints': True,
'rectanglesCount': 0.0,
'temporal': False,
'ousState': 'Delivered',
'qa0PassCount': 7,
'isMosaic': 'true',
'ra': '17h 45m 47.7s',
'receiverBandName': 'ALMA_RB_03',
'totaltime': 30182,
'obsprojectuid': 'uid://A001/X1525/X290',
'name': 'Sgr_A_st_i_updated_03_7M',
'boolean_totalPowerRectangle': False,
'rectangle': False,
'sensitivity': '0.5877559508105298',
'maxAcceptableAngResolution': '0.0',
'sourcesCount': 1,
'temporalConstraints': [],
'frequencyUnit': 'GHz',
'pointsCount': 89.0,
'modeName': 'Standard Interferometry',
'flag': None,
'schedblockuid': 'uid://A001/X15b4/Xc3',
'executionFraction': 8.641,
'domainEntityState': 'ObservingTimedOut',
'targetCount': 52,
'nominalconfiguration': '7M',
'array': 'SEVEN-M',
'qa2status': 'SemiPass',
'lines': 'H13CN/others\tH13CO/SiO\tHCO+_v=0_1-0\tHNCO_v=0_4(0,4)-3(0,3)\tCont1\tCont2',
'isWeblogAvailable': True,
'targetType': 'F_MultiplePoints',
'sourceEphemeris': '',
'unitDependencyExecCount': '1',
'unitDependencyList': '',
'number_pointings': 52.0,
'executions': [{'date': '2022-08-08 05:18:31.485',
'execblockuid': 'uid://A002/Xfc8dc8/X96ae',
'hasObserveTargetIntent': 'true',
'time': '72.50951666666667',
'status': 'Pass'},
{'date': '2022-08-08 04:05:56.718',
'execblockuid': 'uid://A002/Xfc8dc8/X8c1e',
'hasObserveTargetIntent': 'true',
'time': '74.75793333333333',
'status': 'Pass'},
{'date': '2022-08-08 01:46:47.338',
'execblockuid': 'uid://A002/Xfc8dc8/X885c',
'hasObserveTargetIntent': 'true',
'time': '24.5578',
'status': 'Fail'},
{'date': '2022-08-05 01:51:25.21',
'execblockuid': 'uid://A002/Xfc69ac/X60f0',
'hasObserveTargetIntent': 'true',
'time': '74.87191666666666',
'status': 'Pass'},
{'date': '2022-08-04 02:41:08.277',
'execblockuid': 'uid://A002/Xfc69ac/X281',
'hasObserveTargetIntent': 'true',
'time': '43.07449999999999',
'status': 'SemiPass'},
{'date': '2022-08-03 03:38:48.358',
'execblockuid': 'uid://A002/Xfc5b59/X1921',
'hasObserveTargetIntent': 'true',
'time': '74.8749',
'status': 'Pass'},
{'date': '2022-08-01 05:18:54.294',
'execblockuid': 'uid://A002/Xfc434c/Xfe0',
'hasObserveTargetIntent': 'true',
'time': '56.15788333333333',
'status': 'Pass'},
{'date': '2022-08-01 04:22:40.848',
'execblockuid': 'uid://A002/Xfc434c/X39a',
'hasObserveTargetIntent': 'true',
'time': '74.4294',
'status': 'Pass'},
{'date': '2022-07-31 04:45:18.226',
'execblockuid': 'uid://A002/Xfc3353/X25ce',
'hasObserveTargetIntent': 'true',
'time': '75.49146666666667',
'status': 'Pass'},
{'date': '2022-07-31 03:28:47.219',
'execblockuid': 'uid://A002/Xfc3353/X25b5',
'hasObserveTargetIntent': 'true',
'time': '1.4182166666666667',
'status': 'Fail'}],
'scienceGoalName': 'SG OUS (cmz01)',
'visit': False,
'minAcceptableAngResolution': '0.0',
'maxAcceptableAngResolutionUnit': 'arcsec',
'unitDependencyDelay': '0.0'} |
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@andamian How can we get the list of ASDMs associated with a given MOUS? The online archive shows it:
but I can't figure out how to get at the ASDM list, even using query_tap:
(there should be 10 unique ASDM UIDs)
The use case here is that I want to determine how many executions were performed, how long they were, and the weather conditions (PWV) for each. I'm using this to assemble the metadata for a table publication. This can clearly be done with the online archive, but it's at best non-obvious and at worst not possible using TAP queries.
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