From 2788663e2dda5edae69bed524ff8c8a12a4e4cf4 Mon Sep 17 00:00:00 2001 From: Tyler Pritchard Date: Fri, 2 Feb 2024 22:41:44 -0500 Subject: [PATCH] updated tesscut t_min, t_max --- src/newlk_search/search.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/src/newlk_search/search.py b/src/newlk_search/search.py index d9181b0..f87ea38 100644 --- a/src/newlk_search/search.py +++ b/src/newlk_search/search.py @@ -1031,6 +1031,7 @@ def _search_products( tesscut_desc=[] tesscut_mission=[] tesscut_tmin=[] + tesscut_tmax=[] tesscut_exptime=[] tesscut_seqnum=[] @@ -1048,9 +1049,10 @@ def _search_products( log.debug(f"Target Observable in Sector {sector}, Camera {camera}, CCD {ccd}") tesscut_desc.append(f"TESS FFI Cutout (sector {sector})") tesscut_mission.append(f"TESS Sector {sector:02d}") - tesscut_tmin.append([row[5]]) + tesscut_tmin.append(row[5]- 2400000.5) # Time(row[5], format="jd").iso) + tesscut_tmax.append(row[6]- 2400000.5) # Time(row[6], format="jd").iso) tesscut_exptime.append(_tess_sector2exptime(sector)) - tesscut_seqnum.append([sector]) + tesscut_seqnum.append(sector) # Build the ffi dataframe from the observability n_results = len(tesscut_seqnum) @@ -1059,6 +1061,7 @@ def _search_products( "target_name" : [str(target)] * n_results, "targetid" : [str(target)] * n_results, "t_min" : tesscut_tmin, + "t_max" : tesscut_tmax, "exptime" : tesscut_exptime, "productFilename" : ["TESScut"] * n_results, "provenance_name" : ["TESScut"] * n_results, @@ -1077,7 +1080,6 @@ def _search_products( ffi_result))#.sort_values(["distance", # "obsid", # "sequence_number"]) - return query_result # Add in the start and end times for each observation if query_result is not None: print(pd.to_datetime([Time(x + 2400000.5, format="jd").iso for x in query_result['t_min']]))