Embedded newform data - 168.2.ba.c.5.5

Formats: - HTML - YAML - JSON - 2024-09-15T16:50:14.512352

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 672, 'analytic_conductor': 1.3414867539575104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 168, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [168, 6, [127, 85, 113, 73], [6, 3, 3, 5]], 'cm_discs': [], 'conrey_index': 5, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [5184, 0, -55872, 0, 445432, 0, -1506760, 0, 3734769, 0, -2318580, 0, 963618, 0, -241512, 0, 44115, 0, -5472, 0, 498, 0, -28, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008985994690728, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 24, 8, -1, 2, 0], [1, 1, 56, 10, -1, 6, 0], [1, 1, 168, 27, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '168.2.ba.c', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '168.2.ba.c', 'prim_orbit_index': 27, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '168.2.ba', 'trace_display': [0, 0, 0, -4], 'traces': [48, 0, 0, 6, 0, 0, -4, 0, -14, -30, 0, -18, 0, 0, 4, 6, 0, 0, 0, 0, 0, -36, 0, -12, -8, 0, 0, -10, 0, 22, 48, 0, -42, 0, 0, 52, 0, 0, -8, -18, 0, 12, 0, 0, 0, -8, 0, 0, -36, 0, 0, -48, 0, 60, 0, 0, 4, 30, 0, -32, 0, 0, -6, -60, 0, 54, 0, 0, 0, 42, 0, 42, -36, 0, 0, 0, 0, -68, -56, 0, 42, 48, 0, 48, 0, 0, -132, 6, 0, 0, 0, 0, 0, 48, 0, 90, 0, 0, 0, 52, 0, 6, 60, 0, 4, 12, 0, 72, 0, 0, 0, 56, 0, -74, 0, 0, 0, 0, 0, -44, 24, 0, 0, 6, 0, -68, 24, 0, 12, -44, 0, 0, 0, 0, 4, 168, 0, -144, 0, 0, 0, -84, 0, -14, 60, 0, 0, -72, 0, -12, 24, 0, 0, 42, 0, -80, 0, 0, 78, 0, 0, 52, 0, 0, 0, -90, 0, -144, 64, 0, 0, 48, 0, 0, -112, 0, 22, -180, 0, -216, 0, 0, 172, -92, 0, -36, 0, 0, 0, 40, 0, -168, -32, 0, 0, 12, 0, 78, -12, 0, 18, 0, 0, 60, 0, 0, 2, -216, 0, 130, 0, 0, 0, -30, 0, 0, -168, 0, 0, -114, 0, 168, 0, 0, -56, 144, 0, -32, 0, 0, 162, 36, 0, 174, 0, 0, 0, 192, 0, 94, 48, 0, 0, 0, 0, -84, -8, 0, 88, 138, 0, 78, 0, 0, 102, 78, 0, 0, 0, 0, 0, 66, 0, 258, 0, 0, 0, 144, 0, 22, -24, 0, -20, -56, 0, 192, 0, 0, 0, 120, 0, -174, 0, 0, 0, 0, 0, -120, -36, 0, 0, 264, 0, -162, -224, 0, 0, 108, 0, 0, 0, 0, -2, 228, 0, -246, 0, 0, 0, -102, 0, 52, -144, 0, 0, 28, 0, -192, -156, 0, 0, -156, 0, -102, 0, 0, -234, 0, 0, 60, 0, 0, 0, -264, 0, -144, -56, 0, 0, 60, 0, 0, 104, 0, 74, -132, 0, -138, 0, 0, -368, -102, 0, -56, 0, 0, 0, 120, 0, -156, 4, 0, 0, -336, 0, 160, 120, 0, -36, 0, 0, 120, 0, 0, 50, -288, 0, 54, 0, 0, 0, 60, 0, 0, 108, 0, 0, -330, 0, 354, 0, 0, 4, 120, 0, -42, 0, 0, -92, 232, 0, 228, 0, 0, 0, 60, 0, 222, 192, 0, 0, 0, 0, -108, 4, 0, -32, 492, 0, 58, 0, 0, -138, -162, 0, 0, 0, 0, 0, 384, 0, 312, 0, 0, 0, 132, 0, -36, 144, 0, 202, -168, 0, 294, 0, 0, 0, 182, 0, -172, 0, 0, 0, 0, 0, -44, -32, 0, 0, 276, 0, -186, 496, 0, -222, 52, 0, 0, 0, 0, -14, -102, 0, -150, 0, 0, 0, -284, 0, 28, -96, 0, 0, -216, 0, -324, 96, 0, 0, -348, 0, -264, 0, 0, 282, 0, 0, 232, 0, 0, 0, -306, 0, -242, -56, 0, 0, 30, 0, 0, 84, 0, -56, -480, 0, -360, 0, 0, 148, -296, 0, 0, 0, 0, 0, 0, 0, -126, 12, 0, 0, -108, 0, 228, 0, 0, -78, 0, 0, 124, 0, 0, 76, -444, 0, 148, 0, 0, 0, -84, 0, 0, 252, 0, 0, -432, 0, 432, 0, 0, -12, 184, 0, 12, 0, 0, 202, 360, 0, 348, 0, 0, 0, 132, 0, 154, 192, 0, 0, 0, 0, 144, 120, 0, -172, 258, 0, 270, 0, 0, 192, -108, 0, 0, 0, 0, 0, 36, 0, 144, 0, 0, 0, 294, 0, 46, -144, 0, 24, -200, 0, 408, 0, 0, 0, 330, 0, -144, 0, 0, 0, 0, 0, -152, 232, 0, 0, 528, 0, -168, -728, 0, -108, 42, 0, 0, 0, 0, 36, 342, 0, -402, 0, 0, 0, -240, 0, 82, 240, 0, 0, -24, 0, -378, -320, 0, 0, -132, 0, -276, 0, 0, -360, 0, 0, 120, 0, 0, 0, -696, 0, -72, 24, 0, 0, -14, 0, 0, -132, 0, -2, -114, 0, -402, 0, 0, -524, -240, 0, -130, 0, 0, 0, 576, 0, -384, -120, 0, 0, -112, 0, 292, -180, 0, 6, 0, 0, 52, 0, 0, 6, -276, 0, 276, 0, 0, 0, -80, 0, 0, -300, 0, 0, -132, 0, 162, 0, 0, 160, 216, 0, -50, 0, 0, -320, 160, 0, 282, 0, 0, 0, 546, 0, 156, -324, 0, 0, 0, 0, -148, -24, 0, -8, 312, 0, 180, 0, 0, -174, 184, 0, 0, 0, 0, 0, 564, 0, 588, 0, 0, 0, 262, 0, 72, 312, 0, -204, -456, 0, 300, 0, 0, 0, 30, 0, -296, 0, 0, 0, 0, 0, 48, -152, 0, 0, 600, 0, -260, 840, 0, 42, 192, 0, 0, 0, 0, -2, 396, 0, -390, 0, 0, 0, -192, 0, -12, 240, 0, 0, -408, 0, -450, 268, 0, 0, -138, 0, -274, 0, 0, 354, 0, 0, 160, 0, 0, 0, -444, 0, -248, -552, 0, 0, 180, 0, 0, 104, 0, 82, 72, 0, -384, 0, 0, 692, -282, 0, -90, 0, 0, 0, 256, 0, -378, 148, 0, 0, -492, 0, 96, 72, 0, 252, 0, 0, 12, 0, 0, 28, -474, 0, 234, 0, 0, 0, 66, 0, 0, -188, 0, 0, -354, 0, 534, 0, 0, -40, 364, 0, -8, 0, 0, 180, 120, 0, 144, 0, 0, 0, 28, 0, 304, -36, 0, 0, 0, 0, -300, 196, 0, 208, 564, 0, 258, 0, 0, 354, -282, 0, 0, 0, 0, 0, 564, 0, 360, 0, 0, 0, 192, 0, 112, -768, 0, 148, 48, 0, 372, 0, 0, 0, 168, 0, -150, 0, 0, 0, 0, 0, -260, -240, 0, 0, 330, 0, -246, -360, 0, 366, 54, 0, 0, 0, 0, 144, 180, 0, -624, 0, 0, 0, -270, 0, 60, -144, 0, 0, -368, 0, -330, -8, 0, 0, -488, 0, -182, 0, 0, -492, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [-0.8947410012062798, 0.44658542381092575], [0.30516104167552593, -0.9523007606021892], [0.6011229184792317, -0.7991565784494369], [1.193246405522882, 0.6889211334381893], [0.15224354281108426, 0.9883430091179527], [-0.5529871217528729, -0.8331898002108963], [-0.1809576426500175, 0.9834908904339422], [-0.8137534772870159, -0.5812101841875194], [-1.375308619912135, -0.08351953296335046], [-0.18747386765262886, -0.3247142638657966], [-0.5775981215194872, -0.8163212664246594], [1.661207858712188, 0.0], [0.866870671013468, 0.4985330879055668], [1.0201924354530496, -0.926097568852987], [-0.277302473758022, -0.9607826695188051], [-0.14451579994848174, -0.25030870800723015], [0.9876585974314858, 0.15662214057939078], [-0.1408900962970896, 0.24402880506983093], [1.267843617572739, -0.5394644323503711], [-0.9621974065740801, 0.2723529893026958], [0.3127532131894863, 0.20681206891812032], [0.5357905609525723, 0.3093388245952282], [0.8813579002753406, 0.47244920533560314], [0.4492246561955188, 0.7780799285432997], [-1.486350782715883, 0.7418712156210229], [-0.8018127592675003, 0.5975753501240137], [-0.998262342445027, -0.05892618820327385], [-0.5940402435939037, 0.0], [-0.49922632584385535, 1.2842205371257238], [0.24064765109397293, -0.13893798613895642], [0.677185428664479, 0.7358124048998534], [-0.36643536119759396, 0.07944136375044451], [0.24108843198500512, 0.15942281424567173], [-0.08584783380163076, -1.3751652489146915], [-0.9536438073446591, 0.30093768244136976], [0.055069996890995704, 0.031794677529288225], [0.017080438486722877, -0.2812620407369505], [0.5069359206041811, -1.5819695073699505], [-0.893474715607913, 1.0488814255960472], [-1.47437333402416, 0.0], [0.7392885957622614, -0.6733887229348764], [0.0, 1.2642993417363293], [-0.37219237854665516, -0.045372211344885546], [-0.5706004328981933, -1.2541389310468884], [-0.6175399930266123, -0.037501874893410087], [-0.48754561938819857, 0.8444537837879978], [-0.999575978707358, -0.029118083577518203], [-0.3884104863509466, 0.9214864589849495], [-0.7494188732982097, -0.49556283080994934], [-0.28246976507148713, 0.06123804013403157], [0.9985901162297055, -1.3275651884617476], [0.7215779840646478, 1.2498097300230957], [0.4505463100128779, -0.8927530579806376], [0.0, -0.5166188375731606], [0.9195018244781109, -0.39308573464503294], [0.18939464812905832, 0.20863783021897755], [0.5315121623100317, -0.2652897139461291], [-0.4203767664896092, 0.24270463929384034], [-0.1268359102249225, -1.371991969462086], [-0.4052273007346553, 0.7018742734864161], [-0.15326964085445843, 0.23178324607645975], [-0.03426320402239875, 0.9994128440490043], [-0.9345086631330971, -0.35594038620138563], [1.982230306234682, 1.144441200900428], [0.2923873868567098, -0.23472413641900214], [1.3111677816562437, -0.7570030716919968], [-0.28690761007854937, -0.034975548859360016], [0.4580860036460243, -0.41583560077444554], [0.6909403322636861, 1.1920783403964628], [0.0, -0.7371096832179852], [0.718869832523972, -0.6951447071559681], [-1.0451337297561072, 0.6034082402138461], [-0.0634724236940251, -0.0038545437047544694], [0.8780519717920358, -0.1903573002751574], [0.11032495903178419, 0.25928455479077006], [-0.1668779781588651, 0.3357641205015076], [0.2529081697559586, 1.6418431738499946], [-0.7216600373097123, 1.2499518504124731], [0.3310133056183014, -1.3374900014185835], [0.3243894435934197, 0.9459236168344417], [1.3191822730366176, -0.658433640230707], [0.0, -0.5739376847918121], [-0.36074623013134044, 0.932664011016843], [0.0, -0.39823995480093866], [-0.564617657353193, -1.1312204588496035], [-0.18127793953229884, 0.5657049758027842], [0.3532783496548755, -0.12561931330678866], [0.73573415750974, -1.2743289416707528], [1.070619768659422, 0.867307686664129], [-0.918626552422506, -1.3841014439091788], [0.569286142338528, -0.24222989441674342], [-0.058874461992059306, -0.27156740175238436], [0.05910630470342971, -0.9732981910405434], [-0.33623320196054973, 0.1941243296624132], [0.9073653236653964, -0.42034291882888963], [0.0, -1.7412029148848085], [-0.06399563338515891, -0.9979501785698685], [-0.03616972540698188, 0.3731990824942166], [0.8918469298399255, 0.10872083825572486], [0.28598634827425995, -0.16511429516070206], [0.22538926430395803, -0.18093906508965646], [1.0608739654304526, 0.6124958695175375], [-0.30060825806424085, 1.6337827961607123], [-1.3357683268836524, -0.33789390240944783], [-1.2037722158757949, -0.7960097993320706], [-0.46309685764400493, 0.8021072862649082], [-0.00443175375393426, 0.9999901797311134], [0.0488897535309598, -0.0282265123617141], [0.23071444252631776, 0.46224005597223417], [0.04708331321056673, -0.04274070301108037], [-0.6471696236440647, 0.7623460357556794], [0.0, -0.6604247331232597], [-0.26263377092143875, -0.10209593189739712], [0.4262201073131637, 0.7382348810738587], [-0.3570912049232811, 0.47473116853177416], [-1.3518136715235607, -0.9655109255358654], [0.2677399747328539, -0.4048919283822084], [-0.12863928615426676, 0.25882658247699186], [0.7261969044509693, 1.1709343996812407], [0.4297070978947292, -0.7442745259266443], [0.04912666088852699, -0.8089642960185095], [-0.4499213024294308, 1.4040468474027932], [0.03362561273131718, -0.2758339611756298], [0.0, -0.1399208296179876], [-0.41566651505017116, -0.9095170961922848], [-0.5224260334335898, 0.0], [0.9951010051108197, -0.09886348986069816], [1.2039932247643534, 0.38581490411394], [-2.284673487552652, -0.13874330451468941], [-0.3214552052936315, -0.18559224930868454], [-0.15678660531492672, 0.3405932539031902], [0.28123272017664885, -0.017556595354892658], [-0.8350890361107812, 1.2628701057401113], [-1.368442480420487, 0.16066888364478882], [0.2723275726057592, -0.09683469903734586], [0.05765531261270183, -0.03328731025715542], [-0.2241622115333006, 0.5766396938542553], [-0.47050205076179286, 0.0], [-1.1505774555251893, -0.7580374866906112], [0.6553940515178648, 0.7219844604792317], [0.3291824402750412, 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-0.12429045533797353, -0.10495675985804413, -0.01079851842133518], 'char_orbit_index': 27, 'conrey_index': 5, 'dual_conrey_index': 101, 'dual_embedding_index': 5, 'dual_embedding_m': 29, 'embedding_index': 5, 'embedding_m': 5, 'hecke_orbit': 3, 'hecke_orbit_code': 9008985994690728, 'label': '168.2.ba.c.5.5', 'level': 168, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 672, 'analytic_conductor': 1.3414867539575104, 'char_conductor': 168, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [168, 6, [127, 85, 113, 73], [6, 3, 3, 5]], 'conrey_index': 5, 'cusp_dim': 56, 'dim': 56, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1786739949736, 'hecke_orbit_dims': [4, 4, 48], 'label': '168.2.ba', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 72, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 27, 'relative_dim': 28, 'sturm_bound': 64, 'trace_bound': 3, 'trace_display': [0, 0, 0, -8], 'traces': [56, 0, 0, -2, 0, 0, -8, 0, -2, -6, 0, -18, 0, 0, -20, -10, 0, 0, 0, 0, 0, -4, 0, -12, 8, 0, 0, -18, 0, 22, -12, 0, -6, 0, 0, 4, 0, 0, -8, -66, 0, 36, 0, 0, 0, -8, 0, 0, -16, 0, 0, -48, 0, 60, 0, 0, 4, 22, 0, -8, 0, 0, -30, 4, 0, 54, 0, 0, 0, 42, 0, 42, -36, 0, 0, 0, 0, -68, -36, 0, 6, 48, 0, 48, 0, 0, -24, -26, 0, 0, 0, 0, 0, 48, 0, 90, 0, 0, 0, 84, 0, 6, 60, 0, -56, -68, 0, 72, 0, 0, 0, 88, 0, -74, 0, 0, 0, 0, 0, -44, 0, 0, 0, 126, 0, -68, 112, 0, 12, -44, 0, 0, 0, 0, -32, 168, 0, -144, 0, 0, 0, -84, 0, 34, -72, 0, 0, -72, 0, -156, 20, 0, 0, -46, 0, -80, 0, 0, 114, 0, 0, 52, 0, 0, 0, -138, 0, -96, -40, 0, 0, 48, 0, 0, 48, 0, -14, -180, 0, -216, 0, 0, 172, -92, 0, -12, 0, 0, 0, 40, 0, -168, 20, 0, 0, -68, 0, 126, -12, 0, 18, 0, 0, 60, 0, 0, 2, -216, 0, 130, 0, 0, 0, -62, 0, 0, -84, 0, 0, -90, 0, 168, 0, 0, 40, 144, 0, -32, 0, 0, 66, 68, 0, 174, 0, 0, 0, 192, 0, 142, -12, 0, 0, 0, 0, -84, -8, 0, 28, 258, 0, 102, 0, 0, 102, 14, 0, 0, 0, 0, 0, 258, 0, 258, 0, 0, 0, 144, 0, 22, -156, 0, -20, -56, 0, 192, 0, 0, 0, 24, 0, -174, 0, 0, 0, 0, 0, -120, 32, 0, 0, 264, 0, -114, -344, 0, 108, 92, 0, 0, 0, 0, 22, 228, 0, -246, 0, 0, 0, -198, 0, 52, 60, 0, 0, -52, 0, -192, -64, 0, 0, -156, 0, -174, 0, 0, -234, 0, 0, 108, 0, 0, 0, -264, 0, -144, 32, 0, 0, 60, 0, 0, -32, 0, 74, -132, 0, -354, 0, 0, -368, -166, 0, -56, 0, 0, 0, 248, 0, -300, 80, 0, 0, -336, 0, 160, -108, 0, -36, 0, 0, 120, 0, 0, -82, -288, 0, 198, 0, 0, 0, 60, 0, 0, 96, 0, 0, -306, 0, 354, 0, 0, -20, 200, 0, -42, 0, 0, -92, 104, 0, 228, 0, 0, 0, 76, 0, 222, 132, 0, 0, 0, 0, -108, -8, 0, -32, 492, 0, 226, 0, 0, -138, -82, 0, 0, 0, 0, 0, 384, 0, 312, 0, 0, 0, 132, 0, 60, 348, 0, 142, -168, 0, 294, 0, 0, 0, 150, 0, -172, 0, 0, 0, 0, 0, -44, 44, 0, 0, 276, 0, -186, 288, 0, -114, 52, 0, 0, 0, 0, -14, 90, 0, -366, 0, 0, 0, -284, 0, 28, -96, 0, 0, -120, 0, -324, 92, 0, 0, -444, 0, -264, 0, 0, 318, 0, 0, 232, 0, 0, 0, -354, 0, -242, -104, 0, 0, -58, 0, 0, 180, 0, -56, -480, 0, -360, 0, 0, 388, -296, 0, 24, 0, 0, 0, 0, 0, -270, -80, 0, 0, -108, 0, 228, 276, 0, -78, 0, 0, 268, 0, 0, 76, -444, 0, 148, 0, 0, 0, -164, 0, 0, 212, 0, 0, -432, 0, 432, 0, 0, -12, 184, 0, 12, 0, 0, 166, 360, 0, 348, 0, 0, 0, 132, 0, 250, -36, 0, 0, 0, 0, -48, 164, 0, -172, 378, 0, 270, 0, 0, 192, -108, 0, 0, 0, 0, 0, 36, 0, 432, 0, 0, 0, 286, 0, 46, -276, 0, -60, -200, 0, 408, 0, 0, 0, 442, 0, -288, 0, 0, 0, 0, 0, -152, 60, 0, 0, 528, 0, -312, -528, 0, -108, -46, 0, 0, 0, 0, 36, 534, 0, -402, 0, 0, 0, -240, 0, 82, -60, 0, 0, -24, 0, -378, -116, 0, 0, -132, 0, -276, 0, 0, -360, 0, 0, 120, 0, 0, 0, -696, 0, -264, -112, 0, 0, 90, 0, 0, -24, 0, -38, -426, 0, -402, 0, 0, -524, -240, 0, -130, 0, 0, 0, 256, 0, -384, -120, 0, 0, -176, 0, 292, -180, 0, 6, 0, 0, 196, 0, 0, -54, -276, 0, 276, 0, 0, 0, -80, 0, 0, -12, 0, 0, -132, 0, 450, 0, 0, -56, 312, 0, -50, 0, 0, -236, 160, 0, 282, 0, 0, 0, 514, 0, 204, -276, 0, 0, 0, 0, -148, -4, 0, 100, 312, 0, 180, 0, 0, -174, 184, 0, 0, 0, 0, 0, 564, 0, 588, 0, 0, 0, 366, 0, 72, 216, 0, -204, -104, 0, 300, 0, 0, 0, 110, 0, -296, 0, 0, 0, 0, 0, -144, -152, 0, 0, 600, 0, -260, 840, 0, 42, 192, 0, 0, 0, 0, -38, 396, 0, -606, 0, 0, 0, -192, 0, -12, 240, 0, 0, -408, 0, -450, 84, 0, 0, -114, 0, -274, 0, 0, 354, 0, 0, 160, 0, 0, 0, -444, 0, -248, -120, 0, 0, 180, 0, 0, 152, 0, 82, 72, 0, -384, 0, 0, 692, -346, 0, -90, 0, 0, 0, 256, 0, -378, 28, 0, 0, -588, 0, 336, 72, 0, 288, 0, 0, 12, 0, 0, 136, -522, 0, 234, 0, 0, 0, 146, 0, 0, -304, 0, 0, -666, 0, 534, 0, 0, -40, 364, 0, -104, 0, 0, 180, 120, 0, 504, 0, 0, 0, 28, 0, 304, 240, 0, 0, 0, 0, -300, -4, 0, 208, 564, 0, 282, 0, 0, 354, -314, 0, 0, 0, 0, 0, 564, 0, 360, 0, 0, 0, 192, 0, 112, -768, 0, 220, 48, 0, 372, 0, 0, 0, 168, 0, -270, 0, 0, 0, 0, 0, -452, -40, 0, 0, 450, 0, -246, -608, 0, 366, 174, 0, 0, 0, 0, 144, 180, 0, -624, 0, 0, 0, -334, 0, 60, 96, 0, 0, -368, 0, -330, -124, 0, 0, -488, 0, -302, 0, 0, -492, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 41761221
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.5', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41761222
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 20, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.20', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41761223
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.10', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41761224
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.13', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41761225
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.15', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41761226
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.12', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41761227
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.22', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41761228
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.12', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 41761229
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.13', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41761230
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.3', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41761231
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.3', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41761232
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.22', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '56.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41761233
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 20, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.20', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '56.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 41761234
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.15', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '84.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 41761235
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.10', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '168.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 41761236
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 48, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9008985994690728, 'source_is_minimal': True, 'source_label': '168.2.ba.c.5.5', 'source_level': 168, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.5', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '168.101', 'twisting_conrey_index': 101, 'weight': 2}
• hecke_orbit_code 9008985994690728 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 27, 'hecke_orbit': 3, 'label': '168.2.ba.c', 'level': 168, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32055187
    {'hecke_orbit_code': 9008985994690728, 'n': 1, 'trace_an': 48}
  • id: 32055188
    {'hecke_orbit_code': 9008985994690728, 'n': 2, 'trace_an': 0}
  • id: 32055189
    {'hecke_orbit_code': 9008985994690728, 'n': 3, 'trace_an': 0}
  • id: 32055190
    {'hecke_orbit_code': 9008985994690728, 'n': 4, 'trace_an': 6}
  • id: 32055191
    {'hecke_orbit_code': 9008985994690728, 'n': 5, 'trace_an': 0}
  • id: 32055192
    {'hecke_orbit_code': 9008985994690728, 'n': 6, 'trace_an': 0}
  • id: 32055193
    {'hecke_orbit_code': 9008985994690728, 'n': 7, 'trace_an': -4}
  • id: 32055194
    {'hecke_orbit_code': 9008985994690728, 'n': 8, 'trace_an': 0}
  • id: 32055195
    {'hecke_orbit_code': 9008985994690728, 'n': 9, 'trace_an': -14}
  • id: 32055196
    {'hecke_orbit_code': 9008985994690728, 'n': 10, 'trace_an': -30}
  • id: 32055197
    {'hecke_orbit_code': 9008985994690728, 'n': 11, 'trace_an': 0}
  • id: 32055198
    {'hecke_orbit_code': 9008985994690728, 'n': 12, 'trace_an': -18}
  • id: 32055199
    {'hecke_orbit_code': 9008985994690728, 'n': 13, 'trace_an': 0}
  • id: 32055200
    {'hecke_orbit_code': 9008985994690728, 'n': 14, 'trace_an': 0}
  • id: 32055201
    {'hecke_orbit_code': 9008985994690728, 'n': 15, 'trace_an': 4}
  • id: 32055202
    {'hecke_orbit_code': 9008985994690728, 'n': 16, 'trace_an': 6}
  • id: 32055203
    {'hecke_orbit_code': 9008985994690728, 'n': 17, 'trace_an': 0}
  • id: 32055204
    {'hecke_orbit_code': 9008985994690728, 'n': 18, 'trace_an': 0}
  • id: 32055205
    {'hecke_orbit_code': 9008985994690728, 'n': 19, 'trace_an': 0}
  • id: 32055206
    {'hecke_orbit_code': 9008985994690728, 'n': 20, 'trace_an': 0}
  • id: 32055207
    {'hecke_orbit_code': 9008985994690728, 'n': 21, 'trace_an': 0}
  • id: 32055208
    {'hecke_orbit_code': 9008985994690728, 'n': 22, 'trace_an': -36}
  • id: 32055209
    {'hecke_orbit_code': 9008985994690728, 'n': 23, 'trace_an': 0}
  • id: 32055210
    {'hecke_orbit_code': 9008985994690728, 'n': 24, 'trace_an': -12}
  • id: 32055211
    {'hecke_orbit_code': 9008985994690728, 'n': 25, 'trace_an': -8}
  • id: 32055212
    {'hecke_orbit_code': 9008985994690728, 'n': 26, 'trace_an': 0}
  • id: 32055213
    {'hecke_orbit_code': 9008985994690728, 'n': 27, 'trace_an': 0}
  • id: 32055214
    {'hecke_orbit_code': 9008985994690728, 'n': 28, 'trace_an': -10}
  • id: 32055215
    {'hecke_orbit_code': 9008985994690728, 'n': 29, 'trace_an': 0}
  • id: 32055216
    {'hecke_orbit_code': 9008985994690728, 'n': 30, 'trace_an': 22}
  • id: 32055217
    {'hecke_orbit_code': 9008985994690728, 'n': 31, 'trace_an': 48}
  • id: 32055218
    {'hecke_orbit_code': 9008985994690728, 'n': 32, 'trace_an': 0}
  • id: 32055219
    {'hecke_orbit_code': 9008985994690728, 'n': 33, 'trace_an': -42}
  • id: 32055220
    {'hecke_orbit_code': 9008985994690728, 'n': 34, 'trace_an': 0}
  • id: 32055221
    {'hecke_orbit_code': 9008985994690728, 'n': 35, 'trace_an': 0}
  • id: 32055222
    {'hecke_orbit_code': 9008985994690728, 'n': 36, 'trace_an': 52}
  • id: 32055223
    {'hecke_orbit_code': 9008985994690728, 'n': 37, 'trace_an': 0}
  • id: 32055224
    {'hecke_orbit_code': 9008985994690728, 'n': 38, 'trace_an': 0}
  • id: 32055225
    {'hecke_orbit_code': 9008985994690728, 'n': 39, 'trace_an': -8}
  • id: 32055226
    {'hecke_orbit_code': 9008985994690728, 'n': 40, 'trace_an': -18}
  • id: 32055227
    {'hecke_orbit_code': 9008985994690728, 'n': 41, 'trace_an': 0}
  • id: 32055228
    {'hecke_orbit_code': 9008985994690728, 'n': 42, 'trace_an': 12}
  • id: 32055229
    {'hecke_orbit_code': 9008985994690728, 'n': 43, 'trace_an': 0}
  • id: 32055230
    {'hecke_orbit_code': 9008985994690728, 'n': 44, 'trace_an': 0}
  • id: 32055231
    {'hecke_orbit_code': 9008985994690728, 'n': 45, 'trace_an': 0}
  • id: 32055232
    {'hecke_orbit_code': 9008985994690728, 'n': 46, 'trace_an': -8}
  • id: 32055233
    {'hecke_orbit_code': 9008985994690728, 'n': 47, 'trace_an': 0}
  • id: 32055234
    {'hecke_orbit_code': 9008985994690728, 'n': 48, 'trace_an': 0}
  • id: 32055235
    {'hecke_orbit_code': 9008985994690728, 'n': 49, 'trace_an': -36}
  • id: 32055236
    {'hecke_orbit_code': 9008985994690728, 'n': 50, 'trace_an': 0}
  • id: 32055237
    {'hecke_orbit_code': 9008985994690728, 'n': 51, 'trace_an': 0}
  • id: 32055238
    {'hecke_orbit_code': 9008985994690728, 'n': 52, 'trace_an': -48}
  • id: 32055239
    {'hecke_orbit_code': 9008985994690728, 'n': 53, 'trace_an': 0}
  • id: 32055240
    {'hecke_orbit_code': 9008985994690728, 'n': 54, 'trace_an': 60}
  • id: 32055241
    {'hecke_orbit_code': 9008985994690728, 'n': 55, 'trace_an': 0}
  • id: 32055242
    {'hecke_orbit_code': 9008985994690728, 'n': 56, 'trace_an': 0}
  • id: 32055243
    {'hecke_orbit_code': 9008985994690728, 'n': 57, 'trace_an': 4}
  • id: 32055244
    {'hecke_orbit_code': 9008985994690728, 'n': 58, 'trace_an': 30}
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