Embedded newform data - 184.2.i.b.81.2

Formats: - HTML - YAML - JSON - 2026-07-27T12:00:16.359335

• 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': 736, 'analytic_conductor': 1.4692473971915592, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 23, 'char_degree': 10, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 11, 'char_parity': 1, 'char_values': [184, 11, [47, 93, 97], [11, 11, 5]], 'cm_discs': [], 'conrey_index': 9, 'dim': 30, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [175561, -483107, 7598293, -8348514, 17085578, -43579794, 45690577, -40479703, 48107131, -30857315, 19631836, -16271151, 12041169, -4170647, 2472814, -1411230, 732569, -117465, 96337, -56644, 32930, -4232, 698, 247, 379, -99, -21, 17, -4, -2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504149416739000, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 3, 1, 11, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '184.2.i.b', 'level': 184, '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, 23], 'level_radical': 46, 'minimal_twist': '184.2.i.b', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c11', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '184.2.i', 'trace_display': [0, 2, 0, -13], 'traces': [30, 0, 2, 0, 0, 0, -13, 0, 21, 0, 2, 0, 0, 0, -2, 0, -22, 0, 3, 0, 2, 0, 1, 0, 13, 0, -31, 0, 7, 0, 18, 0, -8, 0, 41, 0, -62, 0, 6, 0, -15, 0, -47, 0, 8, 0, -72, 0, -16, 0, -7, 0, -43, 0, -9, 0, -42, 0, -11, 0, 57, 0, -62, 0, 14, 0, -27, 0, -22, 0, 48, 0, -12, 0, 87, 0, -3, 0, 8, 0, 123, 0, -18, 0, 54, 0, 137, 0, -23, 0, 142, 0, -110, 0, 119, 0, 47, 0, -17, 0, 90, 0, 2, 0, 36, 0, 57, 0, -62, 0, 105, 0, -14, 0, -47, 0, 7, 0, -95, 0, 69, 0, -53, 0, -84, 0, 62, 0, -110, 0, -9, 0, -45, 0, -120, 0, -4, 0, -52, 0, 4, 0, -86, 0, -178, 0, 45, 0, -46, 0, -19, 0, 10, 0, -139, 0, -11, 0, -36, 0, 9, 0, 10, 0, -14, 0, 20, 0, 125, 0, -52, 0, 154, 0, -176, 0, 74, 0, -26, 0, 76, 0, 94, 0, 28, 0, 46, 0, 166, 0, -93, 0, 114, 0, -35, 0, 39, 0, 36, 0, -77, 0, 31, 0, -56, 0, -50, 0, 54, 0, -53, 0, -35, 0, 9, 0, -37, 0, 24, 0, -86, 0, -37, 0, -63, 0, -100, 0, 22, 0, -184, 0, -73, 0, -75, 0, -145, 0, 52, 0, -30, 0, -133, 0, 5, 0, -36, 0, 0, 0, 98, 0, -71, 0, 130, 0, -22, 0, 173, 0, 72, 0, 162, 0, 16, 0, 138, 0, 138, 0, 15, 0, -54, 0, 244, 0, 102, 0, 191, 0, 70, 0, 40, 0, 243, 0, 181, 0, 77, 0, 112, 0, -36, 0, 75, 0, -1, 0, 120, 0, 17, 0, -73, 0, -111, 0, 90, 0, -50, 0, -41, 0, -124, 0, -60, 0, 20, 0, 40, 0, -114, 0, -132, 0, -61, 0, -52, 0, -100, 0, -143, 0, -7, 0, -177, 0, 40, 0, -95, 0, 12, 0, -112, 0, 60, 0, -17, 0, 67, 0, 23, 0, -101, 0, -132, 0, 139, 0, 57, 0, -70, 0, 145, 0, -4, 0, 126, 0, -60, 0, -12, 0, -48, 0, -25, 0, 28, 0, -13, 0, -93, 0, -101, 0, -21, 0, -37, 0, 2, 0, -172, 0, -19, 0, -196, 0, 43, 0, -109, 0, -16, 0, -201, 0, -89, 0, -14, 0, -159, 0, -144, 0, -212, 0, -22, 0, -52, 0, 43, 0, -106, 0, -107, 0, -53, 0, 196, 0, -50, 0, 38, 0, 95, 0, -73, 0, -37, 0, 1, 0, 103, 0, 101, 0, 16, 0, 103, 0, 109, 0, -30, 0, -10, 0, 191, 0, 152, 0, 144, 0, 74, 0, 280, 0, 208, 0, 226, 0, -69, 0, 98, 0, 15, 0, 134, 0, 17, 0, -22, 0, 47, 0, 145, 0, 11, 0, 139, 0, -250, 0, -27, 0, 15, 0, 14, 0, 98, 0, 9, 0, -136, 0, -45, 0, -122, 0, -102, 0, -100, 0, -157, 0, 103, 0, -24, 0, -82, 0, -78, 0, 101, 0, -12, 0, -22, 0, -70, 0, -25, 0, -90, 0, 135, 0, 29, 0, -23, 0, -86, 0, 15, 0, 100, 0, 173, 0, -59, 0, 198, 0, -80, 0, 188, 0, -217, 0, 109, 0, -140, 0, 113, 0, -106, 0, 316, 0, -200, 0, 202, 0, -105, 0, 216, 0, -24, 0, -129, 0, 12, 0, 21, 0, 9, 0, 52, 0, -154, 0, -52, 0, 12, 0, 53, 0, 61, 0, -38, 0, 54, 0, -5, 0, -175, 0, 212, 0, -151, 0, -97, 0, -1, 0, -25, 0, 349, 0, -98, 0, 86, 0, 109, 0, 38, 0, 63, 0, 17, 0, 12, 0, 135, 0, -97, 0, 247, 0, -112, 0, -58, 0, 28, 0, 250, 0, 150, 0, -116, 0, -29, 0, 422, 0, -147, 0, 43, 0, -151, 0, -171, 0, 94, 0, 3, 0, 70, 0, -31, 0, 95, 0, -72, 0, -22, 0, 103, 0, -80, 0, -108, 0, 165, 0, -190, 0, -72, 0, -24, 0, -332, 0, 250, 0, -60, 0, -63, 0, -64, 0, -29, 0, 13, 0, 81, 0, -270, 0, -134, 0, -255, 0, -25, 0, -33, 0, -294, 0, -125, 0, -223, 0, 24, 0, -6, 0, -206, 0, -56, 0, -51, 0, -111, 0, -136, 0, -530, 0, -90, 0, -160, 0, -232, 0, 153, 0, -200, 0, 83, 0, -100, 0, 71, 0, 121, 0, 72, 0, -153, 0, 44, 0, -218, 0, 66, 0, -264, 0, -95, 0, 37, 0, -223, 0, 172, 0, -119, 0, 36, 0, 116, 0, -114, 0, 256, 0, -6, 0, -129, 0, 68, 0, -45, 0, 215, 0, 24, 0, -307, 0, 349, 0, -61, 0, 236, 0, -25, 0, 22, 0, 223, 0, 185, 0, -171, 0, 313, 0, -109, 0, 222, 0, 8, 0, 243, 0, 246, 0, -98, 0, 118, 0, 2, 0, 239, 0, 233, 0, -187, 0, 76, 0, 194, 0, 220, 0, 102, 0, -65, 0, 10, 0, 224, 0, 94, 0, 308, 0, -50, 0, 70, 0, 72, 0, 82, 0, 76, 0, -2, 0, 100, 0, 233, 0, 272, 0, 246, 0, 7, 0, 244, 0, 289, 0, -240, 0, 73, 0, -152, 0, 91, 0, -136, 0, 78, 0, -90, 0, 248, 0, -140, 0, 140, 0, -270, 0, -140, 0, -163, 0, -75, 0, 174, 0, -162, 0, -192, 0, -101, 0, -376, 0, 284, 0, 47, 0, -121, 0, -29, 0, 55, 0, -56, 0, -15, 0, -190, 0, 171, 0, -185, 0, -9, 0, -222, 0, 29, 0, -139, 0, -3, 0, -438, 0, 125, 0, -235, 0, 380, 0, 91, 0, 29, 0, 30, 0, -228, 0, 40, 0, -303, 0, -86, 0, 210, 0, -88, 0, -180, 0, 182, 0, 23, 0, 85, 0, -38, 0, 144, 0, 119, 0, 165, 0, -161, 0, -63, 0, 250, 0, 54, 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], [0.0, 0.0], [0.013070689506304134, -0.09090864234876166], [0.0, 0.0], [0.016074706888786226, -0.0047199598087665036], [0.0, 0.0], [0.7867255950930556, 0.9079297365153286], [0.0, 0.0], [0.9513994352849725, 0.27935607956626907], [0.0, 0.0], [-0.6103715112049328, -0.3922619518266731], [0.0, 0.0], [1.175070696970114, -1.356103875279113], [0.0, 0.0], [-0.00021897763550751058, -0.0015230229085564635], [0.0, 0.0], [0.14232883074531505, 0.3116566668396949], [0.0, 0.0], [-0.3615396994638704, 0.7916615142209602], [0.0, 0.0], [0.09282170567480108, -0.05965288807139889], [0.0, 0.0], [-0.986310165609997, 0.16490074958707848], [0.0, 0.0], [-0.8410174146502172, 0.540489073514692], [0.0, 0.0], [0.07598448752982039, -0.1663828192156049], [0.0, 0.0], [-0.10356206847638337, -0.2267692982747017], [0.0, 0.0], [-0.134622988293615, -0.9363234501747641], [0.0, 0.0], [-0.04363797799209151, 0.05036091123453913], [0.0, 0.0], [0.016931775208563097, 0.010881391200729682], [0.0, 0.0], [-0.4518120738873615, -0.13266399472275617], [0.0, 0.0], [-0.1079225779574658, -0.12454929441743524], [0.0, 0.0], [-0.22938233006723813, 0.067352729119674], [0.0, 0.0], [-0.06836922683176828, 0.4755184175029825], [0.0, 0.0], [0.01661201652425004, 0.0], [0.0, 0.0], [-1.0219339039797013, 0.0], [0.0, 0.0], [-0.06308440620098628, 0.43876168264447346], [0.0, 0.0], [0.030192620415804318, -0.008865353245311952], [0.0, 0.0], [-1.1599954790881877, -1.3387061464079306], [0.0, 0.0], [-0.011663003783014993, -0.003424566897933596], [0.0, 0.0], [0.0672433003016976, 0.04321464507991251], [0.0, 0.0], [0.07947274772042845, -0.09171644007517392], [0.0, 0.0], [0.07903886286950416, 0.5497273661646553], [0.0, 0.0], [0.4948545951812093, 1.0835804165387535], [0.0, 0.0], [0.012488161239566406, -0.027345258768017036], [0.0, 0.0], [1.0866881870360774, -0.6983720921578876], [0.0, 0.0], [0.0020991493356547425, 0.0918194845875966], [0.0, 0.0], [1.2678541271219361, -0.8148003722430849], [0.0, 0.0], [-0.6149953754221978, 1.3466520298257842], [0.0, 0.0], [0.038142450381273056, 0.08352031621897729], [0.0, 0.0], [-0.12404859981356868, -0.8627769628279606], [0.0, 0.0], [0.5532339175605955, -0.6384659761104144], [0.0, 0.0], [0.8200249041300769, 0.5269980061906022], [0.0, 0.0], [-1.3207523381353707, -0.3878078770868367], [0.0, 0.0], [0.0037589011776720965, 0.00433800320863758], [0.0, 0.0], [-0.021968916674219924, 0.006450655956706404], [0.0, 0.0], [-0.11754349107488324, 0.8175329377534047], [0.0, 0.0], [2.155705227519806, 0.0], [0.0, 0.0], [-0.08687950893509284, 0.0], [0.0, 0.0], [-0.0020750341682714145, 0.014432179646977593], [0.0, 0.0], [0.22306528320337876, -0.06549787680331166], [0.0, 0.0], [-0.4711263500490963, -0.543708791900827], [0.0, 0.0]], 'angles': [None, -0.4699614844313439, -0.2941213418507082, -0.011084336659643038, -0.21817623346867804, -0.20916559042419103, -0.04078196349612597, 0.1398350026710003, None, -0.0880720460258794, -0.44431714724208077, -0.24237252592008243, -0.31452442588982665, 0.06133446498328307, -0.3353562761523146, -0.4404823418239992, -0.37670031809522214, 0.022057157848416827, -0.22915557911871684, -0.205078866400812, 0.20082068693179592, -0.31695650347358617, -0.3253570173497951, 0.09048154152611776, -0.2769122611326274, -0.14082498020388082, -0.015633295284693316, 0.0746000846552244, -0.4904614973744823, -0.4424065565410261, -0.22447325835066215, -0.47942314984979817, -0.12090587135720116, -0.18409959156175507, -0.12444963908814295, -0.3181126356588691, 0.21355249222462827, -0.47682815985950583, -0.07420364105158518, -0.2277307296771411, -0.32805914674351677, 0.12215913714849783, -0.11899565859757354, -0.11205984987950016, -0.2556544020377604, 0.08570034994642517, -0.4615958376454227, -0.4688407894775022, 0.10444012124055384, -0.24601162280372332, 0.12722364091535898, -0.14008701359851475, -0.20815981385235438, -0.1576170051199153, -0.45425023963351707, -0.3638746931668362, 0.00964577015828539, -0.1636264598605513, -0.3317452844629518, -0.1072905332246899, -0.15103627213596574, 0.02438986581413551, -0.490380597897178, 0.05796499458396021, -0.3091447371382554, -0.3200524716496471, -0.18179412664347736, -0.3696549164897741, -0.2556362295055627, -0.47545712595934997, -0.49941837915297393, -0.28749176795840076, -0.26257946257566095, -0.3675188287730525, -0.10657446620333236, 0.043677979177083145, -0.4004997714256692, -0.02698248131303243, -0.4912678791956146, -0.3535429839694092, -0.33277191146864066, -0.17695180156024787, -0.4722937405754794, -0.3483079751813661, -0.3552913077972223, 0.08398047402445306, -0.10837721848686589, -0.43122487727609343, -0.19550673319770603, 0.07800758239422181, 0.10166506321801201, -0.46718150993392105, -0.360813872712257, 0.006919714116733601, -0.21040669410422305, -0.3701505087490217, -0.4184715963876257, 0.07455554587478291, 0.049483924938944046, -0.1250522752535711], 'char_orbit_index': 9, 'conrey_index': 81, 'dual_conrey_index': 25, 'dual_embedding_index': 2, 'dual_embedding_m': 5, 'embedding_index': 2, 'embedding_m': 17, 'hecke_orbit': 2, 'hecke_orbit_code': 4504149416739000, 'label': '184.2.i.b.81.2', 'level': 184, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 736, 'analytic_conductor': 1.4692473971915592, 'char_conductor': 23, 'char_degree': 10, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 11, 'char_parity': 1, 'char_values': [184, 11, [47, 93, 97], [11, 11, 5]], 'conrey_index': 9, 'cusp_dim': 200, 'dim': 60, 'eis_dim': 80, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 549789368504, 'hecke_orbit_dims': [30, 30], 'label': '184.2.i', 'level': 184, '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, 23], 'level_radical': 46, 'mf_dim': 280, 'mf_new_dim': 60, 'num_forms': 2, 'prim_orbit_index': 3, 'relative_dim': 6, 'sturm_bound': 48, 'trace_bound': 3, 'trace_display': [0, 0, 2, 0], 'traces': [60, 0, 0, 0, 2, 0, 0, 0, -2, 0, -2, 0, 0, 0, -4, 0, 4, 0, -2, 0, 4, 0, 0, 0, 2, 0, -12, 0, -12, 0, 12, 0, 12, 0, -22, 0, -26, 0, -16, 0, -26, 0, -34, 0, -84, 0, -48, 0, -64, 0, -48, 0, -16, 0, -68, 0, -44, 0, -22, 0, 26, 0, 20, 0, -16, 0, -6, 0, -4, 0, -4, 0, 20, 0, 90, 0, -24, 0, 62, 0, 126, 0, 52, 0, 46, 0, 170, 0, 54, 0, 168, 0, -28, 0, 140, 0, 78, 0, 184, 0, 70, 0, 30, 0, 132, 0, 24, 0, -6, 0, 54, 0, 16, 0, 6, 0, -32, 0, -114, 0, -70, 0, -82, 0, -96, 0, -32, 0, -56, 0, -90, 0, -132, 0, -110, 0, -136, 0, -36, 0, -84, 0, -170, 0, -124, 0, -102, 0, -74, 0, -40, 0, -76, 0, -122, 0, -54, 0, -58, 0, 14, 0, -16, 0, 188, 0, 48, 0, 86, 0, -74, 0, 82, 0, -16, 0, 76, 0, 16, 0, 156, 0, 48, 0, 120, 0, -20, 0, 226, 0, -24, 0, 164, 0, 28, 0, 86, 0, -56, 0, 66, 0, 16, 0, 58, 0, -110, 0, 12, 0, -68, 0, -190, 0, -30, 0, -74, 0, -248, 0, -76, 0, -2, 0, -138, 0, -90, 0, -164, 0, -220, 0, -118, 0, -132, 0, -176, 0, -94, 0, -52, 0, -216, 0, -10, 0, 90, 0, -68, 0, 100, 0, 64, 0, 138, 0, 52, 0, 252, 0, 120, 0, 306, 0, 4, 0, 350, 0, 188, 0, 92, 0, 64, 0, 404, 0, 252, 0, 322, 0, 172, 0, 146, 0, 288, 0, 402, 0, -70, 0, 174, 0, 112, 0, 92, 0, -46, 0, 200, 0, 8, 0, -6, 0, -142, 0, 64, 0, -10, 0, -120, 0, -152, 0, -220, 0, -24, 0, -68, 0, -260, 0, 4, 0, -188, 0, -140, 0, -36, 0, -152, 0, -56, 0, -140, 0, -28, 0, -124, 0, -70, 0, -132, 0, -4, 0, -124, 0, -30, 0, -88, 0, -58, 0, -180, 0, 130, 0, 36, 0, 0, 0, 72, 0, 100, 0, 32, 0, -56, 0, -8, 0, 134, 0, -68, 0, 4, 0, -72, 0, 6, 0, -112, 0, -126, 0, -12, 0, -46, 0, -176, 0, -22, 0, -294, 0, -84, 0, -148, 0, -144, 0, -196, 0, -142, 0, -116, 0, -206, 0, -136, 0, -252, 0, -220, 0, -200, 0, -168, 0, -140, 0, -142, 0, -90, 0, 130, 0, -20, 0, -4, 0, 142, 0, -50, 0, -208, 0, 208, 0, 254, 0, 144, 0, -14, 0, 276, 0, 90, 0, 26, 0, -86, 0, 256, 0, 220, 0, 636, 0, 128, 0, 498, 0, 180, 0, 312, 0, -64, 0, 84, 0, 186, 0, 194, 0, -40, 0, 66, 0, 186, 0, 210, 0, -60, 0, 12, 0, -40, 0, 68, 0, 136, 0, 110, 0, -40, 0, 36, 0, -304, 0, -44, 0, -172, 0, -256, 0, -24, 0, -142, 0, -130, 0, -58, 0, -80, 0, -188, 0, 234, 0, -158, 0, 84, 0, -172, 0, 38, 0, -206, 0, 236, 0, -80, 0, 90, 0, -166, 0, 312, 0, -80, 0, 338, 0, -6, 0, 138, 0, -96, 0, 152, 0, -144, 0, 216, 0, -130, 0, 330, 0, -170, 0, 292, 0, -214, 0, 208, 0, -126, 0, 116, 0, -158, 0, -54, 0, -76, 0, 184, 0, -164, 0, -20, 0, -76, 0, 36, 0, -20, 0, 54, 0, -270, 0, 64, 0, -44, 0, -6, 0, -114, 0, 0, 0, -82, 0, -74, 0, 124, 0, -144, 0, 466, 0, -160, 0, 236, 0, 182, 0, 168, 0, -78, 0, 458, 0, 86, 0, 138, 0, 42, 0, 178, 0, 26, 0, 378, 0, 0, 0, 124, 0, 200, 0, 48, 0, -58, 0, 428, 0, -82, 0, 82, 0, -94, 0, -46, 0, 58, 0, 138, 0, -124, 0, 70, 0, 44, 0, -2, 0, -188, 0, 186, 0, -186, 0, -12, 0, -138, 0, -166, 0, -10, 0, 16, 0, -272, 0, 52, 0, -236, 0, -266, 0, -52, 0, -236, 0, -242, 0, -204, 0, -92, 0, -444, 0, -174, 0, -128, 0, -286, 0, -256, 0, -364, 0, -244, 0, -4, 0, -356, 0, -208, 0, -36, 0, -98, 0, -258, 0, -252, 0, -460, 0, -76, 0, -202, 0, -316, 0, -160, 0, 76, 0, -144, 0, -100, 0, -156, 0, -30, 0, -82, 0, -128, 0, -240, 0, -204, 0, -84, 0, -314, 0, -44, 0, 30, 0, -290, 0, -90, 0, 42, 0, -20, 0, -30, 0, -224, 0, 172, 0, 60, 0, 162, 0, -56, 0, 134, 0, 194, 0, 300, 0, -168, 0, 314, 0, -146, 0, 458, 0, 148, 0, 212, 0, 314, 0, 368, 0, -166, 0, 612, 0, 206, 0, 104, 0, 102, 0, 402, 0, 160, 0, 288, 0, -148, 0, 110, 0, 434, 0, 438, 0, 2, 0, 422, 0, 84, 0, 548, 0, -90, 0, 214, 0, 64, 0, 286, 0, 226, 0, 332, 0, 104, 0, -100, 0, -182, 0, 388, 0, 280, 0, 182, 0, 172, 0, 186, 0, 408, 0, 404, 0, -38, 0, 136, 0, 178, 0, 38, 0, 188, 0, -214, 0, -14, 0, -408, 0, 114, 0, -278, 0, 520, 0, -160, 0, 20, 0, -284, 0, -104, 0, -298, 0, 88, 0, -90, 0, -24, 0, -304, 0, -26, 0, -400, 0, 344, 0, -250, 0, -56, 0, -464, 0, -122, 0, -128, 0, 182, 0, -240, 0, -82, 0, -240, 0, -88, 0, -240, 0, 330, 0, -428, 0, 86, 0, -264, 0, -10, 0, 74, 0, 84, 0, -176, 0, 126, 0, -36, 0, -72, 0, -76, 0, 82, 0, -24, 0, 270, 0, -82, 0, -240, 0, 4, 0, 328, 0, 26, 0, -44, 0, -52, 0, -72, 0, 350, 0, -290, 0, 74, 0, 192, 0, 270, 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: 35733366
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 81, 'target_dim': 30, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504149416739000, 'target_is_minimal': True, 'target_label': '184.2.i.b.81.2', 'target_level': 184, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35733367
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 81, 'target_dim': 30, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015223176757616, 'target_is_minimal': False, 'target_label': '368.2.m.e.81.2', 'target_level': 368, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35733368
    {'conductor': 23, 'degree': 10, 'order': 11, 'parity': 1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 25, 'target_dim': 30, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504149416739000, 'target_is_minimal': True, 'target_label': '184.2.i.b.25.2', 'target_level': 184, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '23.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35733369
    {'conductor': 23, 'degree': 10, 'order': 22, 'parity': -1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 8, 'target_hecke_orbit_code': 117093590345191560, 'target_is_minimal': False, 'target_label': '4232.2.a.ba.1.8', 'target_level': 4232, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '23.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 35733370
    {'conductor': 23, 'degree': 10, 'order': 11, 'parity': 1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 8, 'target_hecke_orbit_code': 121597189972562056, 'target_is_minimal': False, 'target_label': '4232.2.a.bb.1.8', 'target_level': 4232, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '23.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 35733371
    {'conductor': 92, 'degree': 10, 'order': 22, 'parity': 1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 8, 'target_hecke_orbit_code': 265712378048422160, 'target_is_minimal': False, 'target_label': '8464.2.a.ch.1.8', 'target_level': 8464, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '92.51', 'twisting_conrey_index': 51, 'weight': 2}
  • id: 35733372
    {'conductor': 92, 'degree': 10, 'order': 22, 'parity': -1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 209, 'target_dim': 30, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015223176757616, 'target_is_minimal': False, 'target_label': '368.2.m.e.209.2', 'target_level': 368, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '92.71', 'twisting_conrey_index': 71, 'weight': 2}
  • id: 35733373
    {'conductor': 92, 'degree': 10, 'order': 22, 'parity': -1, 'source_conrey_index': 81, 'source_dim': 30, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504149416739000, 'source_is_minimal': True, 'source_label': '184.2.i.b.81.2', 'source_level': 184, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 8, 'target_hecke_orbit_code': 261208778421051664, 'target_is_minimal': False, 'target_label': '8464.2.a.cg.1.8', 'target_level': 8464, 'twist_class_label': '184.2.i.b.25.2', 'twist_class_level': 184, 'twisting_char_label': '92.87', 'twisting_conrey_index': 87, 'weight': 2}
• hecke_orbit_code 4504149416739000 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': 9, 'hecke_orbit': 2, 'label': '184.2.i.b', 'level': 184, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 23237779
    {'hecke_orbit_code': 4504149416739000, 'n': 1, 'trace_an': 30}
  • id: 23237780
    {'hecke_orbit_code': 4504149416739000, 'n': 2, 'trace_an': 0}
  • id: 23237781
    {'hecke_orbit_code': 4504149416739000, 'n': 3, 'trace_an': 2}
  • id: 23237782
    {'hecke_orbit_code': 4504149416739000, 'n': 4, 'trace_an': 0}
  • id: 23237783
    {'hecke_orbit_code': 4504149416739000, 'n': 5, 'trace_an': 0}
  • id: 23237784
    {'hecke_orbit_code': 4504149416739000, 'n': 6, 'trace_an': 0}
  • id: 23237785
    {'hecke_orbit_code': 4504149416739000, 'n': 7, 'trace_an': -13}
  • id: 23237786
    {'hecke_orbit_code': 4504149416739000, 'n': 8, 'trace_an': 0}
  • id: 23237787
    {'hecke_orbit_code': 4504149416739000, 'n': 9, 'trace_an': 21}
  • id: 23237788
    {'hecke_orbit_code': 4504149416739000, 'n': 10, 'trace_an': 0}
  • id: 23237789
    {'hecke_orbit_code': 4504149416739000, 'n': 11, 'trace_an': 2}
  • id: 23237790
    {'hecke_orbit_code': 4504149416739000, 'n': 12, 'trace_an': 0}
  • id: 23237791
    {'hecke_orbit_code': 4504149416739000, 'n': 13, 'trace_an': 0}
  • id: 23237792
    {'hecke_orbit_code': 4504149416739000, 'n': 14, 'trace_an': 0}
  • id: 23237793
    {'hecke_orbit_code': 4504149416739000, 'n': 15, 'trace_an': -2}
  • id: 23237794
    {'hecke_orbit_code': 4504149416739000, 'n': 16, 'trace_an': 0}
  • id: 23237795
    {'hecke_orbit_code': 4504149416739000, 'n': 17, 'trace_an': -22}
  • id: 23237796
    {'hecke_orbit_code': 4504149416739000, 'n': 18, 'trace_an': 0}
  • id: 23237797
    {'hecke_orbit_code': 4504149416739000, 'n': 19, 'trace_an': 3}
  • id: 23237798
    {'hecke_orbit_code': 4504149416739000, 'n': 20, 'trace_an': 0}
  • id: 23237799
    {'hecke_orbit_code': 4504149416739000, 'n': 21, 'trace_an': 2}
  • id: 23237800
    {'hecke_orbit_code': 4504149416739000, 'n': 22, 'trace_an': 0}
  • id: 23237801
    {'hecke_orbit_code': 4504149416739000, 'n': 23, 'trace_an': 1}
  • id: 23237802
    {'hecke_orbit_code': 4504149416739000, 'n': 24, 'trace_an': 0}
  • id: 23237803
    {'hecke_orbit_code': 4504149416739000, 'n': 25, 'trace_an': 13}
  • id: 23237804
    {'hecke_orbit_code': 4504149416739000, 'n': 26, 'trace_an': 0}
  • id: 23237805
    {'hecke_orbit_code': 4504149416739000, 'n': 27, 'trace_an': -31}
  • id: 23237806
    {'hecke_orbit_code': 4504149416739000, 'n': 28, 'trace_an': 0}
  • id: 23237807
    {'hecke_orbit_code': 4504149416739000, 'n': 29, 'trace_an': 7}
  • id: 23237808
    {'hecke_orbit_code': 4504149416739000, 'n': 30, 'trace_an': 0}
  • id: 23237809
    {'hecke_orbit_code': 4504149416739000, 'n': 31, 'trace_an': 18}
  • id: 23237810
    {'hecke_orbit_code': 4504149416739000, 'n': 32, 'trace_an': 0}
  • id: 23237811
    {'hecke_orbit_code': 4504149416739000, 'n': 33, 'trace_an': -8}
  • id: 23237812
    {'hecke_orbit_code': 4504149416739000, 'n': 34, 'trace_an': 0}
  • id: 23237813
    {'hecke_orbit_code': 4504149416739000, 'n': 35, 'trace_an': 41}
  • id: 23237814
    {'hecke_orbit_code': 4504149416739000, 'n': 36, 'trace_an': 0}
  • id: 23237815
    {'hecke_orbit_code': 4504149416739000, 'n': 37, 'trace_an': -62}
  • id: 23237816
    {'hecke_orbit_code': 4504149416739000, 'n': 38, 'trace_an': 0}
  • id: 23237817
    {'hecke_orbit_code': 4504149416739000, 'n': 39, 'trace_an': 6}
  • id: 23237818
    {'hecke_orbit_code': 4504149416739000, 'n': 40, 'trace_an': 0}
  • id: 23237819
    {'hecke_orbit_code': 4504149416739000, 'n': 41, 'trace_an': -15}
  • id: 23237820
    {'hecke_orbit_code': 4504149416739000, 'n': 42, 'trace_an': 0}
  • id: 23237821
    {'hecke_orbit_code': 4504149416739000, 'n': 43, 'trace_an': -47}
  • id: 23237822
    {'hecke_orbit_code': 4504149416739000, 'n': 44, 'trace_an': 0}
  • id: 23237823
    {'hecke_orbit_code': 4504149416739000, 'n': 45, 'trace_an': 8}
  • id: 23237824
    {'hecke_orbit_code': 4504149416739000, 'n': 46, 'trace_an': 0}
  • id: 23237825
    {'hecke_orbit_code': 4504149416739000, 'n': 47, 'trace_an': -72}
  • id: 23237826
    {'hecke_orbit_code': 4504149416739000, 'n': 48, 'trace_an': 0}
  • id: 23237827
    {'hecke_orbit_code': 4504149416739000, 'n': 49, 'trace_an': -16}
  • id: 23237828
    {'hecke_orbit_code': 4504149416739000, 'n': 50, 'trace_an': 0}
  • id: 23237829
    {'hecke_orbit_code': 4504149416739000, 'n': 51, 'trace_an': -7}
  • id: 23237830
    {'hecke_orbit_code': 4504149416739000, 'n': 52, 'trace_an': 0}
  • id: 23237831
    {'hecke_orbit_code': 4504149416739000, 'n': 53, 'trace_an': -43}
  • id: 23237832
    {'hecke_orbit_code': 4504149416739000, 'n': 54, 'trace_an': 0}
  • id: 23237833
    {'hecke_orbit_code': 4504149416739000, 'n': 55, 'trace_an': -9}
  • id: 23237834
    {'hecke_orbit_code': 4504149416739000, 'n': 56, 'trace_an': 0}
  • id: 23237835
    {'hecke_orbit_code': 4504149416739000, 'n': 57, 'trace_an': -42}
  • id: 23237836
    {'hecke_orbit_code': 4504149416739000, 'n': 58, 'trace_an': 0}
  • id: 23237837
    {'hecke_orbit_code': 4504149416739000, 'n': 59, 'trace_an': -11}
  • id: 23237838
    {'hecke_orbit_code': 4504149416739000, 'n': 60, 'trace_an': 0}
  • id: 23237839
    {'hecke_orbit_code': 4504149416739000, 'n': 61, 'trace_an': 57}
  • id: 23237840
    {'hecke_orbit_code': 4504149416739000, 'n': 62, 'trace_an': 0}
  • id: 23237841
    {'hecke_orbit_code': 4504149416739000, 'n': 63, 'trace_an': -62}
  • id: 23237842
    {'hecke_orbit_code': 4504149416739000, 'n': 64, 'trace_an': 0}
  • id: 23237843
    {'hecke_orbit_code': 4504149416739000, 'n': 65, 'trace_an': 14}
  • id: 23237844
    {'hecke_orbit_code': 4504149416739000, 'n': 66, 'trace_an': 0}
  • id: 23237845
    {'hecke_orbit_code': 4504149416739000, 'n': 67, 'trace_an': -27}
  • id: 23237846
    {'hecke_orbit_code': 4504149416739000, 'n': 68, 'trace_an': 0}
  • id: 23237847
    {'hecke_orbit_code': 4504149416739000, 'n': 69, 'trace_an': -22}
  • id: 23237848
    {'hecke_orbit_code': 4504149416739000, 'n': 70, 'trace_an': 0}
  • id: 23237849
    {'hecke_orbit_code': 4504149416739000, 'n': 71, 'trace_an': 48}
  • id: 23237850
    {'hecke_orbit_code': 4504149416739000, 'n': 72, 'trace_an': 0}
  • id: 23237851
    {'hecke_orbit_code': 4504149416739000, 'n': 73, 'trace_an': -12}
  • id: 23237852
    {'hecke_orbit_code': 4504149416739000, 'n': 74, 'trace_an': 0}
  • id: 23237853
    {'hecke_orbit_code': 4504149416739000, 'n': 75, 'trace_an': 87}
  • id: 23237854
    {'hecke_orbit_code': 4504149416739000, 'n': 76, 'trace_an': 0}
  • id: 23237855
    {'hecke_orbit_code': 4504149416739000, 'n': 77, 'trace_an': -3}
  • id: 23237856
    {'hecke_orbit_code': 4504149416739000, 'n': 78, 'trace_an': 0}
  • id: 23237857
    {'hecke_orbit_code': 4504149416739000, 'n': 79, 'trace_an': 8}
  • id: 23237858
    {'hecke_orbit_code': 4504149416739000, 'n': 80, 'trace_an': 0}
  • id: 23237859
    {'hecke_orbit_code': 4504149416739000, 'n': 81, 'trace_an': 123}
  • id: 23237860
    {'hecke_orbit_code': 4504149416739000, 'n': 82, 'trace_an': 0}
  • id: 23237861
    {'hecke_orbit_code': 4504149416739000, 'n': 83, 'trace_an': -18}
  • id: 23237862
    {'hecke_orbit_code': 4504149416739000, 'n': 84, 'trace_an': 0}
  • id: 23237863
    {'hecke_orbit_code': 4504149416739000, 'n': 85, 'trace_an': 54}
  • id: 23237864
    {'hecke_orbit_code': 4504149416739000, 'n': 86, 'trace_an': 0}
  • id: 23237865
    {'hecke_orbit_code': 4504149416739000, 'n': 87, 'trace_an': 137}
  • id: 23237866
    {'hecke_orbit_code': 4504149416739000, 'n': 88, 'trace_an': 0}
  • id: 23237867
    {'hecke_orbit_code': 4504149416739000, 'n': 89, 'trace_an': -23}
  • id: 23237868
    {'hecke_orbit_code': 4504149416739000, 'n': 90, 'trace_an': 0}
  • id: 23237869
    {'hecke_orbit_code': 4504149416739000, 'n': 91, 'trace_an': 142}
  • id: 23237870
    {'hecke_orbit_code': 4504149416739000, 'n': 92, 'trace_an': 0}
  • id: 23237871
    {'hecke_orbit_code': 4504149416739000, 'n': 93, 'trace_an': -110}
  • id: 23237872
    {'hecke_orbit_code': 4504149416739000, 'n': 94, 'trace_an': 0}
  • id: 23237873
    {'hecke_orbit_code': 4504149416739000, 'n': 95, 'trace_an': 119}
  • id: 23237874
    {'hecke_orbit_code': 4504149416739000, 'n': 96, 'trace_an': 0}
  • id: 23237875
    {'hecke_orbit_code': 4504149416739000, 'n': 97, 'trace_an': 47}
  • id: 23237876
    {'hecke_orbit_code': 4504149416739000, 'n': 98, 'trace_an': 0}
  • id: 23237877
    {'hecke_orbit_code': 4504149416739000, 'n': 99, 'trace_an': -17}
  • id: 23237878
    {'hecke_orbit_code': 4504149416739000, 'n': 100, 'trace_an': 0}