Embedded newform data - 1440.4.a.bi.1.3

Formats: - HTML - YAML - JSON - 2025-05-12T07:28:48.981619

• 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': 23040, 'analytic_conductor': 84.96275040826649, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [5, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1440, 1, [991, 901, 641, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 16773, 'field_disc_factorization': [[3, 1], [5591, 1]], 'field_poly': [18, -17, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [408, -212, -14, 1]], [11, [10632, -1844, 22, 1]], [17, [96888, -6788, 34, 1]]], 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397707168, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1440.4.a.bi', 'level': 1440, '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, 5], 'level_radical': 30, 'minimal_twist': '1440.4.a.bh', 'nf_label': '3.3.16773.1', 'prim_orbit_index': 1, 'qexp_display': 'q-5q^{5}+(5-\\beta _{1})q^{7}+(-7-2\\beta _{1}-\\beta _{2})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1440.4.a', 'trace_display': [0, 0, -15, 14], 'trace_hash': 1363619668700215599, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.854', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.426', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.829', 'prec': 17}, {'__RealLiteral__': 0, 'data': '213.833', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, -15, 0, 14, 0, 0, 0, -22, 0, 8, 0, 0, 0, -34, 0, -4, 0, 0, 0, -176, 0, 75, 0, 0, 0, 98, 0, 88, 0, 0, 0, -70, 0, 284, 0, 0, 0, -8, 0, 504, 0, 0, 0, -280, 0, -409, 0, 0, 0, -150, 0, 110, 0, 0, 0, -350, 0, 350, 0, 0, 0, -40, 0, 804, 0, 0, 0, -500, 0, -486, 0, 0, 0, 788, 0, 1592, 0, 0, 0, 684, 0, 170, 0, 0, 0, -668, 0, 1920, 0, 0, 0, 20, 0, -1394, 0, 0, 0, 1450, 0, 2630, 0, 0, 0, 1188, 0, 262, 0, 0, 0, -2038, 0, 880, 0, 0, 0, 2396, 0, 179, 0, 0, 0, -375, 0, 4678, 0, 0, 0, 126, 0, 1192, 0, 0, 0, -2238, 0, 5276, 0, 0, 0, 384, 0, -490, 0, 0, 0, 3006, 0, 5564, 0, 0, 0, -440, 0, -1488, 0, 0, 0, -720, 0, 5564, 0, 0, 0, 2144, 0, 2401, 0, 0, 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• 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

  
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-0.13509358689789072, -0.09352932948189248, -0.2004550821890763, -0.38587422832916035, -0.34633621728093417, -0.2074860031116928, -0.30060497028257893, -0.05684449341732726, -0.3150273160447439, -0.3829327610721753, -0.17279608052582726, -0.2320667059593935, -0.08617114833296781, -0.28462320362892457, -0.1738312203732694, -0.08362992440183817, -0.16106533968011788, -0.2814780894532608, -0.36263207500181177, -0.05442224518971334, -0.21205046750852488, -0.26131960234875834, -0.14150213369781972, -0.2524204757321986, -0.17995029568253654, -0.31683373715491137, -0.1254181767711188, -0.23380236254939815, -0.3926198933790915, -0.37403654354855226, -0.29620315374935013, -0.45649275657450616, -0.3727893231074893, -0.1849460304800443, -0.36297080338391857, -0.1080934882620059, -0.3870712361198679, -0.4212280548793042, -0.25840270702971296, -0.2623335935099397, -0.31973598952448895, -0.27189455387119993, -0.11114586856578311, -0.3061700583927948, -0.32582282329240614, -0.23424256232419324, -0.22178851890575796, -0.41525163879784627, -0.27944077732114386, -0.2995227495541771, -0.15105773111622123, -0.17235245307496064, -0.2844311178196884, -0.16766638072882956, -0.3673427898206181, -0.2175710872101627, -0.3344454546410652, -0.35328886072094134, -0.15509562394442297, -0.16535579896682695, -0.26387215767988986, -0.27269542738197666, -0.26380042543499, -0.34144358124103724, -0.20004116245957698, -0.19131561298160005, -0.19064648483970498, -0.20304816062480746, -0.24842824861983676, -0.3370914651562154, -0.1325747030333609, -0.1818065660765026, -0.2988962015446056, -0.3046985662015325, -0.287394238345042, -0.3571159381396445, -0.09196806177910366, -0.410362844828804, -0.22515830411979304, -0.24586819393045548, -0.28372169101210654, -0.23088977824435883, -0.35187156798371566, -0.13670702172135793, -0.08863852746274502, -0.14503808451096228, -0.4519656763239767, -0.1327881282472243, -0.4186972605547532, -0.25331790380741986, -0.3309474415526317, -0.39390235428109555, -0.23131173602825386, -0.3778521736180103, -0.3988469878195446, -0.3144089951056339, -0.16966728541653295, -0.35392252705410226, -0.32084280514034946, -0.20286639304886026, -0.39175321182115785], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.1466013773947115, 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397707168, 'label': '1440.4.a.bi.1.3', 'level': 1440, 'weight': 4}
• 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

  
  {'ALdims': [7, 5, 9, 10, 5, 7, 9, 8], 'Nk2': 23040, 'analytic_conductor': 84.96275040826649, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1440, 1, [991, 901, 641, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 832, 'dim': 60, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110304, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '1440.4.a', 'level': 1440, '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, 5], 'level_radical': 30, 'mf_dim': 896, 'mf_new_dim': 60, 'num_forms': 37, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 1152, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 1500, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 1008, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 2116, 0, 0, 0, -784, 0, 0, 0, 0, 0, 0, 0, 1760, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, -1224, 0, 0, 0, 1680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3656, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 4856, 0, 0, 0, 0, 0, 0, 0, 12556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13856, 0, 0, 0, -1480, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, -13344, 0, 0, 0, 0, 0, 0, 0, -1360, 0, 0, 0, 16264, 0, 0, 0, 0, 0, 0, 0, 25700, 0, 0, 0, 11920, 0, 0, 0, 0, 0, 0, 0, 10152, 0, 0, 0, 2040, 0, 0, 0, 0, 0, 0, 0, 6936, 0, 0, 0, 4640, 0, 0, 0, 0, 0, 0, 0, -2520, 0, 0, 0, 22432, 0, 0, 0, 0, 0, 0, 0, 14832, 0, 0, 0, 22304, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, -6984, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, -5240, 0, 0, 0, 0, 0, 0, 0, -5904, 0, 0, 0, 36696, 0, 0, 0, 0, 0, 0, 0, 5080, 0, 0, 0, 23616, 0, 0, 0, 0, 0, 0, 0, 11360, 0, 0, 0, -34528, 0, 0, 0, 0, 0, 0, 0, 19700, 0, 0, 0, -30064, 0, 0, 0, 0, 0, 0, 0, -7160, 0, 0, 0, 11000, 0, 0, 0, 0, 0, 0, 0, 37528, 0, 0, 0, 22592, 0, 0, 0, 0, 0, 0, 0, -3600, 0, 0, 0, -28392, 0, 0, 0, 0, 0, 0, 0, 10360, 0, 0, 0, -56448, 0, 0, 0, 0, 0, 0, 0, -2728, 0, 0, 0, 21096, 0, 0, 0, 0, 0, 0, 0, 63212, 0, 0, 0, 21440, 0, 0, 0, 0, 0, 0, 0, 35808, 0, 0, 0, -19488, 0, 0, 0, 0, 0, 0, 0, -14640, 0, 0, 0, -15808, 0, 0, 0, 0, 0, 0, 0, -59408, 0, 0, 0, 48344, 0, 0, 0, 0, 0, 0, 0, 7744, 0, 0, 0, -4064, 0, 0, 0, 0, 0, 0, 0, -3520, 0, 0, 0, -3800, 0, 0, 0, 0, 0, 0, 0, 29832, 0, 0, 0, -87648, 0, 0, 0, 0, 0, 0, 0, 11040, 0, 0, 0, 13008, 0, 0, 0, 0, 0, 0, 0, -11272, 0, 0, 0, 12600, 0, 0, 0, 0, 0, 0, 0, 6040, 0, 0, 0, -8656, 0, 0, 0, 0, 0, 0, 0, -35696, 0, 0, 0, 5200, 0, 0, 0, 0, 0, 0, 0, -82576, 0, 0, 0, 30608, 0, 0, 0, 0, 0, 0, 0, -13120, 0, 0, 0, -31160, 0, 0, 0, 0, 0, 0, 0, -53360, 0, 0, 0, -15656, 0, 0, 0, 0, 0, 0, 0, -49436, 0, 0, 0, -70768, 0, 0, 0, 0, 0, 0, 0, 5512, 0, 0, 0, 1400, 0, 0, 0, 0, 0, 0, 0, 8224, 0, 0, 0, 43168, 0, 0, 0, 0, 0, 0, 0, 5360, 0, 0, 0, -21584, 0, 0, 0, 0, 0, 0, 0, -59096, 0, 0, 0, 75672, 0, 0, 0, 0, 0, 0, 0, -87168, 0, 0, 0, -41784, 0, 0, 0, 0, 0, 0, 0, 31280, 0, 0, 0, -16160, 0, 0, 0, 0, 0, 0, 0, -183616, 0, 0, 0, -51464, 0, 0, 0, 0, 0, 0, 0, 37500, 0, 0, 0, -114208, 0, 0, 0, 0, 0, 0, 0, -146688, 0, 0, 0, 38464, 0, 0, 0, 0, 0, 0, 0, -186848, 0, 0, 0, 6752, 0, 0, 0, 0, 0, 0, 0, -52832, 0, 0, 0, 16960, 0, 0, 0, 0, 0, 0, 0, -54616, 0, 0, 0, 57856, 0, 0, 0, 0, 0, 0, 0, 8400, 0, 0, 0, -62160, 0, 0, 0, 0, 0, 0, 0, -70752, 0, 0, 0, -35264, 0, 0, 0, 0, 0, 0, 0, -35880, 0, 0, 0, 99376, 0, 0, 0, 0, 0, 0, 0, 664, 0, 0, 0, -1400, 0, 0, 0, 0, 0, 0, 0, -30320, 0, 0, 0, -29168, 0, 0, 0, 0, 0, 0, 0, 20840, 0, 0, 0, 22504, 0, 0, 0, 0, 0, 0, 0, -10208, 0, 0, 0, 99864, 0, 0, 0, 0, 0, 0, 0, 64120, 0, 0, 0, 266368, 0, 0, 0, 0, 0, 0, 0, -34336, 0, 0, 0, -46600, 0, 0, 0, 0, 0, 0, 0, -202032, 0, 0, 0, -122400, 0, 0, 0, 0, 0, 0, 0, -23960, 0, 0, 0, 75384, 0, 0, 0, 0, 0, 0, 0, -73504, 0, 0, 0, -135840, 0, 0, 0, 0, 0, 0, 0, 38624, 0, 0, 0, -125800, 0, 0, 0, 0, 0, 0, 0, 75140, 0, 0, 0, -18560, 0, 0, 0, 0, 0, 0, 0, 83872, 0, 0, 0, 17880, 0, 0, 0, 0, 0, 0, 0, 23640, 0, 0, 0, 259936, 0, 0, 0, 0, 0, 0, 0, 65104, 0, 0, 0, -116032, 0, 0, 0, 0, 0, 0, 0, 142920, 0, 0, 0, -248800, 0, 0, 0, 0, 0, 0, 0, -165920, 0, 0, 0, 25760, 0, 0, 0, 0, 0, 0, 0, -35760, 0, 0, 0, -132048, 0, 0, 0, 0, 0, 0, 0, 25200, 0, 0, 0, -29392, 0, 0, 0, 0, 0, 0, 0, -139480, 0, 0, 0, 13144, 0, 0, 0, 0, 0, 0, 0, 2528, 0, 0, 0, 103528, 0, 0, 0, 0, 0, 0, 0, -76836, 0, 0, 0, 70240, 0, 0, 0, 0, 0, 0, 0, 332608, 0, 0, 0, -156072, 0, 0, 0, 0, 0, 0, 0, 10760, 0, 0, 0, -216024, 0, 0, 0, 0, 0, 0, 0, 104272, 0, 0, 0], 'weight': 4, '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: 48842187
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 153122387397707168, 'source_is_minimal': True, 'source_label': '1440.4.a.bi.1.3', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 153122387397707168, 'target_is_minimal': True, 'target_label': '1440.4.a.bi.1.3', 'target_level': 1440, 'twist_class_label': '1440.4.a.bh.1.1', 'twist_class_level': 1440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48842188
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 153122387397707168, 'source_is_minimal': True, 'source_label': '1440.4.a.bi.1.3', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 162129586652448160, 'target_is_minimal': True, 'target_label': '1440.4.a.bk.1.3', 'target_level': 1440, 'twist_class_label': '1440.4.a.bh.1.1', 'twist_class_level': 1440, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48842189
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 153122387397707168, 'source_is_minimal': True, 'source_label': '1440.4.a.bi.1.3', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787770336672, 'target_is_minimal': True, 'target_label': '1440.4.a.bh.1.1', 'target_level': 1440, 'twist_class_label': '1440.4.a.bh.1.1', 'twist_class_level': 1440, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48842190
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 153122387397707168, 'source_is_minimal': True, 'source_label': '1440.4.a.bi.1.3', 'source_level': 1440, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 157625987025077664, 'target_is_minimal': True, 'target_label': '1440.4.a.bj.1.1', 'target_level': 1440, 'twist_class_label': '1440.4.a.bh.1.1', 'twist_class_level': 1440, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1950050
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 153122387397707168, 'p': 2}
  • id: 1950051
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 153122387397707168, 'p': 3}
  • id: 1950052
    {'charpoly_factorization': [[[5, 1], 3]], 'hecke_orbit_code': 153122387397707168, 'p': 5}
  • id: 1950053
    {'charpoly_factorization': [[[408, -212, -14, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 7}
  • id: 1950054
    {'charpoly_factorization': [[[10632, -1844, 22, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 11}
  • id: 1950055
    {'charpoly_factorization': [[[-84480, -4464, -8, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 13}
  • id: 1950056
    {'charpoly_factorization': [[[96888, -6788, 34, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 17}
  • id: 1950057
    {'charpoly_factorization': [[[474368, -12928, 4, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 19}
  • id: 1950058
    {'charpoly_factorization': [[[-30720, -1296, 176, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 23}
  • id: 1950059
    {'charpoly_factorization': [[[-2277784, -48532, -98, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 29}
  • id: 1950060
    {'charpoly_factorization': [[[1707904, -36688, -88, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 31}
  • id: 1950061
    {'charpoly_factorization': [[[15742208, -102400, -284, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 37}
  • id: 1950062
    {'charpoly_factorization': [[[9332224, -85312, 8, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 41}
  • id: 1950063
    {'charpoly_factorization': [[[39200768, -64512, -504, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 43}
  • id: 1950064
    {'charpoly_factorization': [[[-3734656, -195472, 280, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 47}
  • id: 1950065
    {'charpoly_factorization': [[[55880, -192948, 150, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 53}
  • id: 1950066
    {'charpoly_factorization': [[[-160926744, -414132, 350, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 59}
  • id: 1950067
    {'charpoly_factorization': [[[23932568, -476308, -350, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 61}
  • id: 1950068
    {'charpoly_factorization': [[[-5531328, 175152, -804, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 67}
  • id: 1950069
    {'charpoly_factorization': [[[-3957312, -1488, 500, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 71}
  • id: 1950070
    {'charpoly_factorization': [[[-1079800, -82740, 486, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 73}
  • id: 1950071
    {'charpoly_factorization': [[[-76128384, 682672, -1592, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 79}
  • id: 1950072
    {'charpoly_factorization': [[[220672448, -333648, -684, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 83}
  • id: 1950073
    {'charpoly_factorization': [[[-4766400, 20400, 668, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 89}
  • id: 1950074
    {'charpoly_factorization': [[[-105157160, 130604, 1394, 1], 1]], 'hecke_orbit_code': 153122387397707168, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 35, 'label': '1440.4.a.bi', 'level': 1440, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69669523
    {'hecke_orbit_code': 153122387397707168, 'n': 1, 'trace_an': 3}
  • id: 69669524
    {'hecke_orbit_code': 153122387397707168, 'n': 2, 'trace_an': 0}
  • id: 69669525
    {'hecke_orbit_code': 153122387397707168, 'n': 3, 'trace_an': 0}
  • id: 69669526
    {'hecke_orbit_code': 153122387397707168, 'n': 4, 'trace_an': 0}
  • id: 69669527
    {'hecke_orbit_code': 153122387397707168, 'n': 5, 'trace_an': -15}
  • id: 69669528
    {'hecke_orbit_code': 153122387397707168, 'n': 6, 'trace_an': 0}
  • id: 69669529
    {'hecke_orbit_code': 153122387397707168, 'n': 7, 'trace_an': 14}
  • id: 69669530
    {'hecke_orbit_code': 153122387397707168, 'n': 8, 'trace_an': 0}
  • id: 69669531
    {'hecke_orbit_code': 153122387397707168, 'n': 9, 'trace_an': 0}
  • id: 69669532
    {'hecke_orbit_code': 153122387397707168, 'n': 10, 'trace_an': 0}
  • id: 69669533
    {'hecke_orbit_code': 153122387397707168, 'n': 11, 'trace_an': -22}
  • id: 69669534
    {'hecke_orbit_code': 153122387397707168, 'n': 12, 'trace_an': 0}
  • id: 69669535
    {'hecke_orbit_code': 153122387397707168, 'n': 13, 'trace_an': 8}
  • id: 69669536
    {'hecke_orbit_code': 153122387397707168, 'n': 14, 'trace_an': 0}
  • id: 69669537
    {'hecke_orbit_code': 153122387397707168, 'n': 15, 'trace_an': 0}
  • id: 69669538
    {'hecke_orbit_code': 153122387397707168, 'n': 16, 'trace_an': 0}
  • id: 69669539
    {'hecke_orbit_code': 153122387397707168, 'n': 17, 'trace_an': -34}
  • id: 69669540
    {'hecke_orbit_code': 153122387397707168, 'n': 18, 'trace_an': 0}
  • id: 69669541
    {'hecke_orbit_code': 153122387397707168, 'n': 19, 'trace_an': -4}
  • id: 69669542
    {'hecke_orbit_code': 153122387397707168, 'n': 20, 'trace_an': 0}
  • id: 69669543
    {'hecke_orbit_code': 153122387397707168, 'n': 21, 'trace_an': 0}
  • id: 69669544
    {'hecke_orbit_code': 153122387397707168, 'n': 22, 'trace_an': 0}
  • id: 69669545
    {'hecke_orbit_code': 153122387397707168, 'n': 23, 'trace_an': -176}
  • id: 69669546
    {'hecke_orbit_code': 153122387397707168, 'n': 24, 'trace_an': 0}
  • id: 69669547
    {'hecke_orbit_code': 153122387397707168, 'n': 25, 'trace_an': 75}
  • id: 69669548
    {'hecke_orbit_code': 153122387397707168, 'n': 26, 'trace_an': 0}
  • id: 69669549
    {'hecke_orbit_code': 153122387397707168, 'n': 27, 'trace_an': 0}
  • id: 69669550
    {'hecke_orbit_code': 153122387397707168, 'n': 28, 'trace_an': 0}
  • id: 69669551
    {'hecke_orbit_code': 153122387397707168, 'n': 29, 'trace_an': 98}
  • id: 69669552
    {'hecke_orbit_code': 153122387397707168, 'n': 30, 'trace_an': 0}
  • id: 69669553
    {'hecke_orbit_code': 153122387397707168, 'n': 31, 'trace_an': 88}
  • id: 69669554
    {'hecke_orbit_code': 153122387397707168, 'n': 32, 'trace_an': 0}
  • id: 69669555
    {'hecke_orbit_code': 153122387397707168, 'n': 33, 'trace_an': 0}
  • id: 69669556
    {'hecke_orbit_code': 153122387397707168, 'n': 34, 'trace_an': 0}
  • id: 69669557
    {'hecke_orbit_code': 153122387397707168, 'n': 35, 'trace_an': -70}
  • id: 69669558
    {'hecke_orbit_code': 153122387397707168, 'n': 36, 'trace_an': 0}
  • id: 69669559
    {'hecke_orbit_code': 153122387397707168, 'n': 37, 'trace_an': 284}
  • id: 69669560
    {'hecke_orbit_code': 153122387397707168, 'n': 38, 'trace_an': 0}
  • id: 69669561
    {'hecke_orbit_code': 153122387397707168, 'n': 39, 'trace_an': 0}
  • id: 69669562
    {'hecke_orbit_code': 153122387397707168, 'n': 40, 'trace_an': 0}
  • id: 69669563
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  • id: 69669756
    {'hecke_orbit_code': 153122387397707168, 'n': 839, 'trace_an': 18512}
  • id: 69669757
    {'hecke_orbit_code': 153122387397707168, 'n': 841, 'trace_an': 33501}
  • id: 69669758
    {'hecke_orbit_code': 153122387397707168, 'n': 853, 'trace_an': -10804}
  • id: 69669759
    {'hecke_orbit_code': 153122387397707168, 'n': 857, 'trace_an': 25230}
  • id: 69669760
    {'hecke_orbit_code': 153122387397707168, 'n': 859, 'trace_an': 40932}
  • id: 69669761
    {'hecke_orbit_code': 153122387397707168, 'n': 863, 'trace_an': 50144}
  • id: 69669762
    {'hecke_orbit_code': 153122387397707168, 'n': 877, 'trace_an': 32648}
  • id: 69669763
    {'hecke_orbit_code': 153122387397707168, 'n': 881, 'trace_an': 54484}
  • id: 69669764
    {'hecke_orbit_code': 153122387397707168, 'n': 883, 'trace_an': -23532}
  • id: 69669765
    {'hecke_orbit_code': 153122387397707168, 'n': 887, 'trace_an': 65688}
  • id: 69669766
    {'hecke_orbit_code': 153122387397707168, 'n': 907, 'trace_an': 33720}
  • id: 69669767
    {'hecke_orbit_code': 153122387397707168, 'n': 911, 'trace_an': -130288}
  • id: 69669768
    {'hecke_orbit_code': 153122387397707168, 'n': 919, 'trace_an': -40792}
  • id: 69669769
    {'hecke_orbit_code': 153122387397707168, 'n': 929, 'trace_an': 80884}
  • id: 69669770
    {'hecke_orbit_code': 153122387397707168, 'n': 937, 'trace_an': -75922}
  • id: 69669771
    {'hecke_orbit_code': 153122387397707168, 'n': 941, 'trace_an': -53338}
  • id: 69669772
    {'hecke_orbit_code': 153122387397707168, 'n': 947, 'trace_an': 84792}
  • id: 69669773
    {'hecke_orbit_code': 153122387397707168, 'n': 953, 'trace_an': -9766}
  • id: 69669774
    {'hecke_orbit_code': 153122387397707168, 'n': 961, 'trace_an': -8253}
  • id: 69669775
    {'hecke_orbit_code': 153122387397707168, 'n': 967, 'trace_an': 40806}
  • id: 69669776
    {'hecke_orbit_code': 153122387397707168, 'n': 971, 'trace_an': -124538}
  • id: 69669777
    {'hecke_orbit_code': 153122387397707168, 'n': 977, 'trace_an': 58574}
  • id: 69669778
    {'hecke_orbit_code': 153122387397707168, 'n': 983, 'trace_an': 4768}
  • id: 69669779
    {'hecke_orbit_code': 153122387397707168, 'n': 991, 'trace_an': -660}
  • id: 69669780
    {'hecke_orbit_code': 153122387397707168, 'n': 997, 'trace_an': 53328}