Embedded newform data - 768.6.a.be.1.5

Formats: - HTML - YAML - JSON - 2024-05-12T18:26:00.614795

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 27648, 'analytic_conductor': 123.17477361636912, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [768, 1, [511, 517, 257], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 6, 'field_disc': 3543249777152, 'field_disc_factorization': [[2, 9], [41, 2], [2029, 2]], 'field_poly': [-68866, 6040, 7709, 62, -167, -2, 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': 1, 'hecke_cutters': [[5, [-10895241728, 0, 30489792, 0, -14040, 0, 1]], [7, [-4710436295168, 0, 1601504448, 0, -84312, 0, 1]], [11, [-56979904, -310480, -20, 1]]], 'hecke_orbit': 31, 'hecke_orbit_code': 135107988921778944, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 134217728, 'hecke_ring_index_factorization': [[2, 27]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '768.6.a.be', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '384.6.d.j', 'prim_orbit_index': 1, 'qexp_display': 'q-9q^{3}+\\beta _{1}q^{5}+(-\\beta _{1}+\\beta _{3})q^{7}+3^{4}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '768.6.a', 'trace_display': [0, -54, 0, 0], 'trace_hash': 1083273331624609944, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.569', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '167.184', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7208.359', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [6, 0, -54, 0, 0, 0, 0, 0, 486, 0, 40, 0, 0, 0, 0, 0, -2444, 0, -728, 0, 0, 0, 0, 0, 9330, 0, -4374, 0, 0, 0, 0, 0, -360, 0, -16432, 0, 0, 0, 0, 0, 12548, 0, -24072, 0, 0, 0, 0, 0, 67782, 0, 21996, 0, 0, 0, 0, 0, 6552, 0, 64856, 0, 0, 0, 0, 0, 127136, 0, 21544, 0, 0, 0, 0, 0, 93516, 0, -83970, 0, 0, 0, 0, 0, 39366, 0, -303016, 0, 0, 0, 0, 0, 287772, 0, -262048, 0, 0, 0, 0, 0, 46932, 0, 3240, 0, 0, 0, 0, 0, 147888, 0, -418056, 0, 0, 0, 0, 0, -72820, 0, -615328, 0, 0, 0, 0, 0, 276414, 0, -112932, 0, 0, 0, 0, 0, 216648, 0, -546168, 0, 0, 0, 0, 0, -814588, 0, -905128, 0, 0, 0, 0, 0, 67920, 0, -610038, 0, 0, 0, 0, 0, -197964, 0, -1782384, 0, 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-536009100, 0, 742807152, 0, 0, 0, 0, 0, -475613856, 0, -697578024, 0, 0, 0, 0, 0, 377219228, 0, 2504182744, 0, 0, 0, 0, 0, 337436352, 0, -448193736, 0, 0, 0, 0, 0, 1144175184, 0, -1486743856, 0, 0, 0, 0, 0, -328256120, 0, 2640297632, 0, 0, 0, 0, 0], 'weight': 6, '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

  
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'angles': [None, None, -0.18226165234089264, -0.21287912900139747, -0.33304808688092674, -0.20337949758236726, -0.12711761789309886, -0.2786934305116353, -0.3862152170150378, -0.36392708947133223, -0.20972876769076793, -0.24262184534684336, -0.21178298030094506, -0.18579797097215647, -0.293296625675165, -0.20645172350751737, -0.3526307093370666, -0.35441251580741684, -0.22529215960912033, -0.2695230530000188, -0.17742813559840406, -0.2872872825085114, -0.24716000067475793, -0.2338393718221395, -0.08683859766348291, -0.11401290306932958, -0.18164276890712083, -0.32941019403995975, -0.4255100690055755, -0.253540976416278, -0.07078671412491175, -0.3240165060809234, -0.26824067205447294, -0.3978509682016995, -0.06118251902272238, -0.3159715175122193, -0.3853441711053572, -0.2838349656856435, -0.2880544333246075, -0.24215750939170985, -0.3271443324838512, -0.28053158566364783, -0.2132486199911036, -0.24888715698541355, -0.33983643427224897, -0.4583166241470129, -0.36591766755321325, 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-0.288247928424825, -0.391749695117101, -0.36896747077099173, -0.16956564673507887, -0.19769464541012313, -0.1648193078227591, -0.3004810797293769, -0.17373458242268025, -0.4136686249927093, -0.18547427084089527, -0.09850402858013084, -0.22620302571390186, -0.22825378616008798, -0.3394663500525073, -0.25353408485065254, -0.33111741919261295, -0.1203650761719095, -0.13862432141773004, -0.3798233810917334, -0.29461478119523915, -0.16794108326465387, -0.28615723380274793, -0.15835755812016705, -0.15598496319794872, -0.41206020215125777, -0.24834323031500688, -0.2322637187641352, -0.2046174780535964, -0.22537315307275851], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': 0.0, 'embedding_root_real': 10.852506755213199, 'hecke_orbit': 31, 'hecke_orbit_code': 135107988921778944, 'label': '768.6.a.be.1.5', 'level': 768, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1]], 18, 8], [[[2, 1], [3, -1]], 22, 8], [[[2, -1], [3, 1]], 20, 8], [[[2, 1], [3, 1]], 20, 8]], 'ALdims': [20, 22, 20, 18], 'Nk2': 27648, 'analytic_conductor': 123.17477361636912, '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': [768, 1, [511, 517, 257], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 616, 'dim': 80, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 100664064, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6], 'label': '768.6.a', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 664, 'mf_new_dim': 80, 'num_forms': 32, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 80, 'sturm_bound': 768, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, 0, 0, 0, 0, 0, 6480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 250608, 0, 0, 0, 0, 0, 0, 0, -51552, 0, 0, 0, 0, 0, 0, 0, -110752, 0, 0, 0, 0, 0, 0, 0, -169984, 0, 0, 0, 0, 0, 0, 0, 524880, 0, 0, 0, 0, 0, 0, 0, 280928, 0, 0, 0, 0, 0, 0, 0, -294752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -243168, 0, 0, 0, 0, 0, 0, 0, 987664, 0, 0, 0, 0, 0, 0, 0, -120672, 0, 0, 0, 0, 0, 0, 0, 789184, 0, 0, 0, 0, 0, 0, 0, 478048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1941184, 0, 0, 0, 0, 0, 0, 0, 2842608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4448, 0, 0, 0, 0, 0, 0, 0, 2903744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2047648, 0, 0, 0, 0, 0, 0, 0, 4050000, 0, 0, 0, 0, 0, 0, 0, 1945632, 0, 0, 0, 0, 0, 0, 0, -3533120, 0, 0, 0, 0, 0, 0, 0, -2329920, 0, 0, 0, 0, 0, 0, 0, 2015392, 0, 0, 0, 0, 0, 0, 0, 1326432, 0, 0, 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• 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: 48748602
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 135107988921778944, 'target_is_minimal': False, 'target_label': '768.6.a.be.1.5', 'target_level': 768, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 48748603
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 139611588549149440, 'target_is_minimal': False, 'target_label': '768.6.a.bf.1.5', 'target_level': 768, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 48748604
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 135107988921778944, 'target_is_minimal': False, 'target_label': '768.6.a.be.1.2', 'target_level': 768, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 48748605
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588549149440, 'target_is_minimal': False, 'target_label': '768.6.a.bf.1.2', 'target_level': 768, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 48748606
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 193, 'target_dim': 12, 'target_embedding_index': 8, 'target_hecke_orbit_code': 40532602905428352, 'target_is_minimal': True, 'target_label': '384.6.d.j.193.8', 'target_level': 384, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 48748607
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 193, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 40532602905428352, 'target_is_minimal': True, 'target_label': '384.6.d.j.193.11', 'target_level': 384, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 48748608
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 193, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 40532602905428352, 'target_is_minimal': True, 'target_label': '384.6.d.j.193.5', 'target_level': 384, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 48748609
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 135107988921778944, 'source_is_minimal': False, 'source_label': '768.6.a.be.1.5', 'source_level': 768, 'target_conrey_index': 193, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532602905428352, 'target_is_minimal': True, 'target_label': '384.6.d.j.193.2', 'target_level': 384, 'twist_class_label': '384.6.d.j.193.2', 'twist_class_level': 384, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1305700
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 135107988921778944, 'p': 2}
  • id: 1305701
    {'charpoly_factorization': [[[9, 1], 6]], 'hecke_orbit_code': 135107988921778944, 'p': 3}
  • id: 1305702
    {'charpoly_factorization': [[[-10895241728, 0, 30489792, 0, -14040, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 5}
  • id: 1305703
    {'charpoly_factorization': [[[-4710436295168, 0, 1601504448, 0, -84312, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 7}
  • id: 1305704
    {'charpoly_factorization': [[[-56979904, -310480, -20, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 11}
  • id: 1305705
    {'charpoly_factorization': [[[-3159028631109632, 0, 69437279232, 0, -478560, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 13}
  • id: 1305706
    {'charpoly_factorization': [[[-2972835064, -3007732, 1222, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 17}
  • id: 1305707
    {'charpoly_factorization': [[[-2897271232, -5247184, 364, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 19}
  • id: 1305708
    {'charpoly_factorization': [[[-3028594260171849728, 0, 21711854914560, 0, -16145760, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 23}
  • id: 1305709
    {'charpoly_factorization': [[[-14399826483175923020288, 0, 1891514268994752, 0, -77332440, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 29}
  • id: 1305710
    {'charpoly_factorization': [[[-3328544598746193510912, 0, 1087065669562560, 0, -94022424, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 31}
  • id: 1305711
    {'charpoly_factorization': [[[-21927090644110540800, 0, 145891457040384, 0, -183716352, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 37}
  • id: 1305712
    {'charpoly_factorization': [[[560226749800, -103515988, -6274, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 41}
  • id: 1305713
    {'charpoly_factorization': [[[-745289149248, -126883152, 12036, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 43}
  • id: 1305714
    {'charpoly_factorization': [[[-13715402194817062157975552, 0, 267793681651682304, 0, -982944096, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 47}
  • id: 1305715
    {'charpoly_factorization': [[[-2209115635684204372341248, 0, 62452129645157568, 0, -485370072, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 53}
  • id: 1305716
    {'charpoly_factorization': [[[33069211542976, -1046724304, -32428, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 59}
  • id: 1305717
    {'charpoly_factorization': [[[-22694881137278507389288448, 0, 359877102186381312, 0, -1528967040, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 61}
  • id: 1305718
    {'charpoly_factorization': [[[14430431514176, -1276683472, -10772, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 67}
  • id: 1305719
    {'charpoly_factorization': [[[-1414030196102204082126848, 0, 469254192872573952, 0, -4329842016, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 71}
  • id: 1305720
    {'charpoly_factorization': [[[12280634576248, -39229812, -46758, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 73}
  • id: 1305721
    {'charpoly_factorization': [[[-2071809725483739599818670592, 0, 5517140211967561920, 0, -4272026904, 0, 1], 1]], 'hecke_orbit_code': 135107988921778944, 'p': 79}
  • id: 1305722
    {'charpoly_factorization': [[[-11704705520192, 4881532208, 151508, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 83}
  • id: 1305723
    {'charpoly_factorization': [[[-28858879919016, 3855233772, -143886, 1], 2]], 'hecke_orbit_code': 135107988921778944, 'p': 89}
  • id: 1305724
    {'charpoly_factorization': [[[-592920131000504, -17638546356, -23466, 1], 2]], 'hecke_orbit_code': 135107988921778944, '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': 31, 'label': '768.6.a.be', 'level': 768, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 266423000
    {'hecke_orbit_code': 135107988921778944, 'n': 1, 'trace_an': 6}
  • id: 266423001
    {'hecke_orbit_code': 135107988921778944, 'n': 2, 'trace_an': 0}
  • id: 266423002
    {'hecke_orbit_code': 135107988921778944, 'n': 3, 'trace_an': -54}
  • id: 266423003
    {'hecke_orbit_code': 135107988921778944, 'n': 4, 'trace_an': 0}
  • id: 266423004
    {'hecke_orbit_code': 135107988921778944, 'n': 5, 'trace_an': 0}
  • id: 266423005
    {'hecke_orbit_code': 135107988921778944, 'n': 6, 'trace_an': 0}
  • id: 266423006
    {'hecke_orbit_code': 135107988921778944, 'n': 7, 'trace_an': 0}
  • id: 266423007
    {'hecke_orbit_code': 135107988921778944, 'n': 8, 'trace_an': 0}
  • id: 266423008
    {'hecke_orbit_code': 135107988921778944, 'n': 9, 'trace_an': 486}
  • id: 266423009
    {'hecke_orbit_code': 135107988921778944, 'n': 10, 'trace_an': 0}
  • id: 266423010
    {'hecke_orbit_code': 135107988921778944, 'n': 11, 'trace_an': 40}
  • id: 266423011
    {'hecke_orbit_code': 135107988921778944, 'n': 12, 'trace_an': 0}
  • id: 266423012
    {'hecke_orbit_code': 135107988921778944, 'n': 13, 'trace_an': 0}
  • id: 266423013
    {'hecke_orbit_code': 135107988921778944, 'n': 14, 'trace_an': 0}
  • id: 266423014
    {'hecke_orbit_code': 135107988921778944, 'n': 15, 'trace_an': 0}
  • id: 266423015
    {'hecke_orbit_code': 135107988921778944, 'n': 16, 'trace_an': 0}
  • id: 266423016
    {'hecke_orbit_code': 135107988921778944, 'n': 17, 'trace_an': -2444}
  • id: 266423017
    {'hecke_orbit_code': 135107988921778944, 'n': 18, 'trace_an': 0}
  • id: 266423018
    {'hecke_orbit_code': 135107988921778944, 'n': 19, 'trace_an': -728}
  • id: 266423019
    {'hecke_orbit_code': 135107988921778944, 'n': 20, 'trace_an': 0}
  • id: 266423020
    {'hecke_orbit_code': 135107988921778944, 'n': 21, 'trace_an': 0}
  • id: 266423021
    {'hecke_orbit_code': 135107988921778944, 'n': 22, 'trace_an': 0}
  • id: 266423022
    {'hecke_orbit_code': 135107988921778944, 'n': 23, 'trace_an': 0}
  • id: 266423023
    {'hecke_orbit_code': 135107988921778944, 'n': 24, 'trace_an': 0}
  • id: 266423024
    {'hecke_orbit_code': 135107988921778944, 'n': 25, 'trace_an': 9330}
  • id: 266423025
    {'hecke_orbit_code': 135107988921778944, 'n': 26, 'trace_an': 0}
  • id: 266423026
    {'hecke_orbit_code': 135107988921778944, 'n': 27, 'trace_an': -4374}
  • id: 266423027
    {'hecke_orbit_code': 135107988921778944, 'n': 28, 'trace_an': 0}
  • id: 266423028
    {'hecke_orbit_code': 135107988921778944, 'n': 29, 'trace_an': 0}
  • id: 266423029
    {'hecke_orbit_code': 135107988921778944, 'n': 30, 'trace_an': 0}
  • id: 266423030
    {'hecke_orbit_code': 135107988921778944, 'n': 31, 'trace_an': 0}
  • id: 266423031
    {'hecke_orbit_code': 135107988921778944, 'n': 32, 'trace_an': 0}
  • id: 266423032
    {'hecke_orbit_code': 135107988921778944, 'n': 33, 'trace_an': -360}
  • id: 266423033
    {'hecke_orbit_code': 135107988921778944, 'n': 34, 'trace_an': 0}
  • id: 266423034
    {'hecke_orbit_code': 135107988921778944, 'n': 35, 'trace_an': -16432}
  • id: 266423035
    {'hecke_orbit_code': 135107988921778944, 'n': 36, 'trace_an': 0}
  • id: 266423036
    {'hecke_orbit_code': 135107988921778944, 'n': 37, 'trace_an': 0}
  • id: 266423037
    {'hecke_orbit_code': 135107988921778944, 'n': 38, 'trace_an': 0}
  • id: 266423038
    {'hecke_orbit_code': 135107988921778944, 'n': 39, 'trace_an': 0}
  • id: 266423039
    {'hecke_orbit_code': 135107988921778944, 'n': 40, 'trace_an': 0}
  • id: 266423040
    {'hecke_orbit_code': 135107988921778944, 'n': 41, 'trace_an': 12548}
  • id: 266423041
    {'hecke_orbit_code': 135107988921778944, 'n': 42, 'trace_an': 0}
  • id: 266423042
    {'hecke_orbit_code': 135107988921778944, 'n': 43, 'trace_an': -24072}
  • id: 266423043
    {'hecke_orbit_code': 135107988921778944, 'n': 44, 'trace_an': 0}
  • id: 266423044
    {'hecke_orbit_code': 135107988921778944, 'n': 45, 'trace_an': 0}
  • id: 266423045
    {'hecke_orbit_code': 135107988921778944, 'n': 46, 'trace_an': 0}
  • id: 266423046
    {'hecke_orbit_code': 135107988921778944, 'n': 47, 'trace_an': 0}
  • id: 266423047
    {'hecke_orbit_code': 135107988921778944, 'n': 48, 'trace_an': 0}
  • id: 266423048
    {'hecke_orbit_code': 135107988921778944, 'n': 49, 'trace_an': 67782}
  • id: 266423049
    {'hecke_orbit_code': 135107988921778944, 'n': 50, 'trace_an': 0}
  • id: 266423050
    {'hecke_orbit_code': 135107988921778944, 'n': 51, 'trace_an': 21996}
  • id: 266423051
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  • id: 266423056
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  • id: 266423058
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  • id: 266423066
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  • id: 266423152
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  • id: 266423154
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  • id: 266423192
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    {'hecke_orbit_code': 135107988921778944, 'n': 996, 'trace_an': 0}
  • id: 266423996
    {'hecke_orbit_code': 135107988921778944, 'n': 997, 'trace_an': 0}
  • id: 266423997
    {'hecke_orbit_code': 135107988921778944, 'n': 998, 'trace_an': 0}
  • id: 266423998
    {'hecke_orbit_code': 135107988921778944, 'n': 999, 'trace_an': 0}
  • id: 266423999
    {'hecke_orbit_code': 135107988921778944, 'n': 1000, 'trace_an': 0}