Embedded newform data - 9280.2.a.ba.1.2

Formats: - HTML - YAML - JSON - 2026-04-17T02:38:31.655298

• 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': 37120, 'analytic_conductor': 74.10117307574819, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [29, 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': [9280, 1, [4351, 581, 1857, 321], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [0, 1]], [7, [-8, 0, 1]], [11, [-8, 0, 1]], [13, [-2, 1]], [19, [-8, 0, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345196608, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9280.2.a.ba', 'level': 9280, '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, 5, 29], 'level_radical': 290, 'minimal_twist': '4640.2.a.h', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{5}-\\beta q^{7}-3q^{9}+\\beta q^{11}+2q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9280.2.a', 'trace_display': [0, 0, -2, 0], 'trace_hash': 1449090258080161565, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.071', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.926', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.513', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.597', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.118', 'prec': 17}, {'__RealLiteral__': 0, 'data': '136.933', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [2, 0, 0, 0, -2, 0, 0, 0, -6, 0, 0, 0, 4, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 20, 0, 0, 0, 6, 0, 0, 0, 2, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -16, 0, 0, 0, 18, 0, 0, 0, 12, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 4, 0, 0, 0, -12, 0, 0, 0, -6, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 36, 0, 0, 0, 36, 0, 0, 0, 20, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, -16, 0, 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0, 48, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 132, 0, 0, 0, -192, 0, 0, 0, -4, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 200, 0, 0, 0, -108, 0, 0, 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], [0.0, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [1.0690449676496976, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [-0.8528028654224418, 0.0], [0.0, 0.0], [0.5547001962252291, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4552137502179978, 0.0], [0.0, 0.0], [0.6488856845230502, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7693034738587656, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.18569533817705186, 0.0], [0.0, 0.0], [-1.524001524002286, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.47809144373375745, 0.0], [0.0, 0.0], [-0.9863939238321437, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5617376188860606, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [1.6502739940140694, 0.0], [0.0, 0.0], [0.14285714285714285, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [0.38138503569823695, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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-0.19397300954648797, -0.310458920413014, -0.24702223548814722, -0.17259687566466805, -0.22896466370718266, -0.13569950351007332, -0.3789846588131545, -0.21632977674261722, -0.14521362188642256, -0.3784111178683902, -0.3186761190403069, -0.2036791377380542, -0.1307989530045798, -0.14621449584823404, -0.2875622058435726, -0.0953445300392752, -0.2917716220049131, -0.3133069738020205], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345196608, 'label': '9280.2.a.ba.1.2', 'level': 9280, '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

  
  {'ALdims': [26, 30, 30, 26, 30, 26, 26, 30], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [139, 154, 146, 154, 160, 144, 152, 144], 'Nk2': 37120, 'analytic_conductor': 74.10117307574819, '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': [9280, 1, [4351, 581, 1857, 321], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1417, 'dim': 224, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11, 13, 19], 'hecke_orbit_code': 33563712, 'hecke_orbit_dims': [1, 1, 1, 1, 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, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 10, 10], 'label': '9280.2.a', 'level': 9280, '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, 5, 29], 'level_radical': 290, 'mf_dim': 1464, 'mf_new_dim': 224, 'num_forms': 73, 'plus_dim': 104, 'prim_orbit_index': 1, 'relative_dim': 224, 'sturm_bound': 2880, 'trace_bound': 21, 'trace_display': [0, 0, 0, 0], 'traces': [224, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, -128, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 224, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 256, 0, 0, 0, -96, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 96, 0, 0, 0, 256, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 192, 0, 0, 0, 160, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, 256, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -32, 0, 0, 0, 416, 0, 0, 0, 96, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 64, 0, 0, 0, 256, 0, 0, 0, 224, 0, 0, 0, 128, 0, 0, 0, -96, 0, 0, 0, -288, 0, 0, 0, 32, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, -288, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, -224, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, -64, 0, 0, 0, -160, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -352, 0, 0, 0, -224, 0, 0, 0, -256, 0, 0, 0, 128, 0, 0, 0, -256, 0, 0, 0, -96, 0, 0, 0, -512, 0, 0, 0, -192, 0, 0, 0, 32, 0, 0, 0, -256, 0, 0, 0, -192, 0, 0, 0, 384, 0, 0, 0, -320, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -96, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, -320, 0, 0, 0, -320, 0, 0, 0, 224, 0, 0, 0, -128, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, 384, 0, 0, 0, -448, 0, 0, 0, -224, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, -288, 0, 0, 0, -192, 0, 0, 0, 128, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 160, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, -352, 0, 0, 0, -32, 0, 0, 0, -128, 0, 0, 0, 128, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -352, 0, 0, 0, -288, 0, 0, 0, -448, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, -160, 0, 0, 0, -224, 0, 0, 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: 48623718
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345196608, 'source_is_minimal': False, 'source_label': '9280.2.a.ba.1.2', 'source_level': 9280, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590345196608, 'target_is_minimal': False, 'target_label': '9280.2.a.ba.1.2', 'target_level': 9280, 'twist_class_label': '4640.2.a.h.1.1', 'twist_class_level': 4640, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48623719
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345196608, 'source_is_minimal': False, 'source_label': '9280.2.a.ba.1.2', 'source_level': 9280, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590345196608, 'target_is_minimal': False, 'target_label': '9280.2.a.ba.1.1', 'target_level': 9280, 'twist_class_label': '4640.2.a.h.1.1', 'twist_class_level': 4640, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48623720
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345196608, 'source_is_minimal': False, 'source_label': '9280.2.a.ba.1.2', 'source_level': 9280, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425152544, 'target_is_minimal': True, 'target_label': '4640.2.a.h.1.1', 'target_level': 4640, 'twist_class_label': '4640.2.a.h.1.1', 'twist_class_level': 4640, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48623721
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345196608, 'source_is_minimal': False, 'source_label': '9280.2.a.ba.1.2', 'source_level': 9280, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197425152544, 'target_is_minimal': True, 'target_label': '4640.2.a.h.1.2', 'target_level': 4640, 'twist_class_label': '4640.2.a.h.1.1', 'twist_class_level': 4640, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4985100
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 2}
  • id: 4985101
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 3}
  • id: 4985102
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 5}
  • id: 4985103
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 7}
  • id: 4985104
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 11}
  • id: 4985105
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 13}
  • id: 4985106
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 17}
  • id: 4985107
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 19}
  • id: 4985108
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 23}
  • id: 4985109
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 29}
  • id: 4985110
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 31}
  • id: 4985111
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 37}
  • id: 4985112
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 41}
  • id: 4985113
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 43}
  • id: 4985114
    {'charpoly_factorization': [[[-128, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 47}
  • id: 4985115
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 53}
  • id: 4985116
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 59}
  • id: 4985117
    {'charpoly_factorization': [[[14, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 61}
  • id: 4985118
    {'charpoly_factorization': [[[-200, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 67}
  • id: 4985119
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 71}
  • id: 4985120
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 73}
  • id: 4985121
    {'charpoly_factorization': [[[-200, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 79}
  • id: 4985122
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 117093590345196608, 'p': 83}
  • id: 4985123
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 117093590345196608, 'p': 89}
  • id: 4985124
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 117093590345196608, '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': 27, 'label': '9280.2.a.ba', 'level': 9280, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 67408153
    {'hecke_orbit_code': 117093590345196608, 'n': 1, 'trace_an': 2}
  • id: 67408154
    {'hecke_orbit_code': 117093590345196608, 'n': 2, 'trace_an': 0}
  • id: 67408155
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  • id: 67408156
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  • id: 67408160
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  • id: 67408161
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  • id: 67408162
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  • id: 67408163
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  • id: 67408165
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  • id: 67408166
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  • id: 67408167
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  • id: 67408168
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  • id: 67408169
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  • id: 67408170
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  • id: 67408171
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  • id: 67408172
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  • id: 67408173
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  • id: 67408175
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  • id: 67408176
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  • id: 67408177
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  • id: 67408178
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  • id: 67408179
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  • id: 67408180
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  • id: 67408181
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  • id: 67408182
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  • id: 67408184
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  • id: 67408188
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  • id: 67408190
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  • id: 67408191
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  • id: 67408193
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  • id: 67408200
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  • id: 67408201
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  • id: 67408203
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  • id: 67408205
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  • id: 67408206
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  • id: 67408210
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  • id: 67408212
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  • id: 67408213
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  • id: 67408214
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  • id: 67408219
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  • id: 67408225
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  • id: 67408227
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  • id: 67408228
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  • id: 67408229
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  • id: 67408230
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  • id: 67408231
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  • id: 67408237
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  • id: 67408238
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  • id: 67408239
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  • id: 67408240
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  • id: 67408241
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  • id: 67408242
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  • id: 67408243
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  • id: 67408244
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  • id: 67408248
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  • id: 67408249
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  • id: 67408250
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  • id: 67408251
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  • id: 67408252
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  • id: 67408253
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  • id: 67408254
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  • id: 67408255
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  • id: 67408256
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  • id: 67408257
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  • id: 67408258
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  • id: 67408259
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  • id: 67408260
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  • id: 67408261
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  • id: 67408262
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  • id: 67408263
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  • id: 67408264
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  • id: 67408265
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  • id: 67408266
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  • id: 67408267
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  • id: 67408268
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  • id: 67408269
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  • id: 67408270
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  • id: 67408271
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  • id: 67408272
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  • id: 67408273
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  • id: 67408274
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  • id: 67408277
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  • id: 67408293
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  • id: 67408295
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  • id: 67408296
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  • id: 67408297
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  • id: 67408299
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  • id: 67408300
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  • id: 67408301
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  • id: 67408302
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  • id: 67408306
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  • id: 67408310
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  • id: 67408311
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  • id: 67408312
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  • id: 67408313
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  • id: 67408314
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  • id: 67408315
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  • id: 67408316
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  • id: 67408317
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  • id: 67408318
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  • id: 67408319
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  • id: 67408320
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  • id: 67408321
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  • id: 67408323
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  • id: 67408324
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  • id: 67408325
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  • id: 67408340
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  • id: 67408350
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  • id: 67408357
    {'hecke_orbit_code': 117093590345196608, 'n': 647, 'trace_an': 0}
  • id: 67408358
    {'hecke_orbit_code': 117093590345196608, 'n': 653, 'trace_an': 84}
  • id: 67408359
    {'hecke_orbit_code': 117093590345196608, 'n': 659, 'trace_an': 0}
  • id: 67408360
    {'hecke_orbit_code': 117093590345196608, 'n': 661, 'trace_an': 36}
  • id: 67408361
    {'hecke_orbit_code': 117093590345196608, 'n': 673, 'trace_an': 68}
  • id: 67408362
    {'hecke_orbit_code': 117093590345196608, 'n': 677, 'trace_an': -60}
  • id: 67408363
    {'hecke_orbit_code': 117093590345196608, 'n': 683, 'trace_an': 0}
  • id: 67408364
    {'hecke_orbit_code': 117093590345196608, 'n': 691, 'trace_an': 0}
  • id: 67408365
    {'hecke_orbit_code': 117093590345196608, 'n': 701, 'trace_an': -12}
  • id: 67408366
    {'hecke_orbit_code': 117093590345196608, 'n': 709, 'trace_an': -12}
  • id: 67408367
    {'hecke_orbit_code': 117093590345196608, 'n': 719, 'trace_an': 0}
  • id: 67408368
    {'hecke_orbit_code': 117093590345196608, 'n': 727, 'trace_an': 0}
  • id: 67408369
    {'hecke_orbit_code': 117093590345196608, 'n': 729, 'trace_an': -54}
  • id: 67408370
    {'hecke_orbit_code': 117093590345196608, 'n': 733, 'trace_an': 68}
  • id: 67408371
    {'hecke_orbit_code': 117093590345196608, 'n': 739, 'trace_an': 0}
  • id: 67408372
    {'hecke_orbit_code': 117093590345196608, 'n': 743, 'trace_an': 0}
  • id: 67408373
    {'hecke_orbit_code': 117093590345196608, 'n': 751, 'trace_an': 0}
  • id: 67408374
    {'hecke_orbit_code': 117093590345196608, 'n': 757, 'trace_an': 68}
  • id: 67408375
    {'hecke_orbit_code': 117093590345196608, 'n': 761, 'trace_an': 36}
  • id: 67408376
    {'hecke_orbit_code': 117093590345196608, 'n': 769, 'trace_an': 4}
  • id: 67408377
    {'hecke_orbit_code': 117093590345196608, 'n': 773, 'trace_an': -12}
  • id: 67408378
    {'hecke_orbit_code': 117093590345196608, 'n': 787, 'trace_an': 0}
  • id: 67408379
    {'hecke_orbit_code': 117093590345196608, 'n': 797, 'trace_an': 52}
  • id: 67408380
    {'hecke_orbit_code': 117093590345196608, 'n': 809, 'trace_an': -12}
  • id: 67408381
    {'hecke_orbit_code': 117093590345196608, 'n': 811, 'trace_an': 0}
  • id: 67408382
    {'hecke_orbit_code': 117093590345196608, 'n': 821, 'trace_an': -60}
  • id: 67408383
    {'hecke_orbit_code': 117093590345196608, 'n': 823, 'trace_an': 0}
  • id: 67408384
    {'hecke_orbit_code': 117093590345196608, 'n': 827, 'trace_an': 0}
  • id: 67408385
    {'hecke_orbit_code': 117093590345196608, 'n': 829, 'trace_an': 100}
  • id: 67408386
    {'hecke_orbit_code': 117093590345196608, 'n': 839, 'trace_an': 0}
  • id: 67408387
    {'hecke_orbit_code': 117093590345196608, 'n': 841, 'trace_an': 2}
  • id: 67408388
    {'hecke_orbit_code': 117093590345196608, 'n': 853, 'trace_an': -108}
  • id: 67408389
    {'hecke_orbit_code': 117093590345196608, 'n': 857, 'trace_an': -108}
  • id: 67408390
    {'hecke_orbit_code': 117093590345196608, 'n': 859, 'trace_an': 0}
  • id: 67408391
    {'hecke_orbit_code': 117093590345196608, 'n': 863, 'trace_an': 0}
  • id: 67408392
    {'hecke_orbit_code': 117093590345196608, 'n': 877, 'trace_an': 4}
  • id: 67408393
    {'hecke_orbit_code': 117093590345196608, 'n': 881, 'trace_an': 36}
  • id: 67408394
    {'hecke_orbit_code': 117093590345196608, 'n': 883, 'trace_an': 0}
  • id: 67408395
    {'hecke_orbit_code': 117093590345196608, 'n': 887, 'trace_an': 0}
  • id: 67408396
    {'hecke_orbit_code': 117093590345196608, 'n': 907, 'trace_an': 0}
  • id: 67408397
    {'hecke_orbit_code': 117093590345196608, 'n': 911, 'trace_an': 0}
  • id: 67408398
    {'hecke_orbit_code': 117093590345196608, 'n': 919, 'trace_an': 0}
  • id: 67408399
    {'hecke_orbit_code': 117093590345196608, 'n': 929, 'trace_an': -28}
  • id: 67408400
    {'hecke_orbit_code': 117093590345196608, 'n': 937, 'trace_an': -44}
  • id: 67408401
    {'hecke_orbit_code': 117093590345196608, 'n': 941, 'trace_an': 20}
  • id: 67408402
    {'hecke_orbit_code': 117093590345196608, 'n': 947, 'trace_an': 0}
  • id: 67408403
    {'hecke_orbit_code': 117093590345196608, 'n': 953, 'trace_an': -12}
  • id: 67408404
    {'hecke_orbit_code': 117093590345196608, 'n': 961, 'trace_an': 82}
  • id: 67408405
    {'hecke_orbit_code': 117093590345196608, 'n': 967, 'trace_an': 0}
  • id: 67408406
    {'hecke_orbit_code': 117093590345196608, 'n': 971, 'trace_an': 0}
  • id: 67408407
    {'hecke_orbit_code': 117093590345196608, 'n': 977, 'trace_an': -92}
  • id: 67408408
    {'hecke_orbit_code': 117093590345196608, 'n': 983, 'trace_an': 0}
  • id: 67408409
    {'hecke_orbit_code': 117093590345196608, 'n': 991, 'trace_an': 0}
  • id: 67408410
    {'hecke_orbit_code': 117093590345196608, 'n': 997, 'trace_an': 100}