Embedded newform data - 1856.2.a.y.1.1

Formats: - HTML - YAML - JSON - 2024-04-16T21:11:38.743715

• 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': 7424, 'analytic_conductor': 14.820234615149639, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [1856, 1, [639, 581, 321], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 568, 'field_disc_factorization': [[2, 3], [71, 1]], 'field_poly': [-2, -6, -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': [[3, [8, -5, -2, 1]], [5, [-10, -3, 4, 1]], [17, [-2, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090448192, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1856.2.a.y', 'level': 1856, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'minimal_twist': '232.2.a.d', 'nf_label': '3.3.568.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{3}+(-1+\\beta _{2})q^{5}+(2+\\beta _{2})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1856.2.a', 'trace_display': [0, 2, -4, 0], 'trace_hash': 1456767069456678525, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.831', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.118', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.117', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '209.291', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [3, 0, 2, 0, -4, 0, 0, 0, 5, 0, 2, 0, -4, 0, 2, 0, 6, 0, -4, 0, 0, 0, 4, 0, 7, 0, 2, 0, -3, 0, 14, 0, -2, 0, 0, 0, 2, 0, 18, 0, 10, 0, -6, 0, 10, 0, 2, 0, -21, 0, 4, 0, 0, 0, 26, 0, -12, 0, 8, 0, -2, 0, 0, 0, -2, 0, 20, 0, 28, 0, -12, 0, 2, 0, 16, 0, 0, 0, 30, 0, -17, 0, 32, 0, -8, 0, -2, 0, 10, 0, 0, 0, 22, 0, -28, 0, -14, 0, 32, 0, -6, 0, 4, 0, 0, 0, 12, 0, 4, 0, -8, 0, -2, 0, 4, 0, -14, 0, 0, 0, 29, 0, 48, 0, -30, 0, 8, 0, -26, 0, 28, 0, 0, 0, 26, 0, 2, 0, 0, 0, -46, 0, -38, 0, 4, 0, -14, 0, 12, 0, 24, 0, 10, 0, -14, 0, -22, 0, 30, 0, 0, 0, -18, 0, 62, 0, -12, 0, 15, 0, -40, 0, -2, 0, 0, 0, -20, 0, -24, 0, -16, 0, -52, 0, -36, 0, 4, 0, 0, 0, 8, 0, -6, 0, -38, 0, 22, 0, 48, 0, 64, 0, 0, 0, -28, 0, 16, 0, -60, 0, 22, 0, 36, 0, -30, 0, 0, 0, -40, 0, -8, 0, 4, 0, -29, 0, -8, 0, 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-70, 0, -172, 0, 0, 0, -6, 0, 276, 0, 184, 0, -100, 0, -188, 0, 76, 0, 0, 0, 176, 0, -90, 0, -132, 0, -110, 0, 24, 0, -116, 0, 0, 0, -60, 0, -40, 0, 146, 0, 96, 0, 160, 0, -4, 0, 14, 0, -128, 0, -188, 0, -62, 0, -30, 0, -62, 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

  
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-0.35835422012856594, -0.41951468624584903, -0.31751679083350515, -0.30295746821555425, -0.2829943540230308, -0.18804587953451324, -0.25437388765167895, -0.1131745893957597, -0.24000682359768657, -0.26103688676468917, -0.10788007436647108, -0.20783556865068095, -0.3390823207043277, -0.1600810776154765, -0.19796325074406132, -0.3487218994349179, -0.22699674953424961, -0.07304833250985973, -0.3014381860419516, -0.1881365033278617, -0.14465246304261845, -0.3063727451988793, -0.3782999371556628], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 3.124885419764574, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090448192, 'label': '1856.2.a.y.1.1', 'level': 1856, 'weight': 2}
• 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], [29, -1]], 11, 10], [[[2, 1], [29, -1]], 17, 9], [[[2, -1], [29, 1]], 17, 5], [[[2, 1], [29, 1]], 11, 5]], 'ALdims': [11, 17, 17, 11], 'Nk2': 7424, 'analytic_conductor': 14.820234615149639, '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': [1856, 1, [639, 581, 321], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 229, 'dim': 56, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 17], 'hecke_orbit_code': 33556288, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 5, 5, 6], 'label': '1856.2.a', 'level': 1856, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'mf_dim': 252, 'mf_new_dim': 56, 'num_forms': 29, 'plus_dim': 22, 'prim_orbit_index': 1, 'relative_dim': 56, 'sturm_bound': 480, 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0, -160, 0, 0, 0, -480, 0, 0, 0, 512, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, 432, 0, 0, 0, -96, 0, 0, 0, 496, 0, 0, 0, -64, 0, 0, 0, -464, 0, 0, 0, -336, 0, 0, 0, 848, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, 288, 0, 0, 0, -608, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -816, 0, 0, 0, 80, 0, 0, 0, -560, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, -112, 0, 0, 0, 320, 0, 0, 0, 208, 0, 0, 0, 160, 0, 0, 0, 96, 0, 0, 0, -592, 0, 0, 0, -8, 0, 0, 0, -416, 0, 0, 0, 256, 0, 0, 0, -336, 0, 0, 0, -256, 0, 0, 0, -368, 0, 0, 0, -32, 0, 0, 0, -192, 0, 0, 0, 112, 0, 0, 0, -288, 0, 0, 0, -224, 0, 0, 0, -400, 0, 0, 0, 48, 0, 0, 0, -128, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, -96, 0, 0, 0, 256, 0, 0, 0, 224, 0, 0, 0, -736, 0, 0, 0, 192, 0, 0, 0, 736, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, -864, 0, 0, 0, 368, 0, 0, 0, 528, 0, 0, 0, -160, 0, 0, 0, -624, 0, 0, 0, -272, 0, 0, 0, 192, 0, 0, 0, 256, 0, 0, 0, 944, 0, 0, 0, 160, 0, 0, 0, 640, 0, 0, 0, 256, 0, 0, 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0, 0, 0, 96, 0, 0, 0, -416, 0, 0, 0, -128, 0, 0, 0, 864, 0, 0, 0, 400, 0, 0, 0, 352, 0, 0, 0, -128, 0, 0, 0, 416, 0, 0, 0, -432, 0, 0, 0, 752, 0, 0, 0, 576, 0, 0, 0, -32, 0, 0, 0, 320, 0, 0, 0, 384, 0, 0, 0, 96, 0, 0, 0, 336, 0, 0, 0, 208, 0, 0, 0, 400, 0, 0, 0, -224, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 224, 0, 0, 0, -640, 0, 0, 0, -16, 0, 0, 0, 768, 0, 0, 0, -352, 0, 0, 0, -256, 0, 0, 0, -448, 0, 0, 0, -336, 0, 0, 0, -352, 0, 0, 0, -160, 0, 0, 0, -480, 0, 0, 0, 832, 0, 0, 0, -32, 0, 0, 0, 16, 0, 0, 0, 352, 0, 0, 0, 1200, 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: 48522762
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090448192, 'target_is_minimal': False, 'target_label': '1856.2.a.y.1.1', 'target_level': 1856, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48522763
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 103582791463077696, 'target_is_minimal': False, 'target_label': '1856.2.a.x.1.3', 'target_level': 1856, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48522764
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666152, 'target_is_minimal': True, 'target_label': '232.2.a.d.1.1', 'target_level': 232, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48522765
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532396679889360, 'target_is_minimal': False, 'target_label': '464.2.a.j.1.3', 'target_level': 464, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48522766
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 207165582892601424, 'target_is_minimal': False, 'target_label': '4176.2.a.bu.1.2', 'target_level': 4176, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48522767
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793326225448, 'target_is_minimal': False, 'target_label': '2088.2.a.s.1.2', 'target_level': 2088, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48522768
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 67553994444117672, 'target_is_minimal': False, 'target_label': '5800.2.a.p.1.3', 'target_level': 5800, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48522769
    {'conductor': 232, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090448192, 'source_is_minimal': False, 'source_label': '1856.2.a.y.1.1', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532396679895624, 'target_is_minimal': False, 'target_label': '6728.2.a.j.1.3', 'target_level': 6728, 'twist_class_label': '232.2.a.d.1.1', 'twist_class_level': 232, 'twisting_char_label': '232.115', 'twisting_conrey_index': 115, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2256975
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 108086391090448192, 'p': 2}
  • id: 2256976
    {'charpoly_factorization': [[[8, -5, -2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 3}
  • id: 2256977
    {'charpoly_factorization': [[[-10, -3, 4, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 5}
  • id: 2256978
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 108086391090448192, 'p': 7}
  • id: 2256979
    {'charpoly_factorization': [[[80, -29, -2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 11}
  • id: 2256980
    {'charpoly_factorization': [[[-2, -19, 4, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 13}
  • id: 2256981
    {'charpoly_factorization': [[[-2, 1], 3]], 'hecke_orbit_code': 108086391090448192, 'p': 17}
  • id: 2256982
    {'charpoly_factorization': [[[-32, -28, 4, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 19}
  • id: 2256983
    {'charpoly_factorization': [[[64, -20, -4, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 23}
  • id: 2256984
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 108086391090448192, 'p': 29}
  • id: 2256985
    {'charpoly_factorization': [[[-68, 59, -14, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 31}
  • id: 2256986
    {'charpoly_factorization': [[[32, -32, -2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 37}
  • id: 2256987
    {'charpoly_factorization': [[[512, -64, -10, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 41}
  • id: 2256988
    {'charpoly_factorization': [[[32, -37, 6, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 43}
  • id: 2256989
    {'charpoly_factorization': [[[452, -117, -2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 47}
  • id: 2256990
    {'charpoly_factorization': [[[-58, -43, 0, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 53}
  • id: 2256991
    {'charpoly_factorization': [[[16, -4, -8, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 59}
  • id: 2256992
    {'charpoly_factorization': [[[-328, -100, 2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 61}
  • id: 2256993
    {'charpoly_factorization': [[[640, 32, -20, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 67}
  • id: 2256994
    {'charpoly_factorization': [[[-1696, -148, 12, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 71}
  • id: 2256995
    {'charpoly_factorization': [[[-160, -96, -2, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 73}
  • id: 2256996
    {'charpoly_factorization': [[[-388, 251, -30, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 79}
  • id: 2256997
    {'charpoly_factorization': [[[-976, 316, -32, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 83}
  • id: 2256998
    {'charpoly_factorization': [[[2816, -256, -10, 1], 1]], 'hecke_orbit_code': 108086391090448192, 'p': 89}
  • id: 2256999
    {'charpoly_factorization': [[[-64, 32, 14, 1], 1]], 'hecke_orbit_code': 108086391090448192, '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': 25, 'label': '1856.2.a.y', 'level': 1856, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 256958000
    {'hecke_orbit_code': 108086391090448192, 'n': 1, 'trace_an': 3}
  • id: 256958001
    {'hecke_orbit_code': 108086391090448192, 'n': 2, 'trace_an': 0}
  • id: 256958002
    {'hecke_orbit_code': 108086391090448192, 'n': 3, 'trace_an': 2}
  • id: 256958003
    {'hecke_orbit_code': 108086391090448192, 'n': 4, 'trace_an': 0}
  • id: 256958004
    {'hecke_orbit_code': 108086391090448192, 'n': 5, 'trace_an': -4}
  • id: 256958005
    {'hecke_orbit_code': 108086391090448192, 'n': 6, 'trace_an': 0}
  • id: 256958006
    {'hecke_orbit_code': 108086391090448192, 'n': 7, 'trace_an': 0}
  • id: 256958007
    {'hecke_orbit_code': 108086391090448192, 'n': 8, 'trace_an': 0}
  • id: 256958008
    {'hecke_orbit_code': 108086391090448192, 'n': 9, 'trace_an': 5}
  • id: 256958009
    {'hecke_orbit_code': 108086391090448192, 'n': 10, 'trace_an': 0}
  • id: 256958010
    {'hecke_orbit_code': 108086391090448192, 'n': 11, 'trace_an': 2}
  • id: 256958011
    {'hecke_orbit_code': 108086391090448192, 'n': 12, 'trace_an': 0}
  • id: 256958012
    {'hecke_orbit_code': 108086391090448192, 'n': 13, 'trace_an': -4}
  • id: 256958013
    {'hecke_orbit_code': 108086391090448192, 'n': 14, 'trace_an': 0}
  • id: 256958014
    {'hecke_orbit_code': 108086391090448192, 'n': 15, 'trace_an': 2}
  • id: 256958015
    {'hecke_orbit_code': 108086391090448192, 'n': 16, 'trace_an': 0}
  • id: 256958016
    {'hecke_orbit_code': 108086391090448192, 'n': 17, 'trace_an': 6}
  • id: 256958017
    {'hecke_orbit_code': 108086391090448192, 'n': 18, 'trace_an': 0}
  • id: 256958018
    {'hecke_orbit_code': 108086391090448192, 'n': 19, 'trace_an': -4}
  • id: 256958019
    {'hecke_orbit_code': 108086391090448192, 'n': 20, 'trace_an': 0}
  • id: 256958020
    {'hecke_orbit_code': 108086391090448192, 'n': 21, 'trace_an': 0}
  • id: 256958021
    {'hecke_orbit_code': 108086391090448192, 'n': 22, 'trace_an': 0}
  • id: 256958022
    {'hecke_orbit_code': 108086391090448192, 'n': 23, 'trace_an': 4}
  • id: 256958023
    {'hecke_orbit_code': 108086391090448192, 'n': 24, 'trace_an': 0}
  • id: 256958024
    {'hecke_orbit_code': 108086391090448192, 'n': 25, 'trace_an': 7}
  • id: 256958025
    {'hecke_orbit_code': 108086391090448192, 'n': 26, 'trace_an': 0}
  • id: 256958026
    {'hecke_orbit_code': 108086391090448192, 'n': 27, 'trace_an': 2}
  • id: 256958027
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