Newform data - 2736.2.a.ba

Formats: - HTML - YAML - JSON - 2024-04-16T17:02:30.162976

• 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': 10944, 'analytic_conductor': 21.847069993022313, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [19, -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': [2736, 1, [1711, 2053, 1217, 1009], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 28, 'field_disc_factorization': [[2, 2], [7, 1]], 'field_poly': [-7, 0, 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, [-7, 0, 1]], [7, [3, 1]], [11, [-7, 0, 1]], [13, [-2, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345190064, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -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': '2736.2.a.ba', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '684.2.a.e', 'nf_label': '2.2.28.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{5}-3q^{7}-\\beta q^{11}+2q^{13}-3\\beta q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2736.2.a', 'trace_display': [0, 0, 0, -6], 'trace_hash': 1066816102623229099, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.869', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.369', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '140.762', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.511', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -50, 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-14, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -28, 0, 0, 0, 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-28, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [-3, 0], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [-10, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [4, 0], [0, 0], [0, 0], [0, 0], [0, -4], [0, 0], [-1, 0], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [0, -2], [0, 0], [-7, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-7, 0], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [-12, 0], [0, 0], [0, 0], [0, 0], [0, -4], [0, 0], [-3, 0], [0, 0], [0, 0], [0, 0], [0, 3], [0, 0], [4, 0], [0, 0], [0, 0], [0, 0], [0, 6], [0, 0], [-21, 0], [0, 0], [0, 0], [0, 0], [0, 6], [0, 0], [-6, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [-14, 0], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [0, 1], [-3, 0], [0, -1], [2, 0], [0, -3], [1, 0], [0, 2], [0, 2], [-10, 0], [4, 0], [0, -4], [-1, 0], [0, -1], [0, -2], [0, 0], [-7, 0], [-12, 0], [0, -4], [-3, 0], [4, 0], [0, 6], [0, 6], [-14, 0], [0, 4], [-6, 0], [0, 2], [-12, 0], [0, -2], [-6, 0], [0, 3], [0, -1], [9, 0], [0, -3], [4, 0], [-14, 0], [-8, 0], [0, -6], [0, 6], [0, 6], [-2, 0], [0, 1], [-12, 0], [0, 4], [7, 0], [-12, 0], [28, 0], [0, 10], [-1, 0], [0, 3], [0, -3], [28, 0], [0, -7], [0, 4], [0, -3], [0, -6], [-28, 0], [19, 0], [0, -10], [3, 0], [0, 0], [-12, 0], [0, -5], [-22, 0], [0, -12], [-32, 0], [22, 0], [0, -5], [-35, 0], [0, 0], [0, -3], [32, 0], [-4, 0], [6, 0], [0, 10], [0, 3], [29, 0], [0, 8], [10, 0], [0, -6], [-22, 0], [0, 6], [2, 0], [-14, 0], [0, 7], [0, 8], [11, 0], [0, 13], [29, 0], [0, -11], [0, 10], [-16, 0], [0, 14], [-25, 0], [0, -6], [0, 6], [0, 4], [34, 0], [-25, 0], [26, 0], [0, -13], [0, 12], [0, 14], [16, 0], [17, 0], [0, -15], [0, 8], [0, -12], [40, 0], [22, 0], [-17, 0], [0, 3], [-4, 0], [-23, 0], [0, 18], [47, 0], [0, -13], [0, 15], [0, 2], [-32, 0], [8, 0], [0, 2], [0, 10], [-15, 0], [0, 4], [6, 0], [0, -5], [5, 0], [-6, 0], [-47, 0], [0, 8], [-32, 0], [-23, 0], [0, -3], [-47, 0], [0, 12], [-28, 0], [0, 0], [0, 3], [42, 0], [0, 15], [-11, 0], [0, 8], [24, 0], [0, 2], [-30, 0], [0, -12], [-7, 0], [0, 0], [22, 0], [0, 3], [41, 0], [0, -8], [-2, 0], [0, -18], [-32, 0], [0, -20], [5, 0], [0, 14], [0, -6], [0, 4], [-48, 0], [0, -16], [0, -14], [0, -12], [-16, 0], [-17, 0], [-8, 0], [0, 21], [0, -12], [14, 0], [0, -18], [26, 0], [-18, 0], [0, -9], [-20, 0], [0, -3], [-28, 0], [-1, 0], [-31, 0], [0, 10], [34, 0], [0, -4], [0, -9], [0, -9], [38, 0], [-4, 0], [-46, 0], [0, 6], [34, 0], [0, -1], [-34, 0], [0, -12], [0, -14], [0, -18], [-19, 0], [-6, 0], [0, -8], [0, 21], [0, 12], [44, 0], [28, 0], [14, 0], [0, 2], [0, -11], [49, 0], [0, -12], [0, 27], [-14, 0], [-46, 0], [0, -20], [-33, 0], [0, 12], [0, -6], [48, 0], [-24, 0], [0, -12], [0, -14], [0, -9], [-24, 0], [16, 0], [0, -2], [-41, 0], [0, 8], [-51, 0], [0, -8], [0, -24], [-8, 0], [0, -21], [9, 0], [-14, 0], [6, 0], [0, -4], [19, 0], [0, 15], [-27, 0], [0, -5], [0, 2], [0, 24], [0, -14], [29, 0], [-4, 0], [20, 0], [0, -6], [0, 9], [47, 0], [0, -28], [-32, 0], [0, 27], [22, 0], [0, -11], [0, 2], [-16, 0], [0, -23], [0, -14], [33, 0], [46, 0], [0, 0], [70, 0], [44, 0], [0, -12], [-45, 0], [30, 0], [0, 3], [-34, 0], [0, -6], [0, 9], [40, 0], [0, -3], [-6, 0], [-52, 0], [39, 0], [-11, 0], [-28, 0], [0, 0], [0, 21], [58, 0], [4, 0], [0, 9], [0, -24], [-40, 0], [0, -15], [-12, 0], [35, 0], [0, -21], [9, 0], [0, 18], [-31, 0], [0, -2], [0, -12], [0, -3], [0, -30], [0, -16], [20, 0], [0, 4], [76, 0], [0, 19], [0, -14], [75, 0], [-77, 0], [0, -2], [-25, 0], [0, -10], [-45, 0], [50, 0], [0, 24], [2, 0], [0, 27], [74, 0], [0, -11], [0, -12], [0, -16], [-24, 0], [0, 6], [-18, 0], [0, 27], [0, -14], [-61, 0], [0, 11], [80, 0], [-3, 0], [0, -30], [-50, 0], [0, 0], [48, 0], [-10, 0], [-64, 0], [0, 4], [0, -5], [-59, 0], [0, -18], [16, 0], [0, 7], [-33, 0], [0, -7], [-54, 0], [0, 18], [-19, 0], [8, 0], [-44, 0], [0, 15], [0, -30], [-8, 0], [0, -20], [0, -14], [-66, 0], [78, 0], [0, 14], [0, -21], [14, 0], [-52, 0], [0, 1], [42, 0], [80, 0], [0, 14], [0, -22], [0, -18], [0, -1], [0, 18], [-47, 0], [0, 4], [0, -24], [0, 20], [-17, 0], [-22, 0], [0, 12], [-54, 0], [-2, 0], [0, 6], [90, 0], [0, 23], [0, 8], [31, 0], [-67, 0], [0, -10], [0, -10], [-49, 0], [0, -27], [-12, 0], [0, -18], [0, 19], [-19, 0], [0, -33], [-42, 0], [0, 26], [-16, 0], [70, 0], [11, 0], [0, -14], [20, 0], [0, 22], [0, 30], [71, 0], [0, 0], [38, 0], [56, 0], [0, -2], [50, 0], [0, -36], [-28, 0], [0, 11], [6, 0], [0, 2], [0, 12], [13, 0], [-59, 0], [0, -20], [-10, 0], [0, -25], [-14, 0], [0, -27], [0, 10], [85, 0], [34, 0], [0, 36], [0, 18], [4, 0], [0, -12], [0, -38], [0, 36], [-22, 0], [0, -13], [0, -26], [-56, 0], [0, 6], [0, -22], [0, -7], [-35, 0], [0, 11]], 'char_orbit_index': 1, 'field_poly': [-7, 0, 1], 'hecke_orbit_code': 117093590345190064, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2736.2.a.ba', 'level': 2736, 'maxp': 2999, '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], [3, -1], [19, -1]], 7, 7], [[[2, -1], [3, 1], [19, -1]], 4, 3], [[[2, -1], [3, 1], [19, 1]], 4, 1], [[[2, 1], [3, 1], [19, 1]], 2, 2], [[[2, 1], [3, -1], [19, -1]], 5, 3], [[[2, -1], [3, -1], [19, 1]], 7, 6], [[[2, 1], [3, 1], [19, -1]], 8, 4], [[[2, 1], [3, -1], [19, 1]], 8, 6]], 'ALdims': [2, 8, 8, 5, 4, 4, 7, 7], 'Nk2': 10944, 'analytic_conductor': 21.847069993022313, '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': [2736, 1, [1711, 2053, 1217, 1009], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 457, 'dim': 45, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33557168, '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, 1, 1, 2, 2, 2, 2, 3, 3, 3, 4], 'label': '2736.2.a', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 504, 'mf_new_dim': 45, 'num_forms': 32, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 960, 'trace_bound': 13, 'trace_display': [0, 0, -2, -2], 'traces': [45, 0, 0, 0, -2, 0, -2, 0, 0, 0, -10, 0, -2, 0, 0, 0, 2, 0, 3, 0, 0, 0, 8, 0, 55, 0, 0, 0, 14, 0, 0, 0, 0, 0, -6, 0, 6, 0, 0, 0, 2, 0, 18, 0, 0, 0, 10, 0, 53, 0, 0, 0, 6, 0, 14, 0, 0, 0, 8, 0, -2, 0, 0, 0, 12, 0, -4, 0, 0, 0, -44, 0, 18, 0, 0, 0, 24, 0, 8, 0, 0, 0, 8, 0, -4, 0, 0, 0, 2, 0, 8, 0, 0, 0, 8, 0, -6, 0, 0, 0, -26, 0, 76, 0, 0, 0, 8, 0, -2, 0, 0, 0, 50, 0, 80, 0, 0, 0, -2, 0, 69, 0, 0, 0, -12, 0, 4, 0, 0, 0, 10, 0, 0, 0, 0, 0, 18, 0, 10, 0, 0, 0, 48, 0, 28, 0, 0, 0, 14, 0, 44, 0, 0, 0, 48, 0, -34, 0, 0, 0, 20, 0, 84, 0, 0, 0, -36, 0, 79, 0, 0, 0, -26, 0, 100, 0, 0, 0, -16, 0, -66, 0, 0, 0, 12, 0, 30, 0, 0, 0, 42, 0, 42, 0, 0, 0, -50, 0, -34, 0, 0, 0, 20, 0, -76, 0, 0, 0, 0, 0, -80, 0, 0, 0, 22, 0, -8, 0, 0, 0, 4, 0, 4, 0, 0, 0, 28, 0, 14, 0, 0, 0, 30, 0, -2, 0, 0, 0, 90, 0, -6, 0, 0, 0, -2, 0, -6, 0, 0, 0, 34, 0, 0, 0, 0, 0, 26, 0, 12, 0, 0, 0, 26, 0, 36, 0, 0, 0, -42, 0, -52, 0, 0, 0, -96, 0, -34, 0, 0, 0, 18, 0, 42, 0, 0, 0, -68, 0, 119, 0, 0, 0, -26, 0, -44, 0, 0, 0, 88, 0, 0, 0, 0, 0, 72, 0, -84, 0, 0, 0, -26, 0, 46, 0, 0, 0, -18, 0, 52, 0, 0, 0, -12, 0, -94, 0, 0, 0, 12, 0, 116, 0, 0, 0, 56, 0, 26, 0, 0, 0, 0, 0, -46, 0, 0, 0, 50, 0, -106, 0, 0, 0, -18, 0, -76, 0, 0, 0, 26, 0, 45, 0, 0, 0, -60, 0, -24, 0, 0, 0, -64, 0, -66, 0, 0, 0, 16, 0, 24, 0, 0, 0, 24, 0, -12, 0, 0, 0, 14, 0, -76, 0, 0, 0, -64, 0, -26, 0, 0, 0, -46, 0, -88, 0, 0, 0, -52, 0, -14, 0, 0, 0, -24, 0, 48, 0, 0, 0, -96, 0, -10, 0, 0, 0, 10, 0, -14, 0, 0, 0, -56, 0, -14, 0, 0, 0, 0, 0, -116, 0, 0, 0, 26, 0, -92, 0, 0, 0, -46, 0, -156, 0, 0, 0, -200, 0, 66, 0, 0, 0, -66, 0, 14, 0, 0, 0, -150, 0, -152, 0, 0, 0, 44, 0, 15, 0, 0, 0, -12, 0, 28, 0, 0, 0, -68, 0, -92, 0, 0, 0, -96, 0, -100, 0, 0, 0, -48, 0, -34, 0, 0, 0, 88, 0, -68, 0, 0, 0, 54, 0, 78, 0, 0, 0, 116, 0, -88, 0, 0, 0, -6, 0, -8, 0, 0, 0, -200, 0, 89, 0, 0, 0, -52, 0, -68, 0, 0, 0, 140, 0, -18, 0, 0, 0, 28, 0, -68, 0, 0, 0, 26, 0, 8, 0, 0, 0, -66, 0, 8, 0, 0, 0, -64, 0, -108, 0, 0, 0, -38, 0, 44, 0, 0, 0, -144, 0, 42, 0, 0, 0, 56, 0, 16, 0, 0, 0, 18, 0, 8, 0, 0, 0, -86, 0, -182, 0, 0, 0, 16, 0, 50, 0, 0, 0, -26, 0, 24, 0, 0, 0, -72, 0, -138, 0, 0, 0, 46, 0, 116, 0, 0, 0, 120, 0, 81, 0, 0, 0, -4, 0, -38, 0, 0, 0, 60, 0, -218, 0, 0, 0, -62, 0, 34, 0, 0, 0, 34, 0, -56, 0, 0, 0, -2, 0, -126, 0, 0, 0, -32, 0, -82, 0, 0, 0, 12, 0, -192, 0, 0, 0, -2, 0, -62, 0, 0, 0, 6, 0, -24, 0, 0, 0, 140, 0, -188, 0, 0, 0, 16, 0, -202, 0, 0, 0, 238, 0, 52, 0, 0, 0, -74, 0, -14, 0, 0, 0, 36, 0, -50, 0, 0, 0, -88, 0, 184, 0, 0, 0, 138, 0, 40, 0, 0, 0, 114, 0, 98, 0, 0, 0, -162, 0, -98, 0, 0, 0, 112, 0, -54, 0, 0, 0, -168, 0, -56, 0, 0, 0, 104, 0, -112, 0, 0, 0, 188, 0, -82, 0, 0, 0, -126, 0, 176, 0, 0, 0, -132, 0, 66, 0, 0, 0, -122, 0, -136, 0, 0, 0, -30, 0, -32, 0, 0, 0, -28, 0, -116, 0, 0, 0, 84, 0, -52, 0, 0, 0, 78, 0, -18, 0, 0, 0, 126, 0, -48, 0, 0, 0, 42, 0, 220, 0, 0, 0, 64, 0, 16, 0, 0, 0, 86, 0, -178, 0, 0, 0, -76, 0, 126, 0, 0, 0, -14, 0, -268, 0, 0, 0, 84, 0, 103, 0, 0, 0, 42, 0, -200, 0, 0, 0, -120, 0, 110, 0, 0, 0, 50, 0, -62, 0, 0, 0, -12, 0, 36, 0, 0, 0, 16, 0, -92, 0, 0, 0, -170, 0, 150, 0, 0, 0, 62, 0, 82, 0, 0, 0, 20, 0, 240, 0, 0, 0, -8, 0, 308, 0, 0, 0, -24, 0, -36, 0, 0, 0, 92, 0, -180, 0, 0, 0, -252, 0, -96, 0, 0, 0, -88, 0, 12, 0, 0, 0, -224, 0, -70, 0, 0, 0, -34, 0, 21, 0, 0, 0, -122, 0, -110, 0, 0, 0, -66, 0, 160, 0, 0, 0, -96, 0, 116, 0, 0, 0, 58, 0, 2, 0, 0, 0, 214, 0, 77, 0, 0, 0, -132, 0, -104, 0, 0, 0, 204, 0, -64, 0, 0, 0, 74, 0, -112, 0, 0, 0, -232, 0, -84, 0, 0, 0, 48, 0, 140, 0, 0, 0, 154, 0, 22, 0, 0, 0, 16, 0, 284, 0, 0, 0, 30, 0, 42, 0, 0, 0, 70, 0, -100, 0, 0, 0, -80, 0, 38, 0, 0, 0, 150, 0, -128, 0, 0, 0, -180, 0, 126, 0, 0, 0, -108, 0, 8, 0, 0, 0, -106, 0, 0, 0, 0, 0, 134, 0, -132, 0, 0, 0, 52, 0, -72, 0, 0, 0, 46, 0, 32, 0, 0, 0, -168, 0, -18, 0, 0, 0, 92, 0, -20, 0, 0, 0, 240, 0, 24, 0, 0, 0, 48, 0, 58, 0, 0, 0, 196, 0, 158, 0, 0, 0, -6, 0, 28, 0, 0, 0, 178, 0, 16, 0, 0, 0, 38, 0, -148, 0, 0, 0, -52, 0, 78, 0, 0, 0, -8, 0, 56, 0, 0, 0, -148, 0, 106, 0, 0, 0, -16, 0, 120, 0, 0, 0, 304, 0, 40, 0, 0, 0, -32, 0, 320, 0, 0, 0, 280, 0, -70, 0, 0, 0, 52, 0, -16, 0, 0, 0, 134, 0, 28, 0, 0, 0, 56, 0, -60, 0, 0, 0, 84, 0, 136, 0, 0, 0, -178, 0, 494, 0, 0, 0, -88, 0, 20, 0, 0, 0, -126, 0, 210, 0, 0, 0, -240, 0, 82, 0, 0, 0, -196, 0, -132, 0, 0, 0, 324, 0, 54, 0, 0, 0, 182, 0, 128, 0, 0, 0, -178, 0, 51, 0, 0, 0, 150, 0, 92, 0, 0, 0, -36, 0, 86, 0, 0, 0, 172, 0, 124, 0, 0, 0, 92, 0, 10, 0, 0, 0, -160, 0, -150, 0, 0, 0, 392, 0, -20, 0, 0, 0, 8, 0, -212, 0, 0, 0, 160, 0, -8, 0, 0, 0, -178, 0, 298, 0, 0, 0, -60, 0, -12, 0, 0, 0, -54, 0, 120, 0, 0, 0, 180, 0, 54, 0, 0, 0, -138, 0, -30, 0, 0, 0, -204, 0, 136, 0, 0, 0, -28, 0, 86, 0, 0, 0, -100, 0, 106, 0, 0, 0, 26, 0, -212, 0, 0, 0, -126, 0, -16, 0, 0, 0, -24, 0, 392, 0, 0, 0, 136, 0, 28, 0, 0, 0, 24, 0, 232, 0, 0, 0, 80, 0, -40, 0, 0, 0, -142, 0, -244, 0, 0, 0, -296, 0, 51, 0, 0, 0, 174, 0, 594, 0, 0, 0, -380, 0, 46, 0, 0, 0, 88, 0, 12, 0, 0, 0, -76, 0, -24, 0, 0, 0, 0, 0, -52, 0, 0, 0, -112, 0, 20, 0, 0, 0, -110, 0, -216, 0, 0, 0, 158, 0, -96, 0, 0, 0, 150, 0, 170, 0, 0, 0, 224, 0, 70, 0, 0, 0, -198, 0, 404, 0, 0, 0, -376, 0, -100, 0, 0, 0, -126, 0, -316, 0, 0, 0, 182, 0, 254, 0, 0, 0, 48, 0, 188, 0, 0, 0, 38, 0, 4, 0, 0, 0, -116, 0, 168, 0, 0, 0, -124, 0, -104, 0, 0, 0, -214, 0, 262, 0, 0, 0, -206, 0, 78, 0, 0, 0, 6, 0, -360, 0, 0, 0, -80, 0, 32, 0, 0, 0, -68, 0, 78, 0, 0, 0, 88, 0, -108, 0, 0, 0, -84, 0, 400, 0, 0, 0, -136, 0, 306, 0, 0, 0, -132, 0, 294, 0, 0, 0, 448, 0, -48, 0, 0, 0, 184, 0, 284, 0, 0, 0, 48, 0, 70, 0, 0, 0, -54, 0, -66, 0, 0, 0, 282, 0, -328, 0, 0, 0, 4, 0, 102, 0, 0, 0, -100, 0, 262, 0, 0, 0, 36, 0, -52, 0, 0, 0, -58, 0, -116, 0, 0, 0, 152, 0, 108, 0, 0, 0, 524, 0, -162, 0, 0, 0, 18, 0, 6, 0, 0, 0, 368, 0, 90, 0, 0, 0, 118, 0, -18, 0, 0, 0, 80, 0, -202, 0, 0, 0, 56, 0, -64, 0, 0, 0, 150, 0, 40, 0, 0, 0, 238, 0, 210, 0, 0, 0, -264, 0, 112, 0, 0, 0, 76, 0, 128, 0, 0, 0, -360, 0, -78, 0, 0, 0, 112, 0, 308, 0, 0, 0, 376, 0, -58, 0, 0, 0, -208, 0, 124, 0, 0, 0, -148, 0, -25, 0, 0, 0, -36, 0, -452, 0, 0, 0, -66, 0, 310, 0, 0, 0, -234, 0, -28, 0, 0, 0, -40, 0, -64, 0, 0, 0, 206, 0, -68, 0, 0, 0, 390, 0, 84, 0, 0, 0, 66, 0, -192, 0, 0, 0, 180, 0, -36, 0, 0, 0, 246, 0, 10, 0, 0, 0, -60, 0, 214, 0, 0, 0, -88, 0, -400, 0, 0, 0, 132, 0, 74, 0, 0, 0, 152, 0, 94, 0, 0, 0, -404, 0, 92, 0, 0, 0, -12, 0, 232, 0, 0, 0, -152, 0, -150, 0, 0, 0, 100, 0, -300, 0, 0, 0, -202, 0, 198, 0, 0, 0, 0, 0, 82, 0, 0, 0, 24, 0, 18, 0, 0, 0, -2, 0, -136, 0, 0, 0, -106, 0, 390, 0, 0, 0, 136, 0, -236, 0, 0, 0, -252, 0, -134, 0, 0, 0, 152, 0, -44, 0, 0, 0, -520, 0, -176, 0, 0, 0, -92, 0, 50, 0, 0, 0, -50, 0, -43, 0, 0, 0, 148, 0, 112, 0, 0, 0, -166, 0, 206, 0, 0, 0, 236, 0, -390, 0, 0, 0, 326, 0, 130, 0, 0, 0, -194, 0, -282, 0, 0, 0, 440, 0, 240, 0, 0, 0, 82, 0, 40, 0, 0, 0, -580, 0, -404, 0, 0, 0, 182, 0, 68, 0, 0, 0, 190, 0, 168, 0, 0, 0, -166, 0, 264, 0, 0, 0, 74, 0, -100, 0, 0, 0, 240, 0, -4, 0, 0, 0, 56, 0, 14, 0, 0, 0, 84, 0, -26, 0, 0, 0, -436, 0, -136, 0, 0, 0, -34, 0, -136, 0, 0, 0, -352, 0, -64, 0, 0, 0, 156, 0, 24, 0, 0, 0, 220, 0, 8, 0, 0, 0, -106, 0, 40, 0, 0, 0, -132, 0, 112, 0, 0, 0, -64, 0, 182, 0, 0, 0, 340, 0, -242, 0, 0, 0, -146, 0, -210, 0, 0, 0, 172, 0, 4, 0, 0, 0, 58, 0, 118, 0, 0, 0, 368, 0, 42, 0, 0, 0, 32, 0, -424, 0, 0, 0, -180, 0, 142, 0, 0, 0, -16, 0, -540, 0, 0, 0, -114, 0, -36, 0, 0, 0, 12, 0, 488, 0, 0, 0, 552, 0, 430, 0, 0, 0, -2, 0, -376, 0, 0, 0, 414, 0, -384, 0, 0, 0, 270, 0, -54, 0, 0, 0, 64, 0, 40, 0, 0, 0, -70, 0, -48, 0, 0, 0, 92, 0, 90, 0, 0, 0, -24, 0, 96, 0, 0, 0, -262, 0, 56, 0, 0, 0, -292, 0, 72, 0, 0, 0, -392, 0, 66, 0, 0, 0, -108, 0, -480, 0, 0, 0, 600, 0, -160, 0, 0, 0, 102, 0, 160, 0, 0, 0, -422, 0, -110, 0, 0, 0, -162, 0, -160, 0, 0, 0, -70, 0, -80, 0, 0, 0, 158, 0, -320, 0, 0, 0, 36, 0, -102, 0, 0, 0, -84, 0, -572, 0, 0, 0, 464, 0, 164, 0, 0, 0, -176, 0, 60, 0, 0, 0, 56, 0, -16, 0, 0, 0, 144, 0, -144, 0, 0, 0, -284, 0, -172, 0, 0, 0, 16, 0, -336, 0, 0, 0, 252, 0, 41, 0, 0, 0, -10, 0, -694, 0, 0, 0, -404, 0, 70, 0, 0, 0, -2, 0, -462, 0, 0, 0, -192, 0, -264, 0, 0, 0, -194, 0, 180, 0, 0, 0, -370, 0, -108, 0, 0, 0, 60, 0, -6, 0, 0, 0, 68, 0, -196, 0, 0, 0, 0, 0, 688, 0, 0, 0, 26, 0, 102, 0, 0, 0, -78, 0, -304, 0, 0, 0, -512, 0, -30, 0, 0, 0, -116, 0, -28, 0, 0, 0, -544, 0, 30, 0, 0, 0, 74, 0, -15, 0, 0, 0, -192, 0, -192, 0, 0, 0, 70, 0, -80, 0, 0, 0, -130, 0, 248, 0, 0, 0, -296, 0, 80, 0, 0, 0, 248, 0, 12, 0, 0, 0, 94, 0, 90, 0, 0, 0, 452, 0, -50, 0, 0, 0, -264, 0, -192, 0, 0, 0, -568, 0, -292, 0, 0, 0, -314, 0, 232, 0, 0, 0, 390, 0, -72, 0, 0, 0, -16, 0, 200, 0, 0, 0, 90, 0, -214, 0, 0, 0, -226, 0, -340, 0, 0, 0, -304, 0, 150, 0, 0, 0, -214, 0, 64, 0, 0, 0, -456, 0, -11, 0, 0, 0, 296, 0, -216, 0, 0, 0, -112, 0, -16, 0, 0, 0, -118, 0, -240, 0, 0, 0, 180, 0, -58, 0, 0, 0, 144, 0, 536, 0, 0, 0, -220, 0, -10, 0, 0, 0, -126, 0, 46, 0, 0, 0, 276, 0, 48, 0, 0, 0, -64, 0, -64, 0, 0, 0, 268, 0, -232, 0, 0, 0, -72, 0, -146, 0, 0, 0, 336, 0, -86, 0, 0, 0, -138, 0, 64, 0, 0, 0, -136, 0, 48, 0, 0, 0, 8, 0, 200, 0, 0, 0, -70, 0, -384, 0, 0, 0, 76, 0, -4, 0, 0, 0, 600, 0, 4, 0, 0, 0, 40, 0, 40, 0, 0, 0, 490, 0, -158, 0, 0, 0, -238, 0, -2, 0, 0, 0, 232, 0, 92, 0, 0, 0, 96, 0, 128, 0, 0, 0, 222, 0, -276, 0, 0, 0, 214, 0, 290, 0, 0, 0, -502, 0, 142, 0, 0, 0, 164, 0, 146, 0, 0, 0, -564, 0, -200, 0, 0, 0, 240, 0, -152, 0, 0, 0, 604, 0, -212, 0, 0, 0, -236, 0, -136, 0, 0, 0, -44, 0, -362, 0, 0, 0, -98, 0, -216, 0, 0, 0, -92, 0, 132, 0, 0, 0, -230, 0, -488, 0, 0, 0, 92, 0, -390, 0, 0, 0, 198, 0, 30, 0, 0, 0, 424, 0, 160, 0, 0, 0, -50, 0, -88, 0, 0, 0, 108, 0, 32, 0, 0, 0, 22, 0, -14, 0, 0, 0, -372, 0, 200, 0, 0, 0, 14, 0, 152, 0, 0, 0, 152, 0, -296, 0, 0, 0, 132, 0, -300, 0, 0, 0, -476, 0, -122, 0, 0, 0, 64, 0, 286, 0, 0, 0, 20, 0, -86, 0, 0, 0, -74, 0, -300, 0, 0, 0, -360, 0, -84, 0, 0, 0, -136, 0, 334, 0, 0, 0, -76, 0, -238, 0, 0, 0, -32, 0, 280, 0, 0, 0, 98, 0, 98, 0, 0, 0, 74, 0, -160, 0, 0, 0, -504, 0, -428, 0, 0, 0, -226, 0, 500, 0, 0, 0, -696, 0, -2, 0, 0, 0, -66, 0, 80, 0, 0, 0, -160, 0, -428, 0, 0, 0, -272, 0, -616, 0, 0, 0, -328, 0, 144, 0, 0, 0, 50, 0, 206, 0, 0, 0, 576, 0, -424, 0, 0, 0, -210, 0, -46, 0, 0, 0, 608, 0, -42, 0, 0, 0, 266, 0, 32, 0, 0, 0, -776, 0, 319, 0, 0, 0, 236, 0, -172, 0, 0, 0, 266, 0, -200, 0, 0, 0, -106, 0, 184, 0, 0, 0, 92, 0, -206, 0, 0, 0, 382, 0, 436, 0, 0, 0, 40, 0, -44, 0, 0, 0, 360, 0, 502, 0, 0, 0, -464, 0, -170, 0, 0, 0, -130, 0, -416, 0, 0, 0, -154, 0, 0, 0, 0, 0, 146, 0, 32, 0, 0, 0, 312, 0, 344, 0, 0, 0, -100, 0, 376, 0, 0, 0, -300, 0, 256, 0, 0, 0, 22, 0, 424, 0, 0, 0, 476, 0, -176, 0, 0, 0, -42, 0, 600, 0, 0, 0, -16, 0, -98, 0, 0, 0, 168, 0, 128, 0, 0, 0, 286, 0, 268, 0, 0, 0, 312, 0, -38, 0, 0, 0, 104, 0, -300, 0, 0, 0, -32, 0, -752, 0, 0, 0, -20, 0, 154, 0, 0, 0, -370, 0, 248, 0, 0, 0, 464, 0, 164, 0, 0, 0, -102, 0, -102, 0, 0, 0, 876, 0, 140, 0, 0, 0, 64, 0, 58, 0, 0, 0, -48, 0, -146, 0, 0, 0, -228, 0, -312, 0, 0, 0, 294, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 991701
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '2736.2.a.ba', 'source_level': 2736, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '684.2.a.e', 'target_level': 684, 'twist_class_label': '684.2.a.e', 'twist_class_level': 684, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 991702
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '2736.2.a.ba', 'source_level': 2736, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '684.2.a.e', 'target_level': 684, 'twist_class_label': '684.2.a.e', 'twist_class_level': 684, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 991703
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '2736.2.a.ba', 'source_level': 2736, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '2736.2.a.ba', 'target_level': 2736, 'twist_class_label': '684.2.a.e', 'twist_class_level': 684, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 991704
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '2736.2.a.ba', 'source_level': 2736, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '2736.2.a.ba', 'target_level': 2736, 'twist_class_label': '684.2.a.e', 'twist_class_level': 684, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2823050
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 2}
  • id: 2823051
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 3}
  • id: 2823052
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 5}
  • id: 2823053
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 7}
  • id: 2823054
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 11}
  • id: 2823055
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 13}
  • id: 2823056
    {'charpoly_factorization': [[[-63, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 17}
  • id: 2823057
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 19}
  • id: 2823058
    {'charpoly_factorization': [[[-28, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 23}
  • id: 2823059
    {'charpoly_factorization': [[[-28, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 29}
  • id: 2823060
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 31}
  • id: 2823061
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 37}
  • id: 2823062
    {'charpoly_factorization': [[[-112, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 41}
  • id: 2823063
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 43}
  • id: 2823064
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 47}
  • id: 2823065
    {'charpoly_factorization': [[[-28, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 53}
  • id: 2823066
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 59}
  • id: 2823067
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 61}
  • id: 2823068
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 67}
  • id: 2823069
    {'charpoly_factorization': [[[-112, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 71}
  • id: 2823070
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 73}
  • id: 2823071
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 117093590345190064, 'p': 79}
  • id: 2823072
    {'charpoly_factorization': [[[-252, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 83}
  • id: 2823073
    {'charpoly_factorization': [[[-252, 0, 1], 1]], 'hecke_orbit_code': 117093590345190064, 'p': 89}
  • id: 2823074
    {'charpoly_factorization': [[[14, 1], 2]], 'hecke_orbit_code': 117093590345190064, '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': '2736.2.a.ba', 'level': 2736, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 260246000
    {'hecke_orbit_code': 117093590345190064, 'n': 1, 'trace_an': 2}
  • id: 260246001
    {'hecke_orbit_code': 117093590345190064, 'n': 2, 'trace_an': 0}
  • id: 260246002
    {'hecke_orbit_code': 117093590345190064, 'n': 3, 'trace_an': 0}
  • id: 260246003
    {'hecke_orbit_code': 117093590345190064, 'n': 4, 'trace_an': 0}
  • id: 260246004
    {'hecke_orbit_code': 117093590345190064, 'n': 5, 'trace_an': 0}
  • id: 260246005
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  • id: 260246006
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  • id: 260246011
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  • id: 260246012
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  • id: 260246013
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  • id: 260246015
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  • id: 260246016
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  • id: 260246017
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  • id: 260246018
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  • id: 260246019
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  • id: 260246020
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  • id: 260246021
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  • id: 260246022
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  • id: 260246023
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  • id: 260246024
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  • id: 260246025
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  • id: 260246026
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  • id: 260246027
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  • id: 260246028
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  • id: 260246029
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  • id: 260246030
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  • id: 260246031
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  • id: 260246032
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  • id: 260246046
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  • id: 260246048
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  • id: 260246050
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  • id: 260246054
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  • id: 260246055
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  • id: 260246108
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  • id: 260246110
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  • id: 260246112
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  • id: 260246114
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  • id: 260246118
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  • id: 260246119
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  • id: 260246120
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  • id: 260246121
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  • id: 260246122
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  • id: 260246124
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  • id: 260246125
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  • id: 260246126
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  • id: 260246131
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  • id: 260246132
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  • id: 260246133
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  • id: 260246135
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  • id: 260246137
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  • id: 260246138
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  • id: 260246139
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  • id: 260246140
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  • id: 260246142
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  • id: 260246144
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  • id: 260246145
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  • id: 260246146
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  • id: 260246152
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  • id: 260246156
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  • id: 260246161
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  • id: 260246162
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  • id: 260246163
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  • id: 260246166
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  • id: 260246168
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  • id: 260246996
    {'hecke_orbit_code': 117093590345190064, 'n': 997, 'trace_an': -34}
  • id: 260246997
    {'hecke_orbit_code': 117093590345190064, 'n': 998, 'trace_an': 0}
  • id: 260246998
    {'hecke_orbit_code': 117093590345190064, 'n': 999, 'trace_an': 0}
  • id: 260246999
    {'hecke_orbit_code': 117093590345190064, 'n': 1000, 'trace_an': 0}