Embedded newform data - 3025.2.a.n.1.2

Formats: - HTML - YAML - JSON - 2026-08-17T18:28:36.049993

• 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': 12100, 'analytic_conductor': 24.154746611437314, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [11, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3025, 1, [727, 2301], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 13, 'field_disc_factorization': [[13, 1]], 'field_poly': [-3, -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': [[2, [-3, -1, 1]], [3, [-3, 1, 1]], [19, [-1, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795189373905, 'hecke_ring_generator_nbound': 2, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3025.2.a.n', 'level': 3025, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5, 11], 'level_radical': 55, 'minimal_twist': '275.2.a.e', 'nf_label': '2.2.13.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{2}+(-1+\\beta )q^{3}+(1+\\beta )q^{4}+3q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3025.2.a', 'trace_display': [1, -1, 0, 5], 'trace_hash': 502107846979817812, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.957', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '9.619', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.585', 'prec': 10}, {'__RealLiteral__': 0, 'data': '67.172', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.016', 'prec': 7}, 'traces': [2, 1, -1, 3, 0, 6, 5, 6, 1, 0, 0, 5, 10, 9, 0, -3, 3, -6, 2, 0, 4, 0, 11, -3, 0, 5, -4, 14, 9, 0, 6, -7, 0, -18, 0, -5, -12, 1, -5, 0, 4, 15, 0, 0, 0, -1, 6, 8, 5, 0, -21, 15, -1, -15, 0, 15, -1, 24, -14, 0, 5, -23, -4, -4, 0, 0, 8, -15, -12, 0, 2, 3, -5, -19, 0, 3, 0, 30, 11, 0, -14, -11, 11, 19, 0, -26, 15, 0, 7, 0, 25, 10, -29, 3, 0, -3, -27, 35, 0, 0, -17, 9, 5, 30, 0, -7, -6, -19, -5, 0, -7, -1, 0, 6, 0, 33, 5, 19, -12, 0, 0, -17, -15, -17, 0, -15, -9, -27, -26, 0, 9, 0, 5, 4, 0, 9, 15, 33, -2, 0, -3, 14, 0, -8, 0, 17, 30, -31, -20, 0, 20, 6, 21, 0, 0, 25, -24, -14, -6, 0, 21, 6, -15, -7, 0, 38, -2, 12, 24, 0, 1, -26, 12, 27, 0, 0, 33, 10, 7, 0, -29, 45, -22, 33, 0, 18, 0, 9, -23, 0, 17, -37, 12, -7, 0, 40, 23, 0, -31, 0, -4, -41, 42, -12, 0, 22, 12, -15, 0, 0, 0, -8, 12, -3, 0, -12, -11, 30, 22, 0, 15, -36, 2, -24, 0, -39, 7, 5, -5, 0, 0, 27, 21, -30, 0, 5, -25, -45, -17, 0, 3, 0, 32, -12, 0, 12, 10, 18, 27, 0, 3, -19, 0, -50, 0, -25, 36, 0, -43, 0, -15, -15, -24, 0, 0, 9, 3, 12, -15, 0, -14, -24, 20, -12, 0, 21, 36, -27, 29, 0, 24, 18, 9, 16, 0, 0, -3, 3, 29, 0, 20, 12, 16, 15, 0, -36, 0, 16, 55, 0, -26, 49, -24, -3, 0, -9, -23, 0, 17, 0, -12, -15, -22, 14, 0, -3, -9, -3, 0, 0, 3, 30, 3, -8, 0, -1, 35, 12, 15, 0, -36, 49, 7, -53, 0, 7, -4, 12, -39, 0, 0, -6, 10, 0, 0, 45, -7, 42, 32, 0, -20, 0, 6, -42, 0, 17, -33, -29, -16, 0, -36, 5, 0, 70, 0, 15, 45, -23, 15, 0, -9, -11, 26, 0, 0, 18, 45, -57, 28, 0, -41, 2, 0, -6, 0, -20, 26, -34, 24, 0, 36, 15, -24, 5, 0, 0, -47, -48, 4, 0, -40, 24, 30, -58, 0, 99, 0, -63, -2, 0, -27, 27, -9, -33, 0, -35, -25, 0, 20, 0, 5, -91, 3, -3, 0, 6, -7, -9, 0, 0, -66, -7, -10, -51, 0, 25, 11, -15, -45, 0, -30, -90, 10, -43, 0, -77, 36, -49, 65, 0, 0, -39, 29, 10, 0, -3, -45, 56, 33, 0, -50, 0, -38, 6, 0, -9, -6, -25, 20, 0, 38, -42, 0, 33, 0, -57, 6, 37, 48, 0, -60, 86, 9, 0, 0, 3, 6, 15, 14, 0, 34, -3, -45, 5, 0, -35, 18, 33, -25, 0, -51, -18, 26, -12, 0, 0, -12, -59, -49, 0, 7, 22, -4, 18, 0, -26, 0, -93, 33, 0, -18, -27, -36, -6, 0, 27, 87, 0, 21, 0, -33, 14, 20, 21, 0, 24, -36, -66, 0, 0, -19, -33, 34, 9, 0, 75, 11, 3, 22, 0, 9, -36, 8, 31, 0, -29, 10, -18, 0, 0, 0, 51, 27, 15, 0, -2, -22, 6, 31, 0, -5, 0, -15, -21, 0, 37, -13, -44, -32, 0, 60, -81, 0, -15, 0, 34, 21, 45, 6, 0, -18, 5, -20, 0, 0, -4, -17, -5, -39, 0, -7, -78, 4, 69, 0, -51, 0, -7, 57, 0, 30, 12, -57, 8, 0, 0, -14, 15, 6, 0, -9, -45, 24, 40, 0, -50, 0, -10, 21, 0, -33, 33, -91, -24, 0, -9, 25, 0, -12, 0, 70, -18, 44, 51, 0, -18, 16, -42, 0, 0, -40, -16, 13, -15, 0, -19, -22, 27, 51, 0, 4, -5, -105, 33, 0, 36, 30, -55, -79, 0, 0, -27, 24, 102, 0, 36, -2, 0, -61, 0, 3, 0, -38, -5, 0, 57, 61, -26, -5, 0, 1, 57, 0, 29, 0, 45, 45, 55, -30, 0, 68, -75, -12, 0, 0, 81, -75, -9, -20, 0, 25, 21, 59, -36, 0, -22, 54, -34, 36, 0, 32, -18, 83, -24, 0, 0, 39, 75, 13, 0, 78, -7, 32, 29, 0, -32, 0, -12, -45, 0, -5, -24, 85, -87, 0, -39, -27, 0, -15, 0, -51, -9, -21, 120, 0, -80, -26, 53, 0, 0, 56, -27, 20, 19, 0, 78, -70, -7, 32, 0, -18, -8, 19, 0, 0, -81, -50, 12, 4, 0, 0, -99, -57, 25, 0, 27, 6, 28, 51, 0, -39, 0, 25, -30, 0, -79, 11, 15, 9, 0, -3, -46, 0, 20, 0, -115, -51, -51, -36, 0, 16, 141, -19, 0, 0, 51, 0, -27, -20, 0, -24, 45, -8, 15, 0, 15, 6, -21, -9, 0, -5, -20, -90, -6, 0, 0, 40, 23, 7, 0, 41, 9, 27, -91, 0, -18, 0, -5, -11, 0, -53, 18, 7, -36, 0, -18, -6, 0, 90, 0, -18, -33, 32, 27, 0, -5, -73, -62, 0, 0, 40, -15, -20, -1, 0, 7, 40, -16, 18, 0, -15, -15, -40, -75, 0, -8, 44, -21, -68, 0, 0, -75, 6, -60, 0, -87, -60, 65, -51, 0, 18, 0, -52, 0, 0, 60, 8, 17, 24, 0, -64, 8, 0, -29, 0, 51, 3, 36, -68, 0, 31, 1, 10, 0, 0, -45, -17, -51, 100, 0, 5, 12, -33, -81, 0, 15, -4, 36, -28, 0, -112, -72, 35, 47, 0, 0, 30, 8, -25, 0, -15, -36, -12, 3, 0, 20, 0, -15, 18, 0, 60, -95, -3, 89, 0, 63, 19, 0, -21, 0, 15, 35, -31, 29, 0, -27, 68, -45, 0, 0, -35, 43, 40, -45, 0, -81, 12, 15, 26, 0, -23, 5, 31, 48, 0, 60, 61, -45, 50, 0, 0, -6, -99, -15, 0, 26, -1, -7, 50, 0, 106, 0, 18, 72, 0, -27, 39, -31, 29, 0, 37, 36, 0, 9, 0, -15, 55, 54, 47, 0, 11, -78, -23, 0, 0, -136, 66, 36, -68, 0, 36, 108, -24, -42, 0, 34, 23, 27, -32, 0, 28, 3, -70, -54, 0, 0, 89, -61, 75, 0, -42, 42, 46, 15, 0, -55, 0, 24, -16, 0, 33, -12, -93, 21, 0, -81, -18, 0, 55, 0, 33, 49, 18, -47, 0, -87, 10, 111, 0, 0, 5, 95, -48, 51, 0, 45, -84, -15, -34, 0, -16, 24, 78, 57, 0, -9, 18, 67, 74, 0, 0, -6, -15, -47, 0, 11, -10, -130, -65, 0, -14, 0, -11, 75, 0, 33, -5, -9, 0, 0, 75, 7, 0, -24, 0, 10, 25, -95, 12, 0, -31, 69, 41, 0, 0, 51, 16, -24, 78, 0, 20, 6, -23, 130, 0, -15, 35, 36, 5, 0, 52, 147, 48, -61, 0, 0, -12, 27, -57, 0, 18, 50, -135, 108, 0, 90, 0, -23, 24, 0, 15, 69, 60, 55, 0, -23, -35, 0, -21, 0, 17, -60, -88, -93, 0, 50, -4, 0, 0, 0, -10, -23, -6, -104, 0, -24, -36, 60, -145, 0, 69, -75, 68, -26, 0, -4, 25, 126, 1, 0, 0, 15, 31, 63, 0, -74, -25, -15, 13, 0, 35, 0, 27, -20, 0, 32, -97, 55, 24, 0, -66, -63, 0, -57, 0, 51, -78, -15, 75, 0, 25, -72, -15, 0, 0, -72, 3, 108, 24, 0, -135, -101, 4, -36, 0, 0, -53, -33, -12, 0, 64, -18, 8, 175, 0, 0, -7, -6, -56, 0, -29, 61, 88, -15, 0, 22, 0, 63, -36, 0, 27, -15, 33, -83, 0, 34, 2, 0, 5, 0, -28, -33, 43, -45, 0, 52, -14, 20, 0, 0, -12, -1, -85, 15, 0, 42, 29, 6, 30, 0, 38, 41, -75, -41, 0, 45, -84, 16, -18, 0, 0, 43, 104, 93, 0, -6, 36, 6, 25, 0, -36, 0, 75, -86, 0, -53, 0, 98, 2, 0, 4, 72, 0, -92, 0, -39, -103, -102, -29, 0, 17, 21, 27, 0, 0, 85, 33, 3, 24, 0, 16, 67, 21, -15, 0, 26, -60, -35, 51, 0, -17, -97, 51, 36, 0, 0, -5, 22, -7, 0, -30, -3, -110, -36, 0, 87, 0, 63, 84, 0, -75, 8, 47, -95, 0, -19, 16, 0, -16, 0, -81, 87, -38, -174, 0, 99, -25, 68, 0, 0, 120, -33, 75, -4, 0, -133, 86, -69, 26, 0, 15, 21, 17, -51, 0, -50, -63, 57, -6, 0, 0, 81, -35, -54, 0, 9, 100, -87, -9, 0, -99, 0, 5, -52, 0, -5, 18, 78, -28, 0, 23, 0, 0, -66, 0, 3, -14, 74, 0, 0, 68, 17, 9, 0, 0, 3, -91, 23, -36, 0, -114, 30, 17, -33, 0, 49, 72, 76, 6, 0, 30, -13, -75, -33, 0, 0, -20, -27, -25, 0, 11, 46, 51, -21, 0, 9, 0, 165, 0, 0, -3, -69, -9, 117, 0, 81, 2, 0, -115, 0, 12, 80, -28, -68, 0, 75, 18, 51, 0, 0, -6, 78, 29, 95, 0, -63, -24, 55, -14, 0, 44, 108, -58, 36, 0, 55, -60, 26, -22, 0, 0, 47, 114, -129, 0, 36, -33, -11, -69, 0, -73, 0, 126, -63, 0, -126, 65, -50, 70, 0, 45, 3, 0, -23, 0, 69, 11, -72, -49, 0, -141, -117, 6, 0, 0, -85, -82, -77, 24, 0, 52, -93, -24, 38, 0, 19, -38, -54, -75, 0, 56, -21, 46, -86, 0, 0, -114, -12, 30, 0, 36, -85, 9, -45, 0, -7, 0, 60, -66, 0, -48, 177, 68, 126, 0, -42, -40, 0, -34, 0, 33, 54, -2, -26, 0, -29, 53, -75, 0, 0, 40, -12, 23, 18, 0, 48, 29, 12, -60, 0, -45, 6, 15, -36, 0, 36, 16, -128, -17, 0, 0, 108, -116, -135, 0, -45, 66, -31, 12, 0, -57, 0, 3, 33, 0, 43, -130, 49, -47, 0, -48, 196, 0, 14, 0, 72, 92, 0, 6, 0, 7, -15, 105, 0, 0, 10, 56, 27, -78, 0, 67, -59, 45, 36, 0, 62, -126, -43, 30, 0, 15, 9, 74, -3, 0, 0, 72, 58, 15, 0, -71, -9, -114, -99, 0, 29, 0, 86, 25, 0, 143, -15, -18, 87, 0, -33, 32, 0, -36, 0, 22, 20, 87, 40, 0, 81, -12, 10, 0, 0, -51, 66, 98, 20, 0, -61, -12, 48, 42, 0, 87, -105, 52, -45, 0, 97, -29, 45, -36, 0, 0, 2, 18, 113, 0, -22, 127, -177, -3, 0, 75, 0, -18, 6, 0, 3, -8, -24, -93, 0, 17, -82, 0, 165, 0, 130, 39, -84, 90, 0, -113, 9, -16, 0, 0, -78, -10, -39, -16, 0, 40, 89, -95, 4, 0, 21, 80, 51, -9, 0, -26, -58, 21, -3, 0, 0, -57, -74, -146, 0, 48, -15, -15, -18, 0, 69, 0, -60, -17, 0, -21, -69, -27, -49, 0, 70, 19, 0, 18, 0, -6, -83, -105, -15, 0, -135, 49, 37, 0, 0, -6, 35, -90, 63, 0, -36, 133, -87, 27, 0, 60, -40, 49, 24, 0, 56, -1, -66, 145, 0, 0, -43, -96, -34, 0, -67, 87, 23, 3, 0, 93, 0, -68, 93, 0, -75, -61, 85, 91, 0, -90, -27, 0, -21, 0, -162, -50, 9, 28, 0, 150, -51, 36, 0, 0, 33, -30, 9, -17, 0, 117, -126, -9, -155, 0, 18, 12, 9, -22, 0, -3, 72, 18, -10, 0, 0, -100, 9, 103, 0, -99, -129, 36, 96, 0, -87, 0, 35, -25, 0, 134, 2, 40, -31, 0, -31, 5, 0, 39, 0, 19, 15, 100, 77, 0, 124, 99, 42, 0, 0, -29, -126, -112, 45, 0, 30, -45, -130, -20, 0, 16, 8, 37, 144, 0, -108, -44, 66, 105, 0, 0, 81, -60, -28, 0, -70, -48, 129, 65, 0, 63, 0, -130, -57, 0, 126, 79, 9, -55, 0, 95, 52, 0, -7, 0, 27, -68, -53, -77, 0, 0, -12, 14, 0, 0, 48, 82, 60, 63, 0, -90, -32, -6, 0, 0, -80, -41, 125, -65, 0, -120, 155, -3, 43, 0, 0, 32, 45, 123, 0, 66, -19, -86, -70, 0, 108, 0, 30, 48, 0, -61, -118, 29, 52, 0, 47, -30, 0, -93, 0, -5, -129, -98, -45, 0, 69, 24, -73, 0, 0, 13, -21, -34, 90, 0, -12, 78, -45, -26, 0, -81, -2, 105, 96, 0, -33, 30, 10, -60, 0, 0, -12, -60, -72, 0, 30, -130, 33, -7, 0, 2, 0, -58, 207, 0, -40, 36, 18, -75, 0, -99, -21, 0, 9, 0, 62, 88, -1, -77, 0, 15, -35, 17, 0, 0, 9, 101, 148, -192, 0, 12, 36, 76, -28, 0, -222, 0, -15, -38, 0, -54, -45, 33, -48, 0, 0, 21, 190, 123, 0, -60, -3, 49, 30, 0, -108, 0, -42, -83, 0, -10, -53, 11, 96, 0, 18, -69, 0, -29, 0, -91, 35, 32, 60, 0, -115, -31, 62, 0, 0, -94, -42, -78, -42, 0, 7, -10, -30, -29, 0, -46, 135, -69, 33, 0, 117, -22, 3, -76, 0, 0, -1, 12, 9, 0, 108, 68, 89, -42, 0, 42, 0, 5, -23, 0, -27, 72, -37, -36, 0, -155, 87, 0, -18, 0, -130, -94, 78, -13, 0, -87, 19, -90, 0, 0, -51, -12, 72, 60, 0, -30, 60, 97, 160, 0, 24, 9, -169, 21, 0, -12, 135, -93, 27, 0, 0, 80, -46, -10, 0, 143, -20, 82, 84, 0, -64, 0, -72, 26, 0, 11, -48, 24, 64, 0, 27, -101, 0, 55, 0, -9, 36, -22, 125, 0, -9, -70, 0, 0, 0, 165, -16, 15, 7, 0, -96, 23, 117, 28, 0, 53, 87, 18, 50, 0, 4, -77, -17, 36, 0, 0, 78, -61, 207, 0, 24, 35, 60, 81, 0, 50, 0, 18, 72, 0, -2, -15, -165, -49, 0, 11, 61, 0, 48, 0, 108, -8, 129, -24, 0, -33, -45, -145, 0, 0, -17, 38, -27, 94, 0, -29, -90, 75, 51, 0, 108, -51, 102, 8, 0, 3, -43, -78, -167, 0, 0, -51, -30, -110, 0, -24, -141, -75, 56, 0, -109, 0, -110, -64, 0, 27, 165, -54, -15, 0, -39, -63, 0, -60, 0, 42, 112, -27, -30, 0, -120, 147, -78, 0, 0, 113, -20, -9, -18, 0, 9, -56, 90, -80, 0, 51, 171, -64, -72, 0, 151, 96, -26, 15, 0, 0, -27, 161, 97, 0, 183, 1, -32, 19, 0, 0, 0, 119, 45, 0, 22, 80, -51, 111, 0, -26, -131, 0, -6, 0, -69, -115, 169, 127, 0, -33, -41, 12, 0, 0, -45, 63, -34, 56, 0, 93, 51, 8, -68, 0, 61, -6, -27, -48, 0, -42, 45, 85, -72, 0, 0, -119, -36, 9, 0, -3, 75, 5, -156, 0, -185, 0, 44, 45, 0, 49, 6, -34, -66, 0, -66, -60, 0, 60, 0, -94, 62, -66, 60, 0, 129, 42, -66, 0, 0, 136, -35, 155, -134, 0, 15, -90, -19, -27, 0, -25, -91, -108, -72, 0, -27, -104, -45, -56, 0, 0, -59, 43, 9, 0, 4, 11, 200, -31, 0, 7, 0, -6, -205, 0, -18, -2, -28, 55, 0, 115, -21, 0, 131, 0, 31, -87, 9, 119, 0, 3, 66, -97, 0, 0, -12, -32, -174, -117, 0, 51, 163, 18, 9, 0, -198, -155, -67, -3, 0, -175, 36, -92, -51, 0, 0, -35, -30, 39, 0, 73, -1, 15, -73, 0, 93, 0, 29, -135, 0, 13, 65, -20, -176, 0, 105, 91, 0, 41, 0, 58, 33, 78, 70, 0, -205, -38, -7, 0, 0, -20, 45, -108, -135, 0, 57, -18, -141, 210, 0, -2, 6, -90, 45, 0, -135, 42, -108, 137, 0, 0, -60, 109, -68, 0, -71, 3, 30, -28, 0, 69, 0, 5, 21, 0, -26, -109, 123, -114, 0, -21, -49, 0, 57, 0, -73, -68, 110, -3, 0, 78, 60, -180, 0, 0, -99, -80, -93, -1, 0, 60, -29, -24, 195, 0, -12, -33, 14, -30, 0, -9, -24, -9, -36, 0, 0, 58, -94, 52, 0, 0, -117, -92, 137, 0, -163, 0, -60, -5, 0, -4, 2, 60, 24, 0, 72, 99, 0, 10, 0, 14, 47, 6, -3, 0, -8, -27, 168, 0, 0, -45, -135, 0, 30, 0, 225, 16, 46, -72, 0, -21, 156, 3, 126, 0, -40, 8, 84, -5, 0, 0, -132, -31, -96, 0, -150, 15, 21, 60, 0, -42, 0, -42, 17, 0, -21, 30, -114, -124, 0, -49, -15, 0, -72, 0, -237, -63, 9, 0, 0, 104, 96, 30, 0, 0, 33, 42, 107, 33, 0, 78, -18, -72, 76, 0, -100, -126, -60, -99, 0, 28, -31, -102, 60, 0, 0, 28, 44, -58, 0, -55, -99, 69, 18, 0, 72, 0, -249, -102, 0, -20, -108, -77, 150, 0, 48, -30, 0, 153, 0, 63, 255, 112, -8, 0, 44, 110, -31, 0, 0, -27, -74, 15, 17, 0, -99, 52, -65, -150, 0, -80, 27, -31, -43, 0, 41, 15, 3, 20, 0, 0, -48, 36, 144, 0, 93, -9, 192, -108, 0, 0, 0, -186, 113, 0, -180, -55, -108, 12, 0, 95, 92, 0, 128, 0, 63, -24, -63, 10, 0, -29, -108, 109, 0, 0, -95, 21, -13, -16, 0, -22, -120, -144, -69, 0, 91, -104, -53, -56, 0, -4, 18, -27, 78, 0, 0, 8, 59, -174, 0, -99, 35, 63, 45, 0, 135, 0, -195, 0, 0, -99, -5, -55, -129, 0, 102, 19, 0, 84, 0, 35, 45, -94, -273, 0, -22, -28, -135, 0, 0, -12, -57, 12, 25, 0, 28, -156, -27, 159, 0, 80, 134, 31, 153, 0, 69, -25, -62, -31, 0, 0, 54, -24, 78, 0, -57, 81, -60, -85, 0, -89, 0, -49, -75, 0, -42, 58, -214, -45, 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], [1.62830826899147, 0.0], [0.7521578651382534, 0.0], [1.6513878188659974, 0.0], [0.0, 0.0], [1.224744871391589, 0.0], [1.626296326392315, 0.0], [1.0606601717798212, 0.0], [-0.4342585459106649, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2421043363535653, 0.0], [1.3867504905630728, 0.0], [2.648111756095057, 0.0], [0.0, 0.0], [0.07569390943299867, 0.0], [-0.9479085107383098, 0.0], [-0.7071067811865476, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [1.2232315729414278, 0.0], [0.0, 0.0], [0.770924571535855, 0.0], [0.7977838904430836, 0.0], [0.0, 0.0], [2.258057290811829, 0.0], [-1.0787888459484614, 0.0], [2.685645943270789, 0.0], [1.8399301169147126, 0.0], [0.0, 0.0], [-0.7563363455251418, 0.0], [-0.9374071531377781, 0.0], [0.0, 0.0], [-1.5434872662825796, 0.0], [0.0, 0.0], [-0.7171292729553325, 0.0], [-1.5791429021959629, 0.0], [0.3735595364981822, 0.0], [1.0430552884613467, 0.0], [0.0, 0.0], [-0.2507449825942608, 0.0], [1.9917980851119694, 0.0], [-1.0996828295383152, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2553028546005387, 0.0], [0.4375949744936837, 0.0], [0.05693376932309258, 0.0], [1.644839741237139, 0.0], [0.0, 0.0], [-0.7129768417833083, 0.0], [2.2900628679223045, 0.0], [-0.3163105602461688, 0.0], [-1.7566007983536447, 0.0], [0.0, 0.0], [1.724947740916165, 0.0], [0.17255684861720744, 0.0], [2.995973423738669, 0.0], [0.02748321121058744, 0.0], [0.0, 0.0], [-0.37237310379048416, 0.0], [-1.231548725557378, 0.0], [-0.7062330779189827, 0.0], [-1.602081728298996, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4886777774252209, 0.0], [-1.5653645680326533, 0.0], [0.5798569799090315, 0.0], [0.0, 0.0], [0.546578377959197, 0.0], [-0.4606007439024612, 0.0], [0.3403939183418392, 0.0], [-2.5713314455648746, 0.0], [0.0, 0.0], [0.3788543483700491, 0.0], [0.0, 0.0], [1.6984155512168937, 0.0], [0.01031402808037396, 0.0], [0.0, 0.0], [-0.37716096939289007, 0.0], [-0.4082901285663571, 0.0], [1.5931050989587694, 0.0], [2.0200297192077676, 0.0], [0.0, 0.0], [-1.7906226446051758, 0.0], [1.3839179087421474, 0.0], [0.0, 0.0], [0.5620930934145287, 0.0], [0.0, 0.0], [2.255267228425466, 0.0], [1.2730954466987991, 0.0], [-0.5688843309766591, 0.0], [0.7125395154371765, 0.0], [0.0, 0.0], [-0.705078163069439, 0.0], [-1.1876731898936361, 0.0], [2.6783061518222233, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.09860052698039587, -0.18863607455142417, None, -0.0988759281987351, None, -0.12806142708885004, -0.32858689865766794, -0.23170340123991817, -0.18702099298912805, -0.06410840484834883, -0.3117229475910052, -0.39484855820508885, -0.27000629773739243, -0.34265592789135607, -0.21489329594921602, -0.27527732853791914, -0.24781288670548593, -0.2798064411606777, -0.21071453476893873, -0.2059442030328768, -0.22277980313196685, -0.24917923208585696, -0.1033273756719782, -0.20465923386228158, -0.3511937221011628, -0.4183768513166034, -0.18630398745325483, -0.2731607935502861, -0.1995075565257002, -0.3349502992079586, -0.3872908518015214, -0.25631699750144715, -0.23576022119222617, -0.30660830312631254, -0.2682212727177027, -0.08919789674957292, -0.2806023838731945, -0.2858121747197834, -0.35176147977171524, -0.13961764040587235, -0.28303264127782474, -0.30485648640075935, -0.21104956870556138, -0.2569395293990507, -0.19386326112003635, -0.41757708269196286, -0.41754043145803327, -0.3713826871198487, -0.22184549255234706, -0.17509007976458696, -0.22333098463889425, -0.22873225019871926, -0.10158129870662713, -0.26968120076916735, -0.15513058542254227, -0.2558079178814049, -0.3786806181269844, -0.3210309553275162, -0.1375778792163879, -0.13086747130901355, -0.23722737176140246, -0.17672247804196056, -0.2778079825285641, -0.32910033973320885, -0.3557401628030754, -0.2948777728323007, -0.31473083915354017, -0.119491016978596, -0.22635817896665897, -0.12259031294303609, -0.13621856462023793, -0.315739115298063, -0.14064476506484777, -0.2558613293899233, -0.14001054418941838, -0.15679778032603728, -0.20080342556523487, -0.359490676451664, -0.36888617829826637, -0.28253561967308166, -0.1960813780241385, -0.2332815200774977, -0.3962061139184687, -0.2691675474431259, -0.3322168124273042, -0.24472684809443537, -0.032218049723862816, -0.34622216088561747, -0.31797904980386826, -0.35422790016139133, -0.3465180938414852, -0.20130954334379828, -0.21284212072093636, -0.15801491028939812, -0.32996241697479056, -0.18964415401864504, -0.3490459355431808, -0.1641407943752244, -0.2624623121636524, -0.22691090060709573], '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': 2.302775637731995, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795189373905, 'label': '3025.2.a.n.1.2', 'level': 3025, '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': [37, 40, 44, 38], 'ALdims_eis_new': [4, 5, 8, 10], 'ALdims_eis_old': [13, 13, 10, 8], 'ALdims_old': [33, 38, 31, 34], 'Nk2': 12100, 'analytic_conductor': 24.154746611437314, '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': [3025, 1, [727, 2301], [1, 1]], 'conrey_index': 1, 'cusp_dim': 295, 'dim': 159, 'eis_dim': 71, 'eis_new_dim': 27, 'hecke_cutter_primes': [2, 3, 19], 'hecke_orbit_code': 33557457, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 8, 8, 8, 8, 8, 8, 12], 'label': '3025.2.a', 'level': 3025, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [5, 11], 'level_radical': 55, 'mf_dim': 366, 'mf_new_dim': 186, 'num_forms': 41, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 159, 'sturm_bound': 660, 'trace_bound': 6, 'trace_display': [1, -2, 0, -6], 'traces': [159, 1, -2, 147, 0, 2, -6, 3, 133, 0, 0, -12, -2, 4, 0, 123, 12, 11, -8, 0, 6, 0, 14, 16, 0, -4, -2, -8, 6, 0, -2, 7, 0, 40, 0, 123, -2, 8, -24, 0, 2, 56, -14, 0, 0, 30, -4, 24, 59, 0, 2, 14, -4, 6, 0, -20, 0, -12, 18, 0, 6, -22, -16, 63, 0, 0, -14, 14, 46, 0, 18, 39, 10, -24, 0, 8, 0, 40, -22, 0, 95, 16, -22, 64, 0, 68, 32, 0, 54, 0, -88, 0, -46, -64, 0, -4, -30, -7, 0, 0, -44, 24, -56, 32, 0, -34, 34, 12, -48, 0, -86, -4, 38, -48, 0, 6, -54, 2, 20, 0, 0, 10, 8, -60, 0, 76, 44, -13, -34, 0, 18, 0, -16, 10, 0, -56, 76, 14, 18, 0, -16, 46, 0, 75, 0, -26, -30, 8, -32, 0, 46, 116, 26, 0, 0, -8, 32, 80, 52, 0, -26, 9, -16, -98, 0, -72, -32, 76, -53, 0, 72, -28, -28, -208, 0, 0, -42, -56, 70, 0, -58, 16, 52, 32, 0, 42, 0, 36, -42, 0, 70, 64, -30, -20, 0, -129, -16, 0, 52, 0, -22, 86, 68, 32, 0, -44, 44, -42, 0, 0, -12, -84, -66, -160, 0, 68, -14, -176, 24, 0, 6, 54, -34, -144, 0, -64, 26, 0, -58, 0, 0, -152, 46, -16, 0, -112, 10, -40, 18, 0, -70, 0, -108, 2, 0, -92, -60, 24, 158, 0, -30, -12, 0, -108, 0, 67, 12, -88, 10, 0, 18, -20, 50, 0, 0, 36, -82, -56, -84, 0, -8, 26, 20, 20, 0, 88, 16, -164, 136, 0, 96, 0, 28, -96, 0, 0, 24, -61, -93, 0, -58, 2, 10, -34, 0, -102, 0, 16, 148, 0, -60, -160, -66, -156, 0, -188, -16, 0, -8, 0, 112, 148, -6, -44, 0, 28, 84, -92, 0, 0, 34, -92, -152, 3, 0, -40, 22, 132, 160, 0, 10, -20, 128, 16, 0, -32, -40, -57, 190, 0, 0, -88, 60, 28, 0, 54, 12, 0, 28, 0, -48, 0, 134, -58, 0, 64, 120, 58, -76, 0, -57, 28, 0, -184, 0, -348, -166, -56, 26, 0, 48, -160, 24, 0, 0, 28, 18, 172, -214, 0, -176, -10, -74, -112, 0, -168, -60, -164, 18, 0, 6, 3, 82, -16, 0, 0, -8, 16, -352, 0, -12, -94, 12, -202, 0, 312, 0, 68, -68, 0, -126, -100, 6, 20, 0, 176, -10, 0, 4, 0, -152, -156, 152, 110, 0, 18, -208, 60, 0, 0, -150, 228, -90, -72, 0, 18, -16, -20, -60, 0, -119, 12, 94, -280, 0, -190, 42, 44, -130, 0, 0, 16, -2, 456, 0, 16, -54, -28, 114, 0, -6, 0, -178, -102, 0, 232, -162, 30, -34, 0, -94, -20, 0, 64, 0, 284, 180, 8, 40, 0, -260, 78, -34, 0, 0, -28, -14, 254, 132, 0, 128, -80, 210, 168, 0, 168, 6, -60, 12, 0, -80, 82, -54, -184, 0, 0, 2, -12, 44, 0, 24, -97, 0, 102, 0, -100, 0, -104, 2, 0, 96, 148, -40, 108, 0, 380, -62, 0, -99, 0, 56, -128, 106, -6, 0, 60, -6, 6, 0, 0, 26, 88, 34, 244, 0, 352, -48, 74, -122, 0, -16, 48, -12, -260, 0, 84, 56, 52, -92, 0, 0, 182, 52, 308, 0, -116, -6, 8, 6, 0, -80, 0, 86, 140, 0, -561, 150, 123, -252, 0, 40, -30, 0, 134, 0, 368, 148, -8, -28, 0, 62, -100, 90, 0, 0, 194, 12, 192, 160, 0, 40, 0, 12, 328, 0, 304, -34, 152, 220, 0, -92, 146, 18, 324, 0, 0, 156, -80, -54, 0, 350, -48, -22, 268, 0, -116, 0, 174, -6, 0, 102, -56, -12, 144, 0, 388, -2, 0, -96, 0, 98, -128, -14, 92, 0, 52, 122, -21, 0, 0, -70, -144, 168, 44, 0, -230, -90, 180, -46, 0, 22, -34, 204, 148, 0, 78, 56, -124, 174, 0, 0, 408, -20, -576, 0, -353, -40, -126, -142, 0, 286, 0, -148, 92, 0, 44, -246, -16, -60, 0, -194, -102, 0, 40, 0, -952, 162, -372, -100, 0, 100, -372, 8, 0, 0, 44, 72, -320, 172, 0, -116, -74, 58, -140, 0, -456, 94, -112, -94, 0, 164, -3, 8, -364, 0, 0, 266, 32, 31, 0, -24, 8, 22, 206, 0, 20, 0, -348, 14, 0, 272, 272, 24, -268, 0, -94, -36, 0, 252, 0, 282, -384, 130, 216, 0, -344, 108, 102, 0, 0, -6, 236, -212, -80, 0, 114, 92, -128, 134, 0, -308, 42, 194, 316, 0, -78, -58, 96, 100, 0, 0, 228, 64, -289, 0, -648, 24, -38, 118, 0, -330, 0, -64, -202, 0, 416, 168, 0, 212, 0, 332, -22, 0, -444, 0, 48, 204, 254, 126, 0, -94, 68, -36, 0, 0, 172, -144, -20, -332, 0, 152, 34, -114, -204, 0, 108, -52, -336, -162, 0, 6, 22, -60, 96, 0, 0, -126, -124, 114, 0, -237, -50, -46, -208, 0, -228, 0, -196, 204, 0, -190, -348, -32, -300, 0, -288, -34, 0, -370, 0, 352, -124, -224, 44, 0, 272, -226, -28, 0, 0, -4, -200, -116, 292, 0, -140, -82, -480, 248, 0, 118, -21, -176, -150, 0, -14, 54, 112, 32, 0, 0, -120, 48, 628, 0, -40, -60, 8, -156, 0, -76, 0, 168, -178, 0, -400, -300, 148, 106, 0, 76, 0, 0, 44, 0, -152, 128, -20, -102, 0, 136, 252, 68, 0, 0, -250, -88, -228, 8, 0, -188, -22, 220, -302, 0, -100, 62, 252, -126, 0, -120, 98, 16, 100, 0, 0, -146, -44, -444, 0, 186, -64, 104, -314, 0, 336, 0, 312, 106, 0, -223, 314, -52, -6, 0, -276, -20, 0, -220, 0, -466, -176, -96, 154, 0, 10, -286, -104, 0, 0, -34, 256, 118, -292, 0, -96, 48, 72, 78, 0, -224, 16, -326, 108, 0, 24, -40, -52, -438, 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: 47637788
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795189373905, 'target_is_minimal': False, 'target_label': '3025.2.a.n.1.2', 'target_level': 3025, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47637789
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425150929, 'target_is_minimal': False, 'target_label': '3025.2.a.h.1.1', 'target_level': 3025, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47637790
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543036691, 'target_is_minimal': True, 'target_label': '275.2.a.e.1.1', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 47637791
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953596331, 'target_is_minimal': False, 'target_label': '2475.2.a.t.1.2', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 47637792
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 198158383637860656, 'target_is_minimal': False, 'target_label': '4400.2.a.bs.1.1', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 47637793
    {'conductor': 55, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268007772435, 'target_is_minimal': False, 'target_label': '275.2.b.c.199.1', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '55.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 47637794
    {'conductor': 55, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007772435, 'target_is_minimal': False, 'target_label': '275.2.b.c.199.4', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '55.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 47637795
    {'conductor': 55, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998170407187, 'target_is_minimal': True, 'target_label': '275.2.a.f.1.2', 'target_level': 275, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '55.54', 'twisting_conrey_index': 54, 'weight': 2}
  • id: 47637796
    {'conductor': 165, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 45036133746215339, 'target_is_minimal': False, 'target_label': '2475.2.c.k.199.4', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '165.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 47637797
    {'conductor': 165, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133746215339, 'target_is_minimal': False, 'target_label': '2475.2.c.k.199.1', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '165.98', 'twisting_conrey_index': 98, 'weight': 2}
  • id: 47637798
    {'conductor': 165, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394816743851, 'target_is_minimal': False, 'target_label': '2475.2.a.o.1.1', 'target_level': 2475, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '165.164', 'twisting_conrey_index': 164, 'weight': 2}
  • id: 47637799
    {'conductor': 220, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086459809927472, 'target_is_minimal': False, 'target_label': '4400.2.b.y.4049.2', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '220.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 47637800
    {'conductor': 220, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086459809927472, 'target_is_minimal': False, 'target_label': '4400.2.b.y.4049.3', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '220.87', 'twisting_conrey_index': 87, 'weight': 2}
  • id: 47637801
    {'conductor': 220, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795189373905, 'source_is_minimal': False, 'source_label': '3025.2.a.n.1.2', 'source_level': 3025, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 148618787736785200, 'target_is_minimal': False, 'target_label': '4400.2.a.bh.1.2', 'target_level': 4400, 'twist_class_label': '275.2.a.e.1.1', 'twist_class_level': 275, 'twisting_char_label': '220.219', 'twisting_conrey_index': 219, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2969700
    {'charpoly_factorization': [[[-3, -1, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 2}
  • id: 2969701
    {'charpoly_factorization': [[[-3, 1, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 3}
  • id: 2969702
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 5}
  • id: 2969703
    {'charpoly_factorization': [[[3, -5, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 7}
  • id: 2969704
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 11}
  • id: 2969705
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 13}
  • id: 2969706
    {'charpoly_factorization': [[[-27, -3, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 17}
  • id: 2969707
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 19}
  • id: 2969708
    {'charpoly_factorization': [[[27, -11, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 23}
  • id: 2969709
    {'charpoly_factorization': [[[-9, -9, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 29}
  • id: 2969710
    {'charpoly_factorization': [[[-43, -6, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 31}
  • id: 2969711
    {'charpoly_factorization': [[[23, 12, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 37}
  • id: 2969712
    {'charpoly_factorization': [[[-9, -4, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 41}
  • id: 2969713
    {'charpoly_factorization': [[[-52, 0, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 43}
  • id: 2969714
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 47}
  • id: 2969715
    {'charpoly_factorization': [[[-3, 1, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 53}
  • id: 2969716
    {'charpoly_factorization': [[[-3, 14, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 59}
  • id: 2969717
    {'charpoly_factorization': [[[-23, -5, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 61}
  • id: 2969718
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 58546795189373905, 'p': 67}
  • id: 2969719
    {'charpoly_factorization': [[[-12, -2, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 71}
  • id: 2969720
    {'charpoly_factorization': [[[-23, 5, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 73}
  • id: 2969721
    {'charpoly_factorization': [[[1, -11, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 79}
  • id: 2969722
    {'charpoly_factorization': [[[-51, -11, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 83}
  • id: 2969723
    {'charpoly_factorization': [[[9, -7, 1], 1]], 'hecke_orbit_code': 58546795189373905, 'p': 89}
  • id: 2969724
    {'charpoly_factorization': [[[179, 27, 1], 1]], 'hecke_orbit_code': 58546795189373905, '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': 14, 'label': '3025.2.a.n', 'level': 3025, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 58411951
    {'hecke_orbit_code': 58546795189373905, 'n': 1, 'trace_an': 2}
  • id: 58411952
    {'hecke_orbit_code': 58546795189373905, 'n': 2, 'trace_an': 1}
  • id: 58411953
    {'hecke_orbit_code': 58546795189373905, 'n': 3, 'trace_an': -1}
  • id: 58411954
    {'hecke_orbit_code': 58546795189373905, 'n': 4, 'trace_an': 3}
  • id: 58411955
    {'hecke_orbit_code': 58546795189373905, 'n': 5, 'trace_an': 0}
  • id: 58411956
    {'hecke_orbit_code': 58546795189373905, 'n': 6, 'trace_an': 6}
  • id: 58411957
    {'hecke_orbit_code': 58546795189373905, 'n': 7, 'trace_an': 5}
  • id: 58411958
    {'hecke_orbit_code': 58546795189373905, 'n': 8, 'trace_an': 6}
  • id: 58411959
    {'hecke_orbit_code': 58546795189373905, 'n': 9, 'trace_an': 1}
  • id: 58411960
    {'hecke_orbit_code': 58546795189373905, 'n': 10, 'trace_an': 0}
  • id: 58411961
    {'hecke_orbit_code': 58546795189373905, 'n': 11, 'trace_an': 0}
  • id: 58411962
    {'hecke_orbit_code': 58546795189373905, 'n': 12, 'trace_an': 5}
  • id: 58411963
    {'hecke_orbit_code': 58546795189373905, 'n': 13, 'trace_an': 10}
  • id: 58411964
    {'hecke_orbit_code': 58546795189373905, 'n': 14, 'trace_an': 9}
  • id: 58411965
    {'hecke_orbit_code': 58546795189373905, 'n': 15, 'trace_an': 0}
  • id: 58411966
    {'hecke_orbit_code': 58546795189373905, 'n': 16, 'trace_an': -3}
  • id: 58411967
    {'hecke_orbit_code': 58546795189373905, 'n': 17, 'trace_an': 3}
  • id: 58411968
    {'hecke_orbit_code': 58546795189373905, 'n': 18, 'trace_an': -6}
  • id: 58411969
    {'hecke_orbit_code': 58546795189373905, 'n': 19, 'trace_an': 2}
  • id: 58411970
    {'hecke_orbit_code': 58546795189373905, 'n': 20, 'trace_an': 0}
  • id: 58411971
    {'hecke_orbit_code': 58546795189373905, 'n': 21, 'trace_an': 4}
  • id: 58411972
    {'hecke_orbit_code': 58546795189373905, 'n': 22, 'trace_an': 0}
  • id: 58411973
    {'hecke_orbit_code': 58546795189373905, 'n': 23, 'trace_an': 11}
  • id: 58411974
    {'hecke_orbit_code': 58546795189373905, 'n': 24, 'trace_an': -3}
  • id: 58411975
    {'hecke_orbit_code': 58546795189373905, 'n': 25, 'trace_an': 0}
  • id: 58411976
    {'hecke_orbit_code': 58546795189373905, 'n': 26, 'trace_an': 5}
  • id: 58411977
    {'hecke_orbit_code': 58546795189373905, 'n': 27, 'trace_an': -4}
  • id: 58411978
    {'hecke_orbit_code': 58546795189373905, 'n': 28, 'trace_an': 14}
  • id: 58411979
    {'hecke_orbit_code': 58546795189373905, 'n': 29, 'trace_an': 9}
  • id: 58411980
    {'hecke_orbit_code': 58546795189373905, 'n': 30, 'trace_an': 0}
  • id: 58411981
    {'hecke_orbit_code': 58546795189373905, 'n': 31, 'trace_an': 6}
  • id: 58411982
    {'hecke_orbit_code': 58546795189373905, 'n': 32, 'trace_an': -7}
  • id: 58411983
    {'hecke_orbit_code': 58546795189373905, 'n': 33, 'trace_an': 0}
  • id: 58411984
    {'hecke_orbit_code': 58546795189373905, 'n': 34, 'trace_an': -18}
  • id: 58411985
    {'hecke_orbit_code': 58546795189373905, 'n': 35, 'trace_an': 0}
  • id: 58411986
    {'hecke_orbit_code': 58546795189373905, 'n': 36, 'trace_an': -5}
  • id: 58411987
    {'hecke_orbit_code': 58546795189373905, 'n': 37, 'trace_an': -12}
  • id: 58411988
    {'hecke_orbit_code': 58546795189373905, 'n': 38, 'trace_an': 1}
  • id: 58411989
    {'hecke_orbit_code': 58546795189373905, 'n': 39, 'trace_an': -5}
  • id: 58411990
    {'hecke_orbit_code': 58546795189373905, 'n': 40, 'trace_an': 0}
  • id: 58411991
    {'hecke_orbit_code': 58546795189373905, 'n': 41, 'trace_an': 4}
  • id: 58411992
    {'hecke_orbit_code': 58546795189373905, 'n': 42, 'trace_an': 15}
  • id: 58411993
    {'hecke_orbit_code': 58546795189373905, 'n': 43, 'trace_an': 0}
  • id: 58411994
    {'hecke_orbit_code': 58546795189373905, 'n': 44, 'trace_an': 0}
  • id: 58411995
    {'hecke_orbit_code': 58546795189373905, 'n': 45, 'trace_an': 0}
  • id: 58411996
    {'hecke_orbit_code': 58546795189373905, 'n': 46, 'trace_an': -1}
  • id: 58411997
    {'hecke_orbit_code': 58546795189373905, 'n': 47, 'trace_an': 6}
  • id: 58411998
    {'hecke_orbit_code': 58546795189373905, 'n': 48, 'trace_an': 8}
  • id: 58411999
    {'hecke_orbit_code': 58546795189373905, 'n': 49, 'trace_an': 5}
  • id: 58412000
    {'hecke_orbit_code': 58546795189373905, 'n': 50, 'trace_an': 0}
  • id: 58412001
    {'hecke_orbit_code': 58546795189373905, 'n': 51, 'trace_an': -21}
  • id: 58412002
    {'hecke_orbit_code': 58546795189373905, 'n': 52, 'trace_an': 15}
  • id: 58412003
    {'hecke_orbit_code': 58546795189373905, 'n': 53, 'trace_an': -1}
  • id: 58412004
    {'hecke_orbit_code': 58546795189373905, 'n': 54, 'trace_an': -15}
  • id: 58412005
    {'hecke_orbit_code': 58546795189373905, 'n': 55, 'trace_an': 0}
  • id: 58412006
    {'hecke_orbit_code': 58546795189373905, 'n': 56, 'trace_an': 15}
  • id: 58412007
    {'hecke_orbit_code': 58546795189373905, 'n': 57, 'trace_an': -1}
  • id: 58412008
    {'hecke_orbit_code': 58546795189373905, 'n': 58, 'trace_an': 24}
  • id: 58412009
    {'hecke_orbit_code': 58546795189373905, 'n': 59, 'trace_an': -14}
  • id: 58412010
    {'hecke_orbit_code': 58546795189373905, 'n': 60, 'trace_an': 0}
  • id: 58412011
    {'hecke_orbit_code': 58546795189373905, 'n': 61, 'trace_an': 5}
  • id: 58412012
    {'hecke_orbit_code': 58546795189373905, 'n': 62, 'trace_an': -23}
  • id: 58412013
    {'hecke_orbit_code': 58546795189373905, 'n': 63, 'trace_an': -4}
  • id: 58412014
    {'hecke_orbit_code': 58546795189373905, 'n': 64, 'trace_an': -4}
  • id: 58412015
    {'hecke_orbit_code': 58546795189373905, 'n': 65, 'trace_an': 0}
  • id: 58412016
    {'hecke_orbit_code': 58546795189373905, 'n': 66, 'trace_an': 0}
  • id: 58412017
    {'hecke_orbit_code': 58546795189373905, 'n': 67, 'trace_an': 8}
  • id: 58412018
    {'hecke_orbit_code': 58546795189373905, 'n': 68, 'trace_an': -15}
  • id: 58412019
    {'hecke_orbit_code': 58546795189373905, 'n': 69, 'trace_an': -12}
  • id: 58412020
    {'hecke_orbit_code': 58546795189373905, 'n': 70, 'trace_an': 0}
  • id: 58412021
    {'hecke_orbit_code': 58546795189373905, 'n': 71, 'trace_an': 2}
  • id: 58412022
    {'hecke_orbit_code': 58546795189373905, 'n': 72, 'trace_an': 3}
  • id: 58412023
    {'hecke_orbit_code': 58546795189373905, 'n': 73, 'trace_an': -5}
  • id: 58412024
    {'hecke_orbit_code': 58546795189373905, 'n': 74, 'trace_an': -19}
  • id: 58412025
    {'hecke_orbit_code': 58546795189373905, 'n': 75, 'trace_an': 0}
  • id: 58412026
    {'hecke_orbit_code': 58546795189373905, 'n': 76, 'trace_an': 3}
  • id: 58412027
    {'hecke_orbit_code': 58546795189373905, 'n': 77, 'trace_an': 0}
  • id: 58412028
    {'hecke_orbit_code': 58546795189373905, 'n': 78, 'trace_an': 30}
  • id: 58412029
    {'hecke_orbit_code': 58546795189373905, 'n': 79, 'trace_an': 11}
  • id: 58412030
    {'hecke_orbit_code': 58546795189373905, 'n': 80, 'trace_an': 0}
  • id: 58412031
    {'hecke_orbit_code': 58546795189373905, 'n': 81, 'trace_an': -14}
  • id: 58412032
    {'hecke_orbit_code': 58546795189373905, 'n': 82, 'trace_an': -11}
  • id: 58412033
    {'hecke_orbit_code': 58546795189373905, 'n': 83, 'trace_an': 11}
  • id: 58412034
    {'hecke_orbit_code': 58546795189373905, 'n': 84, 'trace_an': 19}
  • id: 58412035
    {'hecke_orbit_code': 58546795189373905, 'n': 85, 'trace_an': 0}
  • id: 58412036
    {'hecke_orbit_code': 58546795189373905, 'n': 86, 'trace_an': -26}
  • id: 58412037
    {'hecke_orbit_code': 58546795189373905, 'n': 87, 'trace_an': 15}
  • id: 58412038
    {'hecke_orbit_code': 58546795189373905, 'n': 88, 'trace_an': 0}
  • id: 58412039
    {'hecke_orbit_code': 58546795189373905, 'n': 89, 'trace_an': 7}
  • id: 58412040
    {'hecke_orbit_code': 58546795189373905, 'n': 90, 'trace_an': 0}
  • id: 58412041
    {'hecke_orbit_code': 58546795189373905, 'n': 91, 'trace_an': 25}
  • id: 58412042
    {'hecke_orbit_code': 58546795189373905, 'n': 92, 'trace_an': 10}
  • id: 58412043
    {'hecke_orbit_code': 58546795189373905, 'n': 93, 'trace_an': -29}
  • id: 58412044
    {'hecke_orbit_code': 58546795189373905, 'n': 94, 'trace_an': 3}
  • id: 58412045
    {'hecke_orbit_code': 58546795189373905, 'n': 95, 'trace_an': 0}
  • id: 58412046
    {'hecke_orbit_code': 58546795189373905, 'n': 96, 'trace_an': -3}
  • id: 58412047
    {'hecke_orbit_code': 58546795189373905, 'n': 97, 'trace_an': -27}
  • id: 58412048
    {'hecke_orbit_code': 58546795189373905, 'n': 98, 'trace_an': 35}
  • id: 58412049
    {'hecke_orbit_code': 58546795189373905, 'n': 99, 'trace_an': 0}
  • id: 58412050
    {'hecke_orbit_code': 58546795189373905, 'n': 100, 'trace_an': 0}